جستجوی استاد راهنمای دانشگاهی

• Machine Learning
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Pouya Bolourchi is an Associate Professor in the Faculty of Engineering at Final University. He holds a Doctoral Degree in Electrical and Electronic Engineering from Eastern Mediterranean University (2018), a Master's Degree from the same institution (2012), and a Bachelor's Degree from Girne American University (2009). His research focuses on machine learning applications in biomedical engineering, optimization algorithms, medical imaging, and signal processing. Key research interests include Alzheimer's disease diagnosis through statistical methods, SAR (Synthetic Aperture Radar) image recognition using moment-based techniques, and industrial optimization problems leveraging swarm intelligence (e.g., particle swarm optimization). His work bridges computational methods with real-world applications in healthcare and engineering systems. Recent publications emphasize advancements in feature selection strategies, ensemble learning, and genetic algorithm implementations for medical diagnostics and industrial system reliability. Notable contributions include improving gene expression analysis via entropy-fisher score and developing novel approaches for Parkinson’s disease detection using biogeography-based optimization. His academic contributions span over 20 peer-reviewed articles, with a focus on interdisciplinary applications of machine learning in healthcare, remote sensing, and industrial engineering. Collaborations highlight the practical deployment of optimization algorithms in electrostatic precipitator systems and baghouse design.

• Machine Learning
• Biomedical Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Yrd. Doç. Dr. Ghazaal Sheikhi is an Assistant Professor in the Department of Artificial Intelligence Engineering at Final University, within the Faculty of Engineering. Her research focuses on machine learning applications in healthcare, biomedical engineering, and natural language processing. She holds a Ph.D. in Computer Engineering from Eastern Mediterranean University (2020), an M.Sc. in Biomedical Engineering from Amirkabir University of Technology (2007), and a B.Sc. in Biomedical Engineering from the University of Isfahan (2003). Education: Doctoral Degree in Computer Engineering, Eastern Mediterranean University, North Cyprus (2020) Master's Degree in Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran (2007) Bachelor's Degree in Biomedical Engineering, University of Isfahan, Isfahan, Iran (2003) Her research interests span Machine Learning, Biomedical Engineering, and Natural Language Processing. She specializes in applying deep learning techniques to medical image analysis, developing explainable AI models for healthcare diagnostics, and enhancing fact-checking systems using NLP. Her work in biomedical data analysis focuses on feature selection methods and predictive modeling for diseases like diabetes. Additionally, she explores speech processing techniques for language-specific challenges, such as Farsi syllable segmentation using signal processing and fuzzy logic approaches. Recent contributions include breast tumor segmentation (2025), NLP-based claim detection (2023), and novel feature selection methods (2021). Earlier work addressed speech signal analysis (2011–2013) and diabetes cost analysis (2016). Scientific Awards: No awards explicitly mentioned in the provided text. Advising & Grants: Information on students or grants is not provided in the text. Administrative tasks are listed but no details are given. Labs/Teams: No specific lab affiliations or teams mentioned.

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.

Erhan A. İnceمشاهده پروفایل

استاد

• Mobile Communications
• Channel Coding
• OFDM/OFDMA Techniques
• +۴ مورد دیگر

Prof. Dr. Erhan A. İnce is a Professor at the Department of Electrical & Electronic Engineering, Eastern Mediterranean University (EMU). He holds a Ph.D. in Communications from Bradford University (1997) and has been at EMU since 1998, progressing through academic ranks from Assistant Professor (1998–2006) to Full Professor (2016–present). His research focuses on mobile communications, channel coding, OFDM techniques, and video/signal processing. He has supervised over 25 master's and doctoral students, including notable works on turbo codes, interference alignment, and image processing. Education: Bachelor's in Electrical Engineering, Bucknell University (1990) M.S. in Electrical Engineering, Bucknell University (1992) Ph.D. in Communications, Bradford University (1997) Research Interests: His work spans communications theory, signal processing, and multimedia applications. Key areas include turbo codes over fading channels, OFDM-based systems, facial recognition, and traffic surveillance using video analytics. Publications: Over 30 journal and conference papers in IEEE Transactions, Elsevier journals, and international conferences like CSDSP and EUSIPCO. Recent topics include blind interference alignment in cellular networks and tensor-based signal processing. Awards: Best Poster Award at CSDSP 1998. Service: Served as a reviewer for IEEE journals and conferences, and held administrative roles in EMU’s Faculty of Engineering, including Professor Representative (2018–present).

Christos Photiouمشاهده پروفایل

پژوهشگر

• Biomedical Image Processing
• Machine Learning
• Optical Diagnostics

Christos Photiou is a Researcher at the University of Cyprus, affiliated with the KIOS Center of Excellence. He earned his B.Sc. in Physics from the University of Patras (2009), M.Sc. in Environmental Health from the Cyprus University of Technology in collaboration with the Harvard School of Public Health (2011), and Ph.D. in the Department of Electrical and Computer Engineering at the University of Cyprus (2020). Education B.Sc. in Physics, University of Patras, 2009 M.Sc. in Environmental Health, Cyprus University of Technology & Harvard School of Public Health, 2011 Ph.D., Electrical and Computer Engineering, University of Cyprus, 2020 Research Interests His research focuses on biomedical image processing , machine learning , and optical diagnostics , with significant contributions to developing novel methods for OCT (Optical Coherence Tomography) feature extraction that have attracted notable attention. These areas align with interdisciplinary applications of engineering and computational techniques in biomedical diagnostics.

