Find Academic Supervisors

• Robotics
• Artificial Intelligence
• Educational Technology
• +3 more

Pericles Leng Cheng is a Lecturer in the Department of Computer Science and Engineering at the European University Cyprus (School of Sciences). He holds a Doctor of Information Technology (Walden University, 2017) and dual M.Sc. and B.Sc. in Computer Science from the University of Texas at Austin (2003 and 2001). His research focuses on robotics applications in education, therapeutic systems, and aspect-oriented software development for embedded systems. He leads Cyprus' participation in international robotics competitions like Robotex and has contributed to EU-funded projects addressing energy efficiency and ubiquitous computing. Education: PhD: Information Technology, Walden University (2017) M.Sc.: Computer Science, University of Texas at Austin (2003) B.Sc.: Computer Science, University of Texas at Austin (2001) Key Contributions: Developed robotic systems for Constraint Induced Movement Therapy (CIMT) in children Advanced remote robotic experimentation platforms for STEM education Authored foundational studies on aspect-oriented programming for real-time embedded systems Professional Roles: Head of Technical Committee for Robotex Cyprus (Cyprus Computer Society) EU Project Researcher (FP6, Horizon 2020, Erasmus+) Academic Consultant for educational robotics competitions His research spans robotics applications across healthcare, education, and industry, with a focus on integrating emerging technologies into practical solutions. Recent work emphasizes autonomous systems in gaming environments and robotics competitions' pedagogical impact. Over 15 years of academic experience includes teaching, curriculum development, and fostering international collaboration in tech education.

Elena KakoulliView profile

Lecturer

• Computer Architecture
• On-Chip Interconnection Networks
• Photonics
• +5 more

Dr. Elena Kakoulli is a Lecturer in Information Systems and Coordinator of the MSc in Information Systems and Digital Innovation at the University of Nicosia. She holds a Ph.D. in Computer Engineering from Cyprus University of Technology (2015), following a Master’s in Computer Science (2009) and B.Sc. (2007) from the University of Cyprus. Her research focuses on computer architecture, photonics-based interconnection networks, cybersecurity, and AI-driven educational technologies. Notable contributions include work on resilient NoC architectures, distributed storage systems (OctopusFS), and silicon photonics integration for high-performance computing. Dr. Kakoulli’s research interests span network-on-chip (NoC) design, IoT security, and adaptive learning frameworks. She has collaborated on projects such as distributed tiered storage for cluster computing with Dr. Herodotou. Recognitions include awards from the University of Cyprus and Marfin Laiki Bank Foundation for academic excellence during her postgraduate studies. She has also contributed to teaching roles as a Teaching Assistant at the University of Cyprus and lecturer at Ctl Eurocollege, covering courses like computer architecture, compilers, and operating systems. Her publications highlight advancements in cybersecurity models, AI-integrated education tools, and next-generation computing architectures. She actively participates in academic conferences, including the 21st European, Mediterranean, and Middle Eastern Conference on Information Systems (EMCIS 2024), and has served as a Technical Program Committee member.

Theocharis TheocharidesView profile

Associate Professor

• Embedded Systems
• Hardware Acceleration
• Computer Vision
• +3 more

Theocharis (Theo) Theocharides is an Associate Professor and Department Chair at the University of Cyprus's Department of Electrical and Computer Engineering. He serves as Director of Research at the KIOS Research and Innovation Centre of Excellence. Holding a Ph.D. in Computer Science and Engineering from Pennsylvania State University, his research focuses on designing intelligent embedded systems with specialization in domain-specific architectures, reconfigurable hardware, and low-power embedded processors. He leads the Embedded and Application-Specific System-on-Chip Lab, conducting projects in mobile systems, tinyML, embedded computer vision, pattern recognition architectures, and intelligent system monitoring. His pioneering work includes hardware acceleration for real-time object detection and depth estimation in embedded vision systems for robotics and cyber-physical applications. Current investigations focus on hardware-friendly ML algorithms for tinyML, visual information extraction, and distributed embedded vision systems involving drone swarms and robotic networks. Professor Theocharides has authored over 130 publications and serves as Associate Editor for prestigious journals including ACM's Computing Surveys and IEEE Transactions on Computer-Aided Design. As Technical Programme Committee Chair for DATE 2025, he maintains active involvement in the research community.

Georgios StavrinidesView profile

Research Fellow

• Cyber-Physical Systems
• Edge-Cloud Computing
• Task Allocation and Scheduling
• +3 more

Georgios Stavrinides serves as a Post-Doctoral Fellow at the KIOS Research and Innovation Center of Excellence, University of Cyprus, a leading research hub for intelligent systems and networks. Since joining in September 2022, he has driven cutting-edge research in cyber-physical infrastructure while mentoring doctoral candidates and advancing the Center's strategic vision through committee leadership. His academic credentials include a PhD in Informatics from Aristotle University of Thessaloniki (2014), an MSc in Advanced Computing from Imperial College London (2007), and a BSc in Informatics from Aristotle University of Thessaloniki (2006). Prior to his current role, he held postdoctoral and research collaborator positions within Aristotle University's Department of Informatics from 2014 to 2022. Dr. Stavrinides' research program pioneers performance optimization in edge-cloud continuum systems, specializing in real-time task scheduling for distributed multi-tier environments and ensemble-based classification techniques for imbalanced datasets. These dual thrusts address critical challenges in smart infrastructure resilience and data-driven decision systems, with applications spanning power grids, transportation networks, and industrial IoT. His scholarly impact is underscored by three best paper awards at premier international conferences, reflecting exceptional contributions to distributed systems and machine learning. Best Paper Award Best Paper Award Best Paper Award Beyond research, he actively shapes KIOS's future as a supervisor of PhD candidates and through strategic committee roles in the KIOS Open Science Committee and KIOS Open Science Strategic Committee, directly contributing to the Center's 10-Year Strategic Plan implementation and open science initiatives.

Constandinos MavromoustakisView profile

Professor

• Internet of Things (IoT)
• Mobile and Wearable Computing
• Wireless Communications
• +3 more

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.