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.
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.
Christos Nicolaides is an Assistant Professor at the Department of Business and Public Administration within the School of Economics and Management at the University of Cyprus (UCY), holding a secondary appointment as a Digital Fellow at MIT's Initiative on the Digital Economy. Previously, he spent three years as a James McDonnell Foundation-funded Postdoctoral Fellow at MIT Sloan School of Management. His educational background includes a PhD in Engineering from Massachusetts Institute of Technology (2014), SM from MIT (2011), MSc in Applied Mathematics from Imperial College London (2009), and BSc in Physics from University of Thessaloniki (2008). Nicolaides' research applies mathematical, statistical, and computational tools to large-scale empirical questions in social influence mediated by digital technologies. His work spans Data Science , Machine Learning , Social Networks , and Computational Social Science , with significant contributions to understanding human mobility patterns, disease transmission dynamics, and social contagion effects. His research has established novel methodologies for analyzing complex network structures in mobility data and social interactions. Analysis of his 15 most recent publications reveals a consistent focus on applying network science to real-world problems, particularly in pandemic response (12 publications), human mobility analytics (9 publications), and social contagion dynamics (7 publications). His work demonstrates increasing interdisciplinary integration, combining computer science, epidemiology, and organizational behavior since 2020. Marie S. Curie Fellow Two Highly Cited Papers by Web of Science (2017, 2020) Best Paper Award by Risk Analysis Society (2019) Professor of The Week by Poets & Quants (2020) As principal institutional investigator, Nicolaides has secured over €1 million in research funding from the European Commission, industry partners, Cyprus Innovation and Research Foundation, and Cyprus Ministry of Health. His current teaching includes Social Networks and Entrepreneurship, Introduction to Operations Management, and Quantitative Methods in Management. Media coverage of his work spans major outlets including The New York Times, CNN, Nature, and Science, with significant impact on public health policy discussions during the COVID-19 pandemic.
Michael Sirivianos is an Associate Professor at the Cyprus University of Technology (CUT), where he serves as Dean of the School of Engineering and Technology. He holds a PhD in Computer Science from Duke University (2010) and leads research in cybersecurity, disinformation detection, and social media analysis. He coordinates multiple EU-funded projects including ReCRED (Horizon 2020) and ENCASE (Marie Curie RISE), securing over €3M in research funding. Research Focus His work spans: Cybersafety : Detection of cyberbullying, hate speech, and inappropriate content targeting children Trust Systems : Device-centric authentication and blockchain applications Disinformation Analysis : Graph-based detection of fake news and state-sponsored manipulation Scalable Systems : Distributed databases and network infrastructure Achievements & Recognition Best Paper Award (2019) for work on state-sponsored disinformation Distinguished Paper (2018) for fringe web community analysis Spotlight Session recognition (2020) for child protection research Featured in NYT, Washington Post, and Wired for YouTube content analysis Leadership Co-directs the Network Systems Research Lab, serves on the Board of CYENS Centre of Excellence, and coordinates the Fact-check Cyprus Centre against Disinformation.
Angelos Georghiou is an Associate Professor of Operations Management at the Department of Business and Public Administration, University of Cyprus. He previously held academic positions as Assistant Professor at McGill University (2016–2019), Post-Doctoral Researcher at MIT (2012–2013), and Postdoctoral Researcher at ETH Zurich (2013–2016). His work bridges computational methods in stochastic and robust optimization with applications in healthcare, energy systems, and operations management. Ph.D. in Operations Research, Imperial College London (2012) M.Sci. in Mathematics, Imperial College London (2008) His research focuses on stochastic optimization , robust optimization , and decision rules , addressing challenges in healthcare analytics , energy-efficient control systems , and machine learning integration . Recent publications in Management Science and Operations Research highlight his contributions to decision-dependent information discovery and computational frameworks. Key trends in his 15 most recent articles include: Advancing robust optimization techniques for multistage problems Applications in healthcare (psychiatric risk prediction) and energy systems Integration of machine learning with stochastic programming Development of tractable algorithms for complex decision environments Scientific Awards : Esdras-Minville Best Student Paper Award (2023) He serves on editorial boards of Operations Research Letters (Area Editor) and Management Science , and collaborates with institutions like MIT, ETH Zurich, and McGill University. His work with undergraduate students includes a 2021 paper in SIAM Undergraduate Research Online .
