جستجوی استاد راهنمای دانشگاهی

• Computational Neuroscience
• Neural Networks
• Machine Learning

Christodoulou Chris is a Professor at the Department of Computer Science, University of Cyprus. He joined in 2005 and holds a Visiting Research Fellowship at Birkbeck College, University of London. His educational background includes a BEng in Electronic Engineering from Queen Mary and Westfield College (1991), a PhD in Neural Networks from King's College London (1997), and a BA in German from Birkbeck College (2008). His research focuses on Computational Neuroscience, Neural Networks, and Machine Learning, with specific interests in neural coding, self-control modeling, computational neuronal modeling, multi-agent reinforcement learning, and practical machine learning applications. Recent publications (2013-2025) demonstrate interdisciplinary approaches combining neuroscience, computer science, and optimization techniques, with emerging emphasis on protein structure prediction and biomedical applications. Scientific awards include: Best Paper Award, ICSR 2015 Best Paper Award, MODELS 2008 Doctoral Symposium He leads the Computational Intelligence and Neuroscience (CIN) research group and has secured funding from European projects (SocioCoast, CYberSafety, TAMIT). He mentors students through Google Summer of Code and collaborates internationally.

Valeria Filippouمشاهده پروفایل

پژوهشگر

• Medical Engineering
• Machine Learning
• Signal Processing
• +۵ مورد دیگر

Valeria Filippou is a Researcher at the Computation-based Science & Technology Research Center (CaSToRC) within The Cyprus Institute. She holds an MEng in Medical Engineering, an MSc in Tissue Engineering and Regenerative Medicine, and a PhD in Medical Engineering with a focus on Machine Learning, Signal Processing, and Wearable Technologies from the University of Leeds. Her research spans interdisciplinary applications of AI in healthcare, financial services, and environmental monitoring. Key areas include developing credit risk models, medical diagnostics algorithms, AI-driven data privacy solutions, and consulting on large language models (LLMs) and retrieval-augmented generation (RAG) systems. Her recent publications focus on wearable sensor data analysis for activity recognition, multimodal prediction of psychological conditions like alexithymia, and advancements in medical imaging phantoms via 3D printing. These works bridge computational methods with practical healthcare and environmental monitoring challenges. No scientific awards or grant details are explicitly stated in the provided information.

• 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.

Rasime Uyguroğluمشاهده پروفایل

دانشیار

• Antenna Engineering
• Biomedical Engineering
• Microwave Systems
• +۵ مورد دیگر

Assoc. Prof. Dr. Rasime Uyguroğlu is an academic at Eastern Mediterranean University, specializing in antenna engineering and biomedical applications. She holds the rank of Associate Professor and has contributed to research in electromagnetic systems, medical imaging, and health monitoring technologies. Her work focuses on antenna design for cancer detection, wireless body channel communication, and advanced microwave systems. Her research interests include the development of antennas for biomedical diagnostics, optimization of antenna arrays, and application of metamaterials in antenna systems. She has served as an associate editor and reviewer for academic journals, demonstrating her active role in the scientific community. Prof. Uyguroğlu's publications span topics such as breast cancer detection using patch antennas, fracture healing monitoring via implanted antennas, and millimeter-wave massive MIMO systems. Her work bridges engineering and medicine, with a focus on practical solutions for healthcare challenges. She actively supervises master's and PhD students in thesis projects related to antenna design and biomedical applications. Her contributions reflect a commitment to advancing both theoretical and applied aspects of electromagnetic engineering in health-related contexts.

• 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.

Polyvios Eleftheriouمشاهده پروفایل

استادیار

• Renewable Energy
• Solar Technology
• Materials Science
• +۳ مورد دیگر

Assist. Prof. Polyvios Eleftheriou holds a position at the Department of Mechanical Engineering and Materials Science and Engineering at Cyprus University of Technology since 2008. Previously, he served as Assistant Professor at Tennessee Tech University (1987-88) and lecturer at HTI-Nicosia (1988-2005). His academic journey includes roles in the Ministry of Interior (2005-2008). He holds a PhD (1987), MS (1984), and BSME (1982) from Tennessee Tech University, alongside a Diploma from HTI (1979). His research focuses on renewable energy systems, particularly solar technology, materials science, and nanotechnology applications. He pioneered work on perovskite solar cells, surface engineering for energy devices, and energy-efficient building design. His work also extends to biomedical engineering, including stent material analysis and inflammatory response studies. Prof. Eleftheriou has extensively contributed to educational technology, developing remote solar energy laboratories for e-learning. Notable projects include the Solar E-Lab platform enabling real-world experimentation over the internet. His publications span over three decades, addressing topics from HVAC fan optimization (1987) to cutting-edge nanomaterials (2021). His work emphasizes interdisciplinary approaches, blending engineering with environmental and biomedical applications. Current research trends include improving solar cell efficiency through novel materials and advancing sustainable building design in Mediterranean climates.

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.

• Endodontics
• Regenerative Dentistry
• Dental Pulp Biology
• +۲ مورد دیگر

Anna Digga is an Assistant Professor in the Department of Dentistry at the European University of Cyprus's Dental School. She holds a PhD (2013), Master's (2000), and Bachelor's (1998) from Aristotle University of Thessaloniki, Greece, with her doctoral thesis focusing on immunochemical studies of dental pulp vessels and 3D representation. Her research specializes in regenerative endodontics , particularly leveraging stem cell technology for dental tissue repair, and explores dental pulp biology, 3D reconstruction techniques, and clinical endodontics. Recent publications emphasize systematic reviews and experimental studies in regenerative therapies. She received the Postdoctoral Research Fellowship (2019-2021) from Greece's State Scholarships Foundation for her project: "Regenerative techniques in Endodontics: study of cryopreservation effects on Stem Cells of Apical Papilla (SCAPs)." Dr. Digga has contributed to international research collaborations, including EU-funded projects on 3D reconstruction in dentistry (e.g., "TASTY" program) and served as a reviewer for the Journal of Medicine and Life .

• Software Engineering
• Protocol Specification and Testing
• Quality Assurance
• +۳ مورد دیگر

Andreas Grontoudis serves as Assistant Professor in the Department of Computer Science and Engineering at the School of Sciences, European University of Cyprus since October 2007, following prior appointments as Assistant Professor at Cyprus College (2003-2007) and senior software development manager at Quad Computer Services (2001-2003). His academic credentials include: PhD in Computer Science, University of Sheffield (2000) - Thesis: X-machine based specification and design for testing of the CATV protocol MSc (Eng) in Computer Science, University of Sheffield (1994) - Thesis: An initial approach to X-machine specification of Distributed systems BSc in Computer Science, University of East Anglia (1993) - Thesis: A computer automated measurement system Dr. Grontoudis specializes in bridging theoretical computer science with practical applications, particularly in protocol specification using X-machines, quality assurance systems for medical imaging, and disaster monitoring technologies. His research evolved from foundational work in formal methods for protocol testing to applied solutions in diagnostic imaging toolboxes and integrated surveillance systems for forest fires/disasters using aerial and space-based platforms. Recent work focuses on educational software for IT vocational training. His publication history demonstrates consistent interdisciplinary contributions spanning biomedical engineering, environmental monitoring, and software engineering, with emphasis on translating theoretical models into real-world safety-critical applications. Professional recognition includes: Third Party Developer Pegasus Opera II award (Pegasus Software, 2001) First Certificate in English (University of Cambridge, 1985) Research leadership spans multiple EU-funded initiatives: Interfaces project (2016-2020): Website and learning platform management for EU interdisciplinary music program JOBIT project (2015-2017): Researcher for Erasmus+ vocational training software development YPE NEPRO0204_02 (2004-2006): Research assistant and software programmer for Cyprus Research Foundation He maintains active scholarly engagement through his Google Scholar profile and continues developing applied solutions at the intersection of computer science and critical domain applications.

• 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.

