Dr. Dimitrios Tomaras

tomaras.d@unic.ac.cy
https://www.linkedin.com/in/dtomaras/
Curriculum Vitae
Short Bio
Dr Dimitrios Tomaras is an Assistant Professor at University of Nicosia in Athens. Previously, he was a Post-Doctoral Researcher at Athens University of Economics and Business. Born and raised in Athens, Greece, studied Computer Science, holds a Master in Computer Science and a PhD in Urban Data Analytics and Applications in the Big Data Era. After his post-graduate studies, he has served as a Postdoctoral Fellow and Senior Researcher in Athens University of Economics and Business and National and Kapodistrian University of Athens. His research interests include Data Analysis in Computer Systems and Sensor Networks, Data Mining of urban and mobile data, Big Data Management in Parallel and Distributed Architectures, Big Data Analytics, Fairness and Explainability of AI/ML Systems. Dr Dimitrios Tomaras has extensive experience in European Projects (INCEPTION, NGHCS, AutoFair, CoDiet) where he has participated as a Postdoctoral Fellow, Quality Assurance Coordinator, Senior Researcher and Developer. He has published papers in International Conferences and Scientific Journals related to his areas of expertise (e.g. ACM/IFIP Middleware, DEBS, ICDCS, ICDE, IEEE MDM, IEEE BigData, EuroSys, Information Systems) and has co-organized a workshop of Fairness in AI/ML systems, FAIR’24@ICDE. According to Google Scholar, his research work has been cited so far 114 times in the literature and has an h-index=7. He has served the program committee of conferences (Mobiquitous, MDM, Euro-Par) and has also served as a chair from various organization positions in conferences (MDM, EuroSys, FAIR’24).
Research Interests
Data Analysis in Computer Systems and Sensor Networks, Data Mining of Urban and Mobile data, Big Data Management in Parallel and Distributed Architectures, Big Data Processing and Analytics, Fairness and Explainability of AI/ML Systems
Education
2015 – 2023 Ph.D. Computer Science, Department of Informatics, Athens University of Economics and Business.
Thesis title: Urban Data Analytics and Applications in the Big Data Era
(Supervisor: Prof. Vana Kalogeraki).
2012 – 2014 M.Sc. Computer Science, Department of Informatics, Athens University of Economics and Business.
Thesis title: A scalable index structure for participatory sensing data
(Supervisor: Prof. Vana Kalogeraki).
2007 – 2012 B.Sc. Computer Science, Department of Informatics and Telecommunications, National and Kapodestrian University of Athens.
Thesis title: Simple Data Replication Protocol in Unstructured Peer-to-Peer Networks
(Supervisor: Prof. Alexios Delis).
Employment History
May 2026 – Now Assistant Professor, University of Nicosia in Athens (UNIC Athens)
2014 – April 2026 Researcher, Athens University of Economics and Business and National, on the projects:
  • CoDiet: Combatting Diet Related Non-Communicable Disease Through Enhanced Surveillance (Horizon Europe) — [2023 – now]
    • Postdoctoral Fellow, Quality Assurance Coordinator and Senior Researcher
  • AutoFair: Human-Compatible Artificial Intelligence with Guarantees (Horizon Europe) — [2022 – 2025]
    • Postdoctoral Fellow, Quality Assurance Coordinator and Senior Researcher
    • Developer and maintainer of AutoFair’s automated toolkit
  • NGHCS: Creating the Next-Generation Mobile Human-Centered Systems (ERC) [2015–2018]
    • Researcher
  • INCEPTION: Incentives driven Participatory Sensing (European Social Fund ESF and Greek national funds through the Operational Program “Education and Lifelong Learning” of the NSRF — Research Funding Program: Aristeia — INCEPTION) — [2014]
    • Researcher
Aug. 2019 –
Feb. 2020		 Visiting Researcher. Competence Center Machine Learning Rhine-Ruhr, Technische Universität Dortmund (currently Lamarr Institute for Machine Learning and Artificial Intelligence).
  • Data Analysis and Modeling of warehouse data
Jul. 2020 –
Apr. 2021		 Military Service. Fulfilled military obligations for the Greek Army.
Teaching Experience
2015 – 2022 Teaching Assistant, Athens University of Economics and Business, on the undergraduate courses:
  • Distributed Systems: Spring Semester — [2015 – 2022]
  • Introduction to programming: Fall Semester — [2015]
  • Compilers: Fall Semester — [2021]
2023 – now Participation in Thesis Supervision, Athens University of Economics and Business, actively participated in the supervision process of theses at undergraduate and postgraduate level, providing mentoring, guidance on methodology, system implementation, and experimental evaluation in collaboration with students’ primary supervisor, Professor Vana Kalogeraki.