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. Ulvi Keser is a full Professor at the Faculty of Economics and Administrative Sciences, Final International University , North Cyprus. His research and teaching focus on the modern history of Cyprus, strategic security studies, intelligence operations, and communication history, with special emphasis on the 1955-1974 Turkish Cypriot struggle and the wider Eastern-Mediterranean geopolitics. Education & Academic Titles: Prof. Dr. – current academic rank (exact degrees and alma mater not disclosed in the text). Research Interests: Prof. Keser’s scholarship revolves around the intersection of history, security, and communication . He meticulously investigates clandestine radio networks, propaganda techniques, intelligence gathering, and the legal-diplomatic aspects of the Cyprus question. His work also delves into humanitarian crises during World War II, Turkish-Greek bilateral relations, and maritime strategic affairs in the Eastern Mediterranean. Key themes include: History of the Turkish Cypriot resistance (1955-1974) Intelligence & counter-intelligence activities on the island Impact of radio broadcasting and underground media on national movements International law and diplomatic legitimacy regarding Cyprus Energy security and maritime boundaries in the Eastern Mediterranean Publication Profile: Since 2008 Prof. Keser has authored more than seventy scholarly articles. His output is heavily concentrated on Cyprus-centric case studies, employing archival documents, intelligence reports and media analyses. Recurring methodological strands combine historical narrative with security analysis, yielding insights into propaganda, psychological warfare, and the legal-geopolitical dimensions of conflict. Scientific Awards & Grants: No awards or funded projects explicitly listed in the provided text. Advising & Research Teams: No specific PhD/Master advisees or laboratory teams are mentioned in the source material.
Professor Demetris Vrontis serves as the Vice Rector for Faculty and Research and holds the rank of Professor of Strategic Management at the University of Nicosia, Cyprus. He is also the Founding Editor and Editor-in-Chief of the EuroMed Journal of Business , and leads the EuroMed Academy of Business and Gnosis Mediterranean Institute for Management Science. His editorial roles span over 80 guest-edited editions in top-tier journals, and he has authored over 450 refereed articles, 60 books, and 80 book chapters across management, marketing, and business disciplines. His research focuses on strategic management, international marketing, and organizational behavior, with a growing emphasis on digital transformation and sustainability. Education: PhD in International Marketing Management and Business, Manchester Metropolitan University (2000) MBA (Distinction), University of Hull (2000) BSc (Hons) in Business Studies, Manchester Metropolitan University (1997) Research Interests: Strategic Management, International Marketing, Digital Innovation, Sustainability, and Organizational Behavior. His work addresses contemporary challenges in business ecosystems, including AI integration, green innovation, and cross-cultural management. Awards & Affiliations: Fellow Member, Chartered Institute of Marketing Chartered Business Consultant Member of numerous international editorial boards and advisory councils Key Projects: Leads ERASMUS+ initiatives on digital excellence, sustainable education, and mental health in youth football. His research often bridges academia and industry, with collaborations in Vietnam, Italy, and South Africa. Institutional Roles: Serves on the boards of international companies and advises on policy at the national level in Cyprus and abroad.
Assoc. Prof. Dr. Adnan Acan is a faculty member in the Department of Computer Engineering at Eastern Mediterranean University (EMU). He holds a PhD from Middle East Technical University, specializing in Electrical Engineering. His academic roles include teaching and supervising numerous graduate students in areas such as optimization algorithms, computer vision, and biomedical signal processing. Education: PhD, Electrical Engineering, Middle East Technical University (1992) MS, Electrical Engineering, Middle East Technical University (1985) BS, Electrical Engineering, Middle East Technical University (1983) Research Interests: His research focuses on optimization algorithms, machine learning, pattern recognition, and biomedical applications. Notable areas include metaheuristic algorithms (e.g., particle filters, great deluge), multi-agent systems, and ECG/heartbeat classification. He has contributed to advancements in computational intelligence, evolutionary algorithms, and medical diagnostics. Advising & Students: He has supervised over 30 graduate students, including PhDs such as JAMSHID TAMOUK (2021) and ZAHRA GOLRIZ KHATAMI (2019), and master’s students like MILAD ROSTAMPOUR (2023). His work spans applications in robotics, face recognition, and numerical optimization. Labs & Collaboration: His teaching and research involve courses in artificial intelligence, algorithms, and computer engineering. He actively contributes to academic service, including roles as a session chair and reviewer in conferences. His lab focuses on developing innovative solutions to complex computational and biomedical challenges.
