Herodotos Herodotou, Ph.D.

Dr. Herodotos Herodotou is an Assistant 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 are in 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 techniques in other areas like maritime informatics, smart power grid/microgrids, scientific computing, bioinformatics, and social computing. His research work to date has been published in several top scientific conferences and journals (e.g., PVLDB, SIGMOD, SoCC, CIDR), three books, and two book chapters. Learn more...


Edson Ramiro Lucas Filho, PhD

Edson Ramiro Lucas Filho received his Ph.D. (in June 2020) and M.Sc. from the University of Paraná, Brazil, under the supervision of Prof. Eduardo Cunha de Almeida. Before joining CUT, Edson was a post-doctoral researcher at the Scalable Database Systems group, University of Passau, Germany, led by Prof. Stefanie Scherzinger. Prior his Ph.D. studies he worked as a Software Engineer R&D at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. His research interests are in distributed systems, caching systems, distributed databases, data analytics, and data-intensive systems. He is funded by the "SMML: Storage Data Flow Management based on Machine Learning" project.

Nicos Evmides

Nicos Evmides holds a M.Sc. in Data Communication and Distributed Systems from University College London (UCL), UK and a B.Sc. in Computer Science from University of Indianapolis, USA. With a long-standing involvement in both Information Technologies and Business, Nicos is focusing in the research areas of data collection, data management, and data analysis methodologies aimed to address real world business needs in the maritime domain. He is funded by "Sea Traffic Management Validation Project" and "STEAM: Sea Traffic Management in the Eastern Mediterranean".

Sheraz Aslam

Sheraz Aslam received his M.Sc. degree in Computer Science with a specialization in energy optimization in smart grids from the COMSATS University Islamabad (CUI), Pakistan, in 2018. During his M.Sc. studies, he also worked as a Research Associate at CUI. He has authored more than 30 research publications in ISI-indexed international journals and conferences. His research interests include intelligent shipping, data analytics, generative adversarial networks, wireless networks, and smart grid/microgrids. He is funded by "STEAM: Sea Traffic Management in the Eastern Mediterranean" and "MARI-Sense: Maritime Cognitive Decision Support System".


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

Lambros Odysseos

Research Topic: Smart Resource Management in Distributed Stream Data Processing Systems

Research Interests: Data stream processing; Streaming machine learning; Data analytics and visualizations; Internet of Things (IoT); Deep convolutional generative adversarial networks

Sheraz Aslam

Research Topic: Intelligent Data Analysis and Decision Support in the Maritime Industry

Research Interests: Intelligent Shipping; Data Analytics; Generative Adversarial Networks; Wireless Networks; Smart Grid/Microgrids

Aristodemos Paphitis

Research Interests: Scalable Databases; Big Data Systems; Data Integration; Wireless Sensor Networks; IoT

Co-advised with Dr. Michael Sirivianos



Michail D. Boronikolas

Topic: A Data Management Framework for a Distributed Tiered Cloud Caching System

Georgia Zanti

Topic: Distributed Cloud Caching for Big Data Analytics Applications

Stefanos G. Anastasiou

Topic: Intelligent Data Integration of Port Calls Data Originating from Multiple Sources

Nikos G. Papadopoulos

Topic: Spatiotemporal Prediction of Air Quality in Smart Cities


Andreas Efstathiou

Topic: Data Management Algorithms for Distributed Tiered Storage Systems

Marios Antoniou

Topic: Berth Scheduling Visualization for the Port of Limassol

Styliani Nearchou

Topic: Real-time Detection and Correction of Ship Movements Using AIS Data

Maria Spyrou

Topic: Intelligent Timesheet Management for Research Projects


Past Post-doc Researchers

Elena Kakoulli, Worked in the project “Distributed Multi-tier Storage for Cluster Computing”. Currently, a Lecturer in Information Systems at Neapolis University Pafos

Ph.D. Graduates

Michael A. Georgiou, Ph.D. 2020, Enabling Workload Scalability, Strong Consistency, and Elasticity with Transactional Database Replication

M.Sc. Students

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

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

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