جستجوی استاد راهنمای دانشگاهی

• eHealth
• mHealth
• Medical Imaging Analysis
• +۴ مورد دیگر

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.

• 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.

• Neurology
• Multiple Sclerosis
• Medical Imaging
• +۳ مورد دیگر

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.

• 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.

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.

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.

ERHAN İNCEمشاهده پروفایل

استاد

• Mobile Communications
• Channel Coding
• Multi-carrier Techniques (OFDM, OFDMA)
• +۷ مورد دیگر

Prof. Erhan İnce is a faculty member in the Department of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU), where he has served since 1998. He holds a PhD in Communications from the University of Bradford (1997) and MS/BS degrees in Electrical and Electronic Engineering from the University of Bucknell (1992, 1990). His research focuses on mobile communications, channel coding, OFDM/OFDMA, statistical signal processing, and facial recognition. He has supervised numerous PhD and MS students, including Ramin Bakhshi, Syed Amjad Ali, and Waseem Qassab Bash. Key projects include 'Monitoring KKTCELL's Base Stations' (2018-2019) and 'Background Subtraction and Lane Occupancy Analysis' (2011). He received an award at the 1998 Symposium on Communication Systems & Digital Signal Processing. His work spans peer-reviewed journals (IEEE Access, Digital Signal Processing) and books on video surveillance. He actively contributes to IEEE and other academic communities.