  | 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 |
 | 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. |
 | 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 |
 | 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 |
 | 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. |
 | 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 |
 | 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., 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 |
 | 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., 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 |
 | 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 |
 | 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 |