Moving Objects Analytics: Survey on Future Location & Trajectory Prediction Methods. - Harris V. Georgiou; Sophia Karagiorgou; Yannis Kontoulis; Nikos Pelekis; Petros Petrou; David Scarlatti; Yannis Theodoridis (CoRR, 2018)

Online Long-Term Trajectory Prediction Based on Mined Route Patterns. - Petros Petrou; Panagiotis Tampakis; Harris V. Georgiou; Nikos Pelekis; Yannis Theodoridis (MASTER@PKDD/ECML, 2019)

ARGO: A Big Data Framework for Online Trajectory Prediction. - Petros Petrou; Panagiotis Nikitopoulos; Panagiotis Tampakis; Apostolos Glenis; Nikolaos Koutroumanis; Georgios M. Santipantakis; Kostas Patroumpas; Akrivi Vlachou; Harris V. Georgiou; Eva Chondrodima; Christos Doulkeridis; Nikos Pelekis; et al. (SSTD, 2019)

Future Location and Trajectory Prediction. - Harris V. Georgiou; Petros Petrou; Panagiotis Tampakis; Stylianos Sideridis; Eva Chondrodima; Nikos Pelekis; Yannis Theodoridis (Big Data Analytics for Time-Critical Mobility Forecasting, 2020)

On Strengthening SMEs and MEs Threat Intelligence and Awareness by Identifying Data Breaches, Stolen Credentials and Illegal Activities on the Dark Web. - George Pantelis; Petros Petrou; Sophia Karagiorgou; Dimitrios Alexandrou (ARES, 2021)

Towards Platform-Agnostic and Autonomous Orchestration of Big Data Services. - Stavroula Iatropoulou; Petros Petrou; Sophia Karagiorgou; Dimitrios Alexandrou (BigDataService, 2021)

Weighted Load Balancing Mechanisms over Streaming Big Data for Online Machine Learning. - Petros Petrou; Sophia Karagiorgou; Dimitrios Alexandrou (EDBT/ICDT Workshops, 2021)

Towards Robustifying Image Classifiers against the Perils of Adversarial Attacks on Artificial Intelligence Systems. - Theodora Anastasiou; Sophia Karagiorgou; Petros Petrou; Dimitrios Papamartzivanos; Thanassis Giannetsos; Georgia Tsirigotaki; Jelle Keizer (Sensors, 2022)

MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data. - Christos Doulkeridis; Georgios M. Santipantakis; Nikolaos Koutroumanis; George Makridis; Vasilis Koukos; George S. Theodoropoulos; Yannis Theodoridis; Dimosthenis Kyriazis; Pavlos Kranas; Diego Burgos; Ricardo Jiménez-Peris; Mariana M. G. Duarte; et al. (IEEE Big Data, 2023)

Privacy-preserving Data Federation for Trainable, Queryable and Actionable Data. - Stavroula Iatropoulou; Theodora Anastasiou; Sophia Karagiorgou; Petros Petrou; Dimitrios Alexandrou; Thanassis D. Bouras (ICDEW, 2023)

Efficient and scalable crop growth simulations using standard big data and distributed computing technologies. - Rob Knapen; Allard de Wit; Eliya Buyukkaya; Petros Petrou; Dilli Paudel; Sander Janssen; Ioannis N. Athanasiadis (Comput. Electron. Agric., 2025)