2023 – 2025 Guest Lectures, Athens University of Economics and Business, Master Programs, Thesis Presentation tailored to each course requirements
  • Distributed Systems, Big Data and Cloud Computing, MSc in Computer Science
  • Digital Infrastructure Technologies, MSc in Information Systems Development and Security
Publications (Citations: 126, h-index: 7)
Journal Articles
  1. 1
    Tomaras, D., Buschjäger, S., Kalogeraki, V., Morik, K., & Gunopulos, D. STRATA2.0: A Serverless Middleware for Machine Learning Training. Transactions on Parallel and Distributed Systems, TPDS. (submitted, 2026)
  2. 2
    Tomaras, D., Boutsis, I., & Kalogeraki, V. (2023). A holistic approach for modeling and predicting bike demand. Information Systems, 111, 102129.
Refereed Conference Proceedings
  1. 1
    Dadamis, P., Tomaras, D., Kalogeraki V., Gunopulos D., RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale. 32nd International European Conference on Parallel and Distributed Computing, August 24–28, Pisa, Italy, 2026.
  2. 2
    Kavouras, L., Psaroudaki, E., Tsopelas, K., Rontogiannis, D., Theologitis, N., Sacharidis, D., Giannopoulos, G., Tomaras, D., Markou, K., Gunopulos, D., Fotakis, D., & Emiris, I. GLANCE: Global Actions in a Nutshell for Counterfactual Explainability (poster). 40th Annual AAAI Conference on Artificial Intelligence, January 20–27, Singapore, 2026.
  3. 3
    Tomaras, D., Kalogeraki, V., Varytimidis, C., Anagnostopoulos, E., Nair, R., Daly, E. M., Marecek, J., & Gunopulos, D. AutoFairML: An Automated Middleware for Fairness Auditing in Real-world AI Pipelines. 45th IEEE International Conference on Distributed Computing Systems, ICDCS 2025, July 20–23, Glasgow, Scotland, UK. IEEE, 2025.
  4. 4
    Tomaras, D., Kalogeraki, V., & Gunopulos, D. Trustworthy Scheduling for Big Data Applications. 13th IEEE International Conference on Big Data (IEEE BigData), December 8–11, Macau SAR, China, 2025.
  5. 5
    Dadamis, P., Tomaras, D., Kalogeraki, V., & Gunopulos, D. IgNITE: Scheduling Pipeline-Parallel DNN Training Jobs on Heterogeneous Infrastructures. 19th ACM International Conference on Distributed and Event-based Systems, DEBS 2025, June 10–13, Gothenburg, Sweden. ACM, 2025.
  6. 6
    Tomaras, D., Buschjäger, S., Kalogeraki, V., Morik, K., & Gunopulos, D. STRATA: Random Forests going Serverless. 25th International Middleware Conference, MIDDLEWARE 2024, December 2–6, Hong Kong, SAR, China. ACM, 2024.
  7. 7
    Tomaras, D., Tsenos, M., Kalogeraki, V., & Gunopulos, D. TIMBER: On supporting data pipelines in Mobile Cloud Environments. 25th IEEE International Conference on Mobile Data Management, MDM 2024, June 24–27, Brussels, Belgium. IEEE, 2024.
  8. 8
    Tomaras, D. On Urban Data Analytics and Applications in the Big Data Era. 25th IEEE International Conference on Mobile Data Management, MDM 2024, June 24–27, Brussels, Belgium. IEEE, 2024.
  9. 9
    Peri, A., Tomaras, D., Kalogeraki, V., & Gunopulos, D. Pricefair: On fair scheduling of heterogeneous resources. 40th IEEE International Conference on Data Engineering, ICDE 2024 – Workshops, May 13–16, Utrecht, Netherlands. IEEE, 2024.
  10. 10
    Markou, K., Tomaras, D., Kalogeraki, V., & Gunopulos, D. A Framework for Feasible Counterfactual Exploration incorporating Causality, Sparsity and Density. 40th IEEE International Conference on Data Engineering, ICDE 2024 – Workshops, May 13–16, Utrecht, Netherlands. IEEE, 2024.
  11. 11
    Tomaras, D., Kalogeraki, V., Panagiotou, N., & Gunopulos, D. On energy-aware training of Deep Neural Networks in containerized environments (Poster). 19th European Conference on Computer Systems, EuroSys 2024, April 22–25, Athens, Greece, 2024.
  12. 12
    Poulis, A., Tomaras, D., Kalogeraki, V., & Gunopulos, D. AutoFair Toolkit: An automated tool for evaluating fairness in AI/ML models (Poster). 19th European Conference on Computer Systems, EuroSys 2024, April 22–25, Athens, Greece, 2024.
  13. 13
    Douka, E., Tomaras, D., & Gunopulos, D. On evaluating counterfactual explanations for ML models in distributed systems (poster). 19th European Conference on Computer Systems, EuroSys 2024, April 22–25, Athens, Greece, 2024.
