جستجوی استاد راهنمای دانشگاهی

Panagiotis Michailidis is a Professor at the Department of Balkan, Slavic and Oriental Studies, School of Economic and Regional Studies, University of Macedonia. His academic work focuses on Computational Methods and Informatics, integrating technological expertise with regional studies. BSc (1998) and PhD (2004) in Applied Informatics from University of Macedonia Academic career progression: Lecturer (2004-2013), Assistant Professor (2014-2019), Associate Professor (2019-2023), now Professor Research spans computational approaches to social science and humanities, with significant contributions to: Social Data Science Digital Humanities Quantitative Social Science Parallel/Distributed Computing String Matching Algorithms Scientific Computing Recent publications reveal interdisciplinary focus combining: Augmented Reality applications for cultural heritage Machine Learning for Greek language sentiment analysis High-performance computing implementations Metaheuristic optimization techniques Scientometric analyses of research fields Active in academic service through: IEEE memberships Conference program committee roles Guest editor for Algorithms special issue Research program participation Reviewing for multiple journals Teaching portfolio includes: DIGITAL SOCIAL RESEARCH METHODS INFORMATION, TECHNOLOGY AND SOCIETY QUANTITATIVE METHODS OF SOCIAL SCIENCES SPACE AND CULTURAL MANAGEMENT COMPUTER SCIENCE TOPICS

• Social Data Science
• Digital Humanities
• Quantitative and Computational Social Science
• +۴ مورد دیگر

Dionysios Sotiropoulos serves as an Assistant Professor at the Department of Informatics, University of Piraeus, specializing in bio-inspired algorithms with emphasis on social media analysis. His academic career spans multiple prestigious institutions in Greece and internationally. Dr. Sotiropoulos earned his PhD in Computer Science from the University of Piraeus in 2011, following his undergraduate degree in the same field from the same institution in 2003. His doctoral research focused on bio-inspired computing with particular emphasis on machine learning methodologies based on Artificial Immune Systems. His primary research interests encompass Machine Learning, Data Mining, Evolutionary Computation, and Signal Processing, with specific applications in Digital Social Networks. He develops machine learning and pattern recognition algorithms for data mining from social networks, with recent publications focusing on community detection in platforms like Twitter, prediction of future ties, thematic modeling of user posts, sentiment analysis, and computational theory of Opinion Formation Models. Dr. Sotiropoulos has served as a post-doctoral researcher at the Athens University of Economics and Business in the Department of Management Science and Technology, where he is a member of the SocioMine research group. He also held a position as visiting researcher at the Norwich Business School, University of East Anglia, demonstrating his international research collaborations.

• Machine Learning
• Bio-inspired Computing
• Artificial Immune Systems
• +۷ مورد دیگر

Tzavelas Georgios is an Associate Professor at the Department of Statistics and Actuarial Science, School of Finance and Statistics, University of Piraeus. With a distinguished academic career spanning several decades, he has established himself as a prominent researcher in statistical theory and methodology, with particular expertise in estimation theory, characterization problems, environmental statistics, and biostatistics. His educational background includes a Ph.D. in Mathematical Statistics (1994), Master of Arts (1991), both from the University of Maryland at College Park, and a Bachelor's Degree in Mathematics (1984) from the University of Patras. His academic journey began with exceptional promise, as he ranked in the top 5% of students throughout his undergraduate studies. Professor Tzavelas' research focuses on advanced statistical methodologies with applications across multiple domains. His work in estimation theory has produced significant contributions to understanding parameter estimation in complex models, particularly with biased and size-biased samples. His research in environmental statistics has addressed critical issues related to environmental monitoring and assessment, while his biostatistics work has contributed to medical research methodology. Recent research trends show a strong emphasis on weighted distributions, characterization theorems, and the application of statistical methods to biomedical and environmental data. His scholarly output demonstrates consistent productivity with numerous publications in prestigious journals including Journal of Applied Statistics, Biometrical Journal, Metrika, and Journal of Statistical Computation and Simulation. His work often bridges theoretical developments with practical applications, particularly in healthcare and environmental contexts. Exemplary Teaching Award, University of Maryland at College Park (1993) Ranked in the top 5% of students at University of Patras (1981-1983) Throughout his career, Professor Tzavelas has participated in numerous research programs funded by various institutions, addressing diverse topics from healthcare quality assessment to environmental statistics. His collaborative approach is evident in his extensive co-authorship with researchers across different disciplines. He has also contributed significantly as a reviewer for international journals including Applied Statistics, Journal of Statistical Computation and Simulation, and Communication in Statistics. His teaching portfolio spans both undergraduate and graduate levels, with courses in sampling methods, statistical estimation, clinical trials, and biostatistics. His research program continues to advance statistical methodology while addressing real-world problems in healthcare, environmental science, and social research.

• Estimation
• Characterization problems
• Environmental Statistics
• +۳ مورد دیگر

Georgios Tsichrintzis serves as a Professor in the Department of Informatics at the University of Piraeus within the School of Information and Communication Technologies. He has held significant administrative positions including Chair of the Department of Informatics from 2016-2020, Deputy Chair from 2008-2012, and Director of multiple graduate programs. With over 23 years of service at the university, he has participated in more than 50 departmental and university committees. His research focuses on Pattern Recognition, Machine Learning, Decision Theory, Statistical Signal Processing and Computational Intelligence, with applications spanning Multimedia Interactive Services, Software User Modeling, Knowledge-based Software Systems, Human-Machine Interaction and Information Retrieval. He has published over 350 research papers in major international journals and conferences, authored six monographs, and edited 30 collective volumes. Tsichrintzis holds leadership positions in academic publishing as editor-in-chief of the International Journal of Computational Intelligence Studies and Intelligent Decision Technologies, while serving on editorial boards of 18 other international journals. He co-founded book series with SPRINGER and co-chairs the steering committee for the annual INFORMATION, INTELLIGENCE, SYSTEMS AND APPLICATIONS conference. His educational background includes a degree in Electrical Engineering from the National Technical University of Athens and advanced degrees from Northeastern University in the USA.

• Pattern Recognition
• Machine Learning
• Decision Theory
• +۷ مورد دیگر

Petros Maragos is a Professor at the National Technical University of Athens (NTUA) in the School of Electrical and Computer Engineering, where he directs the Division of Signals, Control and Robotics. He founded the Computer Vision, Speech Communication & Signal Processing Lab (1999) and the Hellenic Robotics Center of Excellence (2025). His research spans signal processing, computer vision, robotics, and machine learning, with 450+ publications and leadership in 50+ EU/Greek/US projects. Education includes a Dipl.Ing. from NTUA (1980), M.Sc./Ph.D. from Georgia Tech (1982/1985), and faculty positions at Harvard University (1985-1993) and Georgia Tech (1993-1998). Research Focus: Multimodal perception, nonlinear systems, assistive robotics, and deep learning. Recent work integrates tropical geometry with neural networks, robotic healthcare applications, and sign language technologies. Articles emphasize neural architectures, real-world robotics, and AI for social good. Awards: IEEE Fellow (1995), EURASIP Fellow (2010) IEEE W.R.G. Baker Prize (1995) NSF Presidential Young Investigator Award (1987-1992) CVPR/PETRA Best Paper Awards (2022-2025) Advising & Grants: Supervised 30+ PhDs and 130+ Master's students. Secured funding from EU Horizon 2020, NSF, and Greek national programs for projects like i-Walk (robotic mobility) and e-Prevention (mental health monitoring). Labs: Leads NTUA's Intelligent Robotics Lab and co-founded the Robotics Institute at Athena Research Center, focusing on human-robot interaction and perception systems.

• Signal Processing
• Computer Vision
• Robotics
• +۵ مورد دیگر

Işıl Dillig is an Associate Professor of Computer Science at the University of Texas at Austin, where she leads the UToPiA research group. Her academic career spans over a decade of significant contributions to programming languages research, particularly in program analysis, verification, and synthesis. Dr. Dillig received all her academic degrees (BS, MS, and PhD) from Stanford University before joining the faculty at UT Austin. Her educational background established the foundation for her innovative research approach that bridges theoretical computer science with practical applications. Her research focuses on developing techniques to make software systems more reliable, secure, and easier to build through advanced program analysis, verification, and synthesis methods. She has pioneered approaches that combine symbolic reasoning with machine learning to tackle complex software engineering challenges across multiple domains including security, databases, and programming language theory. Her work demonstrates exceptional depth in creating practical tools that address real-world software development problems while maintaining strong theoretical foundations. Analysis of Dr. Dillig's publication record reveals a consistent trajectory of innovation in program synthesis, with recent work expanding into neurosymbolic approaches that bridge neural networks with formal methods. Her research shows strong connections between theoretical foundations and practical applications, particularly in security-critical systems, database technologies, and blockchain applications. The evolution of her work demonstrates increasing sophistication in handling complex program structures while maintaining practical usability. Dr. Dillig has received prestigious recognition for her research contributions: Sloan Fellowship NSF CAREER award As a dedicated educator and research leader, Dr. Dillig has served in significant roles including Program Chair for PLDI 2022 and Steering Committee member for PLDI. She has mentored numerous students through her UToPiA research group, guiding research in program synthesis, verification, and analysis. Her work has been supported by substantial research grants that have enabled innovative projects at the intersection of programming languages and security. Dr. Dillig leads the UToPiA (UT Austin Programming, Languages, and Analysis) research group, which focuses on developing novel techniques for program analysis, verification, and synthesis. The group maintains strong collaborations with industry partners and academic institutions worldwide, translating theoretical advances into practical tools that address real software engineering challenges.

• Program analysis
• Program synthesis
• Program verification
• +۴ مورد دیگر

Jeremy Gibbons is Professor of Computer Science at the University of Oxford, where he leads the Algebra of Programming research group and serves as Director of the Software Engineering Programme offering part-time professional Masters' degrees. He is a Governing Body Fellow at Kellogg College and has held significant leadership roles including Deputy Head of Department and Chair of the Faculty of Computer Science (2012-2016). His research focuses on programming methodology, particularly functional languages and object-oriented languages, with emphasis on expressing and reasoning about recurring patterns in software structure. He has made substantial contributions to functional programming, program construction, and the mathematics of program design, often drawing connections between category theory and practical programming techniques. His recent publications demonstrate continued innovation in functional programming techniques, memory technologies, and algorithm design, showing consistent focus on mathematical foundations of programming. The work spans theoretical explorations and practical applications of programming language concepts. CEng (Chartered Engineer) MBCS (Member of the British Computer Society) CITP (Chartered IT Professional) FIAP (Fellow of the International Association for Pattern Recognition) Gibbons has supervised numerous doctoral students and actively mentors both current and past students including Juuso Haavisto, Johannes Hartmann, and Jack Liell-Cock. His leadership extends to major conference committees and editorial boards, having served as Editor-in-Chief of the Journal of Functional Programming and current Editor-in-Chief of The Programming Journal. He leads the Algebra of Programming research group at Oxford, which explores the mathematical foundations of programming and develops techniques for program construction based on algebraic principles. The group maintains strong connections with international research communities through IFIP Working Groups 2.1 and 2.11.

• Programming languages
• Functional programming
• Software engineering
• +۷ مورد دیگر

Dimitrios Karapiperis serves as an Academic Scholar at the School of Science and Technology, International Hellenic University (IHU), specializing in Entