Find Academic Supervisors

• Information Retrieval Systems
• Machine Learning
• Data Mining
• +1 more

Assoc. Prof. Dr. Yıltan Bitirim is a faculty member at the Computer Engineering Department of Eastern Mediterranean University in North Cyprus. With over two decades of academic experience, he has served in various roles including Vice Chair (2014-2022), Academic Affairs Coordinator (2025-), and committee member for ABET assessment, curriculum development, and faculty recruitment. Current academic rank: Associate Professor Active administrative roles: Senate Member (2023-), Information Technology Commission Member (2023-) Professional memberships: ACM, IEEE Senior Member, Cyprus Turkish Chamber of Computer Engineers Research Interests focus on four primary areas: Information Retrieval Systems – evaluating search engine effectiveness and reverse image search performance Machine Learning – applied to emotion classification, gender recognition, and medical diagnosis Data Mining – used in Turkish word-stemming analysis and user behavior studies Biometrics – specializing in hand/wrist/palm vein recognition systems and voice-based identification Publications demonstrate consistent contributions across disciplines, with recent works (2023-2025) emphasizing: Deep learning applications in biometric authentication Advanced emotion recognition systems Medical AI for diabetes management and retinopathy diagnosis Biometric spoof detection mechanisms Turkish language processing challenges Recommendation system innovations Awards & Recognition : Research Incentive Awards (2020, 2021) Best Paper Award at ICIW 2007 IEEE Senior Member status As an educator, he has supervised numerous thesis committees and taught foundational courses in computer engineering, including CMPE 112 and CMPE 342. His certifications (MCTS, MCITP) reflect technical expertise in Microsoft technologies.

• eHealth
• mHealth
• Medical Imaging Analysis
• +4 more

Constantinos S. Pattichis is a Professor of Computer Science and Director of the Biomedical Engineering Research Centre at the University of Cyprus. He also leads the HealthXR Group at CYENS Centre of Excellence and serves as a technical leader on high-impact EU-funded projects, including the EU Digital Covid Certificate Platform and the national eHealth4U initiative. His research focuses on eHealth, mHealth, medical imaging, and AI-driven healthcare solutions. **Education**: Ph.D., Electronic Engineering, University of London (1992) MSc, Neurology, University of Newcastle Upon Tyne (1991) MSc, Biomedical Engineering, University of Texas at Austin (1984) BSc, Electrical Engineering, University of New Brunswick (1983) Technician Engineer, Higher Technical Institute, Cyprus (1979) **Research Interests**: eHealth systems, mHealth interventions using Extended Reality (XR), medical image analysis (MRI, ultrasound), biosignal analysis, and explainable AI for clinical decision support. His work addresses challenges in stroke risk assessment, multiple sclerosis progression, and telemedicine accessibility. **Awards & Roles**: Fellow of IEEE, IET, IAMBE, and EAMBES. He has managed over €20M in EU grants, edited multiple books on mHealth and biomedical imaging, and serves on editorial boards of journals like IEEE Journal of Biomedical and Health Informatics. He has published ~409 peer-reviewed works (150 journals, 259 conferences) with an h-index of 54. **Grants & Projects**: Led projects such as the EU Digital Covid Certificate Platform, eHealth4U (national eHealth ecosystem), and the IPMT Excellence Centre. Active in standardizing cross-border eHealth services via EU CEF programs. **Labs & Teams**: Directs the eHealth Lab at the University of Cyprus and collaborates with CYENS on HealthXR innovations. His work includes developing VR tools for dementia care, teleconsultation apps, and AI-driven diagnostic systems.

Vasos VassiliouView profile

Associate Professor

• Distributed Network Protocols
• 5G/6G Communication Systems
• Device-to-Device (D2D) Networking
• +12 more

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 .

