ATTAOUI, M. O., FAHMY, H., PASTORE, F., & BRIAND, L. (In press). Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58139. doi:10.1145/3643671

Unke, O. T., Stöhr, M., Ganscha, S., Unterthiner, T., Maennel, H., Kashubin, S., Ahlin, D., Gastegger, M., Medrano Sandonas, L., BERRYMAN, J., TKATCHENKO, A.* , & Müller, K.-R.*. (05 April 2024). Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments. Science Advances, 10 (14), 4397. doi:10.1126/sciadv.adn4397

KISHK, A., PIRES PACHECO, M. I., HEURTAUX, T., & SAUTER, T. (27 March 2024). Metabolic models predict fotemustine and the combination of eflornithine/rifamycin and adapalene/cannabidiol for the treatment of gliomas. Briefings in Bioinformatics, 25 (3). doi:10.1093/bib/bbae199

ADHAV, P. (2024). An innovative and accurate technology for Multi-Physics Digital Twins in High-Performance Computing [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/60647

DITTE, M., BARBORINI, M., & TKATCHENKO, A. (06 March 2024). Quantum Drude oscillators coupled with Coulomb potential as an efficient model for bonded and non-covalent interactions in atomic dimers. Journal of Chemical Physics, 160 (9), 094309. doi:10.1063/5.0196690

DELGADO FERNANDEZ, J., BARBEREAU, T. J., & PAPAGEORGIOU, O. (2024). Agent-based Model of Initial Token Allocations: Simulating Distributions post Fair Launch. ACM Transactions on Management Information Systems. doi:10.1145/3649318

KISHK, A. (2024). Towards Effective Prediction of Repurposable Drugs Through Metabolic Modeling: Evaluation Against Approved Drugs Using Preclinical and Clinical Data [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/61141

JAEGER, T., Mokos, A., Prasianakis, N. I., & LEYER, S. (2024). Validating the Transition Criteria from the Cassie−Baxter to the Wenzel State for Periodically Pillared Surfaces with Lattice Boltzmann Simulations. ACS Omega. doi:10.1021/acsomega.3c08862

STOLFI ROSSO, D., & DANOY, G. (February 2024). Evolutionary swarm formation: From simulations to real world robots. Engineering Applications of Artificial Intelligence, 128, 107501. doi:10.1016/j.engappai.2023.107501

MINGO NDIWAGO, D., Nijzink, R., LEY, C., & HALE, J. (2024). Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo and Thermodynamic Integration. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/59491. doi:10.5194/egusphere-2023-2865

ADHAV, P., Feng, Z., Ni, T., PETERS, B., & Fan, X. (2024). Numerical insights into rock–ice avalanche geophysical flow mobility through CFD–DEM simulation. Computational Particle Mechanics. doi:10.1007/s40571-023-00699-3

BESSERON, X., ADHAV, P., & PETERS, B. (2024). Parallel Multi-Physics Coupled Simulation of a Midrex Blast Furnace. Conference on High Performance Computing in Asia-Pacific Region Workshops (HPCAsiaWS 2024). doi:10.1145/3636480.3636484

FELTEN, F.* , Alegre, L. N.* , Nowé, A., L. C. Bazzan, A., TALBI, E.-G., DANOY, G., & C. da Silva, B. (2024). A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. In A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. United States: Curran Associates.

LANDOULSI, Z.* , PACHCHEK, S.* , BOBBILI, D. R., PAVELKA, L., MAY, P.* , KRÜGER, R.* , & NCER-PD consortium. (20 December 2023). Genetic landscape of Parkinson’s disease and related diseases in Luxembourg. Frontiers in Aging Neuroscience, 15. doi:10.3389/fnagi.2023.1282174

Gomez Ramos, B., Ohnmacht, J., de Lange, N., VALCESCHINI, E., GINOLHAC, A., CATILLON, M., FERRANTE, D., Rakovic, A., HALDER, R., Massart, F., ARENA, G., ANTONY, P., BOLOGNIN, S., Klein, C., KRAUSE, R., Schulz, M. H., SAUTER, T., Krüger, R., & SINKKONEN, L. (2023). Multiomics analysis identifies novel facilitators of human dopaminergic neuron differentiation. EMBO Reports. doi:10.1038/s44319-023-00024-2

Coppola, A., Krithika, S., Iacomino, M., BOBBILI, D. R., Balestrini, S., Bagnasco, I., Bilo, L., Buti, D., Casellato, S., Cuccurullo, C., Ferlazzo, E., Leu, C., Giordano, L., Gobbi, G., Hernandez-Hernandez, L., Lench, N., Martins, H., Meletti, S., Messana, T., ... Sisodiya, S. M. (2023). Dissecting the genetics of spectrum of Epilepsies with Eyelid Myoclonia by exome sequencing. Epilepsia. doi:10.1111/epi.17859

Torres Aguilar, S. O., & Jolivet, V. (2023). Handwritten Text Recognition for Documentary Medieval Manuscripts. Journal of Data Mining and Digital Humanities. doi:10.46298/jdmdh.10484

DITTE, M., BARBORINI, M., MEDRANO SANDONAS, L., & TKATCHENKO, A. (30 November 2023). Molecules in Environments: Toward Systematic Quantum Embedding of Electrons and Drude Oscillators. Physical Review Letters, 131 (22). doi:10.1103/physrevlett.131.228001

PACHCHEK, S.* , LANDOULSI, Z.* , PAVELKA, L., Schulte, C., Buena-Atienza, E., Gross, C., Hauser, A.-K., Reddy Bobbili, D., Casadei, N., MAY, P.* , KRÜGER, R.* , & NCER-PD Consortium. (23 November 2023). Accurate long-read sequencing identified GBA1 as major risk factor in the Luxembourgish Parkinson's study. NPJ Parkinson's Disease, 9 (1), 156. doi:10.1038/s41531-023-00595-w

HABERA, M., & HALE, J. (2023). The FEniCS Project on AWS Graviton3. (Preprint for distribution at Supercomputing' 23). ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57363.

KHABIBRAKHMANOV, A., FEDOROV, D., & TKATCHENKO, A. (14 November 2023). Universal Pairwise Interatomic van der Waals Potentials Based on Quantum Drude Oscillators. Journal of Chemical Theory and Computation, 19 (21), 7895 - 7907. doi:10.1021/acs.jctc.3c00797

MAHFOUZ, A., Gaias, G., Venkateswara Rao, D. M. K. K., & VOOS, H. (13 November 2023). Autonomous Optimal Absolute Orbit Keeping through Formation Flying Techniques. Aerospace, 10 (11), 959. doi:10.3390/aerospace10110959

ADHAV, P., BESSERON, X., & PETERS, B. (November 2023). Investigation of CFD-DEM-FEM momentum coupling results for AWJC Nozzle using preCICE [Paper presentation]. NAFEMS Multiphysics Conference 2023, Munich, Germany.

BESSERON, X., & GINOLHAC, A. (2023). Result Verification of Multi-physics Simulations and Transcriptomics Analyses on Processor AWS Graviton3.

GAVRIIL, M., PROIETTO, M., PACZIA, N., GINOLHAC, A., HALDER, R., VALCESCHINI, E., SAUTER, T., LINSTER, C., & SINKKONEN, L. (November 2023). 2-Hydroxyglutarate modulates histone methylation at specific loci and alters gene expression via Rph1 inhibition. Life Science Alliance, 7 (2), 202302333. doi:10.26508/lsa.202302333

BADKAS, A. (2023). Topological network measures in biological network analysis: Applications in novel disease-protein identification and drug-response predictions [Doctoral thesis, Université du Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58223

ADHAV, P., BESSERON, X., & PETERS, B. (10 October 2023). 6-way CFD-DEM-FEM partitioned momentum coupling using preCICE [Paper presentation]. PARTICLES 2023 Conference VIII International Conference on Particle-Based Methods, Milan, Italy.

ADHAV, P., BESSERON, X., & PETERS, B. (06 October 2023). 6-way CFD-DEM-FEM partitioned momentum coupling using preCICE [Paper presentation]. International Conference on Data-Integrated Simulation Science (SimTech2023), Stuttgart, Germany.

DELGADO FERNANDEZ, J. (2023). Breaking data silos with Federated Learning [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57042

DESHPANDE, S. (2023). Data Driven Surrogate Frameworks for Computational Mechanics: Bayesian and Geometric Deep Learning Approaches [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57321

WOBLER, E. (2023). Machine Learning for Classification of Satellite Geolocation Data: Addressing the Path Segmentation Challenge in Animal Movement Ecology [Bachelor/master dissertation, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58863

COMBARRO SIMON, M., TALBOT, P., DANOY, G., Musial, J., ALSWAITTI, M., & BOUVRY, P. (2023). Constraint Model for the Satellite Image Mosaic Selection Problem. In R. H. C. Y. Yap (Ed.), 29th International Conference on Principles and Practice of Constraint Programming, CP 2023. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. doi:10.4230/LIPIcs.CP.2023.44

TALBOT, P., HU, T., & NAVET, N. (2023). Constraint Programming with External Worst-Case Traversal Time Analysis. In R. H. C. Y. Yap (Ed.), 29th International Conference on Principles and Practice of Constraint Programming, CP 2023. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. doi:10.4230/LIPIcs.CP.2023.34

Delgado Fernandez, J., Potenciano Menci, S., & Pavić, I. (2023). Towards a peer-to-peer residential short-term load forecasting with federated learning. In Proceedings of the 2023 IEEE Belgrade PowerTech (pp. 6). IEEE. doi:10.1109/PowerTech55446.2023.10202782

Deshpande, S., Sosa, R. I., Bordas, S., & Lengiewicz, J. (August 2023). Novel deep learning approaches for learning scientific simulations [Paper presentation]. The 14th International Conference of Computational Methods (ICCM2023), Ho Chi Minh, Vietnam.

Lee, J., Shin, S. Y., Briand, L., & Nejati, S. (2023). Probabilistic Safe WCET Estimation for Weakly Hard Real-Time Systems at Design Stages. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3617176

Bintener, T., Pires Pacheco, M. I., Philippidou, D., Margue, C., Kishk, A., Del Mistro, G., Di Leo, L., Moscardo Garcia, M., Halder, R., Sinkkonen, L., De Zio, D., Kreis, S., Kulms, D., & Sauter, T. (26 July 2023). Metabolic modelling-based in silico drug target prediction identifies six novel repurposable drugs for melanoma. Cell Death and Disease, 14 (468). doi:10.1038/s41419-023-05955-1

STOLFI ROSSO, D., & DANOY, G. (2023). Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques. In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (pp. 771-774). Association for Computing Machinery, Inc. doi:10.1145/3583133.3590651

MAHFOUZ, A., MENZIO, D., Dalla Vedova, F., & VOOS, H. (2023). GNSS-based baseline vector determination for widely separated cooperative satellites using L1-only receivers. Advances in Space Research. doi:10.1016/j.asr.2023.06.037

Lemarquis, D. C. A., YILMA, B. A., & LEIVA, L. A. (July 2023). What can a swiped word tell us more? Demographic and behavioral correlates from shape-writing text entry. Neural Computing and Applications, 35 (21), 15531 - 15548. doi:10.1007/s00521-023-08559-0

Tkatchenko, A., Goger, S., Khabibrakhmanov, A., Vaccarelli, O., & Fedorov, D. (2023). Optimized Quantum Drude Oscillators for Atomic and Molecular Response Properties. Journal of Physical Chemistry Letters. doi:10.1021/acs.jpclett.3c01221

Deshpande, S., Lengiewicz, J., & Bordas, S. (27 June 2023). Novel Geometric Deep Learning Surrogate Framework for Non-Linear Finite Element Simulations [Poster presentation]. The Platform for Advanced Scientific Computing (PASC) Conference 2023.

Tkatchenko, A., Kabylda, A., Poltavskyi, I., Vassilev-Galindo Valentin, & Chmiela Stefan. (2023). Efficient interatomic descriptors for accurate machine learning force fields of extended molecules. Nature Communications. doi:10.1038/s41467-023-39214-w

BESSERON, X., PETERS, B., & ADHAV, P. (June 2023). Investigation of CFD-DEM momentum coupling results for AWJC Nozzle using preCICE [Paper presentation]. COUPLED PROBLEMS 2023, International Conference of Computational Methods for Coupled Problems in Science and Engineering, Crete, Greece.

Fahmy, H., Pastore, F., Briand, L., & Stifter, T. (2023). Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3569935

Topal, A. O., Chitic, I. R., & Leprevost, F. (11 May 2023). One evolutionary algorithm deceives humans and ten convolutional neural networks trained on ImageNet at image recognition. Applied Soft Computing, 143, 110397. doi:10.1016/j.asoc.2023.110397

Adams, M. P., Sinaga, E. P., & Michels, A. (03 May 2023). On the angular anisotropy of the randomly averaged magnetic neutron scattering cross section of nanoparticles. IUCrJ, 10 (3), 261-269. doi:10.1107/S205225252300180X

JAEGER, T., KEUP, J., Prasianakis, N. I., & LEYER, S. (May 2023). Theoretical and Numerical Constant Mean Curvature Surface and Liquid Entry Pressure Calculations for a Combined Pillar–Pore Structure. Coatings, 13 (5), 865. doi:10.3390/coatings13050865

STOLFI ROSSO, D., & DANOY, G. (May 2023). Optimising Robot Swarm Formations by Using Surrogate Models and Simulations. Applied Sciences, 13 (10), 5989. doi:10.3390/app13105989

Lee, J., Shin, S. Y., Nejati, S., & Briand, L. (2023). Estimating Probabilistic Safe WCET Ranges of Real-Time Systems at Design Stages. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3546941

Chitic, I. R., Topal, A. O., & Leprevost, F. (22 March 2023). ShuffleDetect: Detecting Adversarial Images against Convolutional Neural Networks. Applied Sciences, 13 (6), 4068. doi:10.3390/app13064068

ADHAV, P., BESSERON, X., & PETERS, B. (March 2023). 6-way CFD-DEM-FEM momentum & HMT coupling using preCICE [Paper presentation]. Computational Fluid Dynamics und Wärme- und Stoffübertragung, Frankfurt, Germany.

Bulle, R., Hale, J., Lozinski, A., Bordas, S., & Chouly, F. (01 February 2023). Hierarchical a posteriori error estimation of Bank-Weiser type in the FEniCS Project. Computers and Mathematics with Applications, 131, 103-123. doi:10.1016/j.camwa.2022.11.009

NOVIKOVA, P., BUSI, S. B., Probst, A. J., MAY, P., & WILMES, P. (2023). Functional prediction of proteins from the human gut archaeome. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58071. doi:10.1101/2023.02.01.526569

BUSI, S. B., Peter, H., Brandani, J., Kohler, T. J., Fodelianakis, S., Pramateftaki, P., Bourquin, M., Ezzat, L., Michoud, G., Lane, S., WILMES, P., & Battin, T. J. (2023). Cross-domain interactions induce community stability to benthic biofilms in proglacial streams. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58067. doi:10.1101/2023.01.31.526486

Ansarinia, M. (2023). Towards a Computational Model of General Cognitive Control Using Artificial Intelligence, Experimental Psychology and Cognitive Neuroscience [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/54481

Sinaga, E. P., Adams, M. P., Bersweiler, M., Vivas, L. G., Hasdeo, E. H., Leliart, J., Bender, P., Honecker, D., & Michels, A. (19 January 2023). Micromagnetic simulation of neutron scattering from spherical nanoparticles: Effect of pore-type defects. Physical Review. B, 107, 014416. doi:10.1103/PhysRevB.107.014416

Lee, C. M., Delgado Fernandez, J., Potenciano Menci, S., Rieger, A., & Fridgen, G. (03 January 2023). Federated Learning for Credit Risk Assessment [Paper presentation]. Proceedings of the 56th Hawaii International Conference on System Sciences, Maui, Hawaii, United States.

