LAB COORDINATOR
Herodotos Herodotou, Ph.D.
Dr. Herodotos Herodotou is an Associate Professor in the Department of Electrical Engineering and Computer Science and Engineering at the Cyprus University of Technology, leading the Data Intensive Computing Research Lab. He received his Ph.D. in Computer Science from Duke University. His Ph.D. dissertation received the ACM SIGMOD Jim Gray Doctoral Dissertation Award Honorable Mention as well as the Outstanding Ph.D. Dissertation Award in Computer Science at Duke. Before joining CUT, he held research positions at Microsoft Research, Yahoo! Labs, and Aster Data, as well as software engineering positions at Microsoft and RWD Technologies. His research interests include large-scale Data Processing Systems, Database Systems, and Cloud Computing. In particular, his work focuses on ease of use, manageability, and automated tuning of both centralized and distributed data-intensive computing systems. In addition, he is interested in applying database and dataflow system techniques to other domains such as maritime informatics, smart tourism, energy, social computing, environmental informatics, and bioinformatics. His research has been published in several top scientific conferences and journals (e.g., PVLDB, SIGMOD, SoCC, CIDR), as well as in four books and two book chapters. Learn more...
RESEARCH ASSOCIATES
Marios Touloupou, PhD
Dr. Marios Touloupou is a software researcher, academic, and engineer with expertise in cloud computing, edge computing, IoT, AI, and blockchain. He holds a PhD from the University of Nicosia, where his research centered on performance assessment frameworks for distributed ledger technologies and blockchain. He has led research and innovation efforts in several EU-funded projects, focusing on cloud orchestration, AI-driven data management, and IoT integration. His current work as a postdoctoral researcher at the Cyprus University of Technology includes participation in the HYPER-AI project, where he is responsible for advancing AI-based solutions across the cloud continuum. In addition to his research, Dr. Touloupou is an adjunct lecturer at Neapolis University Paphos and the American University of Beirut - Mediterraneo, teaching distributed systems and programming languages.
Ekaterini Hadjisolomou, PhD
Dr. Ekaterini Hadjisolomou is a Postdoctoral Researcher at DICL Research Lab, Cyprus University of Technology, working on the nationally funded large infrastructure project, MDigi-I (Maritime Digitalization Research Infrastructure). In the past, she worked as a Postdoctoral Researcher for the CUT-funded MERMAID project as well as two nationally-funded projects, STEAM and MARI-Sense. Dr. Hadjisolomou specializes in modeling freshwater eutrophication using advanced machine and deep learning techniques such as artificial neural networks and Kohonen Self-Organizing Maps. She has a PhD in Geology, an MSc in Environmental Sciences, and a BSc in Mathematics.
Syed Mafooq Ul Hassan
Syed Mafooq Ul Hassan is a PhD student and Research Associate at the DICL Lab, Cyprus University of Technology. He is currently working on the EU-funded project HYPER-AI. He has a master's degree in Intelligent Critical Infrastructure Systems from the University of Cyprus and a bachelor's degree in electrical engineering from the National University of Computer and Emerging Sciences. Previously, he worked as a Research Engineer at the KIOS Center of Excellence, where he contributed to R&D projects such as PathoCERT and Oceanos, focusing on critical infrastructure systems. Mafooq's research interests include IoT, Edge and Cloud Computing, Machine Learning, Optimization, as well as Deep Learning and Computer Vision.
George Savva
George Savva is a PhD Candidate in Computer Science at the Cyprus University of Technology, as of September 2023, focusing on machine learning, data science, and distributed storage systems. He has a strong foundation in programming and software development, with proficiency in Java, Python, C++, and web technologies. George has excelled academically, securing a scholarship for his PhD studies based on his outstanding performance, and has received multiple awards during his studies from recognized bodies such as SEPAHK, ETEK, and Huawei Technologies. He is currently working on the nationally funded project, TRUST-ESG (Optimizing Transparency and Accuracy in State-of-the-Art AI-Powered ESG Reporting Approaches for SMEs).
Sotiris Vasileiadis
Sotiris Vasileiadis is an MSc student in Artificial Intelligence and Data Engineering and a Research Software Developer at the DICL Lab, Cyprus University of Technology. He holds a BSc in Computer Engineering and Informatics from the Cyprus University of Technology. He is currently working on the MDigi-I (Maritime Digitalization Research Infrastructure) project and previously worked on the aerOS project. Sotiris' research interests include Machine Learning, Computer Vision, IoT, web technologies, and more.
Ph.D. STUDENTS
Syed Mafooq Ul Hassan
Research Topic: Cognitive Computing Resources Management in the Cloud, Edge, and IoT Continuum
Research Interests: IoT, Edge, and Cloud Computing; Machine Learning; Optimization; Deep Learning; Computer Vision
George Savva
Research Topic: Federated Streaming Machine Learning for Cache and Tier Management in Distributed Data Storage Systems
Research Interests: Distributed Systems; Storage Systems; Machine Learning; Cache and Tiering Policies
M.Sc. STUDENTS
Zacharias Sandafi
Topic: Peer to Peer Data Caching for Cloud Storage
Angeliki Neofytou
Topic: Distributed Cloud Caching for Big Data Analytics Applications
Kyriakos Kichis
Topic: Optical Character Recognition of Container IDs from Video Recordings
Georgios Shali
Topic: Online Multi-Agent Reinforcement Learning Framework for Task Scheduling in the Cloud Continuum
Maria Cambouridou, Rodia Konstantinidou
Topic: Real-time prediction of air quality in smart cities
Dimitra Kerkidou
Topic: Explainable AI for Smart Tourism
B.Sc. STUDENTS
Nikoleta Kakoulidou, Christina Chrysostomou
Topic: Real-time Monitoring of Ship Traffic Using AIS Data
Florentia Chrysostomou
Topic: Visualization of Weather and Air Quality Forecast
Athanasios Papaspyrou
Topic: Business Intelligence Reporting for Port Call Processes in Smart Ports
ALUMNI
Past Post-doc Researchers
Dr. Sheraz Aslam. Worked on the projects "STEAM: Sea Traffic Management in the Eastern Mediterranean" (2019-21) and "MARI-Sense: Maritime Cognitive Decision Support System" (2022) during his PhD studies, and on the projects "aerOS: Autonomous, scalablE, tRustworthy, intelligent European meta Operating System for the IoT edge-cloud continuum" (2023-25) and "MDigi-I: Maritime Digitalization Research Infrastructure" (2025-26) as a post-doctoral researcher.
Dr. Edson Ramiro Lucas Filho. Worked on the project "SMML: Storage Data Flow Management based on Machine Learning" (2021-23).
Dr. Christoforos Andreou. Worked on the project "STEAM: Sea Traffic Management in the Eastern Mediterranean" (2020-21).
Past Researchers
Antreas Efstathiou. Worked on the project "SMML: Storage Data Flow Management based on Machine Learning" (2022-23).
Ph.D. Graduates
|
Name |
Year |
Topic | Nicos Evmides | 2025 | Exploiting AIS Data for Predicting Vessel Arrival Times and Trajectories: An Artificial Intelligence Approach | Sheraz Aslam | 2022 | Computational Intelligence Approaches for Optimizing Seaside Operations in Smart Ports | Michael A. Georgiou | 2020 | Enabling Workload Scalability, Strong Consistency, and Elasticity with Transactional Database Replication |
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M.Sc. Graduates
|
Name |
Year |
Topic | Mathaios Paraskeva | 2026 | KWEST: Kubernetes Workload Simulator and Replay Tool |
|---|---|---|
| Georgios Baltatzidis | 2025 | Resilient Port Operations in Cyprus: Evaluating the Impact of COVID-19 on Short Sea Shipping |
| Andreas Aristotelous | 2025 | Predictive Maintenance of Container Handling Equipment using Machine Learning |
| Sijun Yu | 2025 | Detection of Broken Seals on Containers from Video Recordings Based on YOLO model | Kiriaki Georgiou | 2024 | Enhancing Hate Speech Detection through Transformer Models and Federated Learning |
| Arestis Kosta | 2024 | Damage Detection of Container Surfaces from Video Recordings using YOLOv8 |
| Nikos Papadopoulos | 2023 | Spatiotemporal Prediction of Air Quality in Real Time throughout Cyprus |
| Stefanos G. Anastasiou | 2022 | Intelligent Data Integration of Port Calls Data Originating from Multiple Sources |
| Tzioyntmprian T. Ramez | 2022 | AIS-based Prediction of Vessel Arrival Times using Machine Learning Techniques |
| Synaisios Christou | 2020 | Next-Generation Sequencing Pipeline Optimization using Apache Spark |
| Panagiotis Giangou | 2020 | Streaming Detection of Cyberbullying in Social Media Using Supervised Classification Models |
| Dimitris Antoniou | 2020 | Air Quality Modeling in Smart Cities with Wireless Sensor Network |
| Michael Panayiotou | 2018 | Web Administration Interface for the Hihooi Database Replication Middleware |
| Theodoros Danos | 2018 | A Smart Cloud Caching System for Data-Intensive Applications |
| Omiros Polycarpou | 2018 | MapReduce Task Scheduling over OctopusFS, a Storage-Aware Distributed File System |
| Υiangos N. Vitsaides | 2018 | Key Performance Indicator Analysis for Port Collaborative Decision Making |
B.Sc. Graduates
|
Name |
Year |
Topic | Charalambos Vlachakis | 2026 | Financial Management for Research Projects and Proposals | Elena Chimonidi | 2026 | Forecasting Air Quality Conditions in Real Time | Michael Aggelos Alexandrou | 2026 | Enhancing the CUT Environmental Monitoring Platform: Bridging Spatial Sparsity with Satellite-Derived Earth Observations | Maria Rotsidi | 2026 | Optimization of Berthing and Quay Crane Allocation using the Cuckoo Search Algorithm and Visual Analytics | Theodosis Xenophontos | 2026 | PortSight: Port Call Data Visualization for Real-time Situation Awareness | Vasilis Vasileiou | 2025 | ContOCR: Optical Character Recognition of Container IDs from Video Recordings | Mathaios Paraskeva | 2024 | Visualization of Distributed Tiered Data Storage System Simulations | Sotiris Vasileiadis | 2024 | Visualization of Distributed Tiered Data Storage System Optimizations | Andreas Markou | 2024 | Chronos: Automated Timesheet Management for Research Projects | Andreas Efstathiou | 2023 | A System Configuration Optimizer for Distributed Tiered Storage Systems | Marios Antoniou | 2023 | Visualization of Computational Intelligence-based Berth Scheduling for the Port of Limassol | Maria Spyrou | 2023 | Timesheet Management System for Research Projects | Menelaos Kotoglou | 2022 | Streaming Neural Networks for Detecting Aggressive Behavior in Social Media | Christos Christodoulou | 2022 | Monitoring and Detection of Ship Movements in Real Time Using AIS Data | Antonis Savvides | 2022 | RESTful API for Real Time Monitoring and Warning of Environmental Conditions | Paulos Konstantinou | 2021 | Ship Monitoring and Early Warning System Using AIS Data | Constantinos Christofi | 2021 | Visualizing Ship Routes in Real Time using AIS Data | Theodoros Theodorou | 2019 | Performance Optimizations for a Smart Cloud Caching System | Salomi Xatzimilti | 2019 | A Data Analytics Platform for Environmental Health Data | Elizabeth Pieri | 2019 | Real-time Monitoring of Ships using AIS Data | Charalampos Kozis | 2018 | Cuttlefish: A Middleware Platform for Connecting Heterogeneous IoT Devices | Christodoulos Hayiannis | 2018 | WorkOmics: A Data Management Platform for Environmental Health Studies | Nicolas Karmiris | 2017 | Web Interface for OctopusFS, a Storage-Aware Distributed File System | Maria Hadjigeorgiou | 2017 | JDBC Driver for Hihooi, a Replication-based Database Middleware System | Ioanna Kyriakou | 2017 | Performance-based Recommendation Tool for Differentiating Storage Tiers |
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