• Power Electronics
• Control Systems
• Renewable Energy Integration
• +3 more

Prof. Dr. Osman Kukrer is a full-time faculty member at Eastern Mediterranean University (EMU), Faculty of Engineering, Department of Electrical and Electronics Engineering. He has been actively supervising graduate students in power electronics, control systems, and renewable energy integration since the 1990s. His research spans advanced power conversion topologies, including quasi-Z-source inverters multilevel converters active power filters grid-connected systems adaptive beamforming algorithms electric vehicle grid integration Notable contributions include the EMU Publication Citation Award (2017) and extensive supervision of 41 graduate theses, with research interests aligning with modern energy systems and signal processing techniques.

Spyros BlionasView profile

Visiting Professor

• Embedded Systems
• System-on-a-Chip
• Telecommunications Applications
• +5 more

Dr. Spyros Blionas is a Visiting Professor at the University of Peloponnese's Department of Informatics and Telecommunications. He holds a Diploma in Physics (Electronics specialization) from the University of Athens (1983), an M.Sc. in Telecommunication Electronics (1986), and a Ph.D. in VLSI parallel architectures (1990) from the University of Patras. His career includes roles at the European Commission's Joint Research Centre (1988–1990), INTRACOM (1991–2006), and founding Micro2Gen (2006), a spin-off for VLSI technology in Molecular Diagnostics. He has taught at the Technological Educational Institute of Crete (2007–2009) and the University of Peloponnese (since 2009, promoted to Professor in 2021). His research focuses on embedded systems, System-on-a-Chip (SoC) design for telecommunications and biotechnology applications, including Lab-on-a-Chip instrumentation. He has authored/co-authored over 70 publications in journals/conferences and contributed to 20+ collaborative research projects, holding roles as researcher and coordinator. Dr. Blionas has participated in projects at the Centre for Technological Development of Crete and holds six patent applications. His work bridges microelectronics, digital design, and biosensor integration for healthcare and communication technologies.

John Bush IdokoView profile

Assistant Professor

• Machine Learning
• Computer Vision
• Signal Processing
• +2 more

John Bush Idoko is an Assistant Professor in the Computer Engineering Department at Near East University, North Cyprus. He earned his BSc in Computer Science from Benue State University, Nigeria (2010), followed by MSc (2017) and PhD (2020) in Computer Engineering at Near East University. His research focuses on machine learning , computer vision , and signal processing , with applications in IoT systems , healthcare devices , and smart infrastructure . He has contributed to 15 recent publications spanning topics such as UAV routing protocols, image encryption, and medical prosthetics. BSc: Computer Science, Benue State University (2010) MSc: Computer Engineering, Near East University (2017) PhD: Computer Engineering, Near East University (2020) His work emphasizes deep learning optimization , chaotic encryption , and intelligent sensor networks . Recent projects include IoT-based infant monitoring, sleep apnea detection, and voice-controlled prosthetics. He is affiliated with the Applied Artificial Intelligence Research Centre and leads the Cyber Security Engineering Department.

• Biomedical Image Analysis
• Digital Image and Video Processing
• Dynamically Reconfigurable Architectures
• +5 more

Pattichis Marios is an Associate Professor in the Department of Electrical and Computer Engineering and Radiology at the University of New Mexico (UNM). He directs the Image and Video Processing and Communications Lab (ivPCL) and serves on the board of the FPGA Mission Assurance Center (FMAC). His research focuses on biomedical image analysis, dynamically reconfigurable architectures, and educational technology for underrepresented student groups. Education: Ph.D. in Computer Engineering (UT Austin, 1998), dual bachelor's degrees in Mathematics and Computer Sciences (UT Austin, 1991). He has taught 15 courses across multiple universities and secured $15.9M in research funding from NSF, AFRL, and NIH. Research areas include CAD systems for medical imaging, explainable AI, and large-scale video analytics in clinical and educational settings. Developed AM-FM representations for image/video features and contributed to solar image analysis methodologies. Awards: EAMBES Fellow (2022), Harrison Faculty Excellence Award (2006), Best Paper Award (AIAI06), Teacher of the Year (UNM ECE). Current projects include the AOLME educational initiative and the DRASTIC adaptive video processing platform. He edits special issues in IEEE journals and Teachers College Record.

