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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.

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

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

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.

• Computer Networking
• Cyber Security
• Mobile Applications Development
• +6 more

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.

• Mobile Ad Hoc Networks
• Intrusion Detection Systems
• Network Performance Analysis
• +4 more

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.

• Information Security
• Cryptography
• Blockchain
• +4 more