Kosmia Loizidouمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Medical Image Processing
• Machine Learning
• +۲ مورد دیگر

Kosmia Loizidou serves as a Post-Doctoral Researcher at the KIOS Research and Innovation Center of Excellence, University of Cyprus, following the completion of her Ph.D. in Electrical Engineering from the same institution in June 2023. Her doctoral research focused on Detection, Classification, and Prediction of Breast Abnormalities using Sequential Mammograms. Her academic credentials include: BSc in Mechanical and Manufacturing Engineering with a minor in Biomedical Engineering from the University of Cyprus (2016) MSc in Electrical Engineering, specializing in Biomedical Engineering, from the University of Cyprus (2018) PhD in Electrical Engineering from the Department of Electrical and Computer Engineering, University of Cyprus (2023) Dr. Loizidou's research centers on biomedical engineering with a specialized focus on medical image processing and machine learning applications for cancer diagnosis. She pioneers methodologies for breast cancer detection through temporal subtraction of sequential mammograms, developing advanced computer-aided diagnosis systems that classify masses and micro-calcifications while predicting near-term cancer occurrence. Her work bridges engineering innovation with clinical oncology to enhance early detection accuracy. Analysis of her publication trajectory reveals a concentrated research program leveraging machine learning and image processing on sequential mammograms. Key themes include temporal subtraction techniques for improving cancer localization, classification of benign versus malignant abnormalities, and predictive modeling of near-term breast cancer development. Her contributions span algorithm development, comprehensive reviews, and specialized applications for micro-calcifications and mass detection. Scientific awards: No awards or fellowships are documented in the provided information. Regarding academic mentoring and funding, no details are available about supervised students or secured research grants. Her professional activities appear centered on independent research within the KIOS framework. She operates within the KIOS Research and Innovation Center of Excellence, a premier hub for intelligent systems research at the University of Cyprus focused on critical infrastructure networks. This environment supports her interdisciplinary work at the intersection of biomedical engineering, computer science, and oncology.

• Clinical Psychology
• Eating Disorders
• Child and Adolescent Mental Health
• +۵ مورد دیگر

Dr. Maria Koushiou is an Assistant Professor in the Department of Social Sciences at the University of Cyprus. She holds a PhD in Clinical Psychology from the University of Cyprus and has taught at the University of Central Lancashire (Cyprus Campus), focusing on Health Psychology and Applied Psychology courses. Her research, conducted in collaboration with the ACThealthy Lab, explores eating disorders, emotion regulation in children and adolescents with chronic health conditions (e.g., congenital heart disease), and the effectiveness of Cognitive-Behavioral Therapy (CBT) and Acceptance and Commitment Therapy (ACT). Key themes include psycho-physiological mechanisms underlying eating disorders and the role of mindfulness in psychological well-being. Dr. Koushiou has practical experience with the Humanitarian Organization 'Hope for Children' CRC Policy Center and the Ministry of Education and Culture’s Educational Psychology Services. Her work emphasizes child and family clinical services, national/EU child rights programs, and social welfare initiatives. She is affiliated with the University of Nicosia’s Center for Therapy, Training, and Research (KESY). Her research output spans 15 peer-reviewed articles (2018–2025), with recent focus on: 1) the moderating impact of mindfulness on psychological well-being, 2) cognitive functioning in congenital heart disease patients, and 3) stress responses in eating disorder populations. Her work bridges clinical practice, child psychology, and public health, addressing SDGs like Good Health and Well-being (SDG 3). Notably, Dr. Koushiou’s studies employ systematic reviews (e.g., meta-analyses on congenital heart disease) and innovative methods like machine learning for psychophysiological data analysis. She advocates for culturally responsive mental health interventions, particularly for unaccompanied minors and marginalized groups. Her research emphasizes interdisciplinary collaboration and translational science to improve clinical outcomes.

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.

Christakis Damianouمشاهده پروفایل

استاد

• MRI-Guided Therapeutic Ultrasound
• MRI-Compatible Robotics
• Medical Imaging
• +۷ مورد دیگر

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.