Badkas, A., de Landtsheer, S., & Sauter, T. (2023). Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis. International Journal of Molecular Sciences, 24 (4). doi:10.3390/ijms24043075

BLANCO, B., BRORSSON, M. H., & ZURAD, M. (2023). Auto-clustering of Financial Reports Based on Formatting Style and Author’s Fingerprint. In I. Koprinska (Ed.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-23633-4_9

Bulle, R., Barrera, O., Bordas, S., Chouly, F., & Hale, J. (2023). An a posteriori error estimator for the spectral fractional power of the Laplacian. Computer Methods in Applied Mechanics and Engineering, 407, 115943. doi:10.1016/j.cma.2023.115943

COMBARRO SIMON, M.* , DANOY, G., MUSIAL, J., Tchernykh, A., ALSWAITTI, M., PECERO SANCHEZ, J. E., & BOUVRY, P. (2023). Satellite Image Mosaic Combination Problem [Paper presentation]. International Conference on Optimization and Learning, Malaga, Spain.

Dyrmishi, S., Ghamizi, S., Simonetto, T. J. A., Le Traon, Y., & Cordy, M. (2023). On the empirical effectiveness of unrealistic adversarial hardening against realistic adversarial attacks. In Conference Proceedings 2023 IEEE Symposium on Security and Privacy (SP) (pp. 1384-1400). IEEE. doi:10.1109/SP46215.2023.00049

Fischbach, T. M., Kieffer, E., & Bouvry, P. (2023). Challenges in Automatic Software Optimisation: the energy efficiency case [Paper presentation]. INTERNATIONAL CONFERENCE ON OPTIMIZATION AND LEARNING (OLA2023).

Hartmann, L. M., Danoy, G., Alswaitti, M., & Bouvry, P. (2023). A split-training approach to JoVe-FL [Paper presentation]. International Conference on Optimization and Learning.

Hartmann, L. M., Danoy, G., Alswaitti, M., & Bouvry, P. (2023). JoVe-FL - A Joint-embedding Vertical Federated Learning Framework [Paper presentation]. International Conference on Agents and Artificial Intelligence. doi:10.5220/0011802600003393

REHOR, M., & HALE, J. (2023). FEniCSx Preconditioning Tools (FEniCSx-pctools). (Modified preprint (v2)). ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58088.

STOLFI ROSSO, D., & DANOY, G. (2023). Evaluating Surrogate Models for Robot Swarm Simulations. In Optimization and Learning - 6th International Conference, OLA 2023, Proceedings (pp. 224-235). Switzerland: Springer Nature Switzerland. doi:10.1007/978-3-031-34020-8_17

THANAPOL, P., LAVANGNANANDA, K., LEPREVOST, F., SCHLEICH, J., & BOUVRY, P. (2023). Scheduling Deep Learning Training in GPU Cluster Using the Model-Similarity-Based Policy. In N. T. Nguyen & B. Hnatkowska (Eds.), Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-981-99-5837-5_30

Udovenko, A., & Vitto, G. (2023). Revisiting Meet-in-the-Middle Cryptanalysis of SIDH/SIKE with Application to the $IKEp182 Challenge. In B. Smith & H. Wu (Eds.), Selected Areas in Cryptography 2022. Springer.

WANG, A., & PANG, J. (2023). Active Learning based Structural Inference. In Proceedings of the 40th International Conference on Machine Learning (ICML'23) (pp. 36224-36245). PMLR.

WANG, A., TONG, T. P., & PANG, J. (2023). Effective and Efficient Structural Inference with Reservoir Computing. In Proceedings of the 40th International Conference on Machine Learning (ICML'23) (pp. 36391-36410). PMLR.

Leprevost, F., Topal, A. O., Avdusinovic, E., & Chitic, I. R. (2022). Strategy and Feasibility Study for the Construction of High Resolution Images Adversarial Against Convolutional Neural Networks. In ACIIDS 2022: Intelligent Information and Database Systems (pp. 285-298). Springer. doi:10.1007/978-3-031-21743-2_23

Pires Pacheco, M. I., Ji, J., Prohaska, T., Moscardo Garcia, M., & Sauter, T. (2022). scFASTCORMICS: A Contextualization Algorithm to Reconstruct Metabolic Multi-Cell Population Models from Single-Cell RNAseq Data. Metabolites.

Delgado Fernandez, J., Potenciano Menci, S., Lee, C. M., Rieger, A., & Fridgen, G. (15 November 2022). Privacy-preserving federated learning for residential short-term load forecasting. Applied Energy, 326. doi:10.1016/j.apenergy.2022.119915

JAEGER, T., Mokos, A., Prasianakis, N. I., & LEYER, S. (08 November 2022). Pore-Level Multiphase Simulations of Realistic Distillation Membranes for Water Desalination. Membranes, 12 (11), 1112. doi:10.3390/membranes12111112

Didier, J., de Landtsheer, S., Pires Pacheco, M. I., Kishk, A., Schneider, J., Demuth, I., & Sauter, T. (26 October 2022). Improving Machine Learning-based Prediction of Frailty in Elderly People with Digital Wearables : Data from the Berlin Aging Study II (BASE-II) [Poster presentation]. European Digital Medicine Conference Luxembourg 2022, Belval, Luxembourg.

Leprevost, F., Topal, A. O., Avdusinovic, E., & Chitic, I. R. (22 October 2022). A strategy creating high-resolution adversarial images against convolutional neural networks and a feasibility study on 10 CNNs. Journal of Information and Telecommunication, 7 (1), 89-119. doi:10.1080/24751839.2022.2132586

Delogu, F., Kunath, B., Queirós, P. M., Halder, R., Lebrun, L., Pope, P. B., May, P., Widder, S., Muller, E. E. L., & Wilmes, P. (2022). Forecasting of a complex microbial community using meta-omics. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/52862. doi:10.1101/2022.10.19.512887

Didier, J., de Landtsheer, S., Pires Pacheco, M. I., Kishk, A., Schneider, J., Demuth, I., & Sauter, T. (09 October 2022). Machine learning-based prediction of frailty in elderly people : Data from the Berlin Aging Study II (BASE-II) [Poster presentation]. 21st International Conference on Systems Biology, Berlin, Germany.

Dalle, M.-A. (2022). Experimental and Theoretical Investigations for the improvement of AGMD Energy Efficiency [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/53951

Nurunnabi, A. A. M., Teferle, F. N., Laefer, D., Remondino, F., Karas, I. R., & Li, J. (2022). kCV-B: Bootstrap with Cross-Validation for Deep Learning Model Development, Assessment and Selection. In kCV-B: Bootstrap with Cross-Validation for Deep Learning Model Development, Assessment and Selection. ISPRS. doi:10.5194/isprs-archives-XLVIII-4-W3-2022-111-2022

McAdams, Z. L., BUSI, S. B., Gustafson, K. L., Bivens, N., Franklin, C. L., WILMES, P., & Ericsson, A. C. (2022). Multi-omics analysis of mouse fecal microbiome reveals supplier-dependent functional differences and novel metagenome-assembled genomes. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58063. doi:10.1101/2022.09.12.507288

de la Torre, J. C., Aragó-Jurado, J. M., Jareño, J., Varrette, S., & Dorronsoro, B. (2022). Obfuscating LLVM Intermediate Representation Source Code with NSGA-II. In 15th Intl. Conf. on Computational Intelligence in Security for Information Systems (CISIS'22). Salamanca, Spain: Springer.

Berryman, J., Taghavi, A., Mazur, F., & Tkatchenko, A. (09 August 2022). Quantum machine learning corrects classical forcefields: Stretching DNA base pairs in explicit solvent. Journal of Chemical Physics, 157 (6). doi:10.1063/5.0094727

Lee, J., Shin, S. Y., Nejati, S., & Briand, L. (06 August 2022). Optimal Priority Assignment for Real-Time Systems: A Coevolution-Based Approach. Empirical Software Engineering, 27. doi:10.1007/s10664-022-10170-1

Delgado Fernandez, J., Barbereau, T. J., & Papageorgiou, O. (2022). Agent-based Model of Initial Token Allocations: Evaluating Wealth Concentration in Fair Launches. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/51934. doi:10.48550/arXiv.2208.10271

Mainassara Chekaraou, A. W., Besseron, X., Rousset, A., Qi, F., & Peters, B. (2022). Local Verlet buffer approach for broad-phase interaction detection in Discrete Element Method. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/42706. doi:10.48550/arXiv.2208.13770

Peters, B., Besseron, X., & Estupinan Donoso, A. A. (July 2022). Analysis of Coke Particle Gasification in the Raceway of a Blast Furnace. IFAC-PapersOnLine, 55 (20), 277-282. doi:10.1016/j.ifacol.2022.09.108

Varrette, S., Cartiaux, H., Peter, S., Kieffer, E., Valette, T., & Olloh, A. (2022). Management of an Academic HPC Research Computing Facility: The ULHPC Experience 2.0. In 6th High Performance Computing and Cluster Technologies Conference (HPCCT 2022). Fuzhou, China: Association for Computing Machinery (ACM). doi:10.1145/3560442.3560445

Varrette, S., Cartiaux, H., Valette, T., & Olloh, A. (2022). Aggregating and Consolidating two High Performant Network Topologies: The ULHPC Experience. In ACM Practice and Experience in Advanced Research Computing (PEARC'22). Boston, United States: Association for Computing Machinery (ACM). doi:10.1145/3491418.3535159

Varrette, S., Kieffer, E., & Pinel, F. (2022). Optimizing the Resource and Job Management System of an Academic HPC and Research Computing Facility. In 21st IEEE Intl. Symp. on Parallel and Distributed Computing (ISPDC'22). Basel, Switzerland: IEEE Computer Society.

Adhav, P., Besseron, X., Estupinan Donoso, A. A., Peters, B., & Rousset, A. (09 June 2022). HEAT AND MASS TRANSFER BETWEEN XDEM & OPENFOAM USING PRECICE COUPLING LIBRARY [Paper presentation]. 8th European Congress on Computational Methods in Applied Sciences and Engineering, OVA Spektrum, Lillestrøm, Norway.

Bourquin, M., BUSI, S. B., Fodelianakis, S., Peter, H., Washburne, A., Kohler, T. J., Ezzat, L., Michoud, G., WILMES, P., & Battin, T. J. (02 June 2022). The microbiome of cryospheric ecosystems. Nature Communications, 13 (1), 3087. doi:10.1038/s41467-022-30816-4

Kohler, T. J., Fodelianakis, S., Michoud, G., Ezzat, L., Bourquin, M., Peter, H., BUSI, S. B., Pramateftaki, P., Deluigi, N., Styllas, M., Tolosano, M., de Staercke, V., Schön, M., Brandani, J., Marasco, R., Daffonchio, D., WILMES, P., & Battin, T. J. (June 2022). Glacier shrinkage will accelerate downstream decomposition of organic matter and alters microbiome structure and function. Global Change Biology, 28 (12), 3846 - 3859. doi:10.1111/gcb.16169

Talbot, P., Pinel, F., & Bouvry, P. (June 2022). A Variant of Concurrent Constraint Programming on GPU. Proceedings of the AAAI Conference on Artificial Intelligence, 36 (4), 3830-3839. doi:10.1609/aaai.v36i4.20298

Ternes, D., Tsenkova, M., Pozdeev, V., Meyers, M., Koncina, E., Atatri, S., Schmitz, M., Karta, J., Schmoetten, M., Heinken, A., Rodriguez, F., Delbrouck, C., Gaigneaux, A., Ginolhac, A., Dan Nguyen, T. T., Grandmougin, L., Frachet-Bour, A., Martin-Gallausiaux, C., Pires Pacheco, M. I., ... Letellier, E. (2022). The gut microbial metabolite formate exacerbates colorectal cancer progression. Nature Metabolism. doi:10.1038/s42255-022-00558-0

Queirós, P., HICKL, O., MARTINEZ ARBAS, S., WILMES, P., & MAY, P. (2022). UniFuncNet: a flexible network annotation framework. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58072. doi:10.1101/2022.03.15.484380

Del Mistro, G., Riemann, S., Schindler, S., Beissert, S., Kontermann, R. E., Ginolhac, A., Halder, R., Presta, L., Sinkkonen, L., Sauter, T., & Kulms, D. (2022). Focal adhesion kinase plays a dual role in TRAIL resistance and metastatic outgrowth of malignant melanoma. Cell Death and Disease. doi:10.1038/s41419-022-04502-8

Barborini, M., Calandra, M., Mauri, F., Wirtz, L., & Cudazzo, P. L. (2022). Excitonic-insulator instability and Peierls distortion in one-dimensional semimetals. Physical Review. B, 105 (7), 075122. doi:10.1103/PhysRevB.105.075122

Bisdorff, R. (2022). Tutorials for using the Digraph3 Python software collection.

Charry Martinez, J. A., Moncada, F., Barborini, M., Pedraza González, L. M., Varella, M. T., Tkatchenko, A., & Reyes, A. (2022). The three-center two-positron bond. Chemical Science. doi:10.1039/D2SC04630J

Chen, L., Ha, V. N., Lagunas, E., Wu, L., Chatzinotas, S., & Ottersten, B. (2022). The Next Generation of Beam Hopping Satellite Systems: Dynamic Beam Illumination with Selective Precoding. IEEE Transactions on Wireless Communications. doi:10.1109/TWC.2022.3213418

Chitic, R., Topal, A. O., & Leprevost, F. (2022). Empirical Perturbation Analysis of Two Adversarial Attacks: Black Box versus White Box. Applied Sciences, 12 (14), 7339. doi:10.3390/app12147339

Dalle Lucca Tosi, M., Ellampallil Venugopal, V., & Theobald, M. (2022). CONVERGENCE TIME ANALYSIS OF ASYNCHRONOUS DISTRIBUTED ARTIFICIAL NEURAL NETWORKS [Poster presentation]. 5th Joint International Conference on Data Science Management of Data (9th ACM IKDD CODS and 27th COMAD).

Darlik, F., Adhav, P., & Peters, B. (2022). Prediction of the biomass particles through the physics informed neural network. ECCOMAS Congress 2022 - 8th European Congress on Computational Methods in Applied Sciences and Engineering. doi:10.23967/eccomas.2022.223

Muntini, M. S., Suprayoga, E., Wella, S. A., Fatimah, I., Yuwana, L., Seetawan, T., Cahaya, A. B., Nugraha, A. R. T., & Hasdeo, E. H. (2022). Spin-tunable thermoelectric performance in monolayer chromium pnictides. Physical Review Materials, 6, 064010. doi:10.1103/PhysRevMaterials.6.064010

Varrette, S. (November 2021). Overview and Challenges of the UL HPC Facility at the EuroHPC Horizon [Paper presentation]. 11th High Performance Computing School, University of Luxembourg, Belval, Luxembourg.

Varrette, S. (November 2021). The new AION cluster: Overview, Technical specifications and Capabilities [Paper presentation]. Official Inauguration of Aion, the new supercomputer at the University of Luxembourg, Belval, Luxembourg.

Pleiter, D., Varrette, S., Krishnasamy, E., Özdemir, E., & Pilc, M. (2021). Security in an evolving European HPC Ecosystem. PRACE aisbl. doi:10.5281/zenodo.5638456

Varrette, S., Kieffer, E., Pinel, F., Krishnasamy, E., Peter, S., Cartiaux, H., & Besseron, X. (2021). RESIF 3.0: Toward a Flexible & Automated Management of User Software Environment on HPC facility. In ACM Practice and Experience in Advanced Research Computing (PEARC'21) (PEARC'21). Virtual Event, Unknown/unspecified: Association for Computing Machinery (ACM). doi:10.1145/3437359.3465600

Varrette, S. (24 June 2021). UL HPC Facility Workload Analysis [Paper presentation]. Energumen Days, Lyon, France.

