جست‌وجوی استاد و پژوهشگر

Charalambos Kyriakouمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Artificial Neural Networks
• Pavement Management Systems
• +۴ مورد دیگر

Dr. Charalambos Kyriakou serves as a Research Associate at the KIOS Research and Innovation Center of Excellence, University of Cyprus. His academic foundation includes a PhD in Civil Engineering (2019), MSc in Construction Project Management (2010), and BSc in Civil and Environmental Engineering (2009), all from the University of Cyprus except his MSc from the University of Manchester. Previously, he was a Post-Doctoral Researcher at the EUPALINOS Laboratory and the Nireas International Water Research Center. Educational background: Bachelor of Science in Civil and Environmental Engineering, University of Cyprus (2009) Master of Science in Construction Project Management, University of Manchester (2010) PhD in Civil Engineering, University of Cyprus (2019) Dr. Kyriakou's research pioneers the application of machine learning and artificial neural networks to revolutionize pavement management systems. His work centers on smartphone-based sensing and vibration analysis for real-time roadway condition assessment, developing cost-effective solutions for detecting potholes, cracks, speed bumps, and pavement roughness. This interdisciplinary research bridges transportation engineering with artificial intelligence , creating scalable frameworks for smart city infrastructure monitoring that leverage crowdsourced vehicle data and advanced pattern recognition techniques. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on smartphone-enabled pavement diagnostics. His work consistently integrates multi-sensor data fusion (vibration, video, OBD-II) with machine learning classifiers to address critical transportation challenges. The publications demonstrate progressive refinement from basic anomaly detection (2016-2017) to sophisticated spatial mapping and rating systems (2021-2022), spanning civil engineering, computer science, and intelligent transportation systems with emphasis on practical urban infrastructure applications. Dr. Kyriakou's research operations occur within the KIOS Research and Innovation Center of Excellence, where he collaborates with interdisciplinary teams developing intelligent systems for critical infrastructure. His laboratory work combines field data collection from instrumented vehicles with advanced computational modeling, utilizing the EUPALINOS Laboratory's resources for pavement testing and the Nireas Center's water infrastructure expertise for integrated urban system analysis.

Aman Ghasemzadehمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Yrd. Doç. Dr. Aman Ghasemzadeh is an Assistant Professor in the Faculty of Engineering at Final University. His research focuses on computer vision, biometrics, and hyperspectral imaging. He specializes in 3D face recognition systems, feature extraction techniques, and pattern recognition algorithms. Key research areas include the application of discrete wavelet transforms in hyperspectral data analysis and the development of robust feature-based systems for security and biometric authentication. No awards or grants are explicitly listed in the provided information. Administrative tasks and educational background details are not specified here.

Christos Ttofiمشاهده پروفایل

مدرس

• Computer Vision and Image Processing
• Real-Time Software Algorithms
• FPGA Design
• +۹ مورد دیگر

Dr. Christos Ttofi is an Associate Lecturer at the Department of Electrical and Electronic Engineering, UCLan Cyprus. He holds a PhD in Computer Engineering (University of Cyprus, 2014), an MSc in Computer Engineering (2011), and a BSc in Computer Engineering (2009). His research focuses on embedded systems, FPGA design, real-time algorithms, and computer vision. He has contributed to over 10 peer-reviewed publications and has received multiple awards, including the Best Paper Award at the IEEE International Conference on Microelectronic Systems Education (2009). Education: PhD in Computer Engineering, University of Cyprus (2009–2014) MSc in Computer Engineering, University of Cyprus (2009–2011) BSc in Computer Engineering, University of Cyprus (2005–2009) Research Interests: Computer Vision and Image Processing Hardware/Software Co-design Embedded Systems & Microcontrollers FPGA Design and Real-Time Algorithms Networks-on-Chip (NoC) and MPSoC Architectures Publications: His work spans embedded vision systems, FPGA-based computing, and real-time algorithm optimization, with notable contributions to IEEE Transactions and ACM conferences. Awards: Best Paper Award (IEEE Microelectronic Systems Education, 2009) Distinction as Best Senior Student in Computer Engineering (2008–2009) Full Scholarship for Doctoral Studies (2011–2014) Teaching & Grants: He leads the 'Digital Systems' module and contributed to research grants such as the EUROSTARS-funded 'RUNNER' project (2011–2013) and the Research Promotion Foundation's MPSoC initiative (2009–2011).

