جستجوی استاد راهنمای دانشگاهی

Prof. Dr. Fadi AL-TURJMAN serves as the founding Dean of the Faculty of AI and Informatics at Near East University (NEU), Cyprus. He holds multiple leadership roles including Head of the Software Engineering Department and Director of the AI and Robotics Institute and the International Research Center for AI and IoT. With a PhD in Computer Science from Queen’s University (2011), he specializes in AIoT systems, wireless networks, and blockchain integration. Affiliation: Near East University Leadership: Founding Dean for AI and Informatics, Director of AI & Robotics Institute Research Focus: His work bridges Artificial Intelligence of Things (AIoT) , Blockchain Applications , and Smart Networking . He explores cybersecurity frameworks for smart cities, quantum state optimization techniques, and novel AI-driven solutions for healthcare, agriculture, and energy systems. Key Article Trends: Recent publications emphasize Transformer models for environmental monitoring, blockchain-enabled security protocols , and evolutionary algorithms for resource optimization. His research spans interdisciplinary domains including medical diagnostics, vehicular networks, and sustainable infrastructure. Scientific Awards: Lifetime Golden Award of Dr. Suat Gunsel (2022) Multiple Best Research Awards at International Venues Labs & Teams: Directs the International Research Center for AI and IoT at NEU, leading multidisciplinary teams in developing advanced networking technologies and AI-driven solutions for global value chain applications.

• Artificial Intelligence of Things (AIoT)
• Wireless Sensor Networks
• Blockchain Applications
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Harald Gjermundrod is a Professor of Computer Science in the Department of Computer Science at the University of Nicosia's School of Sciences and Engineering, where he has served since September 2008. Previously, he was a Post-Doctorate Associate (2006-2008) at the High-Performance Computing Systems Laboratory, University of Cyprus. Education: PhD in Computer Science, Washington State University (2006) MS in Computer Science, Washington State University (2001) BS in Computer Science, Washington State University (1999) Dipl.-Ing, Oslo Metropolitan University (1998) His research spans Distributed Computing Systems , Computer Security , Blockchain Technology , and Data Protection , with emphasis on practical implementations like GridStat middleware for power grids and privacyTracker for GDPR compliance. As co-director of the Informatics Security Laboratory, he leads research on active defense mechanisms and data protection frameworks. His 87+ publications since 2001 show evolving focus from grid computing (2006-2010) to blockchain applications (2016-present), with recent work emphasizing privacy engineering, secure e-voting, and AI-driven security analytics. Key trends include transitioning from infrastructure-focused research (GridStat, ICGrid) to policy-compliant systems (privacyTracker, HoneyCY). Scientific Recognition: Senior Member of ACM Eclipse Committer Status (Alumni) Chair of ACM Cyprus Chapter (2015-2018) He has secured funding from EU programs, US National Science Foundation, and National Institute of Technology, developing software products including GridStat (critical infrastructure middleware), ICGrid (medical data sharing), and ReProTool (Bologna Process compliance). His supervision has produced student-developed prototypes like NoteLocker and HoneyCY. Current projects include privacyTracker (GDPR compliance) and SmartTeV (blockchain voting). As co-director of the Informatics Security Laboratory, he oversees research on active defense systems, honeypot frameworks (HoneyCY), and verifiable data traceability, with applications in e-government and healthcare security.

• Distributed Computing Systems
• Computer Security
• Cyber Security
• +۵ مورد دیگر

Mihalis Nicolaou is Associate Professor at The Cyprus Institute's Computation-based Science and Technology Research Center. His research develops robust machine learning algorithms with applications in computer vision and interdisciplinary domains. Research focuses on: Interpretable representation learning Tensor-based machine learning Generative model interpretation Multimodal data fusion Recent publications explore semantic grounding in vision-language models and interpretability of satellite image generative networks. His work emphasizes algorithmic robustness and cross-domain applications.

• Machine Learning
• Computer Vision
• Tensor Methods
• +۲ مورد دیگر

Dr. Apostolos Giannakos is a Researcher at the Climate and Atmosphere Research Center (CARE-C) of The Cyprus Institute, specializing in geospatial artificial intelligence for weather, climate, and environmental applications. His work involves developing machine learning algorithms and GPU-accelerated data science workflows for Earth observation analysis. He earned his PhD in Satellite Meteorology from the Department of Meteorology and Climatology, Faculty of Geology, Aristotle University of Thessaloniki, Greece. His research integrates computational techniques with environmental science through: Geospatial AI for environmental monitoring and prediction Satellite Meteorology and nowcasting systems development Remote Sensing model validation using complex EO datasets Geoinformatics infrastructure for climate data processing GPU-accelerated workflows in atmospheric and environmental modeling As a core member of CARE-C, Dr. Giannakos advances computational approaches to climate research within The Cyprus Institute's interdisciplinary framework.

