جست‌وجوی استاد و پژوهشگر

Umut Yıldırımمشاهده پروفایل

استادیار

• Structural Engineering
• Earthquake Engineering
• Civil Engineering
• +۳ مورد دیگر

Asst. Prof. Dr. Umut Yıldırım is an Assistant Professor in the Department of Civil Engineering at Eastern Mediterranean University. His research focuses on structural engineering, earthquake engineering, and the application of machine learning in civil infrastructure. He teaches courses such as CIVL343, INSA473, and CE 477, and has contributed to advancements in base-isolation systems, rubberized concrete properties, and structural health monitoring. He serves as an Associate Editor and Reviewer for academic journals, and has published extensively in high-impact journals and conferences. His work spans experimental testing (e.g., Arduino-based shake tables) and computational modeling (e.g., physics-informed neural networks). Education details are not explicitly stated in the provided text. His research interests include optimizing seismic isolation systems through machine learning, enhancing material performance (e.g., rubberized concrete), and improving infrastructure resilience against earthquakes. Recent articles highlight innovative methods for earthquake record selection, nonlinear response analysis, and cost-effective testing frameworks. Awards and grants are not mentioned in the provided data. He has supervised Master’s and PhD theses, contributing to next-generation structural engineering solutions. His lab work involves experimental setups for bridge dynamics and material characterization.

• 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.

Mohsen Sooriمشاهده پروفایل

استادیار

• Artificial Intelligence
• Manufacturing Processes
• Industry 4.0
• +۳ مورد دیگر

Dr. Mohsen Soori is an Assistant Professor in the Department of Mechanical Engineering at the Faculty of Engineering, Eastern Mediterranean University. His research focuses on integrating artificial intelligence (AI), machine learning, and deep learning into advanced manufacturing processes, particularly in Industry 4.0 applications such as smart quality control, human-robot collaboration, and additive manufacturing optimization. He also specializes in CNC machining optimization, virtual machining systems, and error compensation in precision manufacturing. Dr. Soori holds a Ph.D. in Mechanical Engineering from Eastern Mediterranean University (2022), an M.Sc. from Amirkabir University of Technology (2012), and a B.Sc. from Shahid Rajaee Teacher Training University (2007). His academic work bridges theoretical advancements in numerical methods (e.g., variational iteration, finite element analysis) with practical industrial challenges in machining, robotics, and sustainability. His recent publications (2023–2025) emphasize AI-driven solutions for Industry 4.0, including blockchain-enabled supply chains, smart manufacturing systems, and virtual machining analytics. He has also contributed to studies on tool wear prediction, thermal management in titanium alloy machining, and sustainable CNC operations. Administrative roles and grants are not detailed in the provided text, but his involvement in academic leadership and collaborative research projects is implied through his active publication record and institutional affiliation.

Aleksandar Jovanovicمشاهده پروفایل

استاد

• Clinical Pharmacology
• Cardiovascular Research
• Cell Signaling Pathways
• +۴ مورد دیگر

Aleksandar Jovanovic is a Professor of Clinical Pharmacology and Therapeutics and Head of the Department of Basic and Clinical Sciences at the University of Nicosia Medical School. He holds MD/PhD degrees from the University of Belgrade and completed a Merck, Sharp & Dohme International Fellowship in Clinical Pharmacology at the Mayo Clinic. His career includes roles at the University of Dundee, where he advanced to full Professor of Experimental Medicine. His research focuses on intracellular signaling pathways, particularly those mediating cardioprotection, and their therapeutic applications. Notable contributions include studies on SUR2A protein mechanisms, KATP channel regulation, and cardioprotective agents like isosteviol. He also explores interdisciplinary areas such as AI-driven traffic optimization algorithms and blockchain-based educational platforms. Professor Jovanovic has authored over 150 peer-reviewed articles and reviews in journals like the European Journal of Pharmacology, where he serves as an editor. His work bridges clinical pharmacology, cardiovascular biology, and applied computational systems. Awards include the Merck, Sharp & Dohme Fellowship, recognizing his early contributions to clinical pharmacology research. His research portfolio spans drug development for ischemic heart disease, AI applications in transportation systems, and innovative teaching methodologies. Collaborative projects include ecology-based optimization algorithms and geothermal energy applications in urban planning. He actively advises on medical education policies and sustainable infrastructure advancements.