Ahmet İLHANمشاهده پروفایل

مدرس

• Image Processing
• Computer Vision
• Digital Image Analysis
• +۱ مورد دیگر

Dr. Ahmet İLHAN serves as a full-time Lecturer in the Department of Computer Engineering at Near East University, where he has maintained continuous academic affiliation since completing his bachelor's degree in 2014. His educational trajectory includes: Primary Education: Yakın Doğu Elementary School (2003) Secondary/High School: Yakın Doğu College (2010) Bachelor's: Computer Engineering, Near East University (2014) Master's: Computer Engineering with Image Processing thesis (2016) Doctorate: Completed 2022 Specializing in visual computing domains, Dr. İLHAN's research centers on Image Processing and Computer Vision techniques. His doctoral work generated 15 scientific publications advancing digital image analysis methodologies, reflecting a sustained focus from his master's thesis through PhD completion. This specialization bridges theoretical computer engineering with practical applications in visual data interpretation systems. Since 2014, he has progressed from research assistant to full-time lecturer within Near East University's Computer Engineering department, demonstrating institutional continuity through all academic milestones without external appointments or part-time engagements.

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

Kolios Panayiotisمشاهده پروفایل

استادیار

• Emergency Management
• Artificial Intelligence
• Autonomous Unmanned Aerial Systems
• +۳ مورد دیگر

Panayiotis Kolios is an Assistant Professor at the Department of Computer Science, University of Cyprus. He holds a PhD and BEng in Telecommunications Engineering from King's College London. His research focuses on networked intelligent systems, including autonomous UAVs, cyber-physical systems, and AI-driven emergency management. Key roles include coordinating the KIOS CoE's security and emergency response group, developing the SafeCY emergency app, and leading the AIDERS project for real-time disaster response using drones and machine learning. Education: BEng (King's College London, 2008), PhD (King's College London, 2012) Affiliations: KIOS Research and Innovation Centre of Excellence, University of Cyprus Projects: AIDERS, SWIFTERS, PREDICATE (EU-funded), SafeCY app, Cyprus Civil Defence Aerial Observation Unit Grants: Over 40M€ in EU and industrial funding Research emphasizes AI algorithms for emergency response, including drone-based situational awareness, wildfire monitoring, and rogue UAV detection. He co-organized the Exchange of Experts training program and led the team that won the Cooperative Aerial Robots Inspection Challenge (CDC 2023). Notable Achievements: ETEK Engineering Award Honorable Mention (2021) First Prize in CDC 2023 Cooperative Aerial Robots Challenge Development of the Cyprus Civil Defence Aerial Observation Unit Active in both academic and applied research, Kolios bridges theoretical advancements with real-world emergency management solutions.

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.

Daniel Cohen-Orمشاهده پروفایل

استاد

• Computer Graphics
• Visual Computing
• Geometric Modeling
• +۱۵ مورد دیگر

Daniel Cohen-Or is a Professor at the Department of Computer Science, Tel Aviv University, and an Adjunct Professor at Simon Fraser University since 2016. He holds the Isaias Nizri Chair in Visual Computing . His academic background includes a B.Sc. and M.Sc. from Ben-Gurion University (1985-1986) and a Ph.D. from SUNY Stony Brook (1991). Research Interests: Focused on Computer Graphics, Visual Computing, and Geometric Modeling , with a current emphasis on generative models and their applications in 3D shape manipulation, image editing, and diffusion-based techniques. Scientific Awards: Eurographics Outstanding Technical Contributions Award (2005) ACM SIGGRAPH Computer Graphics Achievement Award (2018) Thomson Reuters Highly Cited Researcher (2015) Kadar Family Award (2019) Eurographics Distinguished Career Award (2020) People’s Republic of China Friendship Award (2012) Notable Contributions: Co-edited A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing . His work spans 3D reconstruction, texture synthesis, shape modeling, and semantic image editing, with a focus on leveraging deep learning frameworks like StyleGAN and NeRF. Advising: Mentoring numerous students and postdocs, including Or Patashnik, Yuval Alaluf, and Ron Mokady, with a strong presence in both current and former advisees .

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.

• Semantic Web
• Artificial Intelligence
• Web Technologies
• +۹ مورد دیگر

Professor Duygu Çelik Ertuğrul is a faculty member in the Computer Engineering Department at the Eastern Mediterranean University (EMU), Faculty of Engineering, located in Famagusta, North Cyprus. She has been affiliated with EMU since her undergraduate studies and has steadily advanced through the academic ranks, achieving Professor status in 2022 after serving as Associate Professor since 2017 and Assistant Professor since 2010. Her educational background includes a comprehensive foundation in both technical and healthcare domains. She earned her Ph.D. (2005-2010), MS (2003-2005), and BS (1999-2003) all in Computer Engineering from Eastern Mediterranean University. Notably, she also holds a BS in Healthcare Services from Kocaeli University (1994-1998), which has significantly informed her interdisciplinary research approach. Professor Ertuğrul's research spans the intersection of semantic web technologies, artificial intelligence, and healthcare applications. Her work focuses on developing intelligent systems that leverage semantic technologies for practical applications in e-health, m-health, and personalized recommendation systems. She has pioneered research in semantic web services composition, ontology-based decision support systems, and AI-powered healthcare solutions. Her recent publications demonstrate a clear trajectory toward increasingly sophisticated applications of AI and semantic technologies, particularly in job recommendation systems, healthcare diagnostics, and accessibility solutions for diverse user groups. Her publication record shows consistent productivity with multiple EMU Research Incentive Awards (2020-2022). The most recent works reveal a strategic expansion into LLM-powered recommendation systems, specialized applications for underserved communities, and broader examinations of AI's societal impact across various sectors. EMU Research Incentive Award (2022) EMU Research Incentive Award (2021) EMU Research Incentive Award (2020) Professor Ertuğrul has supervised an extensive number of graduate students, currently guiding three PhD candidates while having successfully supervised numerous MS theses. Her students' work consistently aligns with her research interests, focusing on medical AI applications, semantic web technologies, and recommendation systems. She has also served as project coordinator for capstone projects in software engineering, demonstrating her commitment to practical, hands-on education. Her research has been supported by university, government, and industrial funding sources, enabling the development of various healthcare knowledge systems and semantic web applications.

