Back
  1. Home
  2. Profile of Jorge Augusto MEIRA (Unilu)
Profil

MEIRA Jorge Augusto

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN

ORCID
0000-0002-4086-5784
Main Referenced Co-authors
STATE, Radu  (14)
GLAUNER, Patrick  (9)
LE TRAON, Yves  (6)
Almeida, Eduardo Cunha (4)
Bettinger, Franck (4)
Main Referenced Keywords
Non-technical losses (4); Machine learning (3); big data (2); Covariate shift (2); databases (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Services and Data management research group (SEDAN) (2)
Main Referenced Disciplines
Computer science (26)

Publications (total 26)

The most downloaded
1202 downloads
GLAUNER, P., MEIRA, J. A., STATE, R., & Mano, R. (September 2017). Introduction to Detection of Non-Technical Losses using Data Analytics [Paper presentation]. 7th IEEE Conference on Innovative Smart Grid Technologies, Europe (ISGT Europe 2017), Torino, Italy. https://hdl.handle.net/10993/32255

The most cited

175 citations (Scopus®)

GLAUNER, P., MEIRA, J. A., VALTCHEV, P., STATE, R., & Bettinger, F. (2017). The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. International Journal of Computational Intelligence Systems, 10 (1), 760-775. doi:10.2991/ijcis.2017.10.1.51 https://hdl.handle.net/10993/30029

GUPTA, P., DEVANAND, D., STATE, R., MEIRA, J. A., IANNILLO, A. K., & Danilo D’Aversa. (2025). Modelling Electric Vehicle Routing Problem with Heterogeneous Fleet for Simultaneous Pickup and Delivery. In Modelling Electric Vehicle Routing Problem with Heterogeneous Fleet for Simultaneous Pickup and Delivery. Springer, Cham. doi:10.1007/978-3-031-83885-9_11
Editorial reviewed

Pedrozo, D. A., GUPTA, P., MEIRA, J. A., & Silva, F. (2025). Integrating Machine Learning and Optimisation to Solve the Capacitated Vehicle Routing Problem. In R. Schlosser (Ed.), Proceedings of the 14th International Conference on Operations Research and Enterprise Systems. Science and Technology Publications, Lda. doi:10.5220/0013165900003893
Peer reviewed

SCHEIDT DE CRISTO, F., EISENBARTH, J.-P., MEIRA, J. A., & STATE, R. (November 2024). Causal AI for XRPL/GossipSub network configuration [Paper presentation]. 20th International Conference on Network and Service Management, Prague, Czechia.
Peer reviewed

SCHEIDT DE CRISTO, F., MEIRA, J. A., EISENBARTH, J.-P., & STATE, R. (2024). A 9-dimensional Analysis of GossipSub over the XRP Ledger Consensus Protocol. IEEE/IFIP Network Operations and Management Symposium.
Peer reviewed

CARVALHO OTA, F. K., MEIRA, J. A., FRANK, R., & STATE, R. (2020). Towards Privacy Preserving Data Centric Super App. In F. K. CARVALHO OTA, J. A. MEIRA, R. FRANK, ... R. STATE, 2020 Mediterranean Communication and Computer Networking Conference, Arona 17-19 June 2020. Arona, Italy: IEEE. doi:10.1109/MedComNet49392.2020.9191550
Peer reviewed

CARVALHO OTA, F. K., MEIRA, J. A., CASSAGNES, C., & STATE, R. (2020). Mobile App to SGX Enclave Secure Channel. In 2019 IEEE International Symposium on Software Reliability Engineering Workshops. doi:10.1109/ISSREW.2019.00081
Peer reviewed

Kepe, T. R., Almeida, E. C., Alves, M. A. Z., & MEIRA, J. A. (2019). Database Processing-in-Memory: A Vision. In Database Processing-in-Memory: A Vision (pp. 418-428).
Peer reviewed

Pena, E. H. M., FALK, E., MEIRA, J. A., & Almeida, E. C. (2018). Mind Your Dependencies for Semantic Query Optimization. Journal of Information and Data Management.
Peer reviewed

Dominico, S., Almeida, E. C., MEIRA, J. A., & Alves, M. A. Z. (2018). An Elastic Multi-Core Allocation Mechanism for Database Systems. In International Conference on Data Engineering (ICDE). doi:10.1109/ICDE.2018.00050
Peer reviewed

GLAUNER, P., MEIRA, J. A., & STATE, R. (2018). Detection of Irregular Power Usage using Machine Learning [Paper presentation]. IEEE Conference on Innovative Smart Grid Technologies, Asia (ISGT Asia 2018), Singapore.

GLAUNER, P., MEIRA, J. A., & STATE, R. (2018). Machine Learning for Data-Driven Smart Grid Applications [Paper presentation]. IEEE Conference on Innovative Smart Grid Technologies, Asia (ISGT Asia 2018), Singapore.

GLAUNER, P., MIGLIOSI, A., MEIRA, J. A., VALTCHEV, P., STATE, R., & Bettinger, F. (2017). Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? In Proceedings of the 19th International Conference on Intelligent System Applications to Power Systems (ISAP 2017).
Peer reviewed

GLAUNER, P., MEIRA, J. A., STATE, R., & Mano, R. (September 2017). Introduction to Detection of Non-Technical Losses using Data Analytics [Paper presentation]. 7th IEEE Conference on Innovative Smart Grid Technologies, Europe (ISGT Europe 2017), Torino, Italy.

Dominico, S., Almeida, E. C. D., & MEIRA, J. A. (15 May 2017). A PetriNet Mechanism for OLAP in NUMA [Poster presentation]. Thirteenth International Workshop on Data Management on New Hardware (DaMoN 2017).

GLAUNER, P., MEIRA, J. A., VALTCHEV, P., STATE, R., & Bettinger, F. (2017). The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. International Journal of Computational Intelligence Systems, 10 (1), 760-775. doi:10.2991/ijcis.2017.10.1.51
Peer Reviewed verified by ORBi

GLAUNER, P., DU, M., Paraschiv, V., BOYTSOV, A., Lopez Andrade, I., MEIRA, J. A., VALTCHEV, P., & STATE, R. (2017). The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. In Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017).
Peer reviewed

MEIRA, J. A., GLAUNER, P., STATE, R., VALTCHEV, P., DOLBERG, L., Bettinger, F., & Duarte, D. (2017). Distilling Provider-Independent Data for General Detection of Non-Technical Losses. In Power and Energy Conference, Illinois 23-24 February 2017.
Peer reviewed

GLAUNER, P., Dahringer, N., Puhachov, O., MEIRA, J. A., Valtchev, P., STATE, R., & Duarte, D. (2017). Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations. In Proceedings of the 17th IEEE International Conference on Data Mining Workshops (ICDMW 2017).
Peer reviewed

GLAUNER, P., MEIRA, J. A., Dolberg, L., STATE, R., Bettinger, F., Rangoni, Y., & Duarte, D. (2016). Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets. In Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing Applications and Technologies (BDCAT 2016). doi:10.1145/3006299.3006310
Peer reviewed

MEIRA, J. A., Almeira, E. C. D., KIM, D., Filho, E. R. L., & LE TRAON, Y. (2016). “Overloaded!” — A Model-based Approach to Database Stress Testing. In International Conference on Database and Expert Systems Applications, Porto 5-8 September 2016.
Peer reviewed

EL KATEB, D., FOUQUET, F., NAIN, G., MEIRA, J. A., Ackerman, M., & LE TRAON, Y. (March 2014). Generic Cloud Platform Multi-objective Optimization Leveraging Models@run.time [Paper presentation]. 29th Symposium On Applied Computing.

MEIRA, J. A., Almeida, E., & LE TRAON, Y. (2014). A state machine for database non-functional testing [Poster presentation]. 18th International Database Engineering & Applications Symposium.

MEIRA, J. A. (2014). MODEL-BASED STRESS TESTING FOR DATABASE SYSTEMS [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/20128

MEIRA, J. A., Almeida, E. C. D., Sunyé, G., LE TRAON, Y., & Valduriez, P. (2013). Stress Testing of Transactional Database Systems. Journal of Information and Data Management.
Peer reviewed

Fior, A. G., MEIRA, J. A., Almeida, E. C. D., Coelho, R. G., Del Fabro, M. D., & LE TRAON, Y. (2013). Under Pressure Benchmark for DDBMS Availability. Journal of Information and Data Management.
Peer reviewed

MEIRA, J. A., Almeida, E. C., LE TRAON, Y., & Sunye, G. (2012). Peer-to-Peer Load Testing. In Software Testing, Verification and Validation (ICST), 2012 IEEE Fifth International Conference on (pp. 642-647). IEEE. doi:10.1109/ICST.2012.153
Peer reviewed

Contact ORBilu