Demetres Christofidesمشاهده پروفایل

دانشیار

• Combinatorics
• Random Graphs
• Extremal Graph Theory
• +۱۰ مورد دیگر

Dr. Demetres Christofides is an Associate Professor in Mathematics and Course Leader of BSc (Hons) Mathematics & Statistics at the University of Central Lancashire Cyprus (UCLan Cyprus). He holds a PhD in Mathematics from the University of Cambridge (2008), alongside advanced qualifications from Cambridge including a BA (2003), MA (2007), and Certificate of Advanced Study in Mathematics (2004). Affiliations: School of Sciences, Department of Mathematics. Administrative Roles: Former Senate Member (2015–2020), Deputy Head of School (2017–2018), and Academic Standards Lead (2017–2020). Research Interests: Focuses on combinatorics, including random graphs, extremal graph theory, positional games, and algorithmic graph theory. His work spans Hamilton cycles, Cayley graphs, information theory, and structural graph properties. He has contributed to over 10 peer-reviewed publications in journals like Journal of Combinatorial Theory and SIAM Journal on Discrete Mathematics . Funding & Grants: Secured research grants from the Cyprus Research Promotion Foundation and the EPSRC, including projects on extremal combinatorics and graph algorithms. Awards: Smith Prize (University of Cambridge). Outreach: Trains Cypriot Mathematical Olympiad teams, creates problems for international competitions (e.g., IMO Shortlist 2020), and co-authored a training book for high-school mathematics competitions. Teaching: Leads and teaches modules across all undergraduate years, including Real Analysis, Algebra, and Complex Analysis. Previously taught at Charles University, Warwick, and Birmingham.

Andreas Savvaمشاهده پروفایل

مدرس

• Computer Engineering
• Networking
• Artificial Neural Networks
• +۳ مورد دیگر

Andreas Savva is a Lecturer in Computing at UCLan Cyprus since 2017. Previously, he served as a Lecturer in Networking at Bahrain Polytechnic (2014–2017) and as a Tutor in Computer Science at the University of Cyprus (2008–2013). He holds a PhD in Computer Engineering from the University of Cyprus (2024), an MSc in Computer Engineering (2008), a BSc (Hons) in Computer Science (2005), and a Certification of Learning and Teaching in Higher Education (2016). His research focuses on optimizing computing systems through: Many-core architectures and minimizing power consumption in networks-on-chip Applying artificial neural networks (ANN) for prediction and fault detection in hardware systems Enhancing overlay network performance via caching algorithms Savva has contributed to international conferences and has secured research funding, including a €89,450 grant in 2008 from Cyprus Research Promotion Foundation for a collaborative project on simulation frameworks for many-core architectures. He is affiliated with professional organizations like the Cyprus Scientific and Technical Chamber and IEEE. His administrative experience includes panel membership for accreditation at Bahrain Polytechnic and roles in educational software management (Cyprus Ministry of Education, 2002–2007). He has also served as an external moderator for ICT programs and a judge for student projects at Bahrain Polytechnic, alongside research activities in labs such as EASOC (Embedded and Application Specific Systems-on-Chip Laboratory) and KIOS (Research Centre for Intelligent Systems and Networks) at the University of Cyprus.

