جست‌وجوی استاد و پژوهشگر

• Information Retrieval Systems
• Machine Learning
• Data Mining
• +۱ مورد دیگر

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.

• Optimization Algorithms
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

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.

Vasos Vassiliouمشاهده پروفایل

دانشیار

• Distributed Network Protocols
• 5G/6G Communication Systems
• Device-to-Device (D2D) Networking
• +۱۲ مورد دیگر

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 .

Hadi Işık Aybayمشاهده پروفایل

استاد

• Computer Engineering
• Neural Networks
• Distributed Systems
• +۴ مورد دیگر

Prof. Dr. Hadi Işık Aybay is a distinguished Professor of Computer Engineering at Eastern Mediterranean University (EMU), North Cyprus. He has held academic roles including Department Chairman of Computer Engineering (1994–2004 and 2013–present) and Director of EMU's Distance Education Institute (2000–2013). He earned his PhD in Electrical and Electronic Engineering from METU (1989) and served as an Assistant/Associate Professor before becoming a full Professor in 2013. His research spans neural networks, distributed systems, and e-learning technologies. Education: PhD, Electrical and Electronic Engineering, Middle East Technical University (1989) M.Sc., Electrical and Electronic Engineering, METU B.Sc., Electrical and Electronic Engineering, METU Research Interests: Prof. Aybay's work focuses on computer engineering innovations, including neural network hardware, distributed multimedia systems, and wireless communication protocols. He pioneered EMUOnline, a blended learning platform, and contributed to science park development in North Cyprus. His research also addresses challenges in video streaming optimization and adaptive resource allocation in cellular networks. Key Achievements: He led over 15 projects, including EU-funded initiatives like 'Deep Farm' (2024–2025). His publications (80+ papers) span IEEE journals and conferences, with 281 Google Scholar citations. Awards include the 1973 National Project Contest First Prize and the 1990 Best Thesis Award (supervised). Grants and advising: Supervised 3 PhD and 28 MSc students. Current projects include AI-driven agriculture (Erasmus+). Grants include EU funding (€1M) and Turkish Republic of Northern Cyprus initiatives. Labs/Teams: Active in the EMU Computer Engineering Department's research groups, focusing on distributed systems and e-learning infrastructure.

Antonis Savvaمشاهده پروفایل

پژوهشگر

• Signal Processing
• Computer Vision
• Pattern Recognition
• +۳ مورد دیگر

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.

Mihalis Nicolaouمشاهده پروفایل

دانشیار

• Machine Learning
• Computer Vision
• Tensor Methods
• +۲ مورد دیگر

Mihalis Nicolaou is Associate Professor at The Cyprus Institute's Computation-based Science and Technology Research Center. His research develops robust machine learning algorithms with applications in computer vision and interdisciplinary domains. Research focuses on: Interpretable representation learning Tensor-based machine learning Generative model interpretation Multimodal data fusion Recent publications explore semantic grounding in vision-language models and interpretability of satellite image generative networks. His work emphasizes algorithmic robustness and cross-domain applications.

John Bush Idokoمشاهده پروفایل

استادیار

• Machine Learning
• Computer Vision
• Signal Processing
• +۲ مورد دیگر

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
• +۵ مورد دیگر

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.

Anna Papadopoulouمشاهده پروفایل

دانشیار

• Molecular Ecology
• Island Biogeography
• Phylogeography
• +۳ مورد دیگر

Dr. Anna Papadopoulou is an Associate Professor at the Department of Biological Sciences, School of Natural and Applied Sciences, University of Cyprus. She leads the Molecular Ecology and Evolution Laboratory, focusing on island biodiversity dynamics through molecular and genomic approaches. Her research integrates microevolutionary processes with macroecological patterns to understand diversification mechanisms in island systems. Ph.D. in Ecology and Evolutionary Biology (Imperial College London, 2010) M.Sc. in Taxonomy and Biodiversity (Imperial College London, 2003) B.Sc. in Biology (National and Kapodistrian University of Athens, 2001) Research Interests: Specializing in phylogeography, population genomics, and metagenetic approaches, she studies island biocommunities with particular emphasis on darkling beetles (Tenebrionidae) in the Aegean archipelago and Cyprus. Her work examines Quaternary sea-level changes' impacts on species diversification and employs high-throughput sequencing for biodiversity assessment. Publication Trends: Recent articles focus on metabarcoding methodologies for community analysis, genomic determinants of island biogeography, deep learning applications in taxonomy, and population genomics of flightless beetles. These studies span diverse island systems including the Aegean, Virgin Islands, and alpine ecosystems. Scientific Awards: Severo Ochoa Research Fellowship (2015-2017) Advising and Projects: Mentors PhD students Konstantinos Ntatsopoulos and Emmanouil Meramveliotakis. Co-supervised Vanina Tonzo (University of Cyprus/EBD-CSIC) and Gissela de la Cadena (CSIC-UPF). Leads EU Horizon 2020 iBioGen project for island biodiversity genomics standardization. Laboratory: The Molecular Ecology and Evolution Laboratory at UCY employs genomic tools to study island taxa phylogeny, develops metagenomic approaches for biodiversity dynamics, and investigates trophic interactions through DNA-based methodologies.

Nasim AHMADZADEHمشاهده پروفایل

استادیار

• Computer Science
• Artificial Intelligence
• Neuroscience
• +۳ مورد دیگر

Dr. Nasim AHMADZADEH is an Assistant Professor in the Department of Computer Information Systems at Near East University. Her research focuses on deep learning methodologies for EEG-based emotion recognition and biomedical signal processing. Academic Affiliation: Near East University, Department of Computer Information Systems Core Research Areas: Artificial Intelligence, Neuroscience, and Biomedical Engineering applications in emotion detection and EEG signal analysis Her recent publications explore attention-enhanced CNN-BiLSTM models, VAE-based feature detection, and advanced neural architectures for emotion recognition. These works reflect interdisciplinary expertise in machine learning, medical informatics, and human-computer interaction.

