جست‌وجوی استاد و پژوهشگر

• Neurosurgery
• Deep Brain Stimulation
• Brain-Computer Interfaces
• +۴ مورد دیگر

Gerhard Friehs is a Professor at the Department of Medicine within the School of Medicine at European University Cyprus. He holds prominent roles including Director at IMASA (International Medical and Surgical Associates) in Cyprus and previously served as Chairman of the Neuroscience Institute at Baylor Scott & White Hospital, Texas. His academic qualifications include specialized residencies and fellowships in Neurosurgery, notably at the University of Minnesota and the University of Alabama. His research focuses on neurosurgical interventions, including Gamma Knife radiosurgery, Deep Brain Stimulation (DBS) for psychiatric disorders, and Brain-Computer Interfaces (BCIs) for neurorehabilitation. He has contributed to groundbreaking studies on vagus nerve stimulation for depression and neural decoding for paralyzed patients. His work bridges clinical practice and advanced technologies, emphasizing neuroprosthetics and neural signal processing. Notable awards include the Dean’s Teaching Excellence Award (2007), Rhode Island Top Doctor (2005), and multiple recognitions from the Austrian Medical Association for his pioneering Parkinsonism research. Friehs has led and co-investigated major projects, including the Braingate implantation initiative and studies on intrathecal ziconotide for chronic pain. His academic contributions extend to editorial and advisory roles, with a focus on advancing neurological treatments and translational neuroscience. Current efforts include developing tissue banks for neuroscience research and enhancing BCI applications for locked-in syndrome patients.

• eHealth
• mHealth
• Medical Imaging Analysis
• +۷ مورد دیگر

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 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.

• Marine Engineering
• Energy Systems
• Artificial Intelligence
• +۳ مورد دیگر

Constantinos Hadjistassou is a Professor at the Department of Engineering, School of Sciences and Engineering, University of Nicosia (Cyprus). He founded the Marine & Carbon Lab (www.carbonlab.eu) in 2016, focusing on marine environmental research and energy systems. His academic background includes a Master's from MIT, a Master of Science in Ocean Systems, and a DPhil in Engineering Science from the University of Oxford. Key Research Areas: Marine debris detection using AI, natural gas treatment/production, flow mechanics in porous media, offshore infrastructure reliability, decarbonization strategies, and microvascular oxygen transport modeling. Scientific Contributions: Pioneering work in subsea connector failure analysis, LNG processing, gas hydrate dynamics, and cybersecurity for offshore energy assets. External Roles: Program Chair for the Society of Petroleum Engineers International since 2021. His publications span marine engineering, energy systems, and biomedical applications, with a focus on computational modeling, deep learning, and environmental impact assessments. Recent projects include CyMIC (MIC Involvement in Damaged Water Pipes) as a collaborator.

Hasan Demirelمشاهده پروفایل

استاد

• Artificial Intelligence
• Image Processing
• Biomedical Image Processing
• +۳ مورد دیگر

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

Takis Kasparisمشاهده پروفایل

استاد

• Digital Signal Processing
• Remote Sensing
• Biomedical Engineering
• +۵ مورد دیگر

Professor Takis Kasparis holds a PhD in Electrical Engineering from the City University of New York and has taught at institutions including the University of Central Florida (UCF), where he earned prestigious teaching awards like the Joseph M. Biedenbach Outstanding Engineering Educator Award (IEEE). He currently works at the Cyprus University of Technology (CUT) in the Department of Electrical Engineering. His research focuses on Digital Signal Processing with applications in Remote Sensing , Biomedical Engineering , Communications , and Audio Processing . Notable contributions include studies on precipitation measurement techniques, medical ultrasound imaging, and tele-echography systems. His recent publications (2013–2020) address topics like disdrometer calibration, carotid artery analysis via ultrasound, and meteorological instrumentation. These reflect interdisciplinary strengths in environmental science and healthcare technology. Scientific Awards: Joseph M. Biedenbach Award (2013) Teaching Excellence: Multiple UCF teaching awards His work bridges electrical engineering fundamentals with practical applications in climate science and medical diagnostics, supported by advanced signal processing methodologies.

