Find Academic Supervisors

• 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 FilippouView profile

Researcher

• Medical Engineering
• Machine Learning
• Signal Processing
• +5 more

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
• +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.

Rasime UyguroğluView profile

Associate Professor

• Antenna Engineering
• Biomedical Engineering
• Microwave Systems
• +5 more

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
• +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.

• Otolaryngology
• Neuro-otology
• Audiovestibular Medicine
• +6 more

Georgios Korres currently serves as a Visiting Assistant Professor in the Department of Otolaryngology (ENT) at the University of Athens, School of Medicine. He holds a PhD (2009) and MD (2006) from the University of Athens, specializing in ENT and Neuro-otology, along with a BSc (Hons) in Cell and Molecular Biology from Anglia Ruskin University (1999). Academic Qualifications PhD in ENT (University of Athens, 2009) MD in Medicine (University of Athens, 2006) BSc (Hons) in Cell and Molecular Biology (Anglia Ruskin University, 1999) His research focuses on vestibular disorders , occupational hearing loss , genetic factors in hearing impairment , and ENT surgical outcomes . Recent work includes systematic reviews on otosclerosis treatments and dizziness in COVID-19 patients, as well as investigations into cervical VEMP recordings post-stapedotomy and autoimmune vestibulopathy. Notable collaborations include projects at the Royal National Throat, Nose and Ear Hospital (UCL) and Central Manchester University Hospitals. He also contributes to the editorial board of Brain Sciences Journal and participates in the European Board Examination of Otorhinolaryngology.

• Biophysics
• Neurophysiology
• Sleep Research
• +3 more

Prof. Dr. Murat ÖZGÖREN is a Professor in the Department of Biophysics at Dokuz Eylül University. He holds significant roles in EU research infrastructure initiatives, including serving as the Turkish National Delegate to the EU Research Infrastructure Agency (ESFRI) and member of the ESFRI Forum. Previously, he served as Vice Rector for Research and Technology at Dokuz Eylül University (2012–2016), during which he established DEPARK-Health, Turkey’s first integrated Health Technopark. His expertise extends to entrepreneurship ecosystems, leading the International Health Technologies Accelerator (Bioİzmir) and contributing to national biomedical councils. Education: Graduated from Ege University Faculty of Medicine, completed residency in Family Medicine, and earned a PhD in Biophysics with NATO-funded research at the University of Miami. Research focuses on sleep neurophysiology, EEG analysis, and biomedical engineering applications. He actively advises on EU strategic roadmaps for health infrastructure and participates in G20/T20 initiatives. Research interests include sleep architecture, sensory processing during sleep, and Parkinson’s disease diagnostics via EEG. His work bridges clinical neurophysiology with technological innovation, such as developing molecularly imprinted nanoparticles for environmental analysis and designing biomedical sensor systems. Through DEPARK and Bioİzmir, he fosters health tech entrepreneurship, emphasizing sustainable healthcare solutions and translational research. Awards and grants are not explicitly listed, but his contributions to EU policy frameworks and health infrastructure development highlight his impactful career.

John Bush IdokoView profile

Assistant Professor

• Machine Learning
• Computer Vision
• Signal Processing
• +2 more

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.

Eftychia PinakoulakiView profile

Associate Professor

• Biophysics
• Bioanalytical Chemistry
• Biochemistry
• +3 more

Eftychia Pinakoulaki is an Associate Professor at the Department of Chemistry, University of Cyprus, within the School of Natural and Applied Sciences. Her academic journey includes a Diploma in Chemistry (1998) and PhD in Chemistry (2002) from the University of Crete, followed by postdoctoral work as an EMBO Long-term Fellow at Johann Wolfgang Goethe University, Germany (2003–2004) and the University of Crete (2004–2006). She joined the University of Cyprus as a Lecturer (2007–2012), progressed to Assistant Professor (2012–2018), and has been Associate Professor since 2018. Her research focuses on Biophysics and Bioanalytical Chemistry , employing advanced spectroscopic techniques like FTIR, time-resolved step-scan FTIR, and resonance Raman spectroscopy combined with HPLC. Key areas include: Protein dynamics in heme sensors (e.g., HemAT) and oxidases Nitrite/NO coordination mechanisms in myoglobin and peroxidases Food chemistry applications (carob antioxidant properties, structural analysis) Biosurfactant production from microbial strains Publications (2015–2023) demonstrate a strong emphasis on spectroscopic elucidation of protein-ligand interactions and food-component dynamics. Recent work explores thermal effects on biomolecules, carob's functional properties, and environmental microbiology. Awards & Honors: EMBO Long-term Fellowship (2003–2004) No explicit mentions of grants, student advising, or lab/team structures were found in the provided text.

• 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.

• Health Psychology
• Affective Processing
• Interoception
• +7 more

Elena Constantinou is a Lecturer in Research Methods at the School of Humanities, Social and Education Sciences at European University Cyprus , Nicosia, Cyprus. Her academic career spans institutions including the University of Cyprus and King’s College London, with a focus on psychophysiological research and emotion processing. PhD in Psychology (2014) - University of Leuven, Health Psychology Group M.A. in Developmental/Cognitive Psychology (2009) - University of Cyprus B.A. in Psychology (2006) - University of Cyprus Her research investigates interoception , alexithymia , fear conditioning , and emotion regulation , particularly in relation to medically unexplained symptoms and stress-related syndromes . She has pioneered remote experimentation frameworks via the FLARe app and contributed to computational models linking physiological reactivity to anxiety severity. Recent work emphasizes distress tolerance , genetic/environmental influences on fear learning , and biomarker development for chronic conditions like fibromyalgia. Publications span journals including Psychosomatic Medicine , Psychophysiology , and Journal of Psychosomatic Research .

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.