Moyses Moyseosمشاهده پروفایل

مدرس

• Entrepreneurial Finance
• Business Intelligence
• Valuation Metrics
• +۶ مورد دیگر

Moyses Moyseos serves as a Lecturer in Innovation and Entrepreneurship at the School of Business & Management, University of Central Lancashire Cyprus. He delivers MBA-level instruction in New Enterprise Venture Development and Entrepreneurship Theory and Practice while concurrently holding operational leadership roles at Cyprus Research & Innovation Centre Ltd (CyRIC) and Gravity Ventures Incubator. His academic credentials include: MSc Engineering with Innovation & Entrepreneurship from University College London (2015) Diploma in Production & Management Engineering from Democritus University of Thrace (2014) European Business Network Incubation Training Essentials certification (2015) Research centers on quantitative finance-entrepreneurship intersections with emphasis on Entrepreneurial Finance , Valuation Metrics , and Startup Acceleration . His work examines Innovation Ecosystems through lenses of Business Intelligence , Technology Investment , and Due Diligence , addressing critical gaps in venture capital analytics and incubation frameworks. Publication analysis reveals dual-domain expertise: logistics optimization using set-covering heuristics (2013) and advanced energy forecasting through Grey Analysis/Monte Carlo integration (2013-2014). These works demonstrate cross-disciplinary methodology transfer from engineering to business contexts, particularly in stochastic modeling for resource allocation and demand prediction under uncertainty. Professional recognition includes: Cyprus State Scholarship Foundation award for diploma studies Through MBA pedagogy and operational management at CyRIC/Gravity Ventures, he bridges academic theory with startup mentoring. His consulting division oversees incubation programs while directing due diligence processes for technology investments, though specific grant funding details remain undisclosed in source materials. As Operations Manager for CyRIC's Consulting & Entrepreneurship Services and Gravity Ventures Incubator, he leads teams developing Cypriot innovation infrastructure through structured acceleration programs, corporate partnerships, and ecosystem mapping initiatives that connect local startups with European networks like EU|BIC.

• Fractional Calculus
• Stochastic Processes
• Control Theory
• +۵ مورد دیگر

Prof. Dr. Nazim Mahmudov is a Professor and Department Head of Mathematics at Eastern Mediterranean University. He holds a PhD in Stochastic Systems from the Institute of Cybernetics, Azerbaijan. His research focuses on fractional calculus, stochastic processes, control theory, and approximation theory. He has authored over 200 publications in prestigious journals and supervised numerous PhD students. Key research interests include fractional differential equations, controllability of stochastic systems, and applications of fractional calculus. Recent work involves analytical solutions for delayed fractional systems and stability analysis of stochastic evolution equations. Awards include multiple EMU Publication Citation Awards (2017-2021) and the EMU Research Incentive Award (2017). He has advised over 30 PhD students, including notable scholars in fractional dynamics and stochastic systems. Current projects explore fractional impulsive systems and iterative learning control algorithms. His work bridges pure and applied mathematics, with applications in engineering and physics.

Savvas Chatzichristofisمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Robotics
• +۶ مورد دیگر

Savvas Chatzichristofis is a Professor of Artificial Intelligence and Head of the Department of Computer Science at Neapolis University Paphos (NUP). He also serves as Vice-Rector of Research and Innovation, overseeing strategic R&D initiatives. His research focuses on AI, computer vision, robotics, and their applications in education, urban systems, and autonomous systems. Education: Holds a Diploma (M.Eng.) and Ph.D. in Computer Vision from Democritus University of Thrace. Previously served as a special scientist, visiting lecturer, and researcher at multiple institutions. Research Interests: AI-driven educational technologies Robotics in pedagogy and industry Autonomous systems (UAVs/AUVs) Blockchain for sustainability monitoring Machine learning optimization Notable Projects: NOPTILUS: Autonomous underwater/air vehicle navigation sfly: Swarm robotics for mapping EU-funded projects on smart cities and green bonds Publications span AI ethics, UAV efficiency, educational robotics, and blockchain frameworks, with over 50 peer-reviewed articles since 2011.