• Ophthalmology
• Pathological Anatomy
• Medical Genetics
• +۳ مورد دیگر

Trisevgeni Dinioti is a Scientific Associate in Ophthalmology at the European University Cyprus. She holds a PhD in Medicine from the National and Kapodistrian University of Athens and has specialized in Pathological Anatomy, with a focus on Ophthalmology. Employment: Scientific Associate at European University Cyprus (2018–2019), Ophthalmologist Specialist at the National and Kapodistrian University of Athens (2011–2015). Education: PhD in Medicine (2016), Postgraduate in Pathological Anatomy (2015), Medical Degree (2007) from Athens Medical School. Her research spans Ophthalmology , Medical Genetics , and Pathological Anatomy , with key projects on diabetic retinopathy genetics and eyelid wound healing mechanisms. She has contributed to publications in ocular diagnostics and systemic pathophysiology, including studies on gene polymorphisms and imaging techniques. Her work intersects diabetic complications , ocular trauma , and medical imaging , reflecting collaborations with multidisciplinary teams in academic hospitals. Research Coordination: Led 2016 eyelid wound healing project; participated in 2012 diabetic retinopathy genetics study. Labs: Affiliated with the Ophthalmology Clinic at Attiko Hospital, a leading academic medical center in Athens. Contact: T.Ntinioti@external.euc.ac.cy

• Neuroscience
• Neural Stem Cell Research
• Electromagnetic Field Applications in Medicine
• +۳ مورد دیگر

Jasmina Isakovic is a Lecturer in Histology at the European University Cyprus, School of Medicine, Frankfurt Branch. She actively contributes to academic leadership as Acting Vice-Chairperson while maintaining a research focus on neuroregeneration and electromagnetic field applications. Academic Appointment: Lecturer in Histology Institutional Affiliation: European University Cyprus Academic Role: Acting Vice-Chairperson Her research spans multiple neuroscience domains, particularly examining: Neural stem cell differentiation and regeneration Therapeutic applications of electromagnetic fields Mitochondrial dynamics in neurological disorders Development of automated imaging analysis tools (LUSCA) Neurodegenerative disease mechanisms Translational regenerative medicine approaches Recent publications highlight her work on electromagnetic field therapies for stroke rehabilitation, glial interactions, and computational modeling. She has developed open-source imaging tools to analyze cellular structures and investigates cross-organ regenerative mechanisms. While the text mentions Academic Advisory Services and Awards sections, specific details about scientific honors or advisory roles remain unlisted in the provided content.

Alexander Chefranovمشاهده پروفایل

استاد

• Fluid Dynamics
• Hydrodynamics
• Cryptography
• +۴ مورد دیگر

Professor Alexander Chefranov is a distinguished faculty member in the Department of Computer Engineering at Eastern Mediterranean University's Faculty of Engineering in Famagusta, North Cyprus. He has been serving at EMU since 2002, initially as a Visiting Associate Professor until 2009, then as Associate Professor until 2021, and has held the position of Professor since 2021. Originally from Russia/USSR, he earned his Engineer-Mathematician diploma from Taganrog Radio-Engineering Institute in 1978, followed by his PhD (Candidate of Engineering Sciences) in Computer Engineering in 1984, and later his Doctor of Engineering Sciences in 1998. Professor Chefranov's research spans multiple interdisciplinary fields with remarkable breadth. His primary research interests include fluid dynamics and hydrodynamics (particularly vortex dynamics, flow instability, and Navier-Stokes equations), cryptography and information security (with numerous publications on Hill cipher modifications and NTRU-like cryptosystems), image processing and steganography, and machine learning applications in scene recognition and medical imaging. His work demonstrates exceptional versatility across both theoretical mathematics and practical computer science applications. His recent publications through 2025 reveal a continued active research trajectory across all his interest areas, with particular emphasis on hydrodynamic instability theories, advanced cryptographic techniques, and deep learning applications. His work bridges fundamental mathematical physics with cutting-edge computer science applications, demonstrating unusual interdisciplinary range. Professor Chefranov is actively supervising graduate students, currently overseeing two PhD candidates (OLALEKAN EBENEZER IHINKALU and BEHNAM BOJNORDI ARBAB) and one Master's student (AMIRALI HATAMI), whose work focuses on steganalysis using deep learning approaches.

Rafaella Eliaمشاهده پروفایل

پژوهشگر

• Biomedical Signal Processing
• Machine Learning
• Pattern Recognition
• +۷ مورد دیگر

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.

• Cancer Cell Metastasis
• Tumor Microenvironment
• Focal Adhesion Signaling
• +۴ مورد دیگر

Vasiliki Gkretsi is an Associate Professor at the School of Sciences, European University Cyprus, Department of Life Sciences. She holds a Ph.D. in Cellular and Molecular Pathology from the University of Pittsburgh (2006) and a Diploma in Biology from the National and Kapodistrian University of Athens (2001). Her research focuses on cancer metastasis mechanisms, particularly the role of focal adhesion proteins like ILK, RSU-1, and GDF-15 in tumor progression. She has held academic roles including Assistant Professor (2017–2020) and Senior Scientist (2015–2017) at the University of Cyprus and University of Thessaly’s biomedical research institutes. Her work integrates bioengineering approaches with molecular biology to study tumor microenvironment dynamics, cell adhesion signaling, and metastatic processes. Key contributions include identifying RSU-1 as a dual-function regulator in breast and glioma cancers and exploring GDF-15’s role in metastasis. She has led projects funded by the European Society for the Study of the Liver (EASL Sheila Sherlock Fellowship) and the Research Promotion Foundation. Education: Ph.D., Cellular and Molecular Pathology, University of Pittsburgh (2006) Diploma in Biology, National and Kapodistrian University of Athens (2001) Awards: EASL Sheila Sherlock Fellowship (2012–2014) Stephen L. Phillips Scientific Achievement Award (2005) Roles: Special Issue Editor, International Journal of Molecular Sciences and Life Member of Bioethics Evaluation Committee for Biomedical Research Her research spans over 45 peer-reviewed articles and has been cited over 1,600 times (Google Scholar). She holds a provisional U.S. patent for anti-inflammatory methods targeting the actin cytoskeleton.

• Biomedical Engineering
• Atomic Force Microscopy (AFM)
• Cancer Nanomechanics
• +۵ مورد دیگر

Andreas Stylianou is an Assistant Professor at the European University Cyprus (Nicosia), affiliated with the School of Sciences' Department of Health Sciences. He holds dual PhDs: one in Applied Biophysics from the National Technical University of Athens (2014) and another in Healthcare Management from the Open University of Cyprus (2018). His research focuses on atomic force microscopy (AFM) applications in cancer diagnosis, tumor microenvironment mechanics, and collagen-based biomaterials. He has led projects funded by the Cyprus Research and Innovation Foundation and the European Research Council, including principal investigator roles in 'MehanoSarcoma' and 'PACA-FingerPrints'. Stylianou has received the 2019 Cyprus Young Researcher Award and multiple 'Progress of Science' accolades. His work bridges biophysics, nanotechnology, and clinical oncology, with over 50 peer-reviewed publications and active involvement in international conferences. Education: B.Sc. Applied Mathematical & Physical Sciences (2007, NTUA) MSc Nanotechnology in Medical Imaging (2011, The Open University) Ph.D. Optical Radiation Effects on Collagen (2014, NTUA) Ph.D. Healthcare Management (2018, Open University of Cyprus) Research Interests: AFM-based nanomechanical profiling of cancer cells, collagen mechanics in disease, correlative microscopy techniques, and translational nanomedicine. His lab develops mechanical biomarkers for cancer prognosis and treatment monitoring, emphasizing tumor stiffness and extracellular matrix dynamics. Publications: His work spans AFM methodology improvements, cancer nanomechanics, and therapeutic applications. Notable contributions include defining nanomechanical fingerprints for early cancer diagnosis and elucidating TGF-β's role in pancreatic cancer fibroblasts. Awards: Cyprus Research Award (2019), 1st Poster Award (2018), Thomaidio Foundation Awards (2013–2011) Grants: €1M+ in funding for projects analyzing tumor mechanics and immunotherapy optimization Teams/Labs: Leads the 'MechanoSarcoma' initiative and collaborates with the ReEngineeringCancer ERC project

• Multiple Sclerosis
• Neurology
• Neuroimmunology
• +۲ مورد دیگر

Dr. Marios Pantziaris is a Visiting Associate Professor in Neurology at European University Cyprus's School of Medicine and Director of Neurology at The Cyprus Institute of Neurology and Genetics. He holds an MD and specialist neurology qualification from Aristotle University of Thessaloniki. His research focuses on multiple sclerosis biomarkers, neuroimaging techniques, and therapeutic interventions. Key investigations include autoimmune antibody profiles in MS progression, ultrasound assessment of carotid arteries, and telemedicine applications for neurological diagnostics. He leads the MS Clinic at Cyprus Institute of Neurology and Genetics. Research projects include studies on modifier genes affecting MS severity (2010-2012), microRNA profiles in interferon-resistant MS patients (2009-2011), and clinical trials of novel nutraceutical formulations for MS treatment (2013-2015). His publications demonstrate expertise in neuroimmunology and medical imaging applications in neurology.

Andria Nicolaouمشاهده پروفایل

عضو هیئت علمی

• Biomedical Engineering
• Biomedical Imaging
• Biosignal Processing Systems
• +۳ مورد دیگر

Dr. Andria Nicolaou is an Associate Lecturer at the University of Central Lancashire Cyprus (UCLan Cyprus), specializing in Data Analytics. She holds a PhD in Computer Science (University of Cyprus, 2024), an MSc in Molecular and Applied Physiology (National and Kapodistrian University of Athens, 2019), and a BSc in Computer Engineering with a Biomedical minor (University of Cyprus, 2017). She is also a Research Associate at CYENS Centre of Excellence and has previous roles as a Teaching Assistant at the University of Cyprus and a Research Assistant at the Biomedical Research Foundation of the Academy of Athens. Her research focuses on Biomedical Engineering, particularly in Biomedical Imaging and Biosignal Processing Systems, alongside Explainable Artificial Intelligence (XAI) in healthcare applications. She has published extensively on topics such as MRI analysis in multiple sclerosis (MS) and XAI models for sepsis prediction. Notable awards include the Best Paper Award at the 2023 IEEE EMBS International Conference on Biomedical and Health Informatics and recognition as a finalist in the 2024 She STEMs Symposium for Early-Stage Greek Woman Scientists. Dr. Nicolaou teaches the Exploratory Data Analysis module in the MSc Data Analytics program at UCLan Cyprus. Her work bridges clinical data with advanced AI techniques, emphasizing ethical and interpretable solutions for healthcare challenges. She is a member of the IEEE and the IEEE Engineering in Medicine and Biology Society (EMBS).

• Image Processing
• Facial Expression Recognition
• Pattern Recognition
• +۳ مورد دیگر

Prof. Dr. Hasan Demirel is a faculty member in the Department of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU). He holds a PhD in Electrical and Electronic Engineering from Imperial College London (2003), an MS in Computer Science from EMU (1993), and a BS in Electrical and Electronic Engineering from EMU (1992). His research focuses on image and video processing, facial expression recognition, pattern recognition, and biomedical applications. He has authored/co-authored over 100 peer-reviewed publications and supervised numerous PhD and MS students in areas such as Alzheimer's disease detection using MRI, SAR target recognition, and deep learning for emotion synthesis. Prof. Demirel's awards include multiple EMU Publication Citation Awards (2017–2021). He has led projects on multimodal emotion recognition and developed systems for real-time face recognition using robotics platforms like NAO humanoid robots. His work integrates machine learning techniques with medical imaging, remote sensing, and computer vision. He currently serves as a faculty member at EMU, contributing to academic programs and advising students in electrical engineering and biomedical engineering. His research labs focus on advancing AI-driven solutions for healthcare diagnostics and visual surveillance systems.