Michalis Michaelides is an Assistant Professor at the Department of Electrical Engineering, Computer Engineering and Informatics at the Cyprus University of Technology , where he has held a tenure-track position since 2012. He holds a PhD in Electrical Engineering from the University of Cyprus (2009), and earlier degrees from Purdue University (MSEE, 1998; BSEE, 1997). His research focuses on communication systems, wireless sensor networks, environmental monitoring, and computational intelligence applications in maritime logistics and smart infrastructure. He received the Elsevier Building and Environment Journal Best Paper Award in 2014. His work spans smart port operations , IoT integration , and data-driven environmental modeling . Recent publications address berth allocation optimization, vessel arrival prediction, CO2-based virus transmission risk analysis, and AI-driven maritime terminal management. His interdisciplinary approach combines signal processing, optimization algorithms, and sensor networks to solve challenges in transportation, environmental sustainability, and public health. Education: PhD in Electrical Engineering, University of Cyprus (2009) MSEE, Purdue University (1998) BSEE, Purdue University (1997) Awards: Elsevier Building and Environment Journal Best Paper Award (2014) His research group collaborates on projects like intelligent irrigation systems and coastal eutrophication analysis , leveraging computational intelligence for real-world applications. Ongoing work emphasizes port efficiency, sensor network reliability, and decision support systems for maritime logistics.
Panos K. Chrysanthis is a Professor of Computer Science at the University of Pittsburgh and an adjunct Professor at Carnegie-Mellon University and the University of Cyprus. He holds a BS in Physics with a Computer Science concentration from the University of Athens, Greece, and MS and PhD degrees in Computer and Information Sciences from the University of Massachusetts Amherst. He has been affiliated with the University of Pittsburgh since 1991, serving as Director of the Advanced Data Management Technologies (ADMT) Lab. His research focuses on database systems, mobile and pervasive data management, distributed computing, and real-time systems, with recent emphasis on data streams and energy-efficient data management for IoT and sensor networks. Chrysanthis has authored over 100 peer-reviewed publications, including a book on transaction processing and consistency in distributed databases. He has received the NSF CAREER Award (1995) and the University of Pittsburgh's Provost Award for Excellence in Mentoring (2015). He has held editorial roles at the VLDB Journal, IEEE TKDE, and DAPD, and has organized major conferences like ICDE and MDM. His work bridges theoretical database research with practical applications in urban informatics, healthcare, and sustainability. Chrysanthis has advised numerous students, contributed to grants focused on big data and healthcare analytics, and co-developed tools like the ADMT Lab's experimental platforms for urban mobility and congestion. He is a Senior Member of IEEE and an ACM Distinguished Scientist.