Adhav, P., Besseron, X., ROUSSET, A., & Peters, B. (16 June 2021). AWJC Nozzle simulation by 6-way coupling of DEM+CFD+FEM using preCICE coupling library [Paper presentation]. 9th edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2021).

Bispo, J., Barbosa, J. G., Filipe Silva, P., Morales, C., Myllykoski, M., Ojeda-May, P., Bialczak, M., Uchronski, M., Wlodarczyk, A., Wauligmann, P., Krishnasamy, E., Varrette, S., & Lührs, S. (2021). PRACE Best Practice Guide 2021: Modern Accelerators. Bruxelles, Belgium: PRACE aisbl.

Paseri, L., Varrette, S., & Bouvry, P. (2021). Protection of Personal Data in High Performance Computing Platform for Scientific Research Purposes. In Proc. of the EU Annual Privacy Forum (APF) 2021 (pp. 123-142). Springer International Publishing. doi:10.1007/978-3-030-76663-4_7

Fahmy, H., Pastore, F., Bagherzadeh, M., & Briand, L. (May 2021). Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning. IEEE Transactions on Reliability, 70 (4), 1641-1657. doi:10.1109/TR.2021.3074750

Menghi, C., Vigano, E., Bianculli, D., & Briand, L. (2021). Trace-Checking CPS Properties: Bridging the Cyber-Physical Gap. In Proceedings of the 43rd International Conference on Software Engineering (ICSE 2021) (pp. 847-859). doi:10.1109/ICSE43902.2021.00082

Varrette, S. (2021). Uni.lu HPC Annual Report 2020. University of Luxembourg.

Rehor, M., & Hale, J. (22 March 2021). Dynamic composition of solvers for coupled problems in DOLFINx [Paper presentation]. FEniCS 2021.

Adhav, P., Besseron, X., Rousset, A., & Peters, B. (23 February 2021). Evaluation of erosion inside AWJC Nozzle by 6-way coupling of DEM+CFD+FEM using preCICE [Paper presentation]. preCICE Workshop 2021, Germany.

Badkas, A., Nguyen, T.-P., Caberlotto, L., Schneider, J., de Landtsheer, S., & Sauter, T. (2021). Degree Adjusted Large-Scale Network Analysis Reveals Novel Putative Metabolic Disease Genes. Biology, 10 (2). doi:10.3390/biology10020107

Kieffer, E., Pinel, F., Meyer, T., Gloukoviezoff, G., Lucius, H., & Bouvry, P. (2021). Evolutionary Learning of Private Equity Recommitment Strategies. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). doi:10.1109/SSCI50451.2021.9660088

Kieffer, E., Pinel, F., Meyer, T., Gloukoviezoff, G., Lucius, H., & Bouvry, P. (2021). Proximal Policy Optimisation for a Private Equity Recommitment System. In Springer CCIS series.

Kishk, A., Pires Pacheco, M. I., & Sauter, T. (2021). DCcov: Repositioning of drugs and drug combinations for SARS-CoV-2 infected lung through constraint-based modeling. iScience, 24 (11), 103331. doi:10.1016/j.isci.2021.103331

Kratochvil, M.* , Heirendt, L.* , Wilken, S. E., Pusa, T., Arreckx, S., Noronha, A., van Aalst, M., Satagopam, V., Ebenhöh, O., Schneider, R., Trefois, C., & Gu, W. (2021). COBREXA.jl: constraint-based reconstruction and exascale analysis. Bioinformatics. doi:10.1093/bioinformatics/btab782

Fodelianakis, S., Washburne, A. D., Bourquin, M., Pramateftaki, P., Kohler, T. J., Styllas, M., Tolosano, M., De Staercke, V., Schön, M., BUSI, S. B., Brandani, J., WILMES, P., Peter, H., & Battin, T. J. (2020). Homogeneous selection promotes microdiversity in the glacier-fed stream microbiome. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58066. doi:10.1101/2020.12.03.409391

Krishnasamy, E., Varrette, S., & Mucciardi, M. (2020). Edge Computing: An Overview of Framework and Applications. Bruxelles, Belgium: PRACE aisbl.

Varrette, S. (December 2020). ULHPC School 2020 Keynote: Overview and Challenges of the UL HPC Facility at the EuroHPC Horizon [Paper presentation]. 10th High Performance Computing School, University of Luxembourg, Belval Campus, Luxembourg.

Kratochvil, M.* , Hunewald, O.* , Heirendt, L., Verissimo, V., Vondrášek, J., Satagopam, V., Schneider, R., Trefois, C., & Ollert, M. (18 November 2020). GigaSOM.jl: High-performance clustering and visualization of huge cytometry datasets. GigaScience, 9 (11). doi:10.1093/gigascience/giaa127

Busi, S. B.* , Pramateftaki, P.* , Brandani, J., Fodelianakis, S., Peter, H., Halder, R., Wilmes, P., & Battin, T. (2020). Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams. PeerJ. doi:10.7717/peerj.9973

Saastad, O. W., Kapanova, K., Markov, S., Morales, C., Shamakina, A., Johnson, N., Krishnasamy, E., Varrette, S., & Shoukourian, H. (2020). PRACE Best Practice Guide 2020: Modern Processors. Bruxelles, Belgium: PRACE aisbl.

Boufaied, C., Menghi, C., Bianculli, D., Briand, L., & Isasi Parache, Y. (2020). Trace-Checking Signal-based Temporal Properties: A Model-Driven Approach. In Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE ’20). doi:10.5381/JOT.2019.18.2.A15

Kirchmeyer, M., Servais, F., Ginolhac, A., Nazarov, P. V., Margue, C., Philippidou, D., Nicot, N., Behrmann, I., Haan, C., & Kreis, S. (2020). Systematic transcriptional profiling of responses to STAT1- and STAT3- activating cytokines in different cancer types. Journal of Molecular Biology. doi:10.1016/j.jmb.2020.09.011

Shahraz, A., Wißfeld, J., Ginolhac, A., Matthews, M., Sinkkonen, L., & Neumann, H. (2020). Phagocytosis‐related NADPH oxidase 2 subunit gp91phox contributes to neurodegeneration after repeated systemic challenge with lipopolysaccharides. Glia. doi:10.1002/glia.23890

Hartl, D.* , May, P.* , Gu, W.* , Mayhaus, M., Pichler, S., Spaniol, C., Glaab, E., Bobbili, D. R., Antony, P., Köglsberger, S., Kurz, A., Grimmer, T., Morgan, K., Vardarajan, B. N., Reitz, C., Hardy, J., Bras, J., Guerreiro, R., AESG, ... Riemenschneider, M. (09 July 2020). A rare loss-of function variant of ADAM17 is associated with late-onset familial Alzheimer disease. Molecular Psychiatry, 25 (3), 629-639. doi:10.1038/s41380-018-0091-8

Hakami Zanjani, A. A., Reynolds, N., Zhang, A., Schilling, T., Mezzenga, R., & Berryman, J. (19 May 2020). Amyloid Evolution: Antiparallel Replaced by Parallel. Biophysical Journal, 118, 2526–2536. doi:10.1016/j.bpj.2020.03.023

Mahon, S., Varrette, S., Plugaru, V., Pinel, F., & Bouvry, P. (2020). Performance Analysis of Distributed and Scalable Deep Learning. In 20th IEEE/ACM Intl. Symp. on Cluster, Cloud and Internet Computing (CCGrid'20) (pp. 760--766). Melbourne, Australia: IEEE/ACM.

Chatron, N., Becker, F., Morsy, H., Schmidts, M., Hardies, K., Tuysuz, B., Roselli, S., Najafi, M., Alkaya, D. U., Ashrafzadeh, F., Nabil, A., Omar, T., Maroofian, R., Karimiani, E. G., Hussein, H., Kok, F., Ramos, L., Gunes, N., Bilguvar, K., ... Tajsharghi, H. (2020). Bi-allelic GAD1 variants cause a neonatal onset syndromic developmental and epileptic encephalopathy. Brain: a Journal of Neurology. doi:10.1093/brain/awaa085

Maldonado, A., Basdogan, Y., Berryman, J., Rempe, S., & Keith, J. (01 April 2020). First-principles modeling of chemistry in mixed solvents: Where to go from here? Journal of Chemical Physics, 152. doi:10.1063/1.5143207

Lal, D., May, P., Perez-Palma, E., Samocha, K. E., Kosmicki, J. A., Robinson, E. B., Møller, R. S., Krause, R., Nürnberg, P., Weckhuysen, S., De Jonghe, P., Guerrini, R., Niestroj, L. M., Du, J., Marini, C., EuroEPINOMICS-RES Consortium, Ware, J. S., Kurki, M., Gormley, P., ... Daly, M. J. (17 March 2020). Gene family information facilitates variant interpretation and identification of disease-associated genes in neurodevelopmental disorders. Genome Medicine, 12 (28). doi:10.1186/s13073-020-00725-6

Bobbili, D. R., Banda, P., Krüger, R., & May, P. (2020). Excess of singleton loss-of-function variants in Parkinson's disease contributes to genetic risk. Journal of Medical Genetics. doi:10.1136/jmedgenet-2019-106316

Jafarnejad, S. (2020). Machine Learning-based Methods for Driver Identification and Behavior Assessment: Applications for CAN and Floating Car Data [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/42721

Adamcik, J., Ruggeri, F. S., Berryman, J., Zhang, A., Knowles, T. P. J., & Mezzenga, R. (2020). Evolution of Conformation, Nanomechanics, and Infrared Nanospectroscopy of Single Amyloid Fibrils Converting into Microcrystals. Advanced Science, 2002182. doi:10.1002/advs.202002182

Beullens, W., Beyne, T., Udovenko, A., & Vitto, G. (2020). Cryptanalysis of the Legendre PRF and generalizations. IACR Transactions on Symmetric Cryptology, 2020 (1). doi:10.13154/tosc.v2020.i1.313-330

Gaaloul, K., Menghi, C., Nejati, S., Briand, L., & Wolfe, D. (2020). Mining Assumptions for Software Components using Machine Learning. In Proceedings of the The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). doi:10.1145/3368089.3409737

Klaus, C., Hansen, J. N., Ginolhac, A., GERARD, D., Gnanapragassam, V. S., Horstkorte, R., Rossdam, C., Buettner, F. F. R., Sauter, T., Sinkkonen, L., Neumann, H., & Linnartz-Gerlach, B. (2020). Reduced sialylation triggers homeostatic synapse and neuronal loss in middle-aged mice. Neurobiology of Aging. doi:10.1016/j.neurobiolaging.2020.01.008

Menghi, C., Nejati, S., Briand, L., & Yago, I. P. (2020). Approximation-Refinement Testing of Compute-Intensive Cyber-Physical Models: An Approach Based on System Identification. In Proceedings of the 42nd International Conference on Software Engineering.

Olivares Pulido, G., Teferle, F. N., & Hunegnaw, A. (2020). Markov Chain Monte Carlo and the Application to Geodetic Time Series Analysis. In J.-P. Montillet & M. Bos, Geodetic Time Series Analysis in Earth Sciences (1st ed, pp. 53-138). Springer. doi:10.1007/978-3-030-21718-1_3

Udovenko, A. (2020). Optimized Collision Search for STARK-Friendly Hash Challenge Candidates. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/42379.

Bogusz, J., Hunegnaw, A., Teferle, F. N., & Klos, A. (13 December 2019). Using the Vertical Land Movement estimates from the IGS TIGA combined solution to derive Global Mean Sea Level changes [Paper presentation]. AGU Fall Meeting 2019, San Francisco, United States.

Teferle, F. N., Hunegnaw, A., Hibbert, A., Williams, S., Woodworth, P., Dalziel, I., Smalley, R. J., & Lawver, L. (13 December 2019). Consolidating Observation of Land and Sea Level Changes around South Georgia Island [Poster presentation]. AGU Fall Meeting 2019, San Francisco, United States.

Varrette, S., Pinel, F., Kieffer, E., Danoy, G., & Bouvry, P. (2019). Automatic Software Tuning of Parallel Programs for Energy-Aware Executions. In Proc. of 13th Intl. Conf. on Parallel Processing and Applied Mathematics (PPAM 2019). Bialystok, Poland: Springer Verlag.

Michelsen, A. N. B., Valiente, M., Zinner, N. T., & Negretti, A. (27 November 2019). Ion-induced interactions in a Tomonaga-Luttinger liquid. Physical Review. B, 100 (20). doi:10.1103/PhysRevB.100.205427

Hakami Zanjani, A. A., Reynolds, N., Zhang, A., Schilling, T., Mezzenga, R., & Berryman, J. (2019). Kinetic Control of Parallel versus Antiparallel Amyloid Aggregation via Shape of the Growing Aggregate. Nature Scientific Reports. doi:10.1038/s41598-019-52238-x

Gallego-Martinez, A., Requena, T., Roman-Naranjo, P., May, P., & Lopez-Escamez, J. A. (2019). Enrichment of damaging missense variants in genes related with axonal guidance signalling in sporadic Meniere’s disease. Journal of Medical Genetics. doi:10.1136/jmedgenet-2019-106159

Menghi, C., Nejati, S., Gaaloul, K., & Briand, L. (2019). Generating Automated and Online Test Oracles for Simulink Models with Continuous and Uncertain Behaviors. In Proceedings of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’19) (pp. 27-38). ACM. doi:10.1145/3338906.3338920

Besseron, X., Pozzetti, G., Rousset, A., Mainassara Chekaraou, A. W., & Peters, B. (21 June 2019). High Performance Parallel Coupling of OpenFOAM+XDEM [Paper presentation]. UL HPC School - June 2019 - User Session, Luxembourg, Luxembourg.

Besseron, X. (20 June 2019). Short Introduction to the Roofline Model [Paper presentation]. UL HPC School - June 2019, Luxembourg, Luxembourg.

Bordas, S., & Natarajan, S. (03 May 2019). Displacement based polytopal elements a strain smoothing and scaled boundary approach [Paper presentation]. POEMS2019, Marseille, France.

Emeras, J., Varrette, S., Plugaru, V., & Bouvry, P. (April 2019). Amazon Elastic Compute Cloud (EC2) versus In-House HPC Platform: A Cost Analysis. IEEE Transactions on Cloud Computing, 7 (2), 456-468. doi:10.1109/TCC.2016.2628371

Siekierska, A., Stamberger, H., Deconinck, T., Oprescu, S. N., Partoens, M. L., Sourbron, J., Zhang, Y., Adriaenssens, E., Mullen, P., Wiencek, P., Hardies, K., Lee, J.-S., Giong, H.-K., Distelmaier, F., Elpeleg, O., Helbig, K. L., Hersh, J., Isikay, S., Jordan, E., ... De Jonghe, P. (12 February 2019). Biallelic VARS variants cause developmental encephalopathy with microcephaly that is recapitulated in vars knockout zebrafish. Nature Communications, 10 (1), 708. doi:10.1038/s41467-018-07953-w

Bernard, N., & Leprévost, F. (2019). How Evolutionary Algorithms and Information Hiding deceive machines and humans for image recognition: A research program. In T. Theeramunkong, P. Bouvry (Ed.), ... P. Srichaikul (Ed.), Proceedings of the OLA'2019 International Conference on Optimization and Learning (Bangkok, Thailand, Jan 29-31, 2019) (pp. 12-15). Springer.