• Geospatial Artificial Intelligence
• Machine Learning
• Satellite Meteorology
• +۵ مورد دیگر

Demetrios Eliades is a Research Assistant Professor at the KIOS Research and Innovation Center of Excellence at the University of Cyprus. He holds a Diploma in Electrical and Computer Engineering from Aristotle University of Thessaloniki, an MSc in Artificial Intelligence from the University of Edinburgh, and a PhD in Electrical Engineering from the University of Cyprus. His research focuses on Smart Water Networks, including water loss reduction, quality assurance, contamination response, and cyber-physical security. He develops open-source tools like the EPANET-MATLAB Toolkit and coordinates projects such as the Battle of the Leakage Detection and Isolation Methods (BattLeDIM) competition. His cross-disciplinary work extends to power systems, robotics, and archaeometry. Dr. Eliades has coordinated multiple European projects including Interreg SmartWater2020 and H2020 PathoCERT, and contributed to COVID-19 response through a national information management platform. His publications emphasize AI integration in water systems, contamination management, and infrastructure resilience.

• Smart Water Networks
• Water Quality Monitoring
• Cyber-Physical Security
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Aminreza Iranmanesh is an Associate Professor at Final International University's Faculty of Architecture and Fine Arts. He holds a Doctoral Degree in Architecture from Eastern Mediterranean University (2019), a Master's Degree in Architecture (2012), and a Bachelor's Degree in Architecture from Shahid Bahonar University of Kerman (2009). His research focuses on urban design and spatial analysis, with emphasis on informal settlements, sustainable urban regeneration, digital urban networks, ecological building design, and social sustainability. His work combines space syntax, GIS, and multi-criteria decision-making frameworks to address urban challenges. Recent publications examine slum tourism trends, AI integration in architectural pedagogy, historic preservation methodologies, and pandemic-era urban transformations. The articles reflect interdisciplinary engagement with urban morphology, social equity, and technological innovation. Educational Background: PhD in Architecture (Eastern Mediterranean University, 2019) Master's in Architecture (Eastern Mediterranean University, 2012) Bachelor's in Architecture (Shahid Bahonar University of Kerman, 2009) Scientific Awards:

• Architecture
• Urban Design
• Spatial Analysis
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Ravi Pandey is a PhD Student and Graduate Research Fellow at The Cyprus Institute's Energy, Environment and Water Research Center (EEWRC). His research focuses on advancing artificial intelligence, geoinformatics, and urban resilience, particularly in sustainable urban development. He is part of the Marie Skłodowska-Curie Programme, specifically the ESR 7 project, exploring human-building resilience in the face of climate change under the supervision of Professor Salvatore Carlucci. Ravi holds a Copernicus Master’s in Digital Earth, an Erasmus Mundus-funded program, focusing on technology-environment interactions and developing a web-based application for hiking activity planning. Prior to that, he earned a master’s degree from ITC, University of Twente, Netherlands, in collaboration with the Indian Institute of Remote Sensing (ISRO), India, which deepened his expertise in geoinformatics. His academic journey began with a Bachelor’s degree in Urban and Regional Planning from the School of Planning and Architecture, Bhopal. His research interests include geospatial technologies, sustainable urban development, spatial data quality, satellite image processing, and environmental planning. He applies these to address urban challenges through innovative solutions. Ravi has not been mentioned to have received any scientific awards to date. Ravi’s current research is supported by the Marie Skłodowska-Curie Actions under the ESR 7 project. Prior to his PhD, he worked as a Geospatial Scientist at ISRO, contributing to geospatial science applications. He is part of the Energy, Environment and Water Research Center (EEWRC) at CyI, collaborating within a global research environment.

