LAB COORDINATOR
Herodotos Herodotou, Ph.D.
Dr. Herodotos Herodotou is an Associate Professor in the Department of Electrical Engineering and Computer Engineering and Informatics at the Cyprus University of Technology. He received his Ph.D. in Computer Science from Duke University in May 2012. His Ph.D. dissertation work 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 and Database Systems. 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 in other domains like maritime, tourism, energy, social computing, environment, scientific computing, and bioinformatics. His research work has been published in several top scientific conferences and journals (e.g., PVLDB, SIGMOD, SoCC, CIDR), four books, and two book chapters. Learn more...
RESEARCH ASSOCIATES
Sheraz Aslam, PhD
Dr. Sheraz Aslam received his Ph.D. in Computer Engineering and Informatics from Cyprus University of Technology, Limassol, Cyprus, under the supervision of Dr. Herodotos Herodotou. Currently, Dr. Sheraz is a Postdoctoral Researcher at DICL Research Lab, Cyprus University of Technology, Limassol, Cyprus, where he is part of the European Union-funded research project aerOS. Previously, he worked on two nationally-funded research projects: STEAM and MARI-Sense. He has authored over 80 research publications in ISI-indexed international journals and conferences, including IEEE Internet of Things Journal, Renewable & Sustainable Energy Reviews, and Electric Power System Research. His research interests include intelligent shipping, data analytics, generative adversarial networks, wireless networks, smart grid, and cloud computing.
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.
Andreas Kouspos, PhD
Andreas Kouspos holds a Ph.D. in Maritime studies focusing on finance from the Department of Commerce, Finance and Shipping at Cyprus University of Technology. He is a Business Administration Program Coordinator at Cyprus College, a Lecturer in various Shipping and Economics modules, and a Project Manager at the MDigi-I project. His research interests lie in operations, risk, and return of global shipping companies. Before joining CUT, Andreas graduated from the University of Plymouth with an MSc in International Shipping. He also holds a BSc in Accounting and Finance from the University of Essex. Dr. Andreas is also a member of the Institute of Chartered Shipbrokers. He was awarded 1st prize winner for the shipping finance examination of ICS in May 2022 as the candidate achieving the highest marks worldwide. Dr. Andreas has also won the 1st prize in Let’s Talk Simple Science competition that took place in April 2016 at CUT with his presentation topic “Credit risk analysis of shipping loans”. He has also experience in the shipping industry for more than a year.
Nicos Evmides
Nicos Evmides holds an M.Sc. in Data Communication and Distributed Systems from University College London (UCL), UK, and a B.Sc. in Computer Science from the University of Indianapolis, USA. With a long-standing involvement in both Information Technologies and Business, Nicos is focusing on the research areas of data collection, data management, and data analysis methodologies aimed to address real-world business needs in the area of maritime informatics. He is currently working on the nationally-funded large infrastructure project, MDigi-I (Maritime Digitalization Research Infrastructure), while in the past, he worked on the STM (Sea Traffic Management Validation Project) and STEAM (Sea Traffic Management in the Eastern Mediterranean) projects.
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.
Ph.D. STUDENTS
Nicos Evmides
Research Topic: Employing Data-Driven Analytics for Improving the Efficiency of Maritime Operations
Research Interests: Distributed Systems; Smart Data Collection and Analysis; Maritime Information Management Systems; Data Analysis for Business Applications
George Savva
Research Topic: Machine Learning-based Management of Hybrid Distributed Data Storage Systems
Research Interests: Distributed Systems; Storage Systems; Machine Learning; Cache and Tiering Policies
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
M.Sc. STUDENTS
Angeliki Neofytou
Topic: Distributed Cloud Caching for Big Data Analytics Applications
Andreas Aristotelous
Topic: Predictive Maintenance of Container Handling Equipment
Georgios Baltatzidis
Topic: Analysis of Port Call Data Originating from Multiple Sources
Sijun Yu
Topic: Detection of Broken Seals on Containers from Video Recordings
B.Sc. STUDENTS
Vasilis Vasileiou
Topic: Optical Character Recognition of Container IDs from Video Recordings
PAST MEMBERS
Past Post-doc Researchers
Dr. Edson Ramiro Lucas Filho, Worked on the project "SMML: Storage Data Flow Management based on Machine Learning". Currently, a Senior Data Engineer at Sky Italia.
