جستجوی استاد راهنمای دانشگاهی

Konstantinos Zagoris is a Lecturer in Databases and Distributed Systems at Neapolis University Pafos, Department of Computer Science. He coordinates ERASMUS programs and student affairs. Previously, he held research roles at Salford University, Institute of Informatics & Telecommunications (Demokritos), and Democritus University of Thrace. Education: Diploma in Electrical and Computer Engineering (2003) - Democritus University of Thrace, Greece PhD in Content and Metadata Based Image Document Retrieval (2010) - Democritus University of Thrace Research focuses on content-based image retrieval, handwritten text recognition, document image processing, and medical image analysis. He has authored over 40 publications in journals and conferences, emphasizing innovative methods like Fuzzy Delphi Method for staff selection, convolutional recurrent neural networks for historical manuscript recognition, and bio-inspired models for document enhancement. Led projects funded by Hellenic/EU grants, with notable contributions to competitions like ICDAR DIBCO and ICFHR H-KWS. His work bridges computer science and digital humanities, advancing archival digitization and medical diagnostic tools.

• Content-Based Image Retrieval
• Handwritten Text Recognition
• Document Image Processing
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Prof. Dr. ZEKİ BAYRAM is a faculty member in the Department of Computer Engineering at Eastern Mediterranean University (EMU). He holds a PhD from the University of Alabama (1993), an MS from the same institution (1988), and a BS in Economics from the University of Pennsylvania (1987). His research focuses on Semantic Web Services, Artificial Intelligence, and Logic Programming. He has supervised multiple PhD and Master's theses, including notable works on mobile transactional payment networks, semantic web service choreography, and intelligent tutoring systems. He served as the Founding Chairman of the Internet Technologies Research Center (2006) and chaired the departmental ABET committee from 2010–2023. Education: PhD, Computer and Information Sciences, University of Alabama (1993) MS, Computer and Information Sciences, University of Alabama (1988) BS, Economics, University of Pennsylvania (1987) His research interests include advancing semantic web technologies and intelligent systems. He has actively contributed to academic administration, including overseeing accreditation processes and leading research initiatives. His advising record spans over two decades, with students focusing on areas like service-oriented architectures and constraint logic programming.

• Semantic Web Services
• Artificial Intelligence
• Web Services Choreography
• +۳ مورد دیگر

Vicky Papadopoulou Lesta is an Associate Professor in the Department of Computer Science and Engineering at the European University Cyprus, where she holds a full-time position. Previously, she served as a Post-Doctorate Researcher at the University of Cyprus (2004-2008) and as a Visiting Lecturer at both the University of Patras (2003-2004) and the University of Cyprus (2007-2008). Her educational background includes a PhD (2003), Master's degree (2001), and Bachelor Diploma (1998), all in Computer Engineering and Informatics from the University of Patras, Greece. Dr. Papadopoulou Lesta's research spans the Theory of Algorithms and Complexity with focus on Computational Complexity, Graph Theory, Algorithms, Approximation and Combinatorial Algorithms, Parallel Algorithms, Algorithmic Game Theory, and Distributed Systems. Her work has significant applications in Facility Allocation problems, Topological Network Control, Frequency Assignment, and Wireless Sensor Networks. Her publications appear in prestigious journals including Algorithmica, Theoretical Computer Science, and Computer Networks. Her research has been supported by European Union and Cypriot state-funded projects. Chair of Organizing Committee for 2nd International Symposium on Algorithmic Game Theory (2009) Co-editor of Springer LNCS proceedings for SAGT 2009 Scientific Program Committee member for ICALP 2015 Regular reviewer for Theoretical Computer Science journal She has contributed significantly to network security validation, nonfunctional requirements validation, and cooperative user network interactions, applying game theoretic approaches to solve complex computational problems in wireless networks and security systems.

• Theory of Algorithms and Complexity
• Computational Complexity
• Graph Theory
• +۱۰ 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

Δημόπουλος Γιάννης serves as Professor and Vice Chair of the Department of Computer Science at the University of Cyprus, with continuous academic service since 1995 following research roles at Max-Planck-Institut für Informatik (1992-1994) and University of Freiburg (1996-1998). His institutional affiliation spans Cyprus's premier research university within the Faculty of Pure and Applied Sciences framework. Educational background includes: Ph.D. in Computer Science, Athens University of Economics, 1992 B.Sc. in Computer Science, Athens University of Economics, 1987 Research centers on Artificial Intelligence with rigorous focus on Knowledge Representation and Reasoning, Planning, Logic Programming, Constraint Satisfaction, and Machine Learning. His work integrates theoretical foundations with practical problem-solving systems, emphasizing logical frameworks and constraint-based methodologies for intelligent decision-making architectures. This establishes him as a core contributor to symbolic AI approaches within Mediterranean academic circles. Administrative leadership as Vice Chair demonstrates institutional commitment alongside scholarly activities.

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Planning
• +۳ مورد دیگر

Petr Hájek is a Professor at the University of Pardubice in the Institute of System Engineering and Informatics, Czech Republic. With 236 publications, 71,463 reads, and 5,595 citations, he has established himself as a prominent researcher in computational intelligence and machine learning applications. His research interests span multiple domains of computational intelligence, with particular focus on: Machine learning applications in financial forecasting and risk management Neural networks and fuzzy logic systems for time series prediction Sentiment analysis for financial markets and social media Fraud detection and fake news identification systems Cryptocurrency price forecasting and market analysis ESG analytics and sustainable finance applications Analysis of his recent publications (2023-2025) reveals an expanding research scope that increasingly integrates sustainability considerations with financial technology. His work demonstrates sophisticated methodological approaches, frequently employing hybrid neural network architectures, ensemble learning techniques, and advanced text mining methods. Professor Hájek's research shows strong international collaboration patterns with scholars across Europe, Asia, and North America. His scholarly contributions have focused on developing practical AI solutions for complex financial problems, with particular attention to handling class imbalance issues in financial datasets and creating interpretable models for financial decision-making. Professor Hájek maintains an active research program with consistent publication output across top venues in computational intelligence and financial technology. His work bridges theoretical advances in machine learning with practical applications in finance, demonstrating both academic rigor and real-world relevance.

• Machine Learning
• Neural Networks
• Fuzzy Logic
• +۷ مورد دیگر