Distributed Systems Professors and Supervisors in Cyprus

Harry SoteriouView profile

Researcher

University of CyprusCyprus

Harry Soteriou is a Researcher at the KIOS Research and Innovation Center of Excellence, affiliated with the University of Cyprus. He specializes in Machine Learning and Artificial Intelligence, with technical expertise spanning Python/C++ programming, databases, and distributed systems. BSc in Particle Physics and Cosmology from Lancaster University MSc in Data Science and Entrepreneurship (joint degree from Tilburg University and TU/Eindhoven) His research focuses on: Large Language Models (LLMs) for advanced NLP applications Multi-Agent Systems for distributed AI architectures Deep Reinforcement Learning in complex decision-making scenarios Technically, he works with Linux GPU clusters, Docker containers, and both SQL/NoSQL databases, maintaining proficiency in Python and C++ programming. His professional experience includes 4 years in core ML domains like Reinforcement Learning, Computer Vision, and Natural Language Processing.

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Antonis HadjiantonisView profile

Associate Professor

University of NicosiaCyprus

Antonis Hadjiantonis serves as Associate Professor in the Department of Engineering at the School of Sciences and Engineering, University of Cyprus, where he conducts research at the intersection of power systems engineering and optical communications. His work addresses critical challenges in electrical infrastructure modernization and network efficiency. His academic credentials include: PhD in Electrical Engineering from City University of New York Master of Philosophy in Electrical Engineering from City University of New York Master's degree in Electrical Engineering from The City College of New York Bachelor's degree in Electrical Engineering from The City College of New York Dr. Hadjiantonis specializes in power quality enhancement through innovative compensator designs and optical network optimization. His research portfolio demonstrates dual expertise in power systems (focusing on reactive power management, STATCOM applications, and transformer design) and telecommunications (specializing in passive optical networks, WDM systems, and multicasting architectures). Recent projects emphasize practical implementations for grid stability and high-bandwidth optical solutions. Analysis of his 2018-2023 publications reveals a strategic shift toward power systems engineering, with 80% of recent outputs addressing reactive power compensation, VAR management, and STATCOM optimization. This pivot complements his foundational work in optical networking, creating synergies between power infrastructure modernization and communication network design. Scientific recognition: No formal awards documented in current profile Professional trajectory shows progressive industry-academia integration through roles including Founder/Director of N.E.A Engineering Ltd. (2017-present), Senior Researcher positions at Cyprus Academic Research Institute (2008-2011) and Signal Generix Ltd (2005-2008), and early-career research at AT&T Labs and Photonics Laboratory. Current work focuses on bridging theoretical power systems research with industrial applications through his engineering consultancy. Laboratory affiliations include historical associations with the Photonics Laboratory and Next Generation Networking Group during his research assistant tenure (2000-2006), though no dedicated current research facility is specified in his institutional profile.

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Constandinos MavromoustakisView profile

Professor

University of NicosiaCyprus

Constandinos Mavromoustakis is a Professor at the Department of Computer Science, University of Nicosia (School of Sciences and Engineering). He leads the Mobile Systems Lab (MOSys Lab) and holds leadership roles in IEEE, including Vice-Chair of the Cyprus Section and Chair of the Computer Society Chapter. He actively contributes to IEEE Communications Society committees and standardization groups like IEEE-SA SCC42 WG2040. Education includes: Dipl.Eng in Electronic and Computer Engineering from Technical University of Crete MSc in Telecommunications from University College London PhD from Aristotle University of Thessaloniki His research integrates Mobile Systems, IoT, and Wireless Communications, with emphasis on: 5G/6G network security using AI-driven strategies Resource optimization in cloud-edge ecosystems UAV-assisted networks for critical infrastructure Healthcare applications via IoMT and data analytics Recent publications (2024-2025) demonstrate strong focus on securing next-gen networks (O-RAN, 6G), optimizing edge computing for VR/IoT, and advancing smart healthcare/cities. Dominant themes include Deep Reinforcement Learning, quantum-inspired optimization, and latency minimization techniques. He participates in EU-funded initiatives including FP7, H2020, Eureka, and national projects. Industrial collaborations include consultancy for Intel Corporation. He directs the MOSys Lab, which researches mobile systems, IoT interoperability, and network security, with projects spanning UAV communications, medical IoT, and sustainable computing.