Cappellini, E., Welker, F., Pandolfi, L., Ramos-Madrigal, J., Samodova, D., Ruther, P. L., Fotakis, A. K., Lyon, D., Moreno-Mayar, J. V., Bukhsianidze, M., Rakownikow Jersie-Christensen, R., Mackie, M., Ginolhac, A., Ferring, R., Tappen, M., Palkopoulou, E., Dickinson, M. R., Stafford, T. W. J., Chan, Y. L., ... Willerslev, E. (2019). Early Pleistocene enamel proteome from Dmanisi resolves Stephanorhinus phylogeny. Nature. doi:10.1038/s41586-019-1555-y

Nejati, S., Gaaloul, K., Menghi, C., Briand, L., Foster, S., & Wolfe, D. (2019). Evaluating Model Testing and Model Checking for Finding Requirements Violations in Simulink Models. In Proceedings of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). doi:10.1145/3338906.3340444

Gerard, D., Schmidt, F., Ginolhac, A., Schmitz, M., Halder, R., Ebert, P., Schulz, M., Sauter, T., & Sinkkonen, L. (2018). Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency. Nucleic Acids Research. doi:10.1093/nar/gky1240

Linnartz-Gerlach, B., Bodea, L.-G., Klaus, C., Ginolhac, A., Halder, R., Sinkkonen, L., Walter, J., Colonna, M., & Neumann, H. (2018). TREM2 triggers microglial density and age‐related neuronal loss. Glia. doi:10.1002/glia.23563

Hoja, J. (2018). First-Principles Modeling of Molecular Crystals: Crystal Structure Prediction and Vibrational Properties [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/37747

Gutbier, S., May, P., Berthelot, S., Krishna, A., Trefzer, T., Behbehani, M., Effremova, L., Delp, J., Gstraunthaler, G., Waldmann, T., & Leist, M. (2018). Major changes of cell function and toxicant sensitivity in cultured cells undergoing mild, quasi-natural genetic drift. Archives of Toxicology. doi:10.1007/s00204-018-2326-5

Mainassara Chekaraou, A. W., Rousset, A., Besseron, X., Varrette, S., & Peters, B. (2018). Hybrid MPI+OpenMP Implementation of eXtended Discrete Element Method. In Proc. of the 9th Workshop on Applications for Multi-Core Architectures (WAMCA'18), part of 30th Intl. Symp. on Computer Architecture and High Performance Computing (SBAC-PAD 2018). Lyon, France, Unknown/unspecified: IEEE Computer Society.

May, P., Girard, S., Harrer, M., Bobbili, D. R., Schubert, J., Wolking, S., Becker, F., Lachance-Touchette, P., Meloche, C., Gravel, M., Niturad, C. E., Knaus, J., De Kovel, C., Toliat, M., Polvi, A., Iacomino, M., Guerrero-López, R., Baulac, S., Marini, C., ... Lerche, H. (18 August 2018). Rare coding variants in genes encoding GABAA receptors in genetic generalised epilepsies: an exome-based case-control study. The Lancet Neurology, 17 (8), 699-708. doi:10.1016/S1474-4422(18)30215-1

Ibrahim, A. A. Z. A., Wasim, M. U., Varrette, S., & Bouvry, P. (August 2018). PRESENCE: Monitoring and Modelling the Performance Metrics of Mobile Cloud SaaS Web Services. Mobile Information Systems, 2018 (1351386). doi:10.1155/2018/1351386

Pozzetti, G., Besseron, X., Rousset, A., & Peters, B. (August 2018). Parallel Coupling of CFD-DEM simulations [Paper presentation]. 6th MVAPICH User Group (MUG'18) Meeting, Columbus, OH, United States.

Malabirade, A., Habier, J., Heintz-Buschart, A., May, P., Godet, J., Halder, R., Etheridge, A., Galas, D., Wilmes, P., & Fritz, J. (30 July 2018). The RNA Complement of Outer Membrane Vesicles From Salmonella enterica Serovar Typhimurium Under Distinct Culture Conditions. Frontiers in Microbiology, 9, 2015. doi:10.3389/fmicb.2018.02015

Pozzetti, G., Besseron, X., Rousset, A., Mainassara Chekaraou, A. W., & Peters, B. (2018). On the performance of an overlapping-domain parallelization strategy for Eulerian-Lagrangian Multiphysics software. In AIP Conference Proceedings of 15th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM). New York, United States - New York: American Institute of Physics. doi:10.1063/1.5043895

Camino, R. D., Hammerschmidt, C., & State, R. (July 2018). Generating Multi-Categorical Samples with Generative Adversarial Networks [Paper presentation]. ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models, Stockholm, Sweden.

Ibrahim, A. A. Z. A., Wasim, U., Varrette, S., & Bouvry, P. (2018). PRESENCE: Performance Metrics Models for Cloud SaaS Web Services. In Proc. of the 11th IEEE Intl. Conf. on Cloud Computing (CLOUD 2018). San Francisco, USA, Unknown/unspecified: IEEE Computer Society.

Abraha, K. E., Teferle, F. N., Hunegnaw, A., & Dach, R. (23 June 2018). Effect of unmodelled tidal displacements in GPS and GLONASS coordinate time series. Geophysical Journal International, 214 (3), 2195-2206. doi:10.1093/gji/ggy254

Bisdorff, R. (13 June 2018). UL HPC users'session: Mastering big data [Paper presentation]. UL HPC School 2018, Belval, Luxembourg.

Ibrahim, A. A. Z. A. (2018). PRESEnCE: A Framework for Monitoring, Modelling and Evaluating the Performance of Cloud SaaS Web Services. In 48th Annual IEEE/IFIP Intl. Conf. on Dependable Systems and Networks Workshops (DNS'18) (pp. 83-86). Luxembourg, Luxembourg: IEEE Computer Society. doi:10.1109/DSN-W.2018.00041

Ibrahim, A. A. Z. A., Varrette, S., & Bouvry, P. (2018). On Verifying and Assuring the Cloud SLA by Evaluating the Performance of SaaS Web Services Across Multi-cloud Providers. In 48th Annual IEEE/IFIP Intl. Conf. on Dependable Systems and Networks Workshops (DNS'18) (pp. 69-70). Luxembourg, Luxembourg: IEEE Computer Society. doi:10.1109/DSN-W.2018.00034

Lopez Becerra, J. M., Ryan, P., Sala, P., & Skrobot, M. (June 2018). An Offline Dictionary Attack Against zkPAKE Protocol [Poster presentation]. WiSec2018, Stockholm, Sweden. doi:10.1145/1235

Torun, E., Miranda, H. P. C., Molina-Sánchez, A., & Wirtz, L. (June 2018). Interlayer and intralayer excitons in MoS2/WS2 and MoSe2/WSe2 heterobilayers. Physical Review. B, Condensed Matter, 97, 245427. doi:10.1103/PhysRevB.97.245427

Varrette, S., Plugaru, V., Diehl, S., Parisot, C., & Cartiaux, H. (June 2018). Overview and Challenges of the UL HPC Facility at the EuroHPC Horizon [Paper presentation]. 7th High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg.

Heintz-Buschart, A., Yusuf, D., Kaysen, A., Etheridge, A., Fritz, J., May, P., de Beaufort, C., Upadhyaya, B. B., Ghosal, A., Galas, D. J., & Wilmes, P. (14 May 2018). Small RNA profiling of low biomass samples: identification and removal of contaminants. BMC Biology, 16 (52). doi:10.1186/s12915-018-0522-7

Abraha, K. E. (2018). MULTI-GNSS ERROR CHARACTERISTICS AND BENEFITS TO LONG-TERM MONITORING APPLICATIONS IN GEOSCIENCES [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/37191

Dentler, J. E., Rosalie, M., Danoy, G., Bouvry, P., Kannan, S., Olivares Mendez, M. A., & Voos, H. (2018). Collision Avoidance Effects on the Mobility of a UAV Swarm Using Chaotic Ant Colony with Model Predictive Control. Journal of Intelligent and Robotic Systems, 1-17. doi:10.1007/s10846-018-0822-8

Teferle, F. N., Hunegnaw, A., Abraha, K. E., Woodworth, P., Williams, S., Hibbert, A., Smalley, R., Dalziel, I., & Lawver, L. (09 April 2018). Vertical Land Movements and Sea Level Changes around South Georgia Island [Poster presentation]. European Geosciences Union General Assembly 2018, Vienna, Austria.

Bouvry, P., Varrette, S., Plugaru, V., Peter, S., Cartiaux, H., & Parisot, C. (April 2018). Large-scale research data management: Road to GDPR compliance [Paper presentation]. Luxembourg Data Conversations, Luxembourg, Luxembourg.

May, P.* , Pichler, S.* , Hartl, D., Bobbili, D. R., Mayhaus, M., Spaniol, C., Kurz, A., Balling, R., Schneider, J., & Riemenschneider, M. (01 April 2018). Rare ABCA7 variants in 2 German families with Alzheimer disease. Neurology. Genetics, 4 (2). doi:10.1212/NXG.0000000000000224

Jung, P., Zhang, Z., Paczia, N., Jäger, C., Ignac, T., May, P., & Linster, C. (12 March 2018). Natural variation of chronological aging in the Saccharomyces cerevisiae species reveals diet-dependent mechanisms of life span control. npj Aging and Mechanisms of Disease, 4 (3). doi:10.1038/s41514-018-0022-6

Klos, A., Hunegnaw, A., Teferle, F. N., Abraha, K. E., Ahmed, F., & Bogusz, J. (2018). Statistical significance of trends in Zenith Wet Delay from re-processed GPS solutions. GPS Solutions. doi:10.1007/s10291-018-0717-y

Nyffeler, J., Chovancova, P., Dolde, X., Holzer, A.-K., Purvanov, V., Kindinger, I., Kerins, A., Higton, D., Silvester, S., van Vugt-Lussenburg, B. M. A., Glaab, E., van der Burg, B., Maclennan, R., Legler, D. F., & Leist, M. (March 2018). A structure-activity relationship linking non-planar PCBs to functional deficits of neural crest cells: new roles for connexins. Archives of Toxicology, 92 (3), 1225–1247. doi:10.1007/s00204-017-2125-4

Varrette, S. (March 2018). Next Generation Computing and Storage at Scale: Overview and Implementation within the European HPC strategy [Paper presentation]. Workshop: “Accelerating Modelling and Simulation in the Data Deluge Era”, Fontainebleau, France.

Kieffer, E., Rosalie, M., Danoy, G., & Bouvry, P. (26 February 2018). Bayesian optimization to enhance coverage performance of a swarm of UAV with chaotic dynamics [Paper presentation]. International Workshop on Optimization and Learning: Challenges and Applications (OLA 2018), Alicante, Spain.

Fitzgerald, J. C., Zimprich, A., Bobbili, D. R., Sharma, M., May, P., & Krüger, R. (2018). Reply: No evidence for rare TRAP1 mutations influencing the risk of idiopathic Parkinson’s disease. Brain: a Journal of Neurology. doi:10.1093/brain/awx380

Bobbili, D. R.* , Lal, D.* , May, P.* , Reinthaler, E. M., Jabbari, K., Thiele, H., Nothnagel, M., Jurkowski, W., EuroEPINOMICS COGIE Consortium, Balling, R., Feucht, M., Nürnberg, P., Lerche, H., Zimprich, F., Krause, R., & Neubauer, B. A. (2018). Exome-wide analysis of mutational burden in patients with typical and atypical Rolandic Epilepsy. European Journal of Human Genetics. doi:10.1038/s41431-017-0034-x

Heyne, H. O., EuroEPINOMICS RES Consortium, Abou Jamra, R., Caglayan, H., Craiu, D., De Jonghe, P., Guerrini, R., Helbig, K. L., Koeleman, B. P. C., Kosmicki, J. A., Linnankivi, T., May, P., Muhle, H., Moeller, R. S., Neubauer, B., Palotie, A., Pendziwiat, M., Stamberger, H., Striano, P., ... Lemke, J. R. (2018). De novo Variants in Neurodevelopmental Disorders with Epilepsy. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/31045. doi:10.1101/123323

Bernard, N., & Leprévost, F. (2018). Evolutionary Algorithms for Convolutional Neural Network Visualisation. In E. Meneses, H. Castro, C. J. Barrios Hernández, ... R. Ramos-Pollan (Eds.), High Performance Computing -- 5th Latin American Conference, CARLA 2018, Piedecuesta, Colombia. Springer.

Hoja, J., & Tkatchenko, A. (2018). First-principles stability ranking of molecular crystal polymorphs with the DFT+MBD approach. Faraday Discussions, 211, 253-274. doi:10.1039/C8FD00066B

Kirchmeyer, M., Servais, F., Hamdorf, M., Nazarov, P. V., Ginolhac, A., Halder, R., Vallar, L., Glanemann, M., Rubie, C., Lammert, F., Kreis, S., & Behrmann, I. (2018). Cytokine-mediated modulation of the hepatic miRNome: miR-146b-5p is an IL-6-inducible miRNA with multiple targets. Journal of Leukocyte Biology. doi:10.1002/JLB.MA1217-499RR

Rosalie, M., Danoy, G., Chaumette, S., & Bouvry, P. (2018). Chaos-enhanced mobility models for multilevel swarms of UAVs. Swarm and Evolutionary Computation. doi:10.1016/j.swevo.2018.01.002

Teferle, F. N., Hunegnaw, A., Abraha, K. E., Woodworth, P., Williams, S., Hibbert, A., Smalley, R., Dalziel, I., & Lawver, L. (11 December 2017). First Vertical Land Movement Estimates on South Georgia Island: An Impact Study on Sea Level Change from Tide Gauge and Altimetry Measurements [Poster presentation]. American Geophysical Union Fall Meeting 2017, New Orleans, 10-15 December 2017, United States.

Letellier, E., Schmitz, M., Ginolhac, A., Rodriguez, F., Ullmann, P., Qureshi-Baig, K., Frasquilho, S., Antunes, L., & Haan, S. (21 November 2017). Loss of Myosin Vb in colorectal cancer is a strong prognostic factor for disease recurrence. British Journal of Cancer, 117 (11), 1689-1701. doi:10.1038/bjc.2017.352

Ellens, K. W., Christian, N., Satagopam, V., May, P., & Linster, C. (16 November 2017). Confronting the catalytic dark matter encoded by sequenced genomes. Nucleic Acids Research, 45 (20), 11495-11514. doi:10.1093/nar/gkx937

Reynolds, N., Adamcik, J., Berryman, J., Handschin, S., Hakami Zanjani, A. A., Li, W., Liu, K., Zhang, A., & Mezzenga, R. (November 2017). Competition between crystal and fibril formation in molecular mutations of amyloidogenic peptides. Nature Communications, 8. doi:10.1038/s41467-017-01424-4

Taghavi, A., van der Schoot, P., & Berryman, J. (November 2017). DNA partitions into triplets under tension in the presence of organic cations, with sequence evolutionary age predicting the stability of the triplet phase. Quarterly Reviews of Biophysics, 50. doi:10.1017/S0033583517000130

Varrette, S., Bouvry, P., Plugaru, V., Diehl, S., Parisot, C., & Cartiaux, H. (November 2017). Overview and Challenges of the UL HPC Facility at the EuroHPC Horizon [Paper presentation]. 6th High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg.

Teferle, F. N. (2017). Global Navigation Satellite System (GNSS) at Tide Gauge Installations in the South Atlantic Ocean.

Teferle, F. N. (2017). Sea Level Changes, Monitoring of Vertical Land Movements and TIGA Activities.