• Neurology
• Multiple Sclerosis
• Medical Imaging
• +3 more

Marios Pantzaris is a Visiting Associate Professor in the Department of Neurology at the Cyprus School of Molecular Medicine, part of the Cyprus Institute of Neurology and Genetics (CING). He also serves as the Director of Neurology at CING and previously held the role of Head of the Multiple Sclerosis Clinic. His academic qualifications include an MD from Aristotle University in Greece (1991) and specialization in Neurology (1995). MD, Aristotle University, Greece (1991) Specialist Neurologist, Aristotle University, Greece (1995) Pantzaris’s research focuses on neuroimmunology, biomarker discovery, and medical imaging technologies for neurological diseases, particularly multiple sclerosis (MS). His work explores the role of antibodies against phospholipid-binding proteins in MS progression, genetic factors influencing disease severity, and advanced ultrasound imaging techniques for vascular and neurological diagnostics. His recent publications span topics such as antibody profiling in MS, HEVC video compression for ultrasound, and carotid artery segmentation algorithms. These studies highlight his interdisciplinary approach, integrating neurology, biomedical engineering, and computational informatics. Pantzaris has led and participated in clinical trials and research projects funded by the Cyprus Research Promotion Foundation, Genesis Pharma Cyprus, and the Ministry of Commerce, Industry, and Tourism. These include investigations into novel therapies for MS, miRNA profiles in interferon-beta resistance, and modifier gene studies in MS prognosis.

• Health Psychology
• Affective Processing
• Interoception
• +7 more

Elena Constantinou is a Lecturer in Research Methods at the School of Humanities, Social and Education Sciences at European University Cyprus , Nicosia, Cyprus. Her academic career spans institutions including the University of Cyprus and King’s College London, with a focus on psychophysiological research and emotion processing. PhD in Psychology (2014) - University of Leuven, Health Psychology Group M.A. in Developmental/Cognitive Psychology (2009) - University of Cyprus B.A. in Psychology (2006) - University of Cyprus Her research investigates interoception , alexithymia , fear conditioning , and emotion regulation , particularly in relation to medically unexplained symptoms and stress-related syndromes . She has pioneered remote experimentation frameworks via the FLARe app and contributed to computational models linking physiological reactivity to anxiety severity. Recent work emphasizes distress tolerance , genetic/environmental influences on fear learning , and biomarker development for chronic conditions like fibromyalgia. Publications span journals including Psychosomatic Medicine , Psychophysiology , and Journal of Psychosomatic Research .

Christos PanayiotouView profile

Professor

• Modeling
• Control Systems
• Optimization
• +6 more

Christos Panayiotou is a Professor in the Electrical and Computer Engineering Department at the University of Cyprus (UCY) and serves as the Deputy Director of the KIOS Research and Innovation Center of Excellence. He holds a B.Sc. and Ph.D. in Electrical and Computer Engineering from the University of Massachusetts Amherst (1994 and 1999), as well as an MBA from the Isenberg School of Management. Prior to joining UCY in 2002, he was a Research Associate at Boston University's Center for Information and System Engineering. His research focuses on modeling, control, optimization, and performance evaluation of discrete event and hybrid systems, with applications in intelligent transportation systems, cyber-physical systems, machine learning, wireless networks, and smart buildings. His work has secured over €45 million in funding from national/EU agencies, governments, and private entities. He has published over 290 papers and received the 2014 Best Paper Award in Building and Environment . Editorial Roles : Associate Editor for IEEE Transactions on Intelligent Transportation Systems, IEEE Control Systems Society, and others. Leadership : General Chair of EWGT2020, Co-Chair of ECC2018, and Chair of IEEE Computational Intelligence Society subcommittees. Key projects include UAV swarm coordination for maritime surveillance, digital twin architectures for smart buildings, and resilient traffic demand management systems. His grants emphasize cyber-physical systems, energy grids, and disaster response technologies.