• 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.

• Artificial Intelligence
• Semantic Web
• Health Informatics
• +۵ مورد دیگر

Prof. Dr. Duygu Çelik Ertuğrul is a Professor in the Department of Computer Engineering at Eastern Mediterranean University (North Cyprus). She holds academic leadership roles including former Associate Professorship (2017–2022) and Professorship since 2022. Her professional affiliations include: Member of IEEE and editorial boards for journals like Expert Systems (SCI-E) Organizer of international workshops (e.g., ESAS 2018, WEDA 2016) Principal investigator for funded projects in e-Health and semantic technologies Education: PhD in Computer Engineering, Eastern Mediterranean University (2010) MS and BS in Computer Engineering, Eastern Mediterranean University (2005 and 2003) BS in Healthcare Services, Kocaeli University (1998) Research Interests: Her work focuses on semantic web services, AI-driven healthcare systems (e-Health/m-Health), ontologies, and decision support systems . Recent projects include: Smart health tracking systems (e.g., TrackARTI for pediatric respiratory infections) AI-based job recommendation systems for marginalized communities Medical diagnostic tools using machine learning (diabetic retinopathy, breast cancer) Article Trends: Her publications emphasize healthcare innovation (55% of recent articles), semantic technologies (30%), and decision support systems (15%). Notable themes include AI ethics in healthcare, cross-cultural usability of medical apps, and ontology-driven interoperability. Awards & Recognition: EMU Research Incentive Award (2020–2022) Featured as Guest Editor for Expert Systems Journal (2018) Advising & Grants: Supervised 16+ master’s and 2 PhD students (ongoing) Secured grants for projects like "Semantic Web Services Composition" (2021) and "m-Health Solutions for Autism" (2019) Labs & Collaborations: Leads the Healthcare Knowledgebase Systems Lab and collaborates with EU-funded initiatives for digital health solutions in Cyprus and MENA regions.

Mehmet Bodurمشاهده پروفایل

دانشیار

• Data Mining
• Decision Making Models
• Computational Intelligence
• +۶ مورد دیگر

Assoc. Prof. Dr. Mehmet Bodur is a faculty member in the Computer Engineering Department at Eastern Mediterranean University . His research focuses on Data Mining, Robotics, Computational Intelligence, and Control Systems. He holds a Ph.D. in Electrical and Electronics Engineering from Middle East Technical University (1991) and has been affiliated with IEEE and ACM as a Senior Member since 2010 and 2020, respectively. His teaching interests include Embedded Systems, Robotics, and Artificial Intelligence. Recent research highlights include satellite image-based obstacle recognition for agricultural vehicles (2015–2016), fuzzy logic modeling (2006–2009), and autonomous vehicle control systems (2010–2012). He has contributed to over 20 publications spanning robotics, control systems, and data analysis. Prof. Bodur has supervised numerous theses at the graduate level and actively participates in academic committees and editorial roles. His work bridges theory and practice, with applications in smart home systems, precision agriculture, and mobile robotics.

• Machine Learning
• Computer Vision
• Natural Language Processing
• +۴ مورد دیگر

Asst. Prof. Dr. CEM ERGÜN is a faculty member in the Department of Computer Engineering at Eastern Mediterranean University (EMU), affiliated with the Faculty of Engineering. He holds a PhD in Computer Engineering from EMU (2004), an MS in Electrical and Electronics Engineering (1998), and a BS in the same field (1996), all from EMU. His research focuses on machine learning, computer vision, and data security, with notable work in natural language processing frameworks like BERT-based question answering systems, image restoration techniques, and steganography methods. He has supervised multiple theses, including ongoing PhD research on Turkish question answering systems and master's projects on topics such as statistical feature selection in text categorization, median filter-based image restoration, and fragile digital watermarking techniques. His academic webpage is accessible at https://staff.emu.edu.tr/cemergun .

• 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.