Alexis Stenfors is an Associate Professor at the University of Doha for Science and Technology (Doha, Qatar) and holds a concurrent position as Associate Professor at the University of Portsmouth (UK), where he has been affiliated since January 2013. His dual institutional roles reflect a focus on global finance and economics. Stenfors' research spans critical areas of financial markets, including: Monetary policy transmission and central banking strategies Detection of market manipulation (e.g., spoofing, shadow trading) OTC market misconduct and regulatory frameworks Algorithmic trading and AI-driven surveillance International finance and cross-market risk analysis His recent publications demonstrate a strong emphasis on developing analytical models to combat financial crime, with recurring themes of market surveillance, regulatory arbitrage, and systemic risk in derivatives trading. Articles frequently employ network analysis, machine learning, and econometric techniques to dissect complex market behaviors.
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.
Dr. Ikanna Uwanuakwa is an Assistant Professor at Near East University in Nicosia, Northern Cyprus, with dual expertise in Civil Engineering and Architecture. His academic journey includes: Bachelor of Architecture from Federal Polytechnic Nekede, Owerri (2007) Bachelor of Engineering in Civil Engineering from Michael Okpara University of Agriculture Umudike (2013) Master of Science in Civil Engineering from Near East University (2015) Ph.D. in Civil Engineering from Near East University (2021) His research focuses on advancing infrastructure performance through interdisciplinary approaches, including: Innovations in concrete/asphalt material science Machine learning applications for predictive modeling Non-destructive structural health monitoring techniques Durability optimization of civil engineering materials He maintains active participation in RILEM Technical Committees and contributes to scholarly discourse through peer-reviewed publications.
Assoc. Prof. Dr. Demet Çelik Ulusoy serves as Vice Dean at the Faculty of Law, Eastern Mediterranean University (EMU). She holds a PhD in Public Law from Ankara University (2006-2013), a Master's in Law from EMU (2000-2002), and a Bachelor's in Law from EMU (1996-2000). Her academic leadership includes organizing international conferences like 'Constitutional Democracy and the Rule of Law: Mediterranean Perspectives' (2022). Her research focuses on: Constitutional law frameworks and comparative government systems Data protection regulations and privacy rights in digital environments Legal informatics applications in public health crises Human rights implications during states of emergency She teaches advanced courses including Constitutional Law, Data Protection Law, Comparative Constitutional Law, and Right to Privacy. She received the EMU Research Incentive Award (2021) for scholarly contributions. Currently advises graduate students in the Comparative Legal Systems Master's program, a joint initiative with the University of Bologna.
Filippos Tymvios is affiliated with the Energy, Environment and Water Research Center (EEWRC) at The Cyprus Institute while maintaining his primary role as Head of the Aeronautical and Synoptic Section at the Cyprus Department of Meteorology. His academic credentials include: PhD in Solar Radiation Modeling (2007) from National and Kapodistrian University of Athens MSc in Environmental Physics (1998) from National and Kapodistrian University of Athens MSc in Public Sector Management (2012) from CIIM BSc in Physics (1994) from National and Kapodistrian University of Athens His research spans neural network modeling, numerical weather prediction, solar radiation, and climatic change, focusing on advancing meteorological forecasting systems and climate impact analysis through computational approaches. These interdisciplinary interests bridge atmospheric science, machine learning, and environmental physics to address critical weather and climate challenges in the Mediterranean region.
Dr. Kostas Blekos serves as an Associate Research Scientist at The Computation-based Science and Technology Research Center (CaSToRC) of The Cyprus Institute, focusing on quantum computing and machine learning applications in physical sciences. He earned his Ph.D. in Theoretical and Computational Physics from the University of Patras, establishing expertise in advanced computational frameworks. His research spans quantum complexity theory, quantum information science, and hybrid quantum-classical algorithm development, with parallel work applying machine learning to physical science challenges. This bridges theoretical physics and computational methods, advancing quantum information technologies and nanomaterials simulation tools through projects involving numerical modeling and computational infrastructure development.
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.
Dr. Luca Ferrarini serves as an Assistant Professor within the Department of Information Technologies at the University of Limassol, Cyprus. With over ten years of industry experience as an IT project manager and data analytics consultant, he bridges academic research with practical applications in healthcare, medical imaging, and business domains through expertise in machine learning, databases, and cloud computing. His educational foundation includes: A Master of Science in Computer Engineering earned cum laude from the University of Modena and Reggio Emilia (Italy), where his thesis was developed at the Burnham Institute in San Diego through collaboration with the University of California San Diego. A Doctor of Philosophy in Computer Science awarded with honor from Leiden University (Netherlands), followed by post-doctoral research at the same institution focusing on computational analysis of MRI brain images for neurodegenerative conditions. Dr. Ferrarini's research program centers on solving industry and social challenges through digital technologies. His primary technical expertise spans machine learning, database systems, and cloud computing infrastructure . Current projects demonstrate applied focus in two key areas: developing natural language processing systems for automatic email classification in hospitality industry customer relationship management, and conducting bibliometric analyses of digital transformation literature using complex network theory to identify research trends and emerging subfields. Analysis of his publication history reveals a strong interdisciplinary trajectory, beginning with biomedical applications (particularly in neuroimaging and vascular biology) and evolving toward business-oriented digital solutions. His work consistently applies advanced computational methods to extract meaningful insights from complex datasets across healthcare and enterprise contexts, demonstrating adaptability in translating core technical skills to domain-specific challenges. Bringing substantial industry experience to academia, Dr. Ferrarini's current research involves collaboration with tier-1 hospitality chains on NLP applications while mapping the evolution of digital transformation research through network analysis. Though specific details of student supervision and grant funding aren't provided, his project descriptions indicate active industry partnerships and applied research orientation.