Rosalie, M., Brust, M. R., Danoy, G., Chaumette, S., & Bouvry, P. (2017). Coverage optimization with connectivity preservation for UAV swarms applying chaotic dynamics. In IEEE International Conference on Autonomic Computing (ICAC), Columbus 17-21 July 2017 (pp. 113-118). doi:10.1109/ICAC.2017.26

Rosalie, M., Dentler, J. E., Danoy, G., Bouvry, P., Kannan, S., Olivares Mendez, M. A., & Voos, H. (2017). Area exploration with a swarm of UAVs combining deterministic Chaotic Ant Colony Mobility with position MPC. In 2017 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1392-1397). doi:10.1109/ICUAS.2017.7991418

Hunegnaw, A., Teferle, F. N., Abraha, K. E., Bingley, R., Hansen, D., Deng, Z., Schöne, T., Santamaria-Gomez, A., Gravelle, M., Wöppelmann, G., Sanchez, L., Moore, M., & Jia, M. (13 July 2017). A Global Vertical Land Movement Data Set from a Combination of Global Navigation Satellite System Solutions [Poster presentation]. International WCRP/IOC Conference 2017 Regional Sea Level Changes and Coastal Impacts, New York, United States.

Hunegnaw, A., Teferle, F. N., Abraha, K. E., Santamaria-Gomez, A., Gravelle, M., Wöppelmann, G., Schöne, T., Deng, Z., Bingley, R., Hansen, D., Sanchez, L., & Moore, M. (03 July 2017). On the Scientific Applications of IGS Products: An Assessment of the Reprocessed TIGA Solutions and Combined Products [Paper presentation]. IGS Workshop 2017, Pathways to Improved Precision, Paris, France.

Wangsom, P., Lavangnananda, K., & Bouvry, P. (2017). Measuring data locality ratio in virtual MapReduce cluster using WorkflowSim. In Proceedings of the 14th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2017 14th. IEEE. doi:10.1109/JCSSE.2017.8025944

Varrette, S., Bouvry, P., Plugaru, V., Diehl, S., Parisot, C., & Cartiaux, H. (June 2017). Overview and Challenges of the UL HPC Facility at the Belval and EuroHPC Horizon [Paper presentation]. 5th High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg.

Blauwendraat, C., Faghri, F., Pihlstrom, L., Geiger, J. T., Elbaz, A., Lesage, S., May, P., Aude, N., Abramzon, Y., Murphy, N. A., Gibbs, J. R., Ryten, M., Ferrari, R., Bras, J., Guerreiro, R., Williams, J., Sims, R., Lubbe, S., Hernandez, D. G., ... Scholz, S. W. (2017). NeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseases. Neurobiology of Aging. doi:10.1016/j.neurobiolaging.2017.05.009

Ahmed, F., Hunegnaw, A., Teferle, F. N., & Bingley, R. (27 April 2017). Evaluation of ERA-Interim for tropospheric delay and water vapour estimation in different climate zones using ground-based GNSS observations [Poster presentation]. European Geoscience Union General Assembly 2017, Vienne, Austria.

Hunegnaw, A., Teferle, F. N., & Abraha, K. E. (23 April 2017). A New Global Vertical Land Movement Data Set from the TIGA Combined [Poster presentation]. European Geosciences Union General Assembly, Vienna, Austria.

Santiago-Sim, T., Burrage, L. C., Ebstein, F., Tokita, M. J., Miller, M., Bi, W., Braxton, A. A., Rosenfeld, J. A., Shahrour, M., Lehmann, A., Cogne, B., Küry, S., Besnard, T., Isidor, B., Bézieau, S., Hazert, I., Nagakura, H., Immken, L. L., Littlejohn, R. O., ... Walkiewicz, M. A. (06 April 2017). Biallelic Variants in OTUD6B Cause an Intellectual Disability Syndrome Associated with Seizures and Dysmorphic Features. American Journal of Human Genetics, 100 (4), 676-688. doi:10.1016/j.ajhg.2017.03.001

Marini, C., Hardies, K., Pisano, T., May, P., Weckhuysen, S., Cellini, E., Suls, A., Mei, D., Balling, R., De Jonghe, P., Helbig, I., Garozzo, D., EuroEPINOMICS consortium AR working group, & Guerrini, R. (April 2017). Recessive mutations in SLC35A3 cause early onset epileptic encephalopathy with skeletal defects. American Journal of Medical Genetics. Part A, 173 (4), 1119-1123. doi:10.1002/ajmg.a.38112

Rosalie, M., Danoy, G., Chaumette, S., & Bouvry, P. (2017). Impact du mécanisme chaotique sur l’optimisation d’un modèle de mobilité pour un essaim de drones devant réaliser une couverture de zone. In E. Falcon, M. Lefranc, F. Pétrélis, ... C.-T. Pham (Eds.), Comptes-rendus de la 20e Rencontre du Non Linéaire (pp. 79-84). Saint Etienne du Rouvray, France: Non-Linéaire Publications.

Klos, A., Hunegnaw, A., Teferle, F. N., Abraha, K. E., Ahmed, F., & Bogusz, J. (22 February 2017). Noise characteristics in Zenith Total Delay from homogeneously reprocessed GPS time series [Paper presentation]. COST Action ES1206 GNSS4SWEC Final Workshop, Noordwijk, Netherlands.

Klopotek, M., Hansen-Goos, H., Dixit, M., Schilling, T., Schreiber, F., & Oettel, M. (February 2017). Monolayers of hard rods on planar substrates. II. Growth. Journal of Chemical Physics, 146, 084903. doi:10.1063/1.4976308

Besseron, X. (January 2017). XDEM: from HPC to the Cloud [Paper presentation]. BusinessClouds 2017.

Hartl, D., May, P., Gu, W., Mayhaus, M., Glaab, E., Antony, P., Bobbili, D. R., Köglsberger, S., Pichler, S., Spaniol, C., Kurz, A., Balling, R., Schneider, J., & Riemenschneider, M. (2017). IDENTIFICATION OF A RARE GENE VARIANT THAT IS ASSOCIATED WITH FAMILIAL ALZHEIMER DISEASE AND REGULATES APP EXPRESSION. Alzheimer's and Dementia: the Journal of the Alzheimer's Association, 13 (7, Supplement), 648. doi:10.1016/j.jalz.2017.06.758

Heintz, A., Pandey, U., Wicke, T., Sixel-Doring, F., Janzen, A., Sittig-Wiegand, E., Trenkwalder, C., Oertel, W. H., Mollenhauer, B., & Wilmes, P. (2017). The nasal and gut microbiome in Parkinson's disease and idiopathic rapid eye movement sleep behavior disorder. Movement Disorders. doi:10.1002/mds.27105

Abraha, K. E., Teferle, F. N., Hunegnaw, A., & Dach, R. (12 December 2016). On the Impact of Multi-GNSS Solutions on Satellite Products and Positioning [Poster presentation]. American Geophysical Union (AGU) Fall Meeting 2016, San Francisco, United States.

Hunegnaw, A., Teferle, F. N., Abraha, K. E., Bingley, R., & Hansen, D. (12 December 2016). Error analysis of Tide Gauge Benchmark Monitoring (TIGA) Analysis Center stacked solutions [Poster presentation]. AGU Fall Meeting 2016, San Francisco, CA, USA, 12-16 December, San Francisco, United States.

Abraha, K. E., Teferle, F. N., Hunegnaw, A., & Dach, R. (2016). GNSS related periodic signals in coordinate time-series from Precise Point Positioning. Geophysical Journal International. doi:10.1093/gji/ggw467

Jimenez, M., Papadakis, M., & Le Traon, Y. (2016). An Empirical Analysis of Vulnerabilities in OpenSSL and the Linux Kernel. In 2016 Asia-Pacific Software Engineering Conference (APSEC).

Kuhnhold, A., & Schilling, T. (17 November 2016). Isotropic-nematic transition and cholesteric phases of helical Yukawa rods. Journal of Chemical Physics, 145 (194904). doi:10.1063/1.4967718

Bisdorff, R. (November 2016). Computing linear rankings from trillions of pairwise outranking situations [Paper presentation]. DA2PL'2016 From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany.

Rosalie, M., Danoy, G., Chaumette, S., & Bouvry, P. (2016). From Random Process to Chaotic Behavior in Swarms of UAVs. In DIVANet '16 Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications (pp. 9-15). New York, United States: ACM. doi:10.1145/2989275.2989281

Varrette, S., Bouvry, P., Plugaru, V., Diehl, S., & Cartiaux, H. (November 2016). Overview and Challenges of the UL HPC Facility at the Belval Horizon [Paper presentation]. 4th High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg.

Jimenez, M., Papadakis, M., & Le Traon, Y. (2016). Vulnerability Prediction Models: A case study on the Linux Kernel. In 16th IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2016, Raleigh, US, October 2-3, 2016. doi:10.1109/SCAM.2016.15

Bruckner, J., Kuhnhold, A., Honorato Rios, C., Schilling, T., & Lagerwall, J. (2016). Enhancing Self-Assembly in Cellulose Nanocrystal Suspensions Using High-Permittivity Solvents. Langmuir. doi:10.1021/acs.langmuir.6b02647

Oettel, M., Klopotek, M., Dixit, M., Empting, E., Schilling, T., & Hansen-Goos, H. (August 2016). Monolayers of hard rods on planar substrates: I. Equilibrium. Journal of Chemical Physics, 145, 074902. doi:10.1063/1.4960618

Hunegnaw, A., Klos, A., Hansen, D., Teferle, F. N., Abraha, K. E., Bingley, R., & Bogusz, J. (30 July 2016). A New Vertical Land Movements Data Set from a Reprocessing of GNSS at Tide Gauge Stations [Paper presentation]. IAG/CPGPS International Conference on GNSS+ (ICG+ 2016) Advances, Opportunities and Challenges, Shanghai, China.

Teferle, F. N., Ding, W., Abraha, K. E., Hunegnaw, A., Laurichesse, D., Dach, R., Kazmierski, K., & Yunbin, Y. (30 July 2016). Multi-GNSS Benefits to Real-Time and Long-Term Monitoring Applications [Paper presentation]. IAG/CPGPS International Conference on GNSS+ (ICG+ 2016) Advances, Opportunities and Challenges, Shanghai, China.

Klos, A., Teferle, F. N., Hunegnaw, A., Ahmed, F., Abraha, K. E., & Bogusz, J. (29 July 2016). On the Properties of Zenith Total Delay Time Series from Reprocessed GPS Solutions [Poster presentation]. IAG/CPGPS International Conference on GNSS+ (ICG+ 2016) - Advances, Opportunities and Challenges, Shanghai, China.

Abraha, K. E., Teferle, F. N., Hunegnaw, A., & Dach, R. (2016). Impact of Limited Satellite Visibility on Estimates of Vertical Land Movements. International Association of Geodesy Symposia, 1-8. doi:10.1007/1345_2016_231

Hardies, K., Cai, Y., Jardel, C., Jansen, A. C., Cao, M., May, P., Djémié, T., Hachon Le Camus, C., Keymolen, K., Deconinck, T., Bhambhani, V., Long, C., Sajan, S. A., Helbig, K. L., Suls, A., Balling, R., Helbig, I., De Jonghe, P., Depienne, C., ... Weckhuysen, S. (2016). Loss of SYNJ1 dual phosphatase activity leads to early onset refractory seizures and progressive neurological decline. Brain: a Journal of Neurology. doi:10.1093/brain/aww180

Emeras, J., Varrette, S., & Bouvry, P. (2016). Amazon Elastic Compute Cloud (EC2) vs. in-House HPC Platform: a Cost Analysis. In Proc. of the 9th IEEE Intl. Conf. on Cloud Computing (CLOUD 2016). San Francisco, United States: IEEE Computer Society. doi:10.1109/CLOUD.2016.44

Hunegnaw, A., Teferle, F. N., Bingley, R., & Hansen, D. (May 2016). Status of TIGA activities at the British Isles continuous GNSS Facility and the University of Luxembourg. International Association of Geodesy Symposia, 143, 617-623. doi:10.1007/1345_2015_77

Appelt, D., Nguyen, D. C., & Briand, L. (2016). Automated Testing of Web Application Firewalls. (TR-SnT-2016-1).

Muszynski, J., Varrette, S., & Bouvry, P. (2016). Reducing Efficiency of Connectivity-Splitting Attack on Newscast via Limited Gossip. In Proc. of the 19th European Event on Bio-Inspired Computation, EvoCOMNET 2016. Porto, Portugal, Unknown/unspecified: Springer Verlag.

Tchernykh, A., Lozano, L., Schwiegelshohn, U., Bouvry, P., Pecero, J., Nesmachnow, S., & Drosdov, A. (01 March 2016). Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Journal of Grid Computing, 14. doi:10.1007/s10723-015-9340-0

Nielsen, S. S. (2016). Diversity Preserving Genetic Algorithms - Application to the Inverted Folding Problem and Analogous Formulated Benchmarks [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/28226

Hunegnaw, A., & Teferle, F. N. (February 2016). Quality assessment of Mulit-Year BLT Tide Gauge Benchmark Monitoring (TIGA) repro2 Solution [Poster presentation]. IGS2016 Workshop, Sydney, Australia.

Panchenko, A., Lanze, F., Zinnen, A., Henze, M., Pennekamp, J., Wehrle, K., & Engel, T. (2016). Website Fingerprinting at Internet Scale. In Proceedings of the 23rd Internet Society (ISOC) Network and Distributed System Security Symposium (NDSS 2016).

Dixit, M., Meyer, H., & Schilling, T. (2016). Connectivity percolation in suspensions of attractive square-well spherocylinders. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics, (93), 012116. doi:10.1103/PhysRevE.93.012116

Berryman, J., Anwar, M., Dorosz, S., & Schilling, T. (2016). The early crystal nucleation process in hard spheres shows synchronised ordering and densification. Journal of Chemical Physics, 145, 211901. doi:10.1063/1.4953550

Bisdorff, R. (January 2016). Ranking big performance tableaux with multiple incommensurable criteria and missing data [Paper presentation]. ORBEL 30 30th Belgian Conference on Operations Research, Louvain-la-Neuve, Belgium.

Casadei, N., Sood, P., Ulrich, T., Kieper, N., Helling, S., May, C., Glaab, E., Chen, J., Nuber, S., Marcus, K., Rapaport, D., Ott, T., Riess, O., Krüger, R., & Fitzgerald, J. (2016). Mitochondrial Defects and Neurodegeneration in Mice Overexpressing Wild Type or G399S Mutant HtrA2. Human Molecular Genetics, 25 (3), 459-71. doi:10.1093/hmg/ddv485

Ceccato, M., Nguyen, D. C., Appelt, D., & Briand, L. (2016). SOFIA: An Automated Security Oracle for Black-Box Testing of SQL-Injection Vulnerabilities. In Proceedings of the 31th IEEE/ACM International Conference on Automated Software Engineering.

Emeras, J., Besseron, X., Varrette, S., Bouvry, P., & Peters, B. (2016). HPC or the Cloud: a cost study over an XDEM Simulation. In Proc. of the 7th International Supercomputing Conference in Mexico (ISUM 2016).

