جستجوی استاد راهنمای دانشگاهی

• 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.

• Digital Humanities
• Geoinformatics
• Archaeological Prospection
• +۷ مورد دیگر

Apostle Sarris is a Professor at the Department of History and Archaeology , University of Cyprus, specializing in the integration of Geoinformatics , Geophysical Prospection , and Digital Humanities into archaeological research. His work bridges remote sensing , GIS applications , and cultural heritage management to reconstruct ancient landscapes and analyze archaeological data. Education : Ph.D. in Physics (Geophysics) from University of Nebraska-Lincoln (1992), M.Sc. in Physics (Geophysics) from University of Nebraska-Lincoln (1990), and advanced degrees in Physics and Astronomy from Boston University (1988, 1985). His research focuses on non-invasive methods like Ground Penetrating Radar (GPR) , satellite imagery , and machine learning to map buried structures, assess environmental threats to heritage sites, and model cultural landscapes. Key projects include the STORM project for disaster risk management of cultural heritage and ARISTEIA-IGEAN-STORM for geophysical prospection in Thessaly. Recent publications highlight his work on European Neolithic settlements , Byzantine landscapes , and AI-driven GPR analysis . He supervises interdisciplinary Ph.D. and postdoctoral researchers across institutions in Cyprus, Greece, Italy, and Turkey, with projects spanning digital heritage , soil geochemistry , and sacred landscape studies . Selected grants include H2020-MSCA-IF-2016 for European frontiers research and ARISTEIA II-ANCIENT CITY for Neolithic landscape analysis.

Stelios Charalambidesمشاهده پروفایل

دانشگاهی

• Ring Theory
• Module Theory
• Lie Algebras
• +۳ مورد دیگر

Dr. Stelios Charalambides is a Visiting Lecturer at the University of Nicosia (NUP). He holds a B.Sc. in Mathematics, M.Sc. in Algebra, and Ph.D. in Rings and Modules. With 21 years of teaching and research experience, he has taught across secondary and tertiary levels in seven universities and two colleges across three continents. His research focuses on Lie algebras applications to integrable systems, ring theory (torsion theories, injectivity), and module properties (extending, Noetherian modules). He has authored a book, a chapter, and six peer-reviewed articles, with contributions to algebraic structures and mathematical physics. His work spans international conferences and collaborations. Currently, he contributes to the Department of Mathematics at NUP. Education: B.Sc. Mathematics M.Sc. Algebra Ph.D. Rings and Modules (University of Otago) Research Interests: His primary areas include torsion theory, Lie algebra applications in integrable systems, and module properties such as injectivity and extending modules. He explores algebraic structures and their applications in mathematical physics, with recent work on τ-injective modules and generalized Volterra systems. Publications: His articles focus on algebraic structures (e.g., Themes in torsion theory ), integrable systems ( Generalized Lotka-Volterra systems ), and Lie algebra applications ( so(p,q) Toda systems ). These studies bridge abstract algebra with dynamical systems and mathematical physics. Grants & Labs: No specific grants or labs mentioned in the text.

Nicoletta Nicolaouمشاهده پروفایل

دانشیار

• Biomedical Signal Processing
• Machine Learning in Neuroscience
• Neurocriminology
• +۶ مورد دیگر

Nicoletta Nicolaou is an Associate Professor and Director of the PhD programme at the University of Nicosia Medical School. She holds a BSc (Hons.) in Cybernetics & Control Engineering and a PhD in Cybernetics from the University of Reading, UK, as well as an MSc in Criminology from the University of Nicosia. A former Marie Skłodowska-Curie Fellow at Imperial College London (2014–16), her research focuses on nervous system interactions, biomedical signal processing, and machine learning applied to neuroscience. Key areas include anaesthetic-induced consciousness, neurodegeneration, autism, and neurocriminology. Education : BSc (Hons.) in Cybernetics & Control Engineering, University of Reading PhD in Cybernetics, University of Reading MSc in Criminology, University of Nicosia Her work explores the brain-gut axis, gut microbiome, and vagal pathways, with recent studies on Alzheimer’s Disease funded by the Alzheimer’s Association. Recent research includes analyzing pandemic mortality trends, consciousness detection in clinical patients, and neurophysiological responses to music. Awards : Marie Skłodowska-Curie Individual Fellowship (2014–16) Grants & Roles : Principal Investigator for the Alzheimer’s Association-funded study on probiotics and cognitive function in Alzheimer’s patients Member of the Cyprus National Bioethics Committee (2024–present) Research & Teaching : Her publications span anesthesia monitoring, neurological disorders, and medical education innovations. She leads studies on sleep-brain interactions and has pioneered tools like concept maps for medical assessment.