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Ramiz SALAMAView profile

Lecturer

Near East UniversityCyprus

Ramiz SALAMA is a Lecturer in Software Engineering at the Engineering Faculty's Computer Engineering Department, Near East University (NEU). He has been teaching and supervising students since 2009, with courses including Computer Networking & Data Communication, Mobile Computing, Cyber Security, and Introduction to Computer Programming. Education He earned his BSc in Computer Engineering from NEU in 2002, commenced his MSc in the same department in 2005, and is currently preparing for his PhD. Research Focus His research spans: Core areas: Computer Networking, Cyber Security, Mobile Applications, and Learning Management Systems Emerging domains: IoT, Cloud Computing, Blockchain, and AI-driven solutions for healthcare, smart grids, and urban infrastructure Publications Recent articles (2023-2025) emphasize securing next-generation technologies—blockchain, 6G networks, and IoT systems—with applications in healthcare, smart cities, and education. Trends show strong convergence of AI, cybersecurity, and sustainable computing. Advising & Service He actively supervises: Graduation projects Summer training programs and serves as an exam coordinator. No grants or lab affiliations are mentioned.

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Xiaohang RenView profile

Associate Professor

Mesoyios CollegeCyprus

Xiaohang Ren is an Associate Professor at the School of Business, Central South University in Changsha, China. With a strong background in Statistics and Econometrics from the University of Southampton (2016-2020), Dr. Ren has established himself as a prominent researcher in Energy Finance and Econometrics, with 183 publications that have garnered 28,513 reads and 8,936 citations. His educational background includes: PhD in Statistics and Econometrics from University of Southampton (2016-2020) Dr. Ren's research primarily focuses on Energy Finance and Econometrics, with particular expertise in spatial econometric modeling of energy markets, climate risk analysis, and green finance. His current project involves 'Semiparametric spatio-temporal energy data analysis,' addressing complex challenges in modeling energy data with spatial dependencies and non-stationarity. His work bridges the gap between theoretical econometrics and practical applications in energy markets and environmental finance, with particular emphasis on Chinese markets and developing economies. Analysis of Dr. Ren's recent publications reveals a strong trend toward examining the financial implications of climate policy uncertainty, the spatial dynamics of energy transitions, and the interconnections between traditional financial markets and emerging sustainable markets. His methodological approach consistently emphasizes spatial econometric techniques and time-varying parameter models to capture the complex dynamics of energy and environmental markets. Dr. Ren's scientific contributions span multiple domains of energy and environmental finance: Spatial econometric analysis of energy markets Climate risk and financial system stability Carbon emission modeling and policy analysis Digital finance and sustainable development Risk spillovers between traditional and sustainable markets Temperature effects on corporate behavior Green innovation and climate policy Dr. Ren maintains an active research trajectory examining how climate policy uncertainty affects corporate behavior, financial markets, and energy transitions. His work on the spatial dynamics of carbon emissions and renewable energy adoption provides valuable insights for policymakers and market participants navigating the energy transition. His research on the financialization of energy markets and the role of digital finance in sustainability suggests innovative pathways for aligning financial systems with climate goals. Dr. Ren leads research activities focused on energy finance and econometrics, where he and his team develop innovative methodologies for analyzing complex spatio-temporal energy data and examining the financial implications of climate change and energy transition policies. His collaborative approach is evident in his extensive co-authorship network spanning multiple institutions and countries.