• Adaptive Signal Processing
• Wireless Communication Systems
• CDMA Technologies
• +3 more

Prof. Dr. Aykut Hocanin is a faculty member in the Department of Electrical and Electronics Engineering at Eastern Mediterranean University (EMU). He holds a PhD in Electrical and Electronics Engineering from Bogazici University, an MS in Electrical Engineering from Texas A&M University, and a BS in Electrical and Computer Engineering from Rice University. PhD: 1994-2000, Bogazici University MS: 1992-1993, Texas A&M University BS: 1988-1992, Rice University Research Interests: Dr. Hocanin specializes in adaptive signal processing algorithms, wireless communication systems, and sparse system identification. His work focuses on developing efficient algorithms for impulsive noise environments and improving CDMA system performance through robust detection and interference cancellation techniques. He has contributed significantly to adaptive filtering methods, including recursive inverse algorithms and variable step-size LMS approaches. Scientific Contributions: His recent research (2020-2024) includes fast quasi-Newton adaptive algorithms and data-reuse extended NLMS techniques. Earlier work (2011-2015) explored entropy-based subspace separation, 2D recursive inverse filtering, and mobility modeling in wireless networks. He has supervised numerous graduate theses on these topics. Professional Role: As a professor at EMU, Dr. Hocanin teaches courses like INFE362 and EENG461 while maintaining active research in digital signal processing and wireless communication. He serves as an associate editor and reviewer for academic journals and conferences.

Konstantinos KatzisView profile

Associate Professor

• Telecommunications
• IoT in Healthcare
• Wireless Communication Networks
• +5 more

Konstantinos Katzis is an Associate Professor and Deputy Dean at the School of Sciences, Department of Computer Science and Engineering, European University Cyprus. His academic journey includes a PhD in Electronics from the University of York (2006) and prior roles as Research Associate at the University of York and Assistant Professor at European University Cyprus. Education: PhD in Electronics, University of York (2006) MSc in Radio System Engineering, University of Hull (2001) BEng in Computer Systems Engineering, University of Hull (2000) Research Interests: Dr. Katzis focuses on telecommunications, IoT applications in healthcare, medical device security, and STEM education leveraging AR/VR technologies. His work also explores wireless communication networks (e.g., HAP, TVWS), earthquake-related radio anomalies, and spectrum management for 5G and beyond. Awards: Fulbright Visiting Researcher (2018-2019) Best Paper Awards at International Conferences on Healthcare Technologies (2017) Laureate's Research Publication Award (2016) Consulting & Leadership: He serves as IEEE Standard 1900.6 Vice Chair, H2020 Programme Committee Member for Space (representing Cyprus), and advisor to the Cyprus Ministry of Transport on ESA membership. His projects include ERASMUS+ initiatives like EL-STEM and STEM-IT-UP. Labs & Collaborations: Active in the INFREP Network for studying earthquake precursors via radio signals and the MedSecurance Project for securing IoT medical devices. Collaborates with institutions like NIST (USA) and IEEE on standards development.