Konstantinos Zagorisمشاهده پروفایل

مدرس

• Content-Based Image Retrieval
• Handwritten Text Recognition
• Document Image Processing
• +۳ مورد دیگر

Konstantinos Zagoris is a Lecturer in Databases and Distributed Systems at Neapolis University Pafos, Department of Computer Science. He coordinates ERASMUS programs and student affairs. Previously, he held research roles at Salford University, Institute of Informatics & Telecommunications (Demokritos), and Democritus University of Thrace. Education: Diploma in Electrical and Computer Engineering (2003) - Democritus University of Thrace, Greece PhD in Content and Metadata Based Image Document Retrieval (2010) - Democritus University of Thrace Research focuses on content-based image retrieval, handwritten text recognition, document image processing, and medical image analysis. He has authored over 40 publications in journals and conferences, emphasizing innovative methods like Fuzzy Delphi Method for staff selection, convolutional recurrent neural networks for historical manuscript recognition, and bio-inspired models for document enhancement. Led projects funded by Hellenic/EU grants, with notable contributions to competitions like ICDAR DIBCO and ICFHR H-KWS. His work bridges computer science and digital humanities, advancing archival digitization and medical diagnostic tools.

Christopher Alexanderمشاهده پروفایل

دانشیار

• Artificial Intelligence
• AI-enhanced Learning
• Technology Enhanced Learning (TEL)
• +۳ مورد دیگر

Dr. Christopher Alexander is an Associate Professor in Technology Enhanced Learning, Applied Linguistics, and TESOL at the University of Nicosia. He currently serves as Head of the AI Learning Centre (AI-LC), leading initiatives to integrate AI into educational practices. Previously, he led the Technology Enhanced Learning (TEL) Centre and the Distance Learning IT Unit, driving innovations like the NEPTON Test and e-learning strategies since 2004. His research focuses on AI-driven learning, learning design, and data analytics, with over 80 single-authored papers and 150+ AI/TEL-related publications. He co-edits the Journal of Teaching English with Technology (Scopus-indexed). As AI-LC director, he develops the Accelerate/PowerFlow platform to enhance teaching and learning via AI, collaborating across academic and IT teams. His work emphasizes AI-infused learning spaces, data-informed education, and pedagogical innovation. He has led five applications and numerous IT projects, ensuring the university remains a leader in AI-driven education. Research contributions span AI applications in education, learning analytics, and language technology. His recent studies address AI-generated writing detection in higher education and safety-critical AI systems in aviation. Collaborations include projects on UAV compliance and neural network-based image restoration. Dr. Alexander holds editorial leadership roles and has shaped UNIC's distance learning and blended learning strategies. His interdisciplinary approach bridges applied linguistics, computer science, and educational technology, contributing to UN Sustainable Development Goals through innovation in learning systems.

George Gregoriouمشاهده پروفایل

دانشیار

• Signal and Image Processing
• RFID Systems in Healthcare
• Medical Imaging
• +۷ مورد دیگر

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.

• Artificial Intelligence
• Bayesian Networks
• Computer Vision
• +۵ مورد دیگر

Professor Athena Stassopoulou is a faculty member at the University of Nicosia , serving as Head of the Department of Computer Science within the School of Sciences and Engineering. Her academic journey began with a BSc in Computer Science and Mathematics from the University of Manchester (UK) and a PhD in Artificial Intelligence from the University of Surrey (UK). She has held prestigious research roles at NASA Commercial Space Center, Ohio State University, and the National Imagery and Mapping Agency (USA), focusing on machine vision algorithms and image understanding. Education : BSc (University of Manchester), PhD (University of Surrey) Research Expertise : Uncertain reasoning, Bayesian Networks, Computer Vision, Machine Learning, Medical Informatics, Geographic Information Systems Her research spans decades, integrating Temporal Abstraction and Bayesian Networks for medical diagnosis, particularly in coronary heart disease. Recent work explores Adverse Drug Reaction Classification in Social Media and Dynamic Bayesian Network Models . Funded by NASA, EU, and Cypriot agencies, she has also contributed to web crawler detection and GIS-based decision-making systems. Notable collaborations include partnerships with Ohio State University and European institutions. Her career bridges theoretical AI with practical applications in healthcare and cybersecurity.

Theocharis Theocharidesمشاهده پروفایل

دانشیار

• Embedded Systems
• Hardware Acceleration
• Computer Vision
• +۳ مورد دیگر

Theocharis (Theo) Theocharides is an Associate Professor and Department Chair at the University of Cyprus's Department of Electrical and Computer Engineering. He serves as Director of Research at the KIOS Research and Innovation Centre of Excellence. Holding a Ph.D. in Computer Science and Engineering from Pennsylvania State University, his research focuses on designing intelligent embedded systems with specialization in domain-specific architectures, reconfigurable hardware, and low-power embedded processors. He leads the Embedded and Application-Specific System-on-Chip Lab, conducting projects in mobile systems, tinyML, embedded computer vision, pattern recognition architectures, and intelligent system monitoring. His pioneering work includes hardware acceleration for real-time object detection and depth estimation in embedded vision systems for robotics and cyber-physical applications. Current investigations focus on hardware-friendly ML algorithms for tinyML, visual information extraction, and distributed embedded vision systems involving drone swarms and robotic networks. Professor Theocharides has authored over 130 publications and serves as Associate Editor for prestigious journals including ACM's Computing Surveys and IEEE Transactions on Computer-Aided Design. As Technical Programme Committee Chair for DATE 2025, he maintains active involvement in the research community.