Manolis Pitsikalis Senior researcher @ CER Group, Institute of Informatics and Telecommunications, National Centre for Scientific Research "Demokritos", Athens, Greece E-mail: manospits+AT-iit.demokritos.gr

AI/ML, complex event processing, event definition languages, temporal logics

• M. Pitsikalis, A. Lisitsa and P. Totzke. 2023. Handling of Past and Future with Phenesthe+. Fourteenth International Symposium on Games, Automata, Logics, and Formal Verification 2023. DOI:10.4204/EPTCS.390.3
• P. Mantenoglou, M. Pitsikalis and A. Artikis. 2022. Stream Reasoning with Cycles. In Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning — Applications and Systems. DOI:10.24963/kr.2022/56
• M. Pitsikalis, A. Lisitsa and S. Luo. 2022. Representation of Temporal Phenomena. Times, Events and Logical Specification (TELS) 2022.
• M. Pitsikalis, A. Lisitsa, P. Totzke and Simon Lee. 2022. Making Sense of Heterogeneous Maritime Data. 2022 23rd IEEE International Conference on Mobile Data Management (MDM), Paphos, Cyprus, 2022, pp. 401-406, DOI:doi.org/10.1109/MDM55031.2022.00089.
• M. Pitsikalis, TT. Do, A. Lisitsa and S. Luo. 2022. Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract). In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence Sister Conferences Best Papers. DOI:10.24963/ijcai.2022/744
• M. Pitsikalis, TT. Do, A. Lisitsa and S. Luo. 2021. Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. In Proceedings of the 5th International Joint Conference on Rules and Reasoning (RuleML+RR 2021). Harold Boley award for most promising paper. DOI:10.1007/978-3-030-91167-6_14
• M. Pitsikalis, A. Lisitsa and S. Luo. 2021. Representation and Processing of Instantaneous and Durative Temporal Phenomena. In: De Angelis, E., Vanhoof, W. (eds) Logic-Based Program Synthesis and Transformation. LOPSTR 2021. Lecture Notes in Computer Science, vol 13290. Springer, Cham. DOI:10.1007/978-3-030-98869-2_8
• M. Pitsikalis and A. Artikis. 2021. Composite Maritime Event Recognition. Guide to Maritime Informatics. A. Artikis and D. Zissis, eds. Springer International Publishing. 233-260. (book)
• G. Fikioris, K. Patroumpas, A. Artikis, G. Paliouras, and M. Pitsikalis. 2020. Fine-Tuned Compressed Representations of Vessel Trajectories. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management (CIKM '20). Association for Computing Machinery, New York, NY, USA, 2429-2436. DOI:10.1145/3340531.3412706
• M. Pitsikalis, K. Bereta, M. Vodas, D. Zissis and A. Artikis 2020. Event Processing for Maritime Situational Awareness (MSA). Big Data Analytics for Time-Critical Mobility Forecasting: From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains. G.A. Vouros, G. Andrienko, C. Doulkeridis, N. Pelekis, A. Artikis, A.-L. Jousselme, C. Ray, J.M. Cordero, and D. Scarlatti, eds. Springer International Publishing. 255-274. (book)
• M. Zocholl, C. Iphar, M. Pitsikalis, A-L. Jousselme, A. Artikis, and C. Ray 2019. Evaluation of Maritime Event Detection Against Missing Data. Quality of Information and Communications Technology (QUATIC, 2019), 275-288.
• M. Pitsikalis, A. Artikis, R. Dreo, C. Ray, E. Camossi, and A-L. Jousselme. 2019. Composite Event Recognition for Maritime Monitoring. In Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems (DEBS '19). Association for Computing Machinery, New York, NY, USA, 163-174. DOI:10.1145/3328905.3329762
• M. Pitsikalis, I. Kontopoulos, A. Artikis, E. Alevizos, P. Delaunay, J-E. Pouessel, R. Dreo, C. Ray, E. Camossi, A-L. Jousselme, and M. Hadzagic. 2018. Composite Event Patterns for Maritime Monitoring. In Proceedings of the 10th Hellenic Conference on Artificial Intelligence (SETN '18). Association for Computing Machinery, New York, NY, USA, Article 29, 1-4. DOI:10.1145/3200947.3201042

• CIKM 2021, CIKM 2022, CIKM 2023, CIKM 2024, IEEE BigData 2024

• Phenesthe CEP system (github)
• WeiRules Classification (github)
• Run-Time CEF Model adaptation (github)