  14. 14
    Markou, K., Tomaras, D., Kalogeraki, V., & Gunopulos, D. Feasibility in counterfactual explanations (Poster). 19th European Conference on Computer Systems, EuroSys 2024, April 22–25, Athens, Greece, 2024.
  15. 15
    Tomaras, D., Tsenos, M., & Kalogeraki, V. Prediction-driven resource provisioning for serverless container runtimes. IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2023, September 25–29, Toronto, ON, Canada. IEEE, 2023.
  16. 16
    Tomaras, D., Tsenos, M., & Kalogeraki, V. Practical Privacy Preservation in a Mobile Cloud Environment. 23rd IEEE International Conference on Mobile Data Management, MDM 2022, June 6–9, Paphos, Cyprus. IEEE, 2022.
  17. 17
    Tomaras, D., Tsenos, M., & Kalogeraki, V. A Framework for Supporting Privacy Preservation Functions in a Mobile Cloud Environment (Demo). 23rd IEEE International Conference on Mobile Data Management, MDM 2022, June 6–9, Paphos, Cyprus. IEEE, 2022.
  18. 18
    Tomaras, D., Kalogeraki, V., Liebig, T., & Gunopulos, D. Crowd-Based Ecofriendly Trip Planning. 19th IEEE International Conference on Mobile Data Management, MDM 2018, June 25–28, Aalborg, Denmark. IEEE Computer Society, 2018.
  19. 19
    Tomaras, D., Boutsis, I., & Kalogeraki, V. Modeling and Predicting Bike Demand in Large City Situations. 2018 IEEE International Conference on Pervasive Computing and Communications, PerCom 2018, March 19–23, Athens, Greece. IEEE Computer Society, 2018.
  20. 20
    Tomaras, D. Crowdsourcing techniques for smart urban mobility. 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, March 19–23, Athens, Greece. IEEE Computer Society, 2018.
  21. 21
    Tomaras, D., Kalogeraki, V., Zygouras, N., Panagiotou, N., & Gunopulos, D. Evaluating the Health State of Urban Areas Using Multi-source Heterogeneous Data. 19th IEEE International Symposium on “A World of Wireless, Mobile and Multimedia Networks”, WoWMoM 2018, June 12–15, Chania, Greece. IEEE Computer Society, 2018.
  22. 22
    Tomaras, D., Kalogeraki, V., Zygouras, N., & Gunopulos, D. An efficient technique for event location identification using multiple sources of urban data. 1st ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks, LocalRec@SIGSPATIAL 2017, November 7–10, Redondo Beach, CA, USA. ACM, 2017.
  23. 23
    Tomaras, D., Boutsis, I., & Kalogeraki, V. Lessons Learnt from the analysis of a bike sharing system. 10th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2017, June 21–23, Island of Rhodes, Greece. ACM, 2017.
  24. 24
    Tomaras, D., Boutsis, I., Kalogeraki, V., & Gunopulos, D. LOCAl: a personalized cache mechanism for location-based social networks. 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, October 31–November 3, Burlingame, CA, USA. ACM, 2016.
  25. 25
    Tomaras, D., Boutsis, I., & Kalogeraki, V. Travel time estimation in real-time using buses as speed probes. 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015, March 23–27, St. Louis, MO, USA. IEEE Computer Society, 2015.
  26. 26
    Boutsis, I., Tomaras, D., & Kalogeraki, V. Towards real-time emergency response using crowdsourcing. 7th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2014, May 27–30, Island of Rhodes, Greece. ACM, 2014.
Books and Chapters
  1. 1
    Tomaras, D. (2023). Urban data analytics and applications in the big data era [PhD thesis]. Athens University Economics and Business, Greece.
Conference Organization
Organizing Committee
2026 MDM’26, Local Organization Chair, IEEE International Conference on Mobile Data Management
2024 FAIR’24, Co-Organizer, 1st International Workshop on Fairness in AI, International Conference on Data Engineering, ICDE
2024 EuroSys’24, Publicity Chair, European Conference on Computer Systems
2024 EuroSys’24, Doctoral Session Chair, European Conference on Computer Systems
2024 MDM’24, Session Chair, IEEE International Conference on Mobile Data Management
Technical Program Committee Member
2026 MDM’26, IEEE International Conference on Mobile Data Management
2026 Euro-Par’26, European Conference on Parallel and Distributed Processing
2024 Mobiquitous’24, EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
2024 FAIR’24, International Conference on Data Engineering, ICDE
2023 Mobiquitous’23, EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
Grants
Awards and Grants
2024 Student Travel Grant, AUEB, Athens University of Economics and Business.
2022 Student Grant, GEC, 4th Summit on Gender Equality in Computing.
2021 Student Grant, ACSOS, IEEE International Conference on Autonomic Computing and Self-Organizing Systems.