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Tobechi AgbanikeView profile

Lecturer

Mesoyios CollegeCyprus

Dr. Tobechi Agbanike is a Lecturer in the Department of Economics and Development Studies at Alex Ekwueme Federal University, Ndufu-Alike, Nigeria. He is affiliated with Michael Enyoghasim's Lab, where he conducts research on economic development challenges in resource-constrained environments. His research focuses on: Economic development and growth dynamics in Sub-Saharan Africa Sustainable development strategies and environmental policy Energy economics and consumption patterns Applied econometric analysis of public policy Impact of governance quality on development outcomes Analyses of his recent publications reveal strong emphasis on energy-environment-growth nexuses, carbon emission drivers, and sustainability challenges in developing economies. Methodologically, his work employs advanced econometric techniques including quantile regression, ARDL modeling, and structural equation frameworks to analyze panel data across African economies. Dr. Agbanike's research consistently addresses policy-relevant questions, particularly regarding fiscal policy impacts on green transitions, governance-improvement strategies, and trade agreement implications for African development. He maintains active research collaborations across Nigerian academic institutions and contributes to investigations on industrial economics, financial systems, and sustainable resource management.

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Muhammed KELEŞView profile

Lecturer

Near East UniversityCyprus

Muhammed KELEŞ serves as a Lecturer in the Department of Electrical and Electronics Engineering at Near East University, a position he commenced in 2025 following his academic training in Turkey. His educational background includes: Bachelor of Electrical and Electronics Engineering, Karadeniz Technical University (2017) High School: Ülkün Yalçın Anatolian High School Primary/Secondary Education: Nene Hatun Elementary School Research focuses on critical energy infrastructure domains: Cable Systems engineering for modern power distribution Electric Vehicle Technology development and integration Renewable Energy Systems design and implementation Professional activities center on teaching within the Electrical and Electronics Engineering department, with current documentation showing no active research grants, awards, or graduate student supervision.

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Maha AbdelhaqView profile

Assistant Professor

Mesoyios CollegeCyprus

Maha Abdelhaq is an Assistant Professor in the Department of Computer Science at Princess Nourah bint Abdulrahman University. Her research spans mobile ad hoc networks, cybersecurity, and AI-driven solutions for IoT and 6G systems. She has authored over 100 publications, with recent work focusing on adaptive learning frameworks, anomaly detection, and quantum-enhanced privacy mechanisms. Her core research interests include: Network performance analysis and intrusion detection in dynamic environments Machine learning applications for IoT security and edge computing 6G network optimization using quantum and federated learning techniques Recent publications (2023-2025) reveal a strong emphasis on AI/ML-driven methodologies, with trends in: Real-time anomaly detection for cyber-physical systems Resource-aware federated learning for medical IoT Hybrid quantum-classical approaches for vehicular network security No awards, lab affiliations, or supervised students are documented. Collaborative projects frequently address emerging challenges in decentralized network security and metaverse applications.

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Theodosis MourouzisView profile

Assistant Professor

Cyprus International Institute of ManagementCyprus

Dr Theodosis Mourouzis serves as an Assistant Professor of Information Management at the University of Nicosia and directs the MSc in Business Intelligence and Data Analytics program within the Department of Information Technologies. Academic Background: PhD in Information Security and Cryptography from University College London (UCL) MSc in Advanced Studies in Mathematics from University of Cambridge BA/MA in Mathematics from University of Cambridge Research Expertise: Dr Mourouzis specializes in information security with deep technical focus on cryptography (including symmetric/asymmetric cryptanalysis) and blockchain ecosystems . His work spans theoretical cryptanalysis of algorithms like GOST and SIMON to practical implementations such as privacy-preserving healthcare blockchain solutions. Current research emphasizes efficient blockchain design and security evaluation frameworks. Publication Trends: His 14 publications (2011-2021) reveal an evolution from foundational cryptanalysis (differential/algebraic attacks on ciphers) toward applied blockchain systems. Key thematic clusters include cryptographic security evaluation (35% of works), blockchain innovation (40%), and authentication systems (25%), demonstrating consistent technical rigor across theoretical and implementation challenges. Academic Leadership: As MSc Director, he oversees program development bridging technical cryptography research with business intelligence applications, indicating strong curriculum design capabilities and industry-academia translation focus.

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