Anastasis Polycarpouمشاهده پروفایل

استاد

• Wireless Communications
• RF/Microwave Circuits
• Antenna Analysis & Design
• +۴ مورد دیگر

Anastasis Polycarpou is a Professor at the University of Nicosia, serving as Head of the Department of Engineering and a member of the Senate. With over 25 years of academic experience, he specializes in Wireless Communications, RF/Microwave Circuits, Antenna Analysis & Design, and Computational Methods in Electromagnetics. His career spans academic leadership, funded research collaborations with Boeing, NASA, and the European Union, and editorial roles in IEEE and IET journals. BSEE (Summa Cum Laude) from Arizona State University (1992) MSc in Electrical Engineering (1994) PhD in Electrical Engineering (1998) Current research focuses on machine learning applications in healthcare , particularly skin cancer classification and vital sign monitoring via smartphone cameras. His work also extends to antenna technologies through participation in the COST-IC1102 VISTA initiative. Scientific recognitions include: Senior Member of IEEE Associate Editor for IET Microwaves, Antennas & Propagation Reviewer for IEEE, AIP, and IET publications

Marios Nestorosمشاهده پروفایل

استاد

• Photothermal Physics
• Light-Matter Interactions
• Semiconductor Physics
• +۴ مورد دیگر

Professor Marios Nestoros is an academic at the University of Nicosia, where he serves as an Associate Dean of the School of Sciences and Engineering and holds a Professor position in the Department of Engineering. He earned his BSc in Physics from the National and Kapodestrian University of Athens (1994) and his PhD in Physics from the University of Cyprus (2000). Education: BSc (Athens), PhD (Cyprus) Research Interests: Photothermal physics, semiconductor diagnostics, RFID antenna design, and biomedical applications Teaching: General Physics, Biophysics, Semiconductor Devices, Renewable Energy His recent research explores machine learning applications for skin cancer detection and photothermal analysis of semiconductors. He has published 27 peer-reviewed works and maintains professional affiliations with the American Institute of Physics (AIP) and European Physical Society (EPS).

• Biomedical Engineering
• Deep Learning
• Expert Systems
• +۳ مورد دیگر

Assoc. Prof. Dr. Omid Mirzaei serves as Associate Professor and Vice Chair of the Biomedical Engineering Department within the Faculty of Engineering at Near East University. Appointed faculty in 2023 and rapidly promoted for research excellence, he coordinates both departmental operations and the Faculty of Engineering's digital presence. His academic foundation includes: Undergraduate studies in Biomedical Engineering at Near East University Master's degree in Biomedical Engineering at Near East University Doctoral degree in Biomedical Engineering at Near East University Dr. Mirzaei's research pioneers AI-driven healthcare solutions , with core expertise in Deep Learning for medical imaging , clinical Expert Systems , and diagnostic Image Processing . His work develops Python/MATLAB-based frameworks that transform biomedical data into actionable clinical insights, particularly advancing telemedicine infrastructure and automated diagnostic tools for underserved populations. He actively teaches Telemedicine and Biomedical Equipment Design , emphasizing hands-on development of healthcare technology solutions. As departmental leadership, he shapes curriculum and faculty resources while driving innovation in medical AI applications through industry-academic partnerships.

Luca Ferrariniمشاهده پروفایل

استادیار

• Machine Learning
• Databases
• Cloud Computing
• +۶ مورد دیگر

Dr. Luca Ferrarini serves as an Assistant Professor within the Department of Information Technologies at the University of Limassol, Cyprus. With over ten years of industry experience as an IT project manager and data analytics consultant, he bridges academic research with practical applications in healthcare, medical imaging, and business domains through expertise in machine learning, databases, and cloud computing. His educational foundation includes: A Master of Science in Computer Engineering earned cum laude from the University of Modena and Reggio Emilia (Italy), where his thesis was developed at the Burnham Institute in San Diego through collaboration with the University of California San Diego. A Doctor of Philosophy in Computer Science awarded with honor from Leiden University (Netherlands), followed by post-doctoral research at the same institution focusing on computational analysis of MRI brain images for neurodegenerative conditions. Dr. Ferrarini's research program centers on solving industry and social challenges through digital technologies. His primary technical expertise spans machine learning, database systems, and cloud computing infrastructure . Current projects demonstrate applied focus in two key areas: developing natural language processing systems for automatic email classification in hospitality industry customer relationship management, and conducting bibliometric analyses of digital transformation literature using complex network theory to identify research trends and emerging subfields. Analysis of his publication history reveals a strong interdisciplinary trajectory, beginning with biomedical applications (particularly in neuroimaging and vascular biology) and evolving toward business-oriented digital solutions. His work consistently applies advanced computational methods to extract meaningful insights from complex datasets across healthcare and enterprise contexts, demonstrating adaptability in translating core technical skills to domain-specific challenges. Bringing substantial industry experience to academia, Dr. Ferrarini's current research involves collaboration with tier-1 hospitality chains on NLP applications while mapping the evolution of digital transformation research through network analysis. Though specific details of student supervision and grant funding aren't provided, his project descriptions indicate active industry partnerships and applied research orientation.