Journals

1. A. Protogerou, E. Kopsacheilis, A. Mpatziakas, K. Papachristou, T. Theodorou, St. Papadopoulos, A. Drosou, D. Tzovaras, "Time Series Network Data Enabling Distributed Intelligence. A Holistic IoT Security Platform Solution", Electronics 11, no. 4: 529, 2022. https://doi.org/10.3390/electronics11040529
2. T. Theodorou, A. Zamichos, M. Skoumperdis, A. Kougioumtzidou, K. Tsolaki, D. Papadopoulos, A. Patsios, G. Papanikolaou, A. Konstantinidis, A. Drosou, D. Tzovaras, "An AI-Enabled Stock Predic-tion Platform Combining News and Social Sensing with Financial Statements", Future Internet 13, no. 6: 138, 2021, https://doi.org/10.3390/fi13060138

Conference

1. D. Karanassos, C. Kyfonidis, G. Angelis, A. Emvoliadis, T. I. Theodorou, A. Zamichos, A. Drosou, D. Tzovaras, "SocioBee: A next-gen SC platform for citizens’ engagement to air pollution measuring.", IEEE International Smart Cities Conference (ISC2), 2023.
2. K. Papachristou, T. Theodorou, St. Papadopoulos, A. Protogerou, A. Drosou, D. Tzovaras, "Routing Policy Verification for Enhanced Energy Quality of Service and Security Monitoring in IoT Networks", 23rd Panhellenic Conference on Informatics (PCI 2019), Nicossia, Cyprus, 2019.
3. K. Papachristou, T. Theodorou, St. Papadopoulos, A. Protogerou, A. Drosou, D. Tzovaras, "Runtime and Routing Security Policy Verification for Enhanced Quality of Service of IoT Networks", Global IoT Summit (GIoTS 2019), Aarhus, Denmark, June 2019
4. A. Zamichos, T. Theodorou, A. Drosou, D. Tzovaras, "An Evacuation Management framework based on urban data & personalized mobility information", 4th IEEE International Conference on Big-Data computing service and Applications (IEEE BigDataService 2018), Bamberg, Germany, Mar. 2018.
5. A. Zamichos, T. Theodorou, A. Drosou, D. Tzovaras, "Personalized Evacuation Guidance in Urban Environments", in Proc. of the 8th International Congress on Transportation Research in Greece, Thesslaoniki, Greece, Sep. 2017.
6. T. Theodorou, A. Salamanis, D. Kehagias, D. Tzovaras, "Short-Term Traffic Prediction Under both Typical and Atypical Traffic Conditions using a Pattern Transition Model", 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, Porto, Portugal, 22-24 Ap. 2017.
7. A. Salamanis, T. Theodorou, D. Kehagias, D. Tzovaras, "A Regime-Switching Model for Short-Term Traffic Prediction under both Typical and Atypical Conditions", NIPS Workshop: Machine Learning for Spatiotemporal Forecasting, Spain, Dec. 2016.