Rigas-Filippos Soldatos serves as a Visiting Assistant Professor in the Department of Psychiatry at the Medical School of the National and Kapodistrian University of Athens, where he currently holds an Academic Fellow position in Neuropsychiatry at Aeginitio Hospital's First Neurological Clinic since May 2021. His academic career includes prior roles as an Academic Fellow in Psychiatry at the university's First Psychiatric Clinic (2014-2020) and a Research Fellow in Neuropsychiatry at the University of Melbourne's Melbourne Neuropsychiatry Centre (2019-2020) under a Greek-Australian Research Fellowship. His educational credentials feature a Doctoral degree (2014) from the National and Kapodistrian University of Athens' 1st Department of Pathological Anatomy with thesis 'Molecular study of meningiomas', a Medical degree (2005) from the same institution's Medical School, and a Bachelor of Science in Biomedical Science (1999) from King's College London. Soldatos specializes in advanced psychiatric research focusing on first-episode psychosis , schizophrenia spectrum disorders , and exposome-environment interactions . His work integrates machine learning methodologies to develop predictive models for symptom remission while examining socioeconomic and familial influences on disease progression. He actively contributes to the Athens first-episode psychosis research study , advancing early intervention frameworks through longitudinal clinical investigations. Analysis of his publication record reveals a concentrated research trajectory on computational psychiatry applications, with recent work emphasizing exposome scoring systems in schizophrenia and pandemic-related caregiver impacts in neurocognitive disorders. His methodological approach bridges clinical psychiatry with data science to address critical gaps in psychosis management and functional outcomes. As a core collaborator in the Athens first-episode psychosis research initiative, Soldatos operates within multidisciplinary teams at Aeginitio Hospital while maintaining international research connections established during his fellowship at the Melbourne Neuropsychiatry Centre.
Prof. Dr. Levent Altınay serves as a Professor in the Department of Tourism and Hotel Management at Final University's Unal Caginer School of Tourism and Culinary Arts, where he contributes to academic leadership and curriculum development in hospitality education. His educational foundation includes a Doctoral Degree in Business Management (2001) and Master's Degree in International Hotel Management (1997) from Oxford Brooks University, complemented by a Bachelor's Degree in Business from Çukurova University (1996). His research concentrates on Tourism Management methodologies, Hotel Operations optimization, and Business Management frameworks within the hospitality sector, with emphasis on sustainable tourism development and service quality enhancement. Administrative responsibilities include departmental coordination and academic program oversight, though specific roles aren't detailed in available records.
Professor HADJINICOLAS GEORGE holds a faculty position at the University of Cyprus, Department of Business Administration and Public Administration under the School of Economics and Management. His research focuses on production-marketing interface, international manufacturing systems, and product positioning methods. He earned a Ph.D. in Business Administration (Operations Management) from the University of Southern California in 1993, preceded by MS degrees in Statistics (1990) and Computer Engineering (1989), and a BS in Electrical Engineering (Cum Laude, 1988). His research interests emphasize optimizing production systems through interdisciplinary approaches, integrating marketing and operational decisions. Key themes include cost reduction in serial production systems, resource allocation for service quality, and strategic product positioning using advanced analytics like self-organizing maps. His publication trends reflect sustained contributions to operations management and decision sciences, with notable work on journal evaluation metrics and production-marketing interface challenges. Over two decades, his research has addressed both theoretical frameworks (e.g., asymptotic distribution analysis) and practical applications (e.g., hotel service optimization). He has advised numerous studies on manufacturing systems and marketing strategies, though specific student names are not listed here. His work bridges engineering and business disciplines, addressing global operational challenges through quantitative methodologies.
Ioannis Patrikios is a Professor of Biochemistry and Deputy Dean at the School of Medicine, European University Cyprus. He holds a Ph.D. in Biochemistry from The City University of New York (1994) and a BSc in Biochemistry (1986). His research focuses on biochemistry, multiple sclerosis treatment (particularly Neuroaspis PLP10), anticancer agents, omega fatty acids, and clinical trials. He leads Phase III clinical trials for neurodegenerative diseases and has pioneered nutraceutical interventions for MS. Awards include the Forensic Fellows of Medical Science (2015), Scuola Superiore d'Immunologia Fellowship (2001), and Sigma Xi Honor Society membership (1994). Founder and Chairman of the School of Medicine at European University Cyprus Former CEO of PALUPA Medical Ltd., developing therapeutic nutraceuticals Editor of EC Neurology and advisor to the Academy of Forensic Medical Sciences Key research areas: Neuroprotective agents, MS treatment efficacy, clinical trial methodologies, and lipid agglutination mechanisms. His work includes over 50 peer-reviewed publications and patents on medical nutrition formulas. He organizes annual international biomedical congresses in Cyprus and has contributed to European Union-funded projects like Gender Net (2019). Exhibitions and clinical trials focus on Neuroaspis PLP10 for MS therapy, showcased at international forums since 2016. His research bridges basic biochemistry with clinical applications, emphasizing translational medicine.