Stella Loizouمشاهده پروفایل

دانشیار

• Medical Education
• Chemistry
• Biochemistry and Molecular Biology
• +۳ مورد دیگر

Stella Loizou is an Associate Professor of Chemistry and serves as the MD Year 1 Academic Lead and Chief Examiner at the University of Nicosia Medical School. She holds a BSc (Honors) in Chemistry and a PhD in Biochemistry and Molecular Biology from the National and Kapodistrian University of Athens (Greece), followed by post-doctoral research at the University of Cyprus. She also earned a PGCert in Higher Biomedical Education from St George’s University in London. Her current research focuses on medical education, including curriculum development, assessment tools like concept mapping, and problem-based learning methodologies. Her earlier work explored pharmacological aspects of natural products and anti-inflammatory mechanisms in cellular models. Dr. Loizou’s professional roles include academic leadership in medical program design and examination governance. Her scholarly contributions span both medical education innovation and biochemical research in plant-derived compounds’ biological activities. She maintains active engagement with curriculum reforms and faculty development initiatives. No awards or grants are explicitly listed in the provided materials. Her academic advising activities remain undocumented here, though her roles suggest significant contributions to student mentorship in medical training programs.

Annita Achilleosمشاهده پروفایل

استادیار

• Developmental Biology
• Developmental Genetics
• Craniofacial Development
• +۵ مورد دیگر

Annita Achilleos is an Assistant Professor in Developmental Biology and Developmental Genetics at the University of Nicosia Medical School, University of Nicosia. Her research focuses on neural crest cells and their role in craniofacial skeleton development, particularly using mouse and zebrafish models. She has discovered novel roles for transcription factors like Ronin (Thap11) in craniofacial development and ribosome biogenesis. Education: BSc (Honors) in Biology, University of Massachusetts, Amherst MSc in Cell Biology (Fulbright Scholar), New York University School of Medicine PhD in Developmental Genetics, New York University School of Medicine Research Interests: Dr. Achilleos investigates the molecular mechanisms governing neural crest cell specification, migration, and differentiation. Her work explores how transcriptional regulators like NR6A1 and Thap11 impact craniofacial morphology and ribosomal function. She employs genetic knockout models, histology, and molecular biology to dissect pathways linked to congenital disorders such as Treacher Collins syndrome and cobalamin deficiencies. Article Trends: Her publications emphasize genetic and cellular mechanisms underlying craniofacial abnormalities, with a focus on ribosomal dysfunction (e.g., Polr1c/d mutations in Treacher Collins syndrome) and transcription factor roles in neural crest development. Recent work highlights dual metabolic and structural defects caused by Thap11 deficiencies. Grants/Advising: No specific grants or advisees are listed in the provided text. Labs/Teams: Her research integrates with developmental biology labs at the University of Nicosia Medical School, focusing on translational studies linking basic embryology to clinical craniofacial disorders.

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.

• Digital Signal Processing
• Image Processing
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. HÜSEYİN ÖZKARAMANLI is the current Dean of the Faculty of Engineering at Eastern Mediterranean University (EMU). He holds a PhD in Electronics and Digital Signal Processing from Tufts University (1995), an MS in Electrical and Electronic Engineering from Tufts University (1992), and a BS in Electrical Engineering and Physics from Tufts University (1990). His research focuses on image processing, sparse representation, wavelet transforms, and signal processing applications. He has supervised numerous PhD and Master’s theses, including works on image denoising, single-image super-resolution, and dictionary learning. Notable advisees include Guls̈her Ali Lund Baloch (2018), Faezeh Yeganli (2015), and Mahmoud Khaled Ahmed Nazzal (2015). His academic contributions span signal integrity, OFDM signal processing, and multiwavelet-based compression techniques. Prof. Özkaramanli’s work integrates theoretical frameworks with practical applications in digital imaging and machine learning. His office is located in EE 105, and he can be reached via email at huseyin.ozkaramanli@emu.edu.tr .

