Stelios Timotheou is an Associate Professor at the Department of Electrical and Computer Engineering and faculty member at the KIOS Research and Innovation Center of Excellence, University of Cyprus. He holds a Dipl-Ing from National Technical University of Athens, and MSc/PhD from Imperial College London. His research focuses on developing real-time distributed methodologies using mathematical optimization, machine learning, and computational intelligence to enhance efficiency in critical infrastructure systems. Research interests center on data-driven decision making for urban mobility management, traffic control systems, and energy optimization. Key areas include: Intelligent UAV-based sensing for traffic monitoring Cooperative control algorithms for multi-agent systems Optimization of renewable energy integration Robust infrastructure protection strategies Recent publications demonstrate strong focus on traffic state estimation (76%), energy system optimization (16%), and UAV applications (8%). Awarded the Cyprus Research Award (2017) and ERC Consolidator Grant for URANUS project. Secured multiple research grants focusing on real-time control systems.
Marios Polycarpou is a Professor of Electrical and Computer Engineering and Director of the KIOS Research and Innovation Center of Excellence at the University of Cyprus. He holds honorary positions at Imperial College London and is a member of Academia Europaea. His expertise spans intelligent systems, adaptive control, machine learning, and critical infrastructure. Education: B.A. Computer Science (Rice University, 1987) B.Sc. Electrical Engineering (Rice University, 1987) M.S. Electrical Engineering (University of Southern California, 1989) Ph.D. Electrical Engineering (University of Southern California, 1992) Research Focus: Polycarpou’s work emphasizes fault diagnosis in cyber-physical systems, water distribution networks, and adaptive control. He pioneers digital twin technologies for infrastructure resilience and develops algorithms for real-time anomaly detection and system optimization. Article Trends: His recent publications address adaptive control strategies, cybersecurity in networked systems, and AI-driven solutions for water management. Key themes include distributed control, event-triggered mechanisms, and transformer-based anomaly localization. Awards: 2023 IEEE Frank Rosenblatt Technical Field Award 2016 IEEE Neural Networks Pioneer Award Fellow of IEEE and IFAC Grants & Leadership: He secured prestigious grants including ERC Advanced and Synergy Grants. He led KIOS CoE’s Horizon 2020 projects and served as IEEE Computational Intelligence Society President (2012–2013). Labs & Teams: Directs the KIOS CoE, a hub for AI in critical infrastructure. Collaborates on projects like ERC Water-Futures, focusing on long-term water system transitions and contamination mitigation.
Panayiotis Kolios is an Assistant Professor at the Department of Computer Science, University of Cyprus (UCY). Previously, he served as a Research Assistant Professor at the KIOS Research and Innovation Centre of Excellence (2013–2024) and a Visiting Lecturer at UCY. He holds a BEng and PhD in Telecommunications Engineering from King’s College London (2008 and 2012, respectively). His research focuses on networked intelligent systems, emergency management using AI and UAV technologies, and cyber-physical systems. Education: BEng in Telecommunications Engineering, King’s College London, 2008 PhD in Telecommunications Engineering, King’s College London, 2012 Research Interests: His work centers on autonomous systems, intelligent transportation, and emergency management. Key areas include AI-driven disaster response, UAV-based surveillance, and algorithmic optimization for critical infrastructure. He develops solutions for real-time situational awareness and decision-support in emergencies. Recent work trends show a focus on multi-UAV coordination, disaster management platforms (like AIDERS), and AI applications in emergency response. His team’s 2023 win in the Cooperative Aerial Robots Inspection Challenge highlights advancements in UAV inspection algorithms. Scientific Awards: First Prize in Cooperative Aerial Robots Inspection Challenge (CDC 2023) Grants and Advising: He has secured over €40 million in EU and industrial grants, leading projects like PREDICATE, SWIFTERS, and AIDERS. His team advises on emergency response strategies and has trained first responders through EU-funded programs such as the Exchange of Experts training. Labs and Teams: He leads the Security and Emergency Response Group at KIOS CoE and established the Cyprus Civil Defence Aerial Observation Unit. His team collaborates with institutions like the Cyprus Police and Fire Service to operationalize UAV technologies in disaster scenarios.
Professor Ioannis Katakis is a Faculty Member at the University of Nicosia, where he is affiliated with the School of Sciences and Engineering and the Department of Computer Science. He has held various academic positions across multiple institutions including Aristotle University of Thessaloniki, University of Cyprus, Cyprus University of Technology, Open University of Cyprus, Hellenic Open University, Athens University of Economics and Business, and National and Kapodistrian University of Athens. His educational background includes a PhD in Machine Learning for Automated Text Classification (2005-2009), a Master's in Information Systems (2005-2007), and a Bachelor's in Computer Science (2000-2004), all from Aristotle University of Thessaloniki. Professor Katakis specializes in several cutting-edge areas of computer science and data analysis. His primary research interests include Mining Social, Web and Urban Data , Sentiment Analysis and Opinion Mining , Data Streams , and Multi-label Learning . His work bridges theoretical machine learning approaches with practical applications in social media analysis, healthcare informatics, privacy protection, and smart city technologies. He has published extensively in top venues including CIKM, ECML/PKDD, IEEE TKDE, and ECAI. His recent publications demonstrate a clear trend toward applying machine learning techniques to real-world problems with societal impact. He has focused on areas such as GDPR compliance in smart devices, sentiment analysis in crowd-sourced content, healthcare applications including drug reaction classification and brain disease monitoring, and privacy protection in wearable technologies. His work often involves multi-modal data analysis and addresses challenges in data streams and multi-label classification. Professor Katakis has made significant contributions to his field, with his research cited over 4,200 times. He serves as an Editor for the journal Information Systems and has edited four special issues in journals such as DAMI and InfSys. He regularly contributes to the academic community by serving on program committees for major conferences including ECML/PKDD, WSDM, DEBS, and IJCAI, and by reviewing for prestigious journals like TPAMI, DMKD, TKDE, TKDD, JMLR, TWEB, and ML. He has been actively involved in European research projects, notably serving as Quality Assurance Coordinator and Senior Researcher for projects such as VAVEL (www.vavel-project.eu) and INSIGHT (www.insight-ict.eu). His grant activities demonstrate a strong focus on collaborative, interdisciplinary research with practical applications in urban data management, social media analysis, and healthcare informatics. He has organized three workshops at major conferences (ICML, ECML/PKDD, EDBT/ICDT) and has extensive experience translating research into practical applications through his involvement in European projects.
Maria K. Michael is an Associate Professor at the Electrical and Computer Engineering Department (ECE), University of Cyprus, and a cofounding faculty member of the KIOS Center of Excellence. She leads the Center’s Education and Training activities and coordinates the MSc program in Intelligent Critical Infrastructure Systems, a collaboration between UCY, KIOS CoE, and Imperial College London. Her expertise spans dependability, security, and reliability in cyber-physical systems, embedded systems, and AI/ML optimization for edge intelligence. Education: BSc in Computer Science MSc in Computer Science Ph.D. in Engineering Sciences (Computer Engineering), Southern Illinois University, USA Research Focus: Hardware-enabled security, cyber-security in intelligent embedded systems, reliability of edge-based accelerators, and applications in smart grids, UAVs, robotics, and autonomous vehicles. Her work emphasizes safety-critical systems and resource-constrained environments. Grants & Team: Leads a 15-member research team (postdocs, PhD/MSc/BSc students). Funded by EU FP7, H2020, Horizon Europe, NSF, Intel Corp., and the Cyprus Research and Innovation Foundation. No scientific awards listed explicitly in provided text. Labs & Initiatives: Director of Education/Training at KIOS CoE; core contributor to the MSc program in Intelligent Critical Infrastructure Systems.
Professor Angelika Kokkinaki is Dean of the School of Business and MBA Director at the University of Nicosia. With a PhD in Computer Science from the University of Louisiana at Lafayette (1995), a M.Sc. from Northeastern University (1991), and a Diploma from Patras University (1987), her academic credentials are rooted in Information Systems and Computer Science. PhD in Computer Science (1995), University of Louisiana at Lafayette M.Sc. in Computer Science (1991), Northeastern University Diploma in Computer Engineering and Informatics (1987), University of Patras Her research spans e-business, e-government, e-learning, and smart city technologies, focusing on semantic search engines, distributed systems, and circular economy applications. Recent work emphasizes Smart Cities through projects like OpenDCO, CRISIS, and DEVOPS. Key article trends include smart city resilience, AI applications in education, e-learning adoption, marine sensor networks, and open data workforce development. Her scholarly output aligns with 6 UN Sustainable Development Goals , particularly in education, sustainability, and urban innovation. Scientific Awards : Innovation award by the Republic of Cyprus (for quality management system) She leads over 30 EU/national projects and contributes to the Center of Equality, Diversity, and Inclusion (CEDI) and OECD policy monitoring. Her work integrates Petri Net modeling , software agent systems, and 100+ publications in information systems.