• Artificial Intelligence
• Geoinformatics
• Urbanism
• +۳ مورد دیگر

Thomas Dimopoulos is an Assistant Professor in Real Estate at Neapolis University Pafos Cyprus, coordinating the BSc in Real Estate Valuation and Development. He holds a PhD from Cyprus University of Technology and advanced degrees from Aristotle University of Thessaloniki and Oxford Brookes University. His professional roles include former chairman of RICS Cyprus, board member of the Cyprus Property Valuers Association, and European Board member of IVSC. Education: PhD, Civil Engineering & Geomatics (Cyprus UoT); M.Eng., Rural & Surveying Engineering (Aristotle UoThessaloniki); MSc, Real Estate (Oxford Brookes). Research focuses on property valuation methodologies, geospatial analysis, AI-driven mass appraisals, and sustainable design impact on real estate. His work emphasizes automated valuation models, GIS applications, and energy-efficient retrofitting. Recent articles explore urban accessibility, sustainability trends in tourism, and net-zero energy buildings. Professional affiliations include AXIA Chartered Surveyors (founded by him) and advisory roles in industry bodies. Active in Cyprus property policy, advocating data-driven valuation practices and fiscal decentralization through property taxation research.

• Real Estate Valuation
• Property Taxation
• Geospatial Data Analysis
• +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.

• Emergency Management
• Artificial Intelligence
• Autonomous Unmanned Aerial Systems
• +۳ 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.

• Data Mining
• Decision Making Models
• Computational Intelligence
• +۶ 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.

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

Oluwaseun Priscilla Olawale is a Lecturer in Software Engineering at Near East University (Nicosia, Cyprus), where she is concurrently pursuing her master's degree in Software Engineering. She previously served as a teaching assistant at the same institution. Her academic background includes a Bachelor's degree in Computer Science from Bowen University, Nigeria, complemented by professional experience as an IT Specialist at the Standards Organisation of Nigeria and Software Developer at Royal Niger Company. Research Focus: Her work centers on developing reliable software solutions with emphasis on artificial intelligence applications. Primary domains include healthcare technology (medical imaging, remote healthcare, IoHT security), industrial systems (Industry 4.0 automation), cybersecurity (blockchain integration, anomaly detection), and educational technology (post-pandemic learning environments). She demonstrates consistent interest in interdisciplinary AI implementations bridging theoretical models and practical challenges. Publication Trends: Recent articles (2020-2025) reflect a progression from foundational surveys in data mining and blockchain verification toward applied AI solutions. Emerging themes include disaster prediction systems, audio-visual signal processing, and security-enhanced healthcare networks. Her technical approach frequently employs deep learning architectures (CNNs, VGG-16), blockchain frameworks, and signal processing techniques to address real-world problems across diverse sectors.

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Peter Schwendner serves as Professor and Head of Institute of Wealth & Asset Management at ZHAW Zurich University of Applied Sciences, Department Banking, Finance, Insurance in Winterthur, Switzerland. With a PhD from Max Planck Institut für Strömungsforschung Göttingen and additional education in Foreign Affairs & Applied Diplomacy and University Didactics from ZHAW, he brings both academic rigor and practical industry experience to his role, having previously served as Head of Department at Sal. Oppenheim jr. & Cie and COO/Partner at Fortinbras Asset Management GmbH. Professor Schwendner's research focuses on the intersection of quantitative finance, machine learning, and sustainable investment. His work spans portfolio management techniques including risk parity approaches, correlation analysis in financial markets, ESG integration, and digital asset applications. Recent publications demonstrate particular emphasis on tokenization frameworks, AI-driven investment strategies, and biodiversity risk assessment in portfolio construction. His research often addresses European bond markets, correlation regimes, and the impact of ESG news on financial markets, combining theoretical models with empirical market data. With 76 publications and over 38,000 reads on ResearchGate, Professor Schwendner has established himself as a significant contributor to the field of quantitative finance. His recent work shows increasing focus on sustainable finance applications, with numerous publications on ESG integration, biodiversity risk assessment, and climate-related financial analysis. The trend in his publication record indicates growing attention to the practical implementation challenges of AI in investment processes and the evolving regulatory landscape for digital assets. As Head of Institute of Wealth & Asset Management, Professor Schwendner oversees research that bridges academic theory with practical financial applications. His work on correlation networks, adaptive risk parity approaches, and tokenization frameworks demonstrates his commitment to addressing current challenges in portfolio management and financial technology. His research group appears particularly focused on developing robust investment strategies that can navigate changing market conditions while incorporating sustainability considerations.

• Financial Risk Management
• Portfolio Management
• Machine Learning in Finance
• +۷ مورد دیگر