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).

• Electrical Engineering
• Computer Engineering
• Signal Processing
• +۳ مورد دیگر

Prof. OMAR SALAMEH ABDALLAH RAMADAN is a Professor in the Department of Computer Engineering at Eastern Mediterranean University (EMU) , affiliated with the Faculty of Engineering . He holds a PhD in Electrical Engineering from EMU (1999), following an MS (1994) and BS (1992) in the same field from EMU. Research Interests : His work focuses on Electromagnetic Wave Modeling , Parallel Computing Algorithms , Multimedia Search Engine Optimization , Signal Processing Techniques , and Mobile Positioning Systems . His research emphasizes computational efficiency and hardware-oriented solutions in engineering problems. Awards : He has received the EMU Publication Citation Award in 2020 and 2017, recognizing his scholarly contributions. Advising : He has supervised multiple PhD and MS theses, including: Efficient Techniques for Improving Multimedia Search Engines (2015, PhD) Efficient Parallel Algorithm for Modeling Open Region Finite Difference Time Domain (2008, PhD) A Hardware-Oriented Hybrid TDOA/AOA Mobile Positioning Estimation Scheme (2015, MS) His academic contributions span theoretical and applied domains in computer and electrical engineering.

• Biometrics
• Computer Vision
• Image Processing
• +۴ مورد دیگر

Prof. Dr. Önsen Toygar is a full Professor of Computer Engineering at the Faculty of Engineering, Eastern Mediterranean University. He holds a PhD in Computer Engineering from the same institution (2004). His primary research interests include Biometrics, Computer Vision, Image Processing, and Digital Forensics. He has over 18 years of academic experience, including roles as Vice Chair of the Computer Engineering Department and committee memberships in various university bodies. Education PhD in Computer Engineering, Eastern Mediterranean University (2004) MSc in Computer Engineering, Eastern Mediterranean University (1999) BSc in Computer Engineering, Eastern Mediterranean University (1997) Research Interests His work focuses on advanced biometric systems (e.g., face, ear, palm vein recognition), deep learning applications in medical imaging (e.g., Alzheimer’s/Parkinson’s disease classification), and robust feature extraction methods under occlusions/spoof attacks. Notable contributions include multimodal fusion techniques and anti-spoofing mechanisms for biometric security. Recent Publications Trends Recent work emphasizes deep learning in medical diagnostics (e.g., Alzheimer’s classification via 3D CNNs), multimodal biometric fusion (hand/finger vein recognition), and spoof detection in ear/facial systems. Cross-disciplinary efforts include plant disease detection and underwater image enhancement. Awards Publons Top Peer Reviewer (2019) EMU Research Incentive Awards (2017–2022) EMU Citation Awards (2017–2022) Best Paper Award (SIP2009) Grants & Supervision Directed over 30 graduate theses (PhD/MS) including projects on vein recognition systems, anti-spoofing methods, and disease classification. Active in research grants such as Deep Learning for Neurological Disease Diagnosis (2022–2023). Labs & Teams Leads the Biometrics Research Group focusing on multimodal systems, and collaborates with the Underwater Research and Imaging Center on image enhancement techniques.

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

Mustafa Kemal Uyguroğluمشاهده پروفایل

استاد

• Robotics
• Mechatronics
• Mathematical Modeling
• +۵ مورد دیگر

Prof. Dr. MUSTAFA KEMAL UYGUROĞLU is a Professor of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU), affiliated with the Faculty of Engineering. He has held academic positions since 1987, progressing from Lecturer to Professor by 2015. His research focuses on robotics, mechatronics, mathematical modeling, computer vision, and kinematic analysis of mechanical systems. Education: B.S. in Electrical Engineering, EMU (1981–1985) M.S. in Robotics, EMU (1989–1991) Ph.D. in Robotics, EMU (1992–1998) Research Interests: Prof. Uyguroğlu’s work spans robotics, including mobile robotics, autonomous systems, and trajectory optimization. He has pioneered research in kinematic analysis of geared and tendon-driven mechanisms, fire detection in video sequences, and face-tracking algorithms. His recent projects involve anomaly detection using deep learning and conformal prediction, as well as integration of multi-platform robotics simulations. Publications & Impact: His publications reflect expertise in robotics systems, video surveillance, and control engineering. Notable contributions include studies on omnidirectional mobile robots, fire detection algorithms, and graph-theoretic approaches to mechanism analysis. His work bridges theoretical modeling and practical applications like emergency monitoring systems. Service & Leadership: Vice Rector (2009–2014) Senate Member (2017–present) Founded EMU’s Robotics Lab Developed curricula for Electrical Engineering, Information Engineering, and Mechatronics programs Advising & Mentorship: Supervised 8 graduate theses (4 Ph.D., 4 M.S.) and actively participates in thesis committees. His students have specialized in topics like six-legged robot kinematics and equivalent robotic manipulators. Labs & Infrastructure: Leads the Robotics Lab at EMU, focusing on hardware-software integration for autonomous systems and simulation tools (CoppeliaSim, MATLAB).

• Biomedical Engineering
• Neural Engineering
• Medical Signal Processing
• +۳ مورد دیگر

Asst. Prof. Dr. Shahla Azizi Alikamar is an Assistant Professor in the Department of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU). She is affiliated with the Faculty of Engineering and holds an office in EE 215. Her contact information includes the email shahla.alikamar@emu.edu.tr and telephone number +90 392 630 1440. Dr. Alikamar's academic journey includes a PhD in Medical Physics and Biomedical Engineering (2021), an MS in Biomedical Engineering - Bioelectricity (2012), and a BS in Biomedical Engineering - Bioelectricity (2008), all from unnamed universities. Her research interests focus on biomedical signal processing, neural engineering, and applying machine learning to healthcare diagnostics, particularly in EEG analysis and neuroimaging. She has supervised three graduate theses: an ongoing PhD on a topic unspecified, a 2023 MS thesis titled *Diagnosis of Depression Disease Using Neuroimaging and Deep Learning Tools*, and a 2022 MS thesis on *EEG Sleep Stage Classification and Prediction Using Entropy Feature Extraction*. No scientific awards are listed in the provided materials. Her advising and mentoring activities reflect a focus on interdisciplinary projects at the intersection of electrical engineering and biomedical applications.

Kirtan Gopal Pandaمشاهده پروفایل

پژوهشگر ارشد

• UAV-assisted networks
• wireless sensor networks
• resource optimization

Kirtan Gopal Panda serves as a Research Associate at the KIOS Research and Innovation Center of Excellence, University of Cyprus. He holds a Ph.D. from the Indian Institute of Technology, Kharagpur (2024), an M.Tech from the National Institute of Technology, Silchar (2016), and a B.Tech from the Biju Patnaik University of Technology, Rourkela (2010). His academic credentials include: Ph.D. (2024), Indian Institute of Technology, Kharagpur M.Tech in Communication and Signal Processing Engineering (2016), National Institute of Technology, Silchar B.Tech in Electronics and Communication Engineering (2010), Biju Patnaik University of Technology, Rourkela Dr. Panda's research centers on UAV-assisted networks , wireless sensor networks , and resource optimization . His work develops advanced algorithms for network efficiency in drone-based communications and distributed sensor systems, addressing critical challenges in bandwidth allocation and energy management for next-generation wireless infrastructures. These areas intersect telecommunications, aerospace engineering, and computational optimization. No scientific awards or fellowships were documented in the source material. The provided information does not specify student advising responsibilities or grant funding details. He actively contributes to research at the KIOS CoE, a specialized center focused on cyber-physical systems and networked control technologies within the University of Cyprus ecosystem.