Heintz, A., May, P., Laczny, C. C., Lebrun, L., Bellora, C., Krishna, A., Wampach, L., Schneider, J., Hogan, A., Beaufort, C. D., & Wilmes, P. (2016). Erratum: Integrated multi-omics of the human gut microbiome in a case study of familial type 1 diabetes. Nature Microbiology, 2, 16227. doi:10.1038/nmicrobiol.2016.227

Kleiderman, S., Gutbier, S., Tufekci, K. U., Ortega, F., Sá, J. V., Teixeira, A. P., Brito, C., Glaab, E., Berninger, B., Alves, P. M., & Leist, M. (2016). Conversion of non-proliferating astrocytes into neurogenic neural stem cells: control by FGF2 and IFN-gamma. Stem Cells, 34 (12), 2861–2874. doi:10.1002/stem.2483

Kleiderman, S., Sá, J., Teixeira, A., Brito, C., Gutbier, S., Evje, L., Hadera, M., Glaab, E., Henry, M., Agapios, S., Alves, P., Sonnewald, U., & Leist, M. (2016). Functional and phenotypic differences of pure populations of stem cell-derived astrocytes and neuronal precursor cells. Glia, 64 (5), 695-715. doi:10.1002/glia.22954

Molina-Sanchez, A., Palummo, M., Marini, A., & Wirtz, L. (2016). Temperature-dependent excitonic effects in the optical properties of single-layer MoS2. Physical Review. B, Condensed Matter, 93, 155435. doi:10.1103/PhysRevB.93.155435

Sidorov, D., & Teferle, F. N. (2016). Impact of Antenna Phase Centre Calibrations on Position Time Series: Preliminary Results. In P. Willis & C. Rizos (Eds.), IAG 150 Years Proceedings of the 2013 IAG Scientific Assembly, Postdam,Germany, 1–6 September, 2013 (pp. 117-123). Heidelberg, Germany: Springer. doi:10.1007/1345_2015_216

Teferle, F. N., Hunegnaw, A., Ahmed, F., Sidorov, D., Woodworth, P. L., Foden, P. R., & Williams, S. P. D. (2016). The King Edward Point Geodetic Observatory, South Georgia, South Atlantic Ocean: A First Evaluation and Potential Contributions to Geosciences. In P. Willis & C. Rizos (Eds.), IAG 150 Years Proceedings of the 2013 IAG Scientific Assembly, Postdam, Germany, 1–6 September, 2013 (pp. 625-630). Heidelberg, Germany: Springer. doi:10.1007/1345_2015_175

Tretakiova, A., Seredynski, F., & Bouvry, P. (01 January 2016). Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Simulation, 92. doi:10.1177/0037549715612579

Zotkiewicz, M., Guzek, M., Kliazovich, D., & Bouvry, P. (2016). Minimum Dependencies Energy-Efficient Scheduling in Data Centers. IEEE Transactions on Parallel and Distributed Systems. doi:10.1109/TPDS.2016.2542817

Ameziane, N., May, P., Van de Vrugt, H. J., Van Rossum-Fikkert, S. E., Ristic, D., Williams, G. J., Balk, J., Rockx, D., Li, H., Rooimans, M. A., Oostra, A. B., Velleuer, E., Dietrich, R., Bleijerveld, O. B., Altelaar, A. F. M., Meijers-Heijboer, H., Joenje, H., Glusman, G., Roach, J. C., ... Dorsman, J. C. (18 December 2015). A novel Fanconi anemia subtype associated with a dominant-negative mutation in RAD51. Nature Communications, 6 (8829). doi:10.1038/ncomms9829

Hunegnaw, A., & Teferle, F. N. (17 December 2015). Assessment of BLT Tide Gauge Benchmark Monitoring (TIGA) repro2 Solutions [Poster presentation]. AGU Fall Meeting 2015, San Francisco, CA, USA, 14-18 December, San Francisco, United States.

Molina-Sanchez, A., Hummer, K., & Wirtz, L. (01 December 2015). Vibrational and optical properties of MoS2: From monolayer to bulk. Surface Science Reports, 70 (4), 554-586. doi:10.1016/j.surfrep.2015.10.001

Killcoyne, S. (2015). Insilico genomes for high-throughput sequencing cancer-specific analysis [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/22512

Hamadi, M., Heinen, A., Jonard, N., & Valdesogo, A. (2015). Desperately Seeking Small Worlds in Corporate Boards: International Evidence from Listed Firms. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/24030.

Abraha, K. E., Teferle, F. N., Hunegnaw, A., & Dach, R. (27 October 2015). Signal Obstructions at GNSS Stations: Benefits From Multi-GNSS Observations [Poster presentation]. 5th International Colloquium on Scientific and Fundamental Aspects of the Galileo Programme, Braunschweig, Germany.

Ding, W., Ahmed, F., Teferle, F. N., Laurichesse, D., & Abraha, K. E. (October 2015). An evaluation of multi-GNSS zenith tropospheric delay products based on real-time satellite products [Poster presentation]. 5th Galileo Science Colloquium.

Nesmachnow, S., Dorronsoro, B., Talbi, E.-G., & Bouvry, P. (October 2015). Metaheuristics for the Virtual Machine Mapping Problem in Clouds. Informatica, 26 (1), 111-134. doi:10.15388/Informatica.2015.41

Varrette, S., Dorronsorro, B., & Bouvry, P. (2015). An LLVM-based Approach to Generate Energy Aware Code by means of MOEAs. In Proc. of the 7th European Symposium on Computational Intelligence and Mathematics.(ESCIM 2015).

Hardies, K., de Kovel, C. G. F., Weckhuysen, S., Asselbergh, B., Geuens, T., Deconnick, T., Azmi, A., May, P., Brilstra, E., Becker, F., Barisic, N., Craiu, D., Braun, K., Lal, D., Thiele, H., Schubert, J., Weber, Y., van't Slot, R., Autosomal recessive working group of the EuroEPINOMICS RES Consortium, ... De Jonghe, P. (2015). Recessive mutations in SLC13A5 result in a loss of citrate transport and cause neonatal epilepsy, developmental delay and teeth hypoplasia. Brain: a Journal of Neurology. doi:10.1093/brain/awv263

Galhardo, M. S., Berninger, P., Nguyen, T.-P., Sauter, T., & Sinkkonen, L. (03 September 2015). Cell type-selective disease-association of genes under high regulatory load. Nucleic Acids Research, 43 (18), 8839-8855. doi:10.1093/nar/gkv863

Froehlicher, G., Lorchat, E., Fernique, F., Chaitanya, J., Molina-Sanchez, A., Wirtz, L., & Berciaud, S. (September 2015). Unified Description of the Optical Phonon Modes in N-Layer MoTe2. Nano Letters, 15, 6481–6489. doi:10.1021/acs.nanolett.5b02683

Pereira Coutada Miranda, H., Molina-Sanchez, A., & Wirtz, L. (September 2015). Electronic and Vibrational proprieties of graphene on Ir(111) and SiC(100) [Poster presentation]. PSI-K - 2015 Conference.

Killcoyne, S., & del Sol Mesa, A. (2015). Identification of large-scale genomic variation in cancer genomes using in silico reference models. Nucleic Acids Research. doi:10.1093/nar/gkv828

Li, J., Pereira Coutada Miranda, H., Niquet, Y.-M., Genovese, L., Duchemin, I., Wirtz, L., & Delerue, C. (2015). Phonon-limited carrier mobility and resistivity from carbon nanotubes to graphene. Physical Review. B, Condensed Matter and Materials Physics. doi:10.1103/PhysRevB.92.075414

Abraha, K. E., Teferle, F. N., Hunegnaw, A., & Dach, R. (27 June 2015). Impact of Limited Multi-GNSS Visibility on Vertical Land Movement Estimates [Poster presentation]. 26th General Assembly of the International Union of Geodesy and Geophysics (IUGG), Prague, Czechia.

Varrette, S., Bouvry, P., Plugaru, V., Diehl, S., & Cartiaux, H. (June 2015). High Performance Computing (HPC) at UL: Overview (as of 2015) and Usage [Paper presentation]. 3rd High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg.

Emeras, J., Varrette, S., Guzek, M., & Bouvry, P. (2015). Evalix: Classification and Prediction of Job Resource Consumption on HPC Platforms. In Proc. of the 19th Intl. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP'15), part of the 29th IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS 2015). IEEE Computer Society.

Muszynski, J., Varrette, S., Dorronsorro, B., & Bouvry, P. (2015). Distributed Cellular Evolutionary Algorithms in a Byzantine Environment. In Proc. of the 18th Intl. Workshop on Nature Inspired Distributed Computing (NIDISC 2015), part of the 29th IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS 2015). Hyderabad, India: IEEE Computer Society.

Hunegnaw, A., & Teferle, F. N. (12 April 2015). A Multi-Year Combination of Tide Gauge Benchmark Monitoring (TIGA) Analysis Center Products [Poster presentation]. EGU General Assembly 2015, Vienna, Austria, 12-17 April 2015, Vienna, Austria.

Ruiz, P., Dorronsoro, B., Talbi, E.-G., & Bouvry, P. (April 2015). Finding a robust configuration for the AEDB information dissemination protocol for mobile ad hoc networks. Applied Soft Computing, 32, 494-508. doi:10.1016/j.asoc.2015.04.003

Molina-Sanchez, A., Palummo, M., Marini, A., & Wirtz, L. (05 March 2015). Ab-initio study of the temperature effects on the optical properties of transition metal dichalcogenides [Paper presentation]. APS March Meeting.

Besseron, X., Plugaru, V., Mahmoudi, A. H., Varrette, S., Peters, B., & Bouvry, P. (2015). Performance Evaluation of the XDEM framework on the OpenStack Cloud Computing Middleware. In Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering. Civil-Comp Press.

Ghosal, A., Upadhyaya, B. B., Fritz, J., Heintz, A., Desai, M., Dilimulati, Y., Huang, D., Baumuratov, A., Wang, K., Galas, D. J., & Wilmes, P. (2015). The extracellular RNA complement of Escherichia coli. MicrobiologyOpen. doi:10.1002/mbo3.235

Allix, K., Bissyande, T. F. D. A., Klein, J., & Le Traon, Y. (2015). Are Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware Detection. In Engineering Secure Software and Systems - 7th International Symposium ESSoS 2015, Milan, Italy, March 4-6, 2015. Proceedings (pp. 51-67). Springer International Publishing. doi:10.1007/978-3-319-15618-7_5

Appelt, D., Nguyen, D. C., & Briand, L. (2015). Behind an Application Firewall, Are We Safe from SQL Injection Attacks? In 2015 IEEE 8th International Conference on Software Testing, Verification, and Validation (ICST). doi:10.1109/ICST.2015.7102581

Arcuri, A., Fraser, G., & Galeotti, J. P. (2015). Generating TCP/UDP Network Data for Automated Unit Test Generation. In 10th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE). ACM. doi:10.1145/2786805.2786828

Bouvry, P., Mayer, R., Muszynski, J., Petcu, D., Rauber, A., Tempesti, G., Trinh, & Varrette, S. (2015). Resilience within Ultrascale Computing System: Challenges and Opportunities from Nesus Project. Supercomputing Frontiers and Innovations, 2 (2), 46--63. doi:10.14529/JSFI150203

Fraser, G., & Arcuri, A. (2015). EvoSuite at the SBST 2015 Tool Competition. In 8th International Workshop on Search-Based Software Testing (SBST) 2015. ACM. doi:10.1109/SBST.2015.13

Hardies, K., May, P., Djémié, T., Tarta-Arsene, O., Deconinck, T., Craiu, D., EuroEPINOMICS RES Consortium, Helbig, I., Suls, A., Balling, R., Weckhuysen, S., De Jonghe, P., & Hirst, J. (2015). Recessive loss-of-function mutations in AP4S1 cause mild fever-sensitive seizures, developmental delay and spastic paraplegia through loss of AP-4 complex assembly. Human Molecular Genetics, 24 (8), 2218-2227. doi:10.1093/hmg/ddu740

Mazzali, N., Stante, G., Shankar, B., & Ottersten, B. (2015). Performance Analysis of Noncoherent Frame Synchronization in Satellite Communications with Frequency Uncertainty. In Proceedings on IEEE Symposium on Communications and Vehicular Technology in the Benelux.

Mizera, A., Pang, J., & Yuan, Q. (2015). ASSA-PBN: An approximate steady-state analyser for probabilistic Boolean networks. In Proceedings of the 13th International Symposium on Automated Technology for Verification and Analysis (ATVA'15) (pp. 214-220). Springer.

Nielsen, S. S., Danoy, G., Bouvry, P., & Talbi, E.-G. (2015). NK Landscape Instances Mimicking the Protein Inverse Folding Problem Towards Future Benchmarks. In GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. New York, United States: ACM.

Nielsen, S. S., Danoy, G., Jurkowski, W., Jimenez Laredo, J. L., Schneider, R., Talbi, E.-G., & Bouvry, P. (2015). A Novel Multi-objectivisation Approach for Optimising the Protein Inverse Folding Problem. In Applications of Evolutionary Computation: 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings.

Okawa, S., Espinosa Angarica, V., Lemischka, I., Moore, K., & del Sol Mesa, A. (2015). A differential network analysis approach for lineage specifier prediction in stem cell subpopulations. NPJ Systems Biology and Applications. doi:10.1038/npjsba.2015.12

Pereira Coutada Miranda, H., & Wirtz, L. (January 2015). A force-constant model of graphene for conductivity calculations [Poster presentation]. Euro-TMCS I - Theory, Modelling and Computational Methods for Semiconductors, Granada, Spain.

Roume, H., Buschart, A., Muller, E., May, P., Satagopam, V., Laczny, C. C., Narayanasamy, S., Lebrun, L., Hoopmann, M., Schupp, J., Gillece, J., Hicks, N., Engelthaler, D., Sauter, T., Keim, P., Moritz, R., & Wilmes, P. (2015). Comparative integrated omics: identification of key functionalities in microbial community-wide metabolic networks. Biofilms and Microbiomes, 1 (15007). doi:10.1038/npjbiofilms.2015.7

Trujillo Rasua, R., & Yero, I. G. (2015). k-Metric Antidimension: a Privacy Measure for Social Graphs. Information Sciences, 328, 403 – 417. doi:10.1016/j.ins.2015.08.048

Berryman, J., & Schilling, T. (31 December 2014). Absolute Free Energies for Biomolecules in Implicit or Explicit Solvent. Physics Procedia, 57, 7-15. doi:10.1016/j.phpro.2014.08.123

Allix, K., Bissyande, T. F. D. A., Jerome, Q., Klein, J., State, R., & Le Traon, Y. (2014). Empirical assessment of machine learning-based malware detectors for Android: Measuring the Gap between In-the-Lab and In-the-Wild Validation Scenarios. Empirical Software Engineering, 1-29. doi:10.1007/s10664-014-9352-6

Krishna, A., Biryukov, M., Trefois, C., Antony, P., Hussong, R., Lin, J., Heinäniemi, M., Glusman, G., Köglsberger, S., Boyd, O., van den Berg, B. H. J., Linke, D., Huang, D., Wang, K., Hood, L., Tholey, A., Schneider, R., Galas, D. J., Balling, R., & May, P. (20 December 2014). Systems genomics evaluation of the SH-SY5Y neuroblastoma cell line as a model for Parkinson’s disease. BMC Genomics, 15 (1154). doi:10.1186/1471-2164-15-1154

Correa Bahnsen, A., Aouada, D., & Ottersten, B. (2014). Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring. In 2014 13th International Conference on Machine Learning and Applications (pp. 263-269). Detroit, United States: IEEE. doi:10.1109/ICMLA.2014.48

Plugaru, V., Varrette, S., & Bouvry, P. (2014). Performance Analysis of Cloud Environments on Top of Energy-Efficient Platforms Featuring Low Power Processors. In Proc. of the 6th IEEE Intl. Conf. on Cloud Computing Technology and Science (CloudCom'14). Singapore, Singapore: IEEE Computer Society.

