جست‌وجوی استاد و پژوهشگر

Mustafa Kemal Uyguroğluمشاهده پروفایل

استاد

• Robotics
• Mechatronics
• Mathematical Modeling
• +۵ مورد دیگر

Prof. Dr. MUSTAFA KEMAL UYGUROĞLU is a Professor of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU), affiliated with the Faculty of Engineering. He has held academic positions since 1987, progressing from Lecturer to Professor by 2015. His research focuses on robotics, mechatronics, mathematical modeling, computer vision, and kinematic analysis of mechanical systems. Education: B.S. in Electrical Engineering, EMU (1981–1985) M.S. in Robotics, EMU (1989–1991) Ph.D. in Robotics, EMU (1992–1998) Research Interests: Prof. Uyguroğlu’s work spans robotics, including mobile robotics, autonomous systems, and trajectory optimization. He has pioneered research in kinematic analysis of geared and tendon-driven mechanisms, fire detection in video sequences, and face-tracking algorithms. His recent projects involve anomaly detection using deep learning and conformal prediction, as well as integration of multi-platform robotics simulations. Publications & Impact: His publications reflect expertise in robotics systems, video surveillance, and control engineering. Notable contributions include studies on omnidirectional mobile robots, fire detection algorithms, and graph-theoretic approaches to mechanism analysis. His work bridges theoretical modeling and practical applications like emergency monitoring systems. Service & Leadership: Vice Rector (2009–2014) Senate Member (2017–present) Founded EMU’s Robotics Lab Developed curricula for Electrical Engineering, Information Engineering, and Mechatronics programs Advising & Mentorship: Supervised 8 graduate theses (4 Ph.D., 4 M.S.) and actively participates in thesis committees. His students have specialized in topics like six-legged robot kinematics and equivalent robotic manipulators. Labs & Infrastructure: Leads the Robotics Lab at EMU, focusing on hardware-software integration for autonomous systems and simulation tools (CoppeliaSim, MATLAB).

• Theory of Algorithms
• Game Theory
• Distributed Computing
• +۳ مورد دیگر

Μάριος Μαυρονικόλας is a Professor at the Department of Computer Science, University of Cyprus. He holds a PhD in Computer Science from Harvard University (1992) and a Diploma in Electrical Engineering from the National Technical University of Athens (Summa cum Laude, 1985). He has held visiting positions at the University of Paderborn (Guest Professor, 2006–2007), University of Connecticut (Assistant Professor, 1999), and University of Crete (Visiting Assistant Professor, 1992–1993). Research Interests: His work focuses on theoretical foundations of computer science, including Game Theory, Distributed and Parallel Computing, Networking, and Internet-related algorithms. He has authored over 100 publications in top-tier conferences and journals. Professional Activities: He currently serves at the University of Cyprus and has held academic roles in Germany, USA, and Greece. His expertise bridges algorithmic theory with practical applications in networked systems.

Pavlos Antoniouمشاهده پروفایل

استاد آموزشی

• Networked Systems Design
• Nature-Inspired Algorithms
• Swarm Intelligence
• +۵ مورد دیگر

Pavlos Antoniou is a Teaching Professor at the Department of Computer Science, University of Cyprus since 2009 and a member of the Networks Research Laboratory (NetRL). He holds a Ph.D. (2012) and a Dip.Ing. (2005) in Electrical and Computer Engineering from the National Technical University of Athens. His research focuses on nature-inspired algorithms for networked systems, including swarm intelligence, bio-inspired congestion control, and machine learning applications in complex systems. He has contributed to projects like the EU-funded GINSENG and the SEnDIng IoT initiative, and co-founded the energy-intelligent startup Viridom. Education: Ph.D. in Computer Science, University of Cyprus (2012) Dip.Ing. in Electrical and Computer Engineering, National Technical University of Athens (2005) Research Interests: Design/analysis of networked systems using bio-inspired models (e.g., Lotka-Volterra, bird flocking) Machine learning for complex system optimization Energy-efficient IoT and smart home technologies Self-organizing wireless sensor networks Service Roles: Departmental Webmaster for Computer Science Logipaignion Competition Webmaster (annual computer game competition for students) Awards: Top 3% graduate student at NTUA (2000s) IKY Scholarship for academic excellence Special awards for academic excellence in high school Labs/Teams: Networks Research Laboratory (NetRL) at University of Cyprus.

Fezile ÖZDAMLIمشاهده پروفایل

استاد

• Educational Technology
• Gamification
• Artificial Intelligence in Education
• +۳ مورد دیگر

Professor Fezile ÖZDAMLI serves as the Head of the Management Information System Department at Near East University. Her research focuses on educational technology, gamification, artificial intelligence, and mobile learning. She has extensively published systematic reviews and empirical studies analyzing technology integration in education, including topics such as virtual reality, DeFi risk mitigation, and techno-skepticism in m-government. Current research areas include gamification, AI in education, and smart learning environments. Active in systematic literature reviews and bibliometric analyses of emerging technologies. Email: fezile.ozdamli@neu.edu.tr

Alexis Stenforsمشاهده پروفایل

دانشیار

• Monetary Policy
• International Finance
• Financial Derivatives
• +۳ مورد دیگر

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.

Kostas Blekosمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Quantum Information
• Quantum Complexity Theory
• +۴ مورد دیگر

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.

Theodosis Mourouzisمشاهده پروفایل

استادیار

• Information Security
• Cryptography
• Blockchain
• +۴ مورد دیگر

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.