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Edna YamasakiView profile

Professor

• Neurosciences
• Biophysics
• Public Health
• +4 more

Professor Edna Yamasaki is the Head of the Department of Life and Health Sciences at the University of Nicosia's School of Sciences and Engineering, and serves as Vice Rector for Academic Affairs. Her career spans roles in academia, research, and administrative leadership. She holds a Medicine degree from Federal Fluminense University (Brazil), followed by MSc/PhD in Biophysics (Neurobiology) from Federal University of Rio de Janeiro, and postdoctoral training at institutions including Harvard Medical School (USA) and the University of Cyprus. Her research focuses on nervous system development/degeneration, public health implications of climate change, and biomedical materials. Notable projects include the CYPHEW initiative (identifying Cyprus's heat-related health risks), polymer development for biological applications, and Erasmus+ programs promoting health-enhanced physical activity. She has contributed to environmental hydrodynamic modeling, health information systems evaluation (DIPSA framework), and disaster risk assessments for oil spills. Her work bridges neuroscience, environmental science, and public policy. Recent studies highlight aging populations' health challenges and the impact of extreme weather on mortality and hospital admissions in Cyprus. She actively collaborates on EU-funded projects addressing work safety, healthcare informatics, and climate adaptation. Professional milestones include coordinating interdisciplinary teams across multiple continents and transitioning between laboratory research to institutional leadership roles. Her leadership emphasizes fostering curiosity-driven research while addressing societal health challenges.

• Optimization Algorithms
• Computer Vision
• Machine Learning
• +3 more

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.

• 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.

Michalis MichaelidesView profile

Assistant Professor

• Communication Systems
• Wireless Sensor Networks
• Environmental Monitoring
• +6 more

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.

Hakan AltınçayView profile

Professor

• Machine Learning
• Data Mining
• Pattern Recognition
• +3 more

Prof. Hakan Altınçay is a Full Professor in the Department of Computer Engineering at Eastern Mediterranean University (EMU). He holds a PhD from Middle East Technical University (METU), Turkey (2000), and has been at EMU since 2000, progressing from Assistant Professor (2000–2005) to Full Professor (2012–present). His research focuses on machine learning, including imbalance learning, feature selection, ensemble methods, and biomedical data analysis. He has supervised 10+ PhD and Master’s theses and authored over 50 journal and conference papers. Education: BEng in Electrical and Electronics Engineering (METU, 1993), MSc and PhD in Electrical Engineering (METU, 2000). Awards include the IEEE Third Best Paper Award (2003) and TÜBİTAK PhD Scholarship. He serves on editorial boards (e.g., Applied Intelligence Journal) and chairs academic committees at EMU. Key contributions include algorithms for imbalanced data classification (MaMiPot), feature selection techniques, and biomedical applications like diabetes prediction. His work addresses challenges in text categorization, speaker verification, and ensemble classifier design.

Aristidou AndreasView profile

Associate Professor

• Human Motion Analysis
• Computer Graphics
• Machine Learning
• +3 more

Aristidou Andreas is an Associate Professor at the Department of Informatics, University of Cyprus. His academic journey includes a BSc from National and Kapodistrian University of Athens (2005), MSc from King's College London (2006), and a PhD from the University of Cambridge (2011). He has held postdoctoral positions at multiple institutions and served as a visiting professor at the University of Nicosia. His research focuses on human motion analysis, computer graphics, cultural heritage digitization, and geometric algebra applications. He is a senior member of IEEE, ACM, and Eurographics, and serves on editorial boards for journals like The Visual Computer. Research highlights include the FABRIK algorithm (widely used in game engines) and motion capture innovations for cultural heritage preservation. Awards include the DIDAKTOR scholarship, Erasmus Mundus Grant, and NVIDIA GPU grant. He leads projects funded by EU initiatives (e.g., ITN-DCH, SCHEDAR) and collaborates internationally on digital twins, virtual museums, and AI-driven motion synthesis. Key contributions span 3D motion analysis, motion reconstruction from sparse data, and emotion recognition in theater performances. His work bridges computational methods with cultural preservation, biomedical applications, and interactive VR systems.

• 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.

• Hematology
• Pediatric Oncology
• Biomedical Informatics
• +4 more

Dr. Vasiliki Danilatou is an Assistant Professor in the Department of Medicine at the University of Crete School of Medicine. She holds a Medical Degree (1996) and a PhD in Medical Science (2001, University of Crete), specializing in photodynamic therapy for pediatric malignancies. Her career includes roles as an Attending Hematologist at General Hospital Venizeleio (2011–present) and a researcher at FORTH’s Metagenomics Lab (2007–2010). Her research focuses on hematology, biomedical informatics, and machine learning applications in healthcare, particularly in venous thromboembolism risk assessment and critical care outcomes. Key projects include the HERCULES initiative (2009–2011), integrating genetics and informatics for neurological disorder management, and a 2021 project on big data analytics for venous thromboembolism prediction. She has been certified as an International Board Certified Lactation Consultant (2008, 2013, 2018) and received the Odysseus Kaligiannis Award (1998). Her recent work emphasizes AI-driven healthcare solutions, including mortality prediction in ICU stroke patients and transparency metrics for clinical AI systems. She collaborates on interdisciplinary teams, such as the ACGT-Advanced Clinicogenomic Trials in Cancer FP6 project.