Muller, E., Pinel, N., Laczny, C. C., Hoopmann, M., Narayanasamy, S., Lebrun, L., Roume, H., Lin, J., May, P., Hicks, N., Buschart, A., Wampach, L., Liu, C., Price, L., Gillece, J., Guignard, C., Schupp, J., Vlassis, N., Baliga, ... Wilmes, P. (2014). Community-integrated omics links dominance of a microbial generalist to fine-tuned resource usage. Nature Communications. doi:10.1038/ncomms6603

Eibelt, U., Trovato, A., Kloth, M., Gentz, E., Finke, R., Spranger, J., Galas, D. J., Weber, S., Wolf, C.-A., König, K., Arlt, W., Büttner, R., May, P., Allolio, B., & Schneider, J. (2014). Molecular and Clinical Evidence for an ARMC5 Tumor Syndrome: Concurrent Inactivating Germline and Somatic Mutations are Associated with both Primary Macronodular Adrenal Hyperplasia and Meningioma. Journal of Clinical Endocrinology and Metabolism. doi:10.1210/jc.2014-2648

Endlich, M., Pereira Coutada Miranda, H., Molina-Sanchez, A., Wirtz, L., & Kröger, J. (October 2014). Moiré-induced replica of graphene phonons on Ir(111). Annalen der Physik, 526 (9-10), 372-380. doi:10.1002/andp.201400091

Muszynski, J., Varrette, S., Jimenez Laredo, J. L., & Bouvry, P. (2014). Exploiting the Hard-wired Vulnerabilities of Newscast via Connectivity-splitting Attack. In Proc. of the IEEE Intl. Conf. on Network and System Security (NSS 2014). Xi'an, China: Springer Verlag.

Plugaru, V., Varrette, S., & Bouvry, P. (October 2014). Performance tuning of applications in HPC environments employing Simulated Annealing [Paper presentation]. Intl. Conf. on Metaheuristics and Nature Inspired Computing (META'14).

Muszynski, J., Varrette, S., Laredo, J. L. J., & Bouvry, P. (2014). Analysis of the Data Flow in the Newscast Protocol for Possible Vulnerabilities. In Proc. of Intl. Conf. on Cryptography and Security System (CSS'14). Lublin, Poland, Unknown/unspecified: Springer.

Varrette, S., Plugaru, V., Guzek, M., Besseron, X., & Bouvry, P. (2014). HPC Performance and Energy-Efficiency of the OpenStack Cloud Middleware. In Proc. of the 43rd Intl. Conf. on Parallel Processing (ICPP-2014), Heterogeneous and Unconventional Cluster Architectures and Applications Workshop (HUCAA'14). Minneapolis, MN, US, Unknown/unspecified: IEEE.

Trefois, C. (2014). Detection and characterization of critical transitions in mitochondrial activity via high content screening [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/17706

Turci, F., & Schilling, T. (05 August 2014). Crystal growth from a supersaturated melt: Relaxation of the solid-liquid dynamic stiffness. Journal of Chemical Physics, 141, 054706. doi:10.1063/1.4891671

Varrette, S., Bouvry, P., Cartiaux, H., & Georgatos, F. (2014). Management of an Academic HPC Cluster: The UL Experience. In Proc. of the 2014 Intl. Conf. on High Performance Computing Simulation (HPCS 2014). Bologna, Italy: IEEE. doi:10.1109/HPCSim.2014.6903792

Michael, M. (2014). A Discrete Approach to Describe the Kinematics between Snow and a Tire Tread [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/18160

Allix, K., Bissyande, T. F. D. A., Klein, J., & Le Traon, Y. (2014). Machine Learning-Based Malware Detection for Android Applications: History Matters! Luxembourg, Luxembourg: University of Luxembourg, SnT.

Bertholon, B., Varrette, S., & Bouvry, P. (2014). Comparison of Multi-objective Optimization Algorithms for the JShadObf JavaScript Obfuscator. In Proc. of the 17th Intl. Workshop on Nature Inspired Distributed Computing (NIDISC 2014), part of the 28th IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS 2014). Phoenix, Arizona, USA, Unknown/unspecified: IEEE Computer Society.

Varrette, S., Bouvry, P., Georgatos, F., & Cartiaux, H. (May 2014). HPC platforms @ UL: Overview (as of 2014) and Usage [Paper presentation]. 1st High Performance Computing School, University of Luxembourg, Luxembourg, Luxembourg.

DANOY, G., SCHLEICH, J., BOUVRY, P., & Dorronsoro, B. (01 April 2014). A Parallel Multi-Objective Cooperative Coevolutionary Algorithm for Optimising Small-World Properties in VANETs. CLEI Electronic Journal, 17 (1). doi:10.19153/cleiej.17.1.1

Dorosz, S., Shegokar, N., Schilling, T., & Oettel, M. (2014). Strong Effect ofWeak Charging in Suspensions of Anisotropic Colloids. Soft Matter. doi:10.1039/C4SM00612G

Lara, C., Reynolds, N., Berryman, J., Xu, A., Zhang, A., & Mezzenga, R. (26 March 2014). ILQINS hexapeptide, identified in lysozyme left-handed helical ribbons and nanotubes, forms right-handed helical ribbons and crystals. Journal of the American Chemical Society, 136 (12), 4732-4739. doi:10.1021/ja500445z

Mahmoudi, A. H., Hoffmann, F., & Peters, B. (March 2014). Detailed numerical modeling of pyrolysis in a heterogeneous packed bed using XDEM. Journal of Analytical and Applied Pyrolysis, 106, 9–20. doi:10.1016/j.jaap.2013.12.001

Muszynski, J., Varrette, S., & Bouvry, P. (March 2014). On the Resilience of the Newscast Protocol in the Presence of Cheaters [Paper presentation]. 2014 Grande Region Security and Reliability Day (GRSRD 2014), Saarbrucken, Germany.

Plugaru, V., Varrette, S., Pinel, F., & Bouvry, P. (2014). Evaluating the HPC Performance and Energy-Efficiency of Intel and ARM-based systems with synthetic and bioinformatics workloads. CSC.

Anwar, M., Berryman, J., & Schilling, T. (2014). Crystal nucleation mechanism in melts of short polymer chains under quiescent conditions and under shear flow. Journal of Chemical Physics, (141), 124910. doi:10.1063/1.4896568

Biryukov, A., Roy, A., & Velichkov, V. (2014). Differential Analysis of Block Ciphers SIMON and SPECK. In Fast Software Encryption - 21st International Workshop (Lecture Notes in Computer Science). Springer International Publishing. doi:10.1007/978-3-662-46706-0_28

Biryukov, A., & Velichkov, V. (2014). Automatic Search for Differential Trails in ARX Ciphers. In Topics in Cryptology – CT-RSA 2014 Lecture Notes in Computer Science (pp. 227-250). Springer International Publishing. doi:10.1007/978-3-319-04852-9_12

Correa Bahnsen, A., Stojanovic, A., Aouada, D., & Ottersten, B. (2014). Improving Credit Card Fraud Detection with Calibrated Probabilities. In Proceedings of the fourteenth SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 (pp. 677-685). Philadelphia, United States: Society for Industrial and Applied Mathematics.

Dorosz, S., & Schilling, T. (January 2014). Infuence of random pinning on the crystallization process in suspensions of hard spheres. Journal of Crystallization Process and Technology, 4 (2).

Dorronsoro, B., Ruiz, P., Talbi, E.-G., & Piyatumrong, A. (2014). Optimizing AEDB Broadcasting Protocol with Parallel Multi-objective Cooperative Coevolutionary NSGAII. In Optimizing AEDB Broadcasting Protocol with Parallel Multi-objective Cooperative Coevolutionary NSGAII.

Guzek, M., Varrette, S., Plugaru, V., Pecero, J., & Bouvry, P. (2014). A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment. Concurrency and Computation: Practice and Experience. doi:10.1007/978-3-642-40517-4_13

Jimenez Laredo, J. L., Nielsen, S. S., Danoy, G., Bouvry, P., & fernandes, C. (2014). Cooperative Selection: Improving Tournament Selection via Altruism. In The 14th European Conference on Evolutionary Computation in Combinatorial Optimisation.

Killcoyne, S., & del Sol Mesa, A. (2014). FIGG: Simulating populations of whole genome sequences for heterogeneous data analyses. BMC Bioinformatics, 15 (1). doi:10.1186/1471-2105-15-149

Kratzer, K., Berryman, J., Taudt, A., Zeman, J., & Arnold, A. (2014). The Flexible Rare Event Sampling Harness System (FRESHS). Computer Physics Communications. doi:10.1016/j.cpc.2014.03.013

Mahmoudi, A. H., Hoffmann, F., & Peters, B. (01 January 2014). Application of XDEM as a novel approach to predict drying of a packed bed. International Journal of Thermal Sciences, 75, 65e75. doi:10.1016/j.ijthermalsci.2013.07.016

Mezmaz, M., Mehdi, M., Bouvry, P., Talbi, E.-G., & Tuyttens, D. (2014). Solving the three dimensional quadratic assignment problem on a computational grid. Cluster Computing, 17 (2), 205-217. doi:10.1007/s10586-013-0313-4

Michael, M., Vogel, F., & Peters, B. (2014). XDEM - FEM Coupling Simulations of the Interactions between a Tire Tread and Granular Terrain. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/17044.

Nielsen, S. S., Jurkowski, W., Danoy, G., Jimenez Laredo, J. L., Schneider, R., Talbi, E.-G., & Bouvry, P. (2014). Evolutionary multi objective optimisation with diversity as objective for the protein structure similarity problem [Paper presentation]. Natural computing for protein structure prediction Workshop, 13th International Conference on Parallel Problem Solving From Nature (PPSN), Ljubljana, Slovenia.

Nielsen, S. S., Jurkowski, W., Danoy, G., Jimenez Laredo, J. L., Schneider, R., Talbi, E.-G., & Bouvry, P. (2014). Evolutionary Multi-Objective Optimisation with Quantile Constraint for the Protein Structure Similarity Problem [Paper presentation]. 5th International Conference on Metaheuristics and Nature Inspired Computing (META).

Radu, M., & Schilling, T. (January 2014). Solvent hydrodynamics speed up crystal nucleation in suspensions of hard spheres. Europhysics Letters, 105. doi:10.1209/0295-5075/105/26001

Turci, F., Schilling, T., Yamani, M. H., & Oettel, M. (January 2014). Solid phase properties and crystallization in simple model systems. European Physical Journal. Special Topics, 223, 421-438. doi:10.1140/epjst/e2014-02100-8

Anwar, M., Turci, F., & Schilling, T. (04 December 2013). Crystallization mechanism in melts of short n-alkane chains. Journal of Chemical Physics, 139 (21). doi:10.1063/1.4835015

Michael, M., Peters, B., & Vogel, F. (2013). An Efficient 3D FEM - DEM Coupling for Granular Matter Applications. Coupled MBS-FE Applications: A New Trend in Simulation.

Delplace, V., Manneback, P., Pinel, F., Varrette, S., & Bouvry, P. (2013). Comparing the Performance and Power Usage of GPU and ARM Clusters for Map-Reduce. In Proc. of the 3rd Intl. Conf. on Cloud and Green Computing (CGC'13). IEEE Computer Society. doi:10.1109/CGC.2013.38

Michael, M., Peters, B., & Vogel, F. (2013). Simulation des Traktionsverhaltens von Reifen auf granularem Untergrund durch eine Kopplung zwischen der Finiten (FEM) und der Diskreten Element Methode (DEM). In VDI-Berichte "Reifen-Fahrwerk-Fahrbahn". Düsseldorf, Germany: VDI Verlag GmbH.

Varrette, S., Guzek, M., Plugaru, V., Besseron, X., & Bouvry, P. (2013). HPC Performance and Energy-Efficiency of Xen, KVM and VMware Hypervisors. In Proc. of the 25th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2013).

Peters, B., & Amir, M. (2013). Die Extended Discrete Element Method (XDEM) als integraler Ansatz für reagierende Mehrphasenströmungen. In 26. Deutscher Flammentag Verbrennung und Feuerung. Düsseldorf, Germany: VDI Verlag.

Plugaru, V., Georgatos, F., Varrette, S., & Bouvry, P. (2013). Performance tuning of applications for HPC systems employing Simulated Annealing optimization. Luxembourg, Luxembourg: CSC.

Schaberreiter, T., Varrette, S., Bouvry, P., Röning, J., & Khadraoui, D. (2013). Dependency Analysis for Critical Infrastructure Security Modelling: A Case Study within the Grid'5000 Project. In Proc. of the 3th IFIP Intl. SeCIHD'2013 Workshop, part of the 8th Intl. Conf. on Availability, Reliability and Security (ARES'13) (pp. 269-287). Regensburg, Germany: Springer Verlag.

Michael, M., & Peters, B. (2013). 3D DEM – FEM Coupling to Analyse the Tractive Performance of Different Tire Treads in Soil. In S. Idelsohn, M. Papadrakakis, ... B. Schrefler (Eds.), Computational Methods for Coupled Problems in Science and Engineering V. Barcelona, Spain: CIMNE.

Bertholon, B., Varrette, S., & Martinez, S. (2013). ShadObf: A C-source Obfuscator based on Multi-objective Optimization Algorithms. In Proc. of the 16th Intl. Workshop on Nature Inspired Distributed Computing (NIDISC 2013), part of the 27th IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS 2013). Boston (Massachusetts), USA, Unknown/unspecified: IEEE Computer Society.

Peters, B. (May 2013). The extended discrete element method (XDEM) for multi-physics applications. Scholarly Journal of Engineering Research, 2, 1-20.

Hoffmann, F., & Peters, B. (2013). Extended Discrete Element Method (XDEM) to Model Heterogeneous Reactions in Packed Beds. In PARTEC - International Congress on Particle Technology.

Jarus, M., Varrette, S., Oleksiak, A., & Bouvry, P. (2013). Performance Evaluation and Energy Efficiency of High-Density HPC Platforms Based on Intel, AMD and ARM Processors. In Proc. of the Intl. Conf. on Energy Efficiency in Large Scale Distributed Systems (EE-LSDS'13). Vienna, Austria, Unknown/unspecified: Springer Verlag. doi:10.1007/978-3-642-40517-4_16

Michael, M., Nicot, F., & Peters, B. (2013). Discrete Element Modeling of Inter-Granular Bonds between Snow Grains. In PARTEC - International Congress on Particle Technology.

Estupinan Donoso, A. A., Hoffmann, F., & Peters, B. (February 2013). eXtended Discrete Element Method used for convective heat transfer predictions. International Review of Mechanical Engineering, 7 (2), 329-336.

Baum, J., Cowan, R., & Jonard, N. (2013). Prescriptions for Network Strategy: Does Evidence of Network Effects in Cross-Section Support them? Strategic Management Journal. doi:10.1002/smj.2133

Besseron, X., Hoffmann, F., Michael, M., & Peters, B. (2013). Unified Design for Parallel Execution of Coupled Simulations using the Discrete Particle Method. In Proceedings of the Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering. Stirlingshire, United Kingdom: Civil-Comp Press. doi:10.4203/ccp.101.49

Caldeira, F., Schaberreiter, T., Varrette, S., Monteiro, E., Sim$\texto$es, P., Khadraoui, D., & Bouvry, P. (2013). Trust Based Interdependency Weighting for On-line Risk Monitoring in Interdependent Critical Infrastructures. International Journal of Secure Software Engineering, 4 (4), 47-69. doi:10.4018/ijsse.2013100103

Dorronsoro, B., Burguillo, J. C., Peleteiro, A., & Bouvry, P. (2013). Evolutionary algorithms based on game theory and cellular automata with coalitions. In I. Zelinka, V. Snasel, ... A. Abraham (Eds.), Handbook of Optimization (pp. 481-503). Springer.