Prof. Dr. Fadi AL-TURJMAN serves as the founding Dean of the Faculty of AI and Informatics at Near East University (NEU), Cyprus. He holds multiple leadership roles including Head of the Software Engineering Department and Director of the AI and Robotics Institute and the International Research Center for AI and IoT. With a PhD in Computer Science from Queen’s University (2011), he specializes in AIoT systems, wireless networks, and blockchain integration. Affiliation: Near East University Leadership: Founding Dean for AI and Informatics, Director of AI & Robotics Institute Research Focus: His work bridges Artificial Intelligence of Things (AIoT) , Blockchain Applications , and Smart Networking . He explores cybersecurity frameworks for smart cities, quantum state optimization techniques, and novel AI-driven solutions for healthcare, agriculture, and energy systems. Key Article Trends: Recent publications emphasize Transformer models for environmental monitoring, blockchain-enabled security protocols , and evolutionary algorithms for resource optimization. His research spans interdisciplinary domains including medical diagnostics, vehicular networks, and sustainable infrastructure. Scientific Awards: Lifetime Golden Award of Dr. Suat Gunsel (2022) Multiple Best Research Awards at International Venues Labs & Teams: Directs the International Research Center for AI and IoT at NEU, leading multidisciplinary teams in developing advanced networking technologies and AI-driven solutions for global value chain applications.
Klitos Christodoulou is an Assistant Professor in the Department of Digital Innovation at the University of Nicosia (UNIC), affiliated with the School of Business. He holds a PhD in Computer Science from the University of Manchester (2014), along with a BSc and MSc in Computer Science from the same institution. His research focuses on Distributed Ledger Technologies, Blockchain, Machine Learning, and Data Integration. He is a research faculty member at UNIC's Institute For the Future (IFF) since 2018 and actively contributes to ISO/TC 307 standards for Blockchain. Christodoulou has led projects like the Ripple grant and participated in EU initiatives such as EUNOMIA and DLT4ALL. He teaches blockchain courses in UNIC's MSc in Digital Currency program and serves on editorial boards, including Frontiers in Blockchain. His work explores blockchain governance, consensus algorithms, and ethical applications in supply chains. Education: BSc in Computer Science, University of Manchester (2006–2009) MSc in Advanced Computer Science, University of Manchester (2009–2010) PhD in Computer Science, University of Manchester (2010–2014) Research Interests: Blockchain and DLT architectures Machine Learning applications in finance and security Decentralized governance models Blockchain adoption frameworks Awards/Grants: Principal Investigator of the Ripple grant; EU-funded projects (EUNOMIA, DLT4ALL); contributor to Cyprus National Blockchain Strategy. Labs/Teams: Institute For the Future (IFF), University of Nicosia
Savvas G. Loizou is a faculty member at the Cyprus University of Technology , affiliated with the Department of Mechanical and Materials Science and Engineering . He established the Robotics, Control, and Decision Systems Laboratory (RCDS Laboratory) in 2011. Education: PhD in Mechanical Engineering (2005) and Eng. Diploma (2000) from National Technical University of Athens (NTUA). Postdoctoral Experience: GRASP Laboratory, University of Pennsylvania (2005–2007). His research focuses on control theory for autonomous robotic systems , with applications in underwater, aerial, ground, and micro-robotics . Key areas include multi-agent coordination , human-robot interaction , task planning , and sensor-based navigation . Recent work emphasizes logistics automation , UAV hardware platforms , and bounded control algorithms . Dr. Loizou has contributed to multi-agent formation control , underwater vision systems , and nonlinear model predictive control for electric vehicles. He is active in control system design and navigation transformations for complex environments. His laboratory, RCDS , serves as a hub for research in autonomous systems and decision-making algorithms.
Vasos Vassiliou is an Associate Professor in the Department of Computer Science at the University of Cyprus and Founding Academic Member & Research Group Leader at the Smart Networked Systems (SNS) Multidisciplinary Research Group within the CYENS Research Center. His work focuses on systems and protocols for improving network performance, reliability, and security in next-generation communication systems (5G/6G), with a strong emphasis on distributed AI/ML techniques, device-to-device (D2D) networking, IoT security, programmable metasurfaces, and intelligent network resource management. Department of Computer Science, University of Cyprus CYENS Research Center, Cyprus His research spans multiple subfields including D2D communication (interference management, device discovery), IoT security (blockchain solutions, intrusion detection), network optimization (traffic prediction, power management), and programmable metasurfaces for advanced beam steering. Recent projects like ERMIS (3D Indoor Positioning), ADROIT-6G (DAI-driven architecture), and METACITIES (digital twins/metaverse) demonstrate his leadership in cutting-edge research. His publications reveal a strong focus on distributed intelligence , machine learning applications , and security protocols across wireless systems. He has supervised multiple PhD students to completion and actively contributes to IEEE/ACM as Senior Member. IEEE Senior Member ACM Senior Member Teaching responsibilities include core courses like Computer Networks and specialized postgraduate modules on IoT Networks .