Nasim AHMADZADEHView profile

Assistant Professor

• Computer Science
• Artificial Intelligence
• Neuroscience
• +3 more

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.

Christakis DamianouView profile

Professor

• MRI-Guided Therapeutic Ultrasound
• MRI-Compatible Robotics
• Medical Imaging
• +7 more

Christakis Damianou is a Professor at the Department of Electrical Engineering, Computer Engineering and Informatics at Cyprus University of Technology. His research focuses on MRI-guided therapeutic ultrasound, MRI-compatible robotics, and phantom development for biomedical applications. He holds a PhD in Electrical Engineering from the University of Arizona (1993), with prior roles including postdoctoral fellowships at Harvard University and Indiana University. Damianou has coordinated 15 of 45 research programs, including initiatives such as ULTRASOUND I, SONOTHERM, and ABLASONIC, emphasizing FUS systems and robotic interventions. His education includes a B.Sc., M.Sc., and Ph.D. in Electrical Engineering from the University of Arizona (1988–1993). His work spans MRI thermometry, tumor ablation, and BBB disruption therapies, with contributions to preclinical and clinical robotic systems. Key innovations include the first MRI-compatible 3D printer and advanced software for treatment planning. He has developed phantoms for evaluating FUS protocols, acoustic properties of tissues, and thermal effects in brain/skull models. Research interests include optimizing FUS for transcranial applications, breast cancer ablation, and thrombolysis. His robotic systems enable precise targeting in MRI-guided interventions, addressing challenges like motion accuracy and near-field heating. Damianou’s work bridges biomedical engineering and clinical needs, with applications in oncology, neurology, and veterinary medicine.

• 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.

Hasan DemirelView profile

Professor

• Artificial Intelligence
• Image Processing
• Biomedical Image Processing
• +3 more

Prof. Dr. Hasan Demirel is a Professor at the Department of Electrical and Electronic Engineering, Eastern Mediterranean University (EMU). He holds a PhD from Imperial College London (1998) and joined EMU in 2000 as Assistant Professor, advancing to full Professor by 2014. He served as Department Chairman (2014–2020) and Acting Rector/Provost (2020–2023). His research focuses on AI and biomedical image processing, with over 75 SCI publications, 100 conference papers, and 8,700 citations. He has supervised 14 PhD and 29 MSc students. Education: PhD in Electrical and Electronic Engineering, Imperial College London (1998) MSc in Electrical Engineering, King's College London (1993) BSc in Electrical and Electronic Engineering, Eastern Mediterranean University (1992) Research Interests: Prof. Demirel specializes in AI-driven biomedical image processing, including applications in cancer diagnosis, Alzheimer’s disease classification, and facial emotion recognition. His work integrates deep learning, image fusion techniques, and signal processing for healthcare solutions. Professional Contributions: He has served as an associate editor for 15+ journals, reviewed conferences, and chaired sessions. Active in IEEE Signal Processing Society and Cyprus Turkish Chamber of Electrical Engineers. Administrative Roles: Acting Rector/Provost, EMU (2020–2023) Chairman, Department of Electrical and Electronic Engineering (2014–2020) Deputy Director, Advanced Technologies Research and Development Institute Member, EMU Technopark Executive Council

Rafaella EliaView profile

Researcher

• Biomedical Signal Processing
• Machine Learning
• Pattern Recognition
• +7 more

Rafaella Elia is a Researcher at the University of Cyprus, Department of Electrical and Computer Engineering, affiliated with the KIOS Research and Innovation Center of Excellence. Since April 2025, she has been contributing to the GuardAI project, focusing on robust and secure AI systems for safety-critical applications. Her academic journey at the University of Cyprus included a Ph.D. in biomedical signal processing, machine learning, and wearable sensors (2024) and a B.Sc. (2017). Ph.D., Electrical and Computer Engineering, University of Cyprus (2024) B.Sc., Electrical and Computer Engineering, University of Cyprus (2017) Her research spans biomedical signal processing, wearable sensors, and secure AI systems. She applies machine learning to UAV operations, smart grid cybersecurity, and computer-aided medical diagnostics. Her work integrates sensor data analysis with anomaly detection in autonomous systems. Recent publications highlight her focus on UAV-ground robotics cybersecurity, real-time embedded systems, and dataset optimization. She explores intersections of human-machine interaction, wearable sensor fusion, and robust AI implementation for safety-critical infrastructure. Elia actively contributes to academic leadership as Student Activities Chair of the IEEE Cyprus Section, promoting student engagement and technical initiatives.