Dorronsoro, B., Danoy, G., Nebro, A. J., & Bouvry, P. (2013). Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution. Computers and Operations Research, 40 (6), 1552-1563. doi:10.1016/j.cor.2011.11.014

Guzek, M., Varrette, S., Plugaru, V., Pecero, J., & Bouvry, P. (2013). A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment. In Energy Efficiency in Large Scale Distributed Systems (pp. 133-152). Springer.

Jiang, W., Li, Z., van Dam, T., & Ding, W. (2013). Comparative analysis of different environmental loading methods and their impacts on the GPS height time series. Journal of Geodesy, 87 (7), 687-703. doi:10.1007/s00190-013-0642-3

Muszynski, J., Varrette, S., & Bouvry, P. (2013). Expected Running Time of Parallel Evolutionary Algorithms on Unimodal Pseudo-Boolean Functions over Small-World Networks. In Proc. of the IEEE Congress on Evolutionary Computation (CEC'2013). Cancún, Mexico, Unknown/unspecified: IEEE. doi:10.1109/CEC.2013.6557881

Nielsen, S. S., Danoy, G., & Bouvry, P. (2013). Vehicular mobility model optimization using cooperative coevolutionary genetic algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '13) (pp. 1349-1356). ACM. doi:10.1145/2463372.2463539

Peters, B. (2013). Multi-physikalische Anwendungen mit der Extended Discrete Element Method (XDEM) [Paper presentation]. Invited lecture.

Peters, B. (2013). Simulation von reagierenden Mehrphasen- strömungen mit der Extended Discrete Element Method (XDEM) [Paper presentation]. ERCOFTAC Technologietag.

Peters, B. (2013). The extended discrete element method (XDEM) for multi-physics applications. Scholarly Journal of Engineering Research.

Peters, B. (2013). The Extended Discrete Element Method (XDEM) for Multi-Physics Applications [Paper presentation]. Swedish-Finnish Flame Days 2013.

Peters, B., Besseron, X., Estupinan Donoso, A. A., Hoffmann, F., Michael, M., & Mahmoudi, A. H. (2013). Application of the Extended Discrete Element Method (XDEM) in Computer-Aided Process Engineering [Paper presentation]. CAPE Forum 2013 Computer Aided Process Engineering.

Peters, B., Besseron, X., Estupinan Donoso, A. A., Hoffmann, F., Michael, M., & Mahmoudi, A. H. (2013). Enhanced Thermal Process Engineering by the Extended Discrete Element Method (XDEM). Universal Journal of Engineering Science, 1, 139-145.

Peters, B., Besseron, X., Estupinan Donoso, A. A., Hoffmann, F., Michael, M., Mahmoudi, A. H., Dziugys, A., & Vogel, F. (2013). Die Extended Discrete Element Method (XDEM) für multiphysikalische Anwendungen [Paper presentation]. 31. CADFEM User Meeting.

Schleich, J., Danoy, G., Dorronsoro, B., & Bouvry, P. (2013). An Overlay Approach for Optimising Small-World Properties in VANETs. In Proceedings of the 16th European Conference on Applications of Evolutionary Computation (EvoApplications) (pp. 32-41).

Schleich, J., Panchapakesan, A., Danoy, G., & Bouvry, P. (2013). UAV fleet area coverage with network connectivity constraint. In Proceedings of the 11th ACM International Symposium on Mobility Management and Wireless Access (MobiWac'13) (pp. 131-138). ACM. doi:10.1145/2508222.2508225

Stathakis, A., Danoy, G., Schleich, J., Bouvry, P., & Morelli, G. (2013). Minimising longest path length in communication satellite payloads via metaheuristics. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO '13 (pp. 1365-1372). ACM. doi:10.1145/2463372.2463535

Varrette, S., Danoy, G., Guzek, M., Besseron, X., & Bouvry, P. (2013). Using Data-flow analysis in MAS for power-aware HPC runs. In Proc. of the IEEE Intl. Conf. on High Performance Computing and Simulation (HPCS'13). IEEE Computer Society. doi:10.1109/HPCSim.2013.6641407

Varrette, S., Muszynski, J., & Bouvry, P. (September 2012). Hash function generation by means of Gene Expression Programming. Intl. Conf. on Cryptography and Security System (CSS’12), XII (3), 37 - 53.

Berryman, J., & Schilling, T. (2012). Free Energies by Thermodynamic Integration Relative to an Exact Solution, Used to Find the Handedness-Switching Salt Concentration for DNA. Journal of Chemical Theory and Computation. doi:10.1021/ct3005968

Bertholon, B., Varrette, S., & Bouvry, P. (2012). CERTICLOUD, une plate-forme Cloud IaaS sécurisée. Technique et Science Informatiques, 31 (8-9-10), 1121-1152. doi:10.3166/TSI.31.1121-1152

Danoy, G., Dorronsoro, B., & Bouvry, P. (2012). New State-of-the-art Results for Cassini2 Global Trajectory Optimization Problem. Acta Futura : The Journal of the Advanced Concepts Team, 5, 56 - 72.

Dorronsoro, B., & Bouvry, P. (2012). Study of Different Small-world Topology Generation Mechanisms for Genetic Algorithms. In IEEE Congress on Evolutionary Computation (pp. 1580 - 1587). IEEE. doi:10.1109/CEC.2012.6256543

Guzek, M., Diaz, C., Pecero, J., Bouvry, P., & Zomaya, A. Y. (2012). Impact of Voltage Levels Number for Energy-aware Bi-objective DAG Scheduling for Multi-processors Systems. In Advances in Information Technology: 5th International Conference, IAIT 2012, Bangkok, Thailand, December 6-7, 2012, Proceedings (pp. 70-80). Springer.

Iturriaga, S., Nesmachnow, S., & Dorronsoro, B. (2012). A Multithreading Local Search For Multiobjective Energy-Aware Scheduling In Heterogeneous Computing Systems. In European Conference on Modelling and Simulation (ECMS) (pp. 1 - 7).

Jimenez Laredo, J. L., Dorronsoro, B., Pecero, J., Bouvry, P., Durillo, J. J., & Fernandes, C. (2012). Designing a Self-organized Approach for Scheduling Bag-of-Tasks. In Designing a Self-organized Approach for Scheduling Bag-of-Tasks (pp. 315-320). doi:10.1109/3PGCIC.2012.28

Michael, M., Peters, B., & Vogel, F. (2012). Resolution of Different Length Scales by an Efficient Combination of the Finite Element Method and the Discrete Element Method. In B. H. V. Topping (Ed.), Proceedings of the Eleventh International Conference on Computational Structures Technology (pp. 249). Stirlingshire, United Kingdom: Civil-Comp Press. doi:10.4203/ccp.99.249

Nielsen, S. S., Dorronsoro, B., Danoy, G., & Bouvry, P. (2012). Novel efficient asynchronous cooperative co-evolutionary multi-objective algorithms. In Congress on Evolutionary Computation (CEC) (pp. 1-7). IEEE. doi:10.1109/CEC.2012.6252903

Pinel, F., Dorronsoro, B., Pecero, J., Bouvry, P., & Khan, S. U. (2012). A two-phase heuristic for the energy-efficient scheduling of independent tasks on computational grids. Cluster Computing. doi:10.1007/s10586-012-0207-x

Ruiz, P., Dorronsoro, B., Bouvry, P., & Tardon, L. J. (2012). Information Dissemination in VANETs based upon a Tree Topology. Ad Hoc Networks, 10 (1), 111-127. doi:10.1016/j.adhoc.2011.06.005

Ruiz, P., Dorronsoro, B., Valentini, G., Pinel, F., & Bouvry, P. (2012). Optimisation of the enhanced distance based broadcasting protocol for MANETs. Journal of Supercomputing, 62 (3), 1213-1240. doi:10.1007/s11227-011-0564-x

Stathakis, A., Danoy, G., Bouvry, P., & Morelli, G. (2012). Satellite Payload Reconfiguration Optimisation: An ILP Model. In Proceedings of the 4th Asian Conference on Intelligent Information and Database Systems (ACIIDS'12) (pp. 311-320). Springer.

Stathakis, A., Danoy, G., Veneziano, T., Schleich, J., & Bouvry, P. (2012). Optimising Satellite Payload Reconfiguration: An ILP Approach for Minimising Channel Interruptions. In 2nd ESA Workshop on Advanced Flexible Telecom Payloads (pp. 1-8). ESA.

Barrios Hernandez, C. J., Sierra, D. A., Varrette, S., & Pacheco, D. L. (2011). Energy Efficiency on Scalable Computing Architectures. In 11th IEEE Intl. Conf. on Computer and Information Technology (CIT’11) (pp. 635 - 640). IEEE. doi:10.1109/CIT.2011.108

Bertholon, B., Varrette, S., & Bouvry, P. (2011). CertiCloud: a Novel TPM-based Approach to Ensure Cloud IaaS Security. In 4th IEEE Intl. Conf. on Cloud Computing (CLOUD 2011) (pp. 121 - 130). IEEE Computer Society. doi:10.1109/CLOUD.2011.71

Varrette, S., Bertholon, B., & Bouvry, P. (2011). A Signature Scheme for Distributed Executions based on Control flow Analysis. In 19th Intl. conference on Security and Intelligent Information Systems (SIIS 2011) (pp. 85-95). Springer.

Bertholon, B., Varrette, S., & Bouvry, P. (2011). CertiCloud: une plate-forme Cloud IaaS sécurisée. RenPar'20 2011, 0-10.

Diaz, C., Guzek, M., Pecero, J., Bouvry, P., & Khan, S. U. (2011). Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems. In Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on (pp. 641-647). doi:10.1109/CIT.2011.106

Diaz, C., Guzek, M., Pecero, J., Danoy, G., Bouvry, P., & Khan, S. U. (2011). Energy-Aware Fast Scheduling Heuristics in Heterogeneous Computing Systems. In High Performance Computing and Simulation (HPCS), 2011 International Conference on (pp. 478-484). doi:10.1109/HPCSim.2011.5999863

Dorronsoro, B., & Bouvry, P. (2011). Adaptive Neighborhoods for Cellular Genetic Algorithms. Nature Inspired Distributed Computing (NIDISC) sessions of the International Parallel and Distributed Processing Symposium (IPDPS) 2011 Workshop, 383-389. doi:10.1109/IPDPS.2011.168

Dorronsoro, B., & Bouvry, P. (2011). Differential Evolution Algorithms with Cellular Populations. Lecture Notes in Computer Science, 6239, 320-330. doi:10.1007/978-3-642-15871-1_33

Dorronsoro, B., & Bouvry, P. (2011). Improving Classical and Decentralized Differential Evolution with New Mutation Operator and Population Topologies. IEEE Transactions on Evolutionary Computation, 15 (1), 67-98. doi:10.1109/TEVC.2010.2081369

Dorronsoro, B., & Bouvry, P. (2011). On the use of Small-world Population Topologies for Genetic Algorithms. In EVOLVE 2011 A bridge between Probability, Set Oriented Numerics and Evolutionary Computation (pp. 1-3).

Guzek, M., Pecero, J., Dorronsoro, B., & Bouvry, P. (2011). Energy-Aware Scheduling of Parallel Applications with Multi-Objective Evolutionary Algorithm. In EVOLVE 2011, A bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Bourglinster Castle, Luxembourg, May 25-27 2011 (pp. 1-4).

Ruiz, P., Dorronsoro, B., & Bouvry, P. (2011). Optimization and Performance Analysis of the AEDB Broadcasting Algorithm. In IEEE International Workshop on Wireless Mesh and Ad Hoc Networks (pp. 1-6). IEEE.

Varrette, S., Muszynski, J., & Bouvry, P. (2011). Cheating impact on distributed Evolutionary Algorithms over BOINC computations. In n Proc. of the 19th Intl. conference on Security and Intelligent Information Systems (SIIS 2011).

Varrette, S., Tantar, E., & Bouvry, P. (2011). On the Resilience of [Distributed] EAs against Cheaters in Global Computing Platforms. In 25th IEEE International Symposium on Parallel and Distributed Processing (IPDPS 2011) (pp. 409-417). IEEE. doi:10.1109/IPDPS.2011.179

Varrette, S., Tantar, E., & Bouvry, P. (2011). On the Resilience of [distributed] Evolutionary Algorithms against Cheaters in Global Computing Platforms. In Proc. of the 14th Intl. Workshop on Nature Inspired Distributed Computing (NIDISC 2011), part of the 25th IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS 2011). Anchorage (Alaska), United States: IEEE Computer Society.

Pecero, J., Varrette, S., & Bouvry, P. (October 2010). Scheduling DAG applications on multi-core processor packages architectures [Paper presentation]. International Conference on Metaheuristics and Nature Inspired Computing 2010, Tunisia.

Danoy, G., Gaspar Pinto, F., Dorronsoro, B., & Bouvry, P. (2010). Hybrid Cellular Genetic Algorithm for Global Trajectory Optimization Problem. In International Conference on Metaheuristics and Nature Inspired Computing (pp. 1-2).

Dorronsoro, B., Bouvry, P., & Alba, E. (2010). Iterated Local Search for de Novo Genomic Sequencing. Lecture Notes in Computer Science, 6114, 428-436. doi:10.1007/978-3-642-13232-2_52

Dorronsoro, B., Bouvry, P., Cañero, J. A., Maciejewski, A. A., & Siegel, H. J. (2010). Multi-objective Robust Static Mapping of Independent Tasks on Grids. In World Conference in Computational Intelligence (WCCI) (pp. 3389-3396). IEEE. doi:10.1109/CEC.2010.5586495

Dorronsoro, B., Cañero, J. A., Danoy, G., & Bouvry, P. (2010). A New Parallel Multi-objective Cooperative Coevolutionary Algorithm Based on SPEA2. In ALIO-INFORMS Joint International Meeting 2010 (pp. 1-2).

Guzek, M., Pecero, J., Dorronsoro, B., Bouvry, P., & Khan, S. U. (2010). A Cellular Genetic Algorithm for Scheduling Applications and Energy-Aware Communication Optimization. In Proceedings of the 2010 International Conference on High Performance Computing & Simulation (pp. 241-248). doi:10.1109/HPCS.2010.5547124

Dunlop, D., Varrette, S., & Bouvry, P. (September 2009). Deskilling HPL - Using an Evolutionary Algorithm to Automate Cluster Benchmarking. Proceedings of 8th Intl. conf. on Parallel Processing and Applied Mathematics (PPAM 2009), 6068 (LNCS), 102--114. doi:10.1007/978-3-642-14403-5

Guelton, S., & Varrette, S. (September 2009). Une approche génétique et source à source de l'optimisation de code [Paper presentation]. Proc. des 19ème rencontres francophones du parallélisme (RenPar'19).

Berhe, G., Peters, B., Varrette, S., & Bouvry, P. (2009). Parallel implementation of domain decomposition algorithm for molecular dynamics. In PARENG 2007 (pp. 1-19). Civil-Comp Press.

Danoy, G., Dorronsoro, B., & Bouvry, P. (2009). Overcoming partitioning in large ad hoc networks using genetic algorithms. In GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (pp. 1347–1354). ACM. doi:10.1145/1569901.1570082

Dorronsoro, B., Ruiz, P., Danoy, G., Bouvry, P., & Tardon, L. (2009). Towards Connectivity Improvement in VANETs using Bypass Links. Abstract book of 2009 IEEE Congress on Evolutionary Computation, 2201–2208. doi:10.1109/CEC.2009.4983214

Guelton, S., Gautier, T., Pazat, J.-L., & Varrette, S. (2009). Dynamic Adaptation Applied to Sabotage Tolerance. In Proc. of the IEEE 17th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2009) (pp. 237–244). IEEE Computer Society. doi:10.1109/PDP.2009.19