Antonis Savva serves as a Researcher at the KIOS Research and Innovation Center of Excellence, University of Cyprus, a role he has held since March 2020 focusing on computer vision applications for drone systems. His academic background includes: MEng in Electronics and Systems from the School of Electrical and Computer Engineering, National Technical University of Athens (2014) MSc in Management of Organizations and Entrepreneurship from the same institution (2018) PhD in medical data analysis from the School of Electrical and Computer Engineering, National Technical University of Athens (2019) Dr. Savva specializes in signal processing and computer vision with dual applications in medical imaging and autonomous systems. His doctoral work pioneered algorithms for aligning pre/post-operative CT scans in bone augmentation procedures, reconstructing panoramic jaw views, and quantifying dynamic brain region associations via fMRI analysis in both healthy and pathological states. Current research extends these methodologies to drone technology, emphasizing real-time visual data processing and pattern recognition for aerial applications. He operates within the KIOS Research and Innovation Center of Excellence, a specialized hub for intelligent systems and networks at the University of Cyprus driving cross-disciplinary innovation in computational methodologies.
Yannis Dimopoulos is a Professor in the Department of Computer Science at the University of Cyprus. He has previously held research positions at the Max-Planck Institute for Computer Science in Saarbrücken and the University of Freiburg in Germany. He earned his B.Sc. and Ph.D. in Computer Science from the Athens University of Economics and Business. His primary research interests include: Knowledge representation and reasoning Planning Nonmonotonic reasoning Constraint satisfaction Machine learning His recent research, based on publications from 2017 to 2024, focuses on the theoretical and computational aspects of abstract argumentation, particularly control argumentation frameworks, probabilistic extensions, and the integration of argumentation with Boolean networks and negotiation under incomplete information. He has also contributed significantly to Answer Set Programming (ASP) for planning, developing the plasp 3 framework for effective ASP-based planning solutions. His scholarly work appears in top-tier venues such as AAAI, IJCAI, ECAI, KR, AAMAS, and journals like Artificial Intelligence and Autonomous Agents and Multi-Agent Systems. His most frequent collaborators include Pavlos Moraitis, Jean-Guy Mailly, Antonis C. Kakas, and Wolfgang Dvorák. No scientific awards or honors are mentioned in the provided text. Yannis Dimopoulos has advised or collaborated with several researchers, including Jean-Guy Mailly, Pavlos Moraitis, Nabila Hadidi, and Muhammad Adnan Hashmi, though formal student-advisor relationships are not explicitly detailed. His work often involves theoretical and computational modeling, and while specific grants or funding sources are not listed, his sustained publication record suggests active research support. He is actively involved in research teams and collaborations focused on argumentation, multi-agent systems, and automated reasoning, as evidenced by his extensive co-authorship network.
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.
Dr. Stelios Ioannou is a Lecturer and Course Leader of the BEng (Hons) Electrical and Electronic Engineering program at the University of Central Lancashire Cyprus (UCLan Cyprus). He holds a PhD in Electrical Engineering from the University of South Florida (2008), alongside multiple advanced certifications in wireless engineering and technology management. His research focuses on controls/robotics, energy systems for unmanned platforms, power electronics, and power quality optimization. Dr. Ioannou has extensive industry collaboration experience and has contributed to projects funded by the EU, Research Promotion Foundation (Cyprus), and private entities. Research Interests: Unmanned robotic systems (ground/aerial), energy storage solutions for mobile applications, power system stability, and embedded systems integration. He emphasizes practical, cost-effective technologies with commercialization potential. Key Publications (2019–2020): Focused on power converter efficiency, adaptive load shedding for grid stability, and PV system optimization. Recent grants include the IREEDER Erasmus+ project (€53,000) and contributions to the APAESO research initiative (€689,300). Awards: First-Class Licensed Engineer in Cyprus (ETEK/EMS), Full Academic Scholarship (USF), Teaching Excellence Awards (2008). Teaching: Leads modules in power systems, digital electronics, and robotics. Supervises senior design projects and contributes to curriculum development. Outreach: Serves as a journal reviewer for Frontiers in Electronics and Applied Sciences , with active participation in international conferences.
Prof. Nilüfer Güzoğlu is the Dean and an Associate Professor at the Faculty of Medicine, Eastern Mediterranean University. Her academic background includes specialized training in Child Health and Diseases (UZMANLIK, 2008 and 2013) and a Bachelor's degree in Medicine (2002). Her research focuses on: Neonatal hematology and thrombosis Neurodevelopmental outcomes in preterm infants Management of congenital disorders and infections Vaccine awareness and public health initiatives Her extensive publication record (15+ recent studies) demonstrates consistent focus on neonatal care innovations, particularly regarding respiratory support, infection management, and neurodevelopment in low-birth-weight infants. Research frequently involves multicenter collaborations on surfactant therapies, probiotic interventions, and genetic disorder diagnosis. Awards: EMU Research Incentive Award (2021) EMU Research Incentive Award (2020) As Dean, she oversees faculty operations and medical education programs. No specific labs or student advisees are mentioned in available materials.