• eHealth
• mHealth
• Medical Imaging Analysis
• +7 more

Constantinos Pattichis is a Professor in the Department of Computer Science at the University of Cyprus and Director of the Biomedical Engineering Research Centre. He leads the HealthXR Group at CYENS Centre of Excellence, focusing on innovative healthcare technologies. His career includes advanced academic qualifications from institutions like the University of London (PhD, 1992), extensive industry collaboration, and over 30 years of expertise in eHealth, medical imaging, and AI-driven healthcare solutions. Research interests span eHealth systems, mHealth interventions using Extended Reality (XR), medical image analysis (MRI/ultrasound), and explainable AI applications in clinical decision-making. He has secured over €20M in EU funding for projects including the EU Digital Covid Certificate Platform (eudcc.gov.cy), the IPMT Centre of Excellence, and national eHealth infrastructure initiatives like eHealth4U. Notable contributions include over 150 journal articles, 259 conference papers, and co-editing pivotal works like *M-Health: Emerging Mobile Health Systems*. Awards include IEEE/IET Fellowships and leadership roles in IEEE Technical Committees and international conferences. His work emphasizes interdisciplinary collaboration, with projects addressing stroke risk assessment, multiple sclerosis imaging, and dementia care through VR-based rehabilitation. Education: PhD in Electronic Engineering (University of London), MSc in Neurology (Newcastle University), BSc Electrical Engineering (University of New Brunswick) Key Projects: EU Digital Covid Certificate, eHealth4U, IPMT Teaming Project Labs: eHealth Lab, HealthXR Group His research bridges clinical needs with technological innovation, addressing global health challenges through AI, telemedicine, and immersive technologies.

George GregoriouView profile

Associate Professor

• Signal and Image Processing
• RFID Systems in Healthcare
• Medical Imaging
• +7 more

Dr. George Gregoriou serves as Associate Professor at the Department of Engineering, School of Sciences and Engineering, University of Nicosia, where he also holds the position of Academic Vice President for Regulatory Affairs at the Rectorate and is a Member of the Senate. His educational background includes a BSc (Summa Cum Laude) in Electrical Engineering from the University of South Alabama (1986), and MSc and PhD degrees in Electrical Engineering from Drexel University (1992). His early career included positions as Research Assistant Professor at Drexel University (1992-1993) and Post-doctoral Research Associate at the University of North Carolina at Chapel Hill (1993-1995). Dr. Gregoriou's research spans multiple domains in engineering and healthcare technology, with recent focus on RFID systems for healthcare applications. His work bridges signal processing, medical imaging, and educational technology, demonstrating strong interdisciplinary capabilities. He has published extensively in IEEE journals and conferences, particularly in nuclear medicine imaging and wireless healthcare systems. His research publications show a clear evolution from foundational work in medical imaging and signal processing toward applied healthcare technology solutions, particularly RFID systems for hospital environments. Recent publications demonstrate practical implementations of wireless technologies in real healthcare settings with emphasis on system design, installation, and evaluation metrics. Senior Member, IEEE Senior Member, IEEE Computer Society Senior Member, IEEE Signal Processing Society Senior Member, IEEE Communication Society Senior Member, IEEE Engineering in Medicine and Biology Society Dr. Gregoriou has secured significant research funding as co-investigator on five research grants totaling over €5 million from the National Institutes of Health and Cyprus Research Promotion Foundation. He served as national delegate for COST B21 action on Physiological Modeling of MR Image Formation and has reviewed for prestigious IEEE conferences including the International Conference on Electronics, Circuits, and Systems. His work contributes to Sustainable Development Goal 3 (Good Health and Well-being) through healthcare technology innovations.

Amr AbdelbariView profile

Assistant Professor

• Wireless Communication Systems
• Signal Processing
• 5G Networks
• +4 more

Assistant Professor Amr Abdelbari is affiliated with the Data Analytics Engineering Department at Near East University. His research focuses on wireless communication systems, signal processing, and machine learning applications in telecommunications. Academic Rank: Assistant Professor University: Near East University Department: Data Analytics Engineering Research interests include: Massive MIMO and 5G network optimization Direction-of-Arrival (DOA) estimation techniques Machine learning for wireless communication IoT applications in civil engineering Probabilistic and fuzzy logic-based signal processing Recent publications (2020-2025) demonstrate expertise in wideband signal processing, NOMA systems, and error probability modeling. Key trends in his work include integrating fuzzy logic for network optimization, improving DOA estimation for 5G systems, and applying neural networks to renewable energy modeling. Contact: amr.abdelbari@neu.edu.tr