John Bellosمشاهده پروفایل

دانشیار

• Structural Design
• Reinforced Concrete Construction
• Seismic Engineering
• +۴ مورد دیگر

Dr. John Bellos is an Associate Professor of Structural Design and Construction Technology at Neapolis University Pafos (since 2018), serving as Head of the Department of Civil Engineering and Coordinator of the BSc in Civil Engineering Programme. He holds a Ph.D. in Structural Dynamics from SUNY Buffalo (1989), an MSc in Mechanical Engineering from SUNY Buffalo (1986), and a BSc in Naval Architecture & Mechanical Engineering from National Technical University of Athens (1984). His expertise spans structural design of reinforced concrete buildings, seismic analysis, progressive collapse resistance, and non-conservative dynamic systems. His research integrates machine learning for structural behavior analysis and aesthetic-form integration. He previously served as Director of Information and Learning Services (2009–2013), contributing to the university's technological infrastructure. Key research areas include reinforced concrete mechanics, seismic retrofitting, steel frame dynamics, and soil-structure interaction. He has published extensively on structural safety, vibration control, and computational methods in construction engineering. His work bridges theoretical analysis with practical applications in resilient infrastructure design. Bellos has advised on structural design projects for industrial and civil infrastructure, contributing to Eurocode compliance and advanced simulation techniques. His collaborations include the PROINDUSTRY project on seismic isolators and the Hellenic Navy's vibration studies on offshore vessels.

Constantinos Vassiliadesمشاهده پروفایل

استادیار

• Sustainable Architecture
• Building Energy Efficiency
• Renewable Energy Integration
• +۴ مورد دیگر

Dr. Constantinos Vassiliades is an Assistant Professor at the Department of Architecture, Land and Environmental Sciences at Neapolis University of Pafos. His academic career includes roles as a Research Associate at the University of Cyprus and Cyprus University of Technology, a Visiting Researcher at the University of Naples 'Federico II', and a Visiting Lecturer at Luleå University of Technology. He holds a PhD from the University of Cyprus (2018) focusing on solar energy system integration in buildings. Education: 2012 – Diploma in Architectural Engineering (Aristotle University of Thessaloniki) 2018 – PhD in Architecture (University of Cyprus) Research interests center on sustainable building design , energy efficiency , renewable energy systems , and bioclimatic strategies . Notable projects include studies on photovoltaic integration in façades, energy performance certification discrepancies, and socio-economic barriers to sustainable housing adoption. Publications highlight themes like BIPV systems, double-skin façades, and clean energy policy in the Pacific Islands. Recent work emphasizes cross-climate comparisons (e.g., Sweden-Cyprus studies) and prefabricated housing solutions. Awards include the Best Graduate Award (2012) and selection as a Rising Researcher in the Commonwealth Futures Climate Cohort. He is a licensed Energy Efficiency Expert (Cyprus Ministry) and member of professional bodies like ETEK and the Cyprus Architects Association. Collaborations include architectural practice Vassiliades Architects and participation in EU-funded projects. His lab focuses on Building Integration of Renewable Energy Systems with emphasis on Mediterranean and Nordic contexts.

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.

• 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.

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).

Konstantinos Manousakisمشاهده پروفایل

پژوهشگر ارشد

• Optical networks
• Optimization algorithms
• Network security
• +۳ مورد دیگر

Konstantinos Manousakis is a Post-Doctoral Fellow at the KIOS Research and Innovation Center of Excellence at the University of Cyprus. He holds a Diploma (2004), MSc (2007), and PhD (2011) in Computer Engineering and Informatics from the University of Patras, Greece. Focus on optical networks and optimization algorithms Extensive participation in national and EU research projects 60+ publications in top-tier journals and conferences His research interests include secure optical network design, impairment-aware routing, network coding, and techno-economic analysis of communication systems. He has received recognition for his work, including the IEEE/OSA outstanding reviewer award and the Cyprus Young Researcher Award, while also leading grants focused on physical layer attack mitigation in next-generation networks. Recipient of Marie Curie Career Integration Grant (2014-2018) Best paper award at CRITIS’2013 IEEE Senior Member