Ph.D. Graduates
Sheraz Aslam, Ph.D. 2022, Computational Intelligence Approaches for Optimizing Seaside Operations in Smart Ports
Michael A. Georgiou, Ph.D. 2020, Enabling Workload Scalability, Strong Consistency, and Elasticity with Transactional Database Replication
M.Sc. Students
Kiriaki Georgiou, M.Sc. 2024, Enhancing Hate Speech Detection through Transformer Models and Federated Learning
Arestis Kosta, M.Sc. 2024, Damage Detection of Container Surfaces from Video Recordings using YOLOv8
Nikos Papadopoulos, M.Sc. 2023, Spatiotemporal Prediction of Air Quality in Real Time throughout Cyprus
Stefanos G. Anastasiou, M.Sc. 2022, Intelligent Data Integration of Port Calls Data Originating from Multiple Sources
Tzioyntmprian T. Ramez, M.Sc. 2022, AIS-based Prediction of Vessel Arrival Times using Machine Learning Techniques
Synaisios Christou, M.Sc. 2020, Next-Generation Sequencing Pipeline Optimization using Apache Spark
Panagiotis Giangou, M.Sc. 2020, Streaming Detection of Cyberbullying in Social Media Using Supervised Classification Models
Dimitris Antoniou, M.Sc. 2020, Air Quality Modeling in Smart Cities with Wireless Sensor Network
Michael Panayiotou, M.Sc. 2018, Web Administration Interface for the Hihooi Database Replication Middleware
Theodoros Danos, M.Sc. 2018, SMACC: A Smart Cloud Caching System for Data-Intensive Applications
Omiros Polycarpou, M.Sc. 2018, MapReduce Task Scheduling over OctopusFS, a Storage-Aware Distributed File System
Υiangos N. Vitsaides, M.Sc. 2018, Key Performance Indicator Analysis for Port Collaborative Decision Making
B.Sc. Students
Mathaios Paraskeva, B.Sc. 2024, Visualization of Distributed Tiered Data Storage System Simulations
Sotiris Vasileiadis, B.Sc. 2024, Visualization of Distributed Tiered Data Storage System Optimizations
Andreas Markou, B.Sc. 2024, Chronos: Automated Timesheet Management for Research Projects
Andreas Efstathiou, B.Sc. 2023, A System Configuration Optimizer for Distributed Tiered Storage Systems
Marios Antoniou, B.Sc. 2023, Visualization of Computational Intelligence-based Berth Scheduling for the Port of Limassol
Maria Spyrou, B.Sc. 2023, Timesheet Management System for Research Projects
Menelaos Kotoglou, B.Sc. 2022, Streaming Neural Networks for Detecting Aggressive Behavior in Social Media
Christos Christodoulou, B.Sc. 2022, Monitoring and Detection of Ship Movements in Real Time Using AIS Data
Antonis Savvides, B.Sc. 2022, RESTful API for Real Time Monitoring and Warning of Environmental Conditions
Paulos Konstantinou, B.Sc. 2021, Ship Monitoring and Early Warning System Using AIS Data
Constantinos Christofi, B.Sc. 2021, Visualizing Ship Routes in Real Time using AIS Data
Theodoros Theodorou, B.Sc. 2019, Performance Optimizations for a Smart Cloud Caching System
Salomi Xatzimilti, B.Sc. 2019, A Data Analytics Platform for Environmental Health Data
Elizabeth Pieri, B.Sc. 2019, Real-time Monitoring of Ships using AIS Data
Charalampos Kozis, B.Sc. 2018, Cuttlefish: A Middleware Platform for Connecting Heterogeneous IoT Devices
Christodoulos Hayiannis, B.Sc. 2018, WorkOmics: A Data Management Platform for Environmental Health Studies
Nicolas Karmiris, B.Sc. 2017, Web Interface for OctopusFS, a Storage-Aware Distributed File System
Maria Hadjigeorgiou, B.Sc. 2017, JDBC Driver for Hihooi, a Replication-based Database Middleware System
Ioanna Kyriakou, B.Sc. 2017, Performance-based Recommendation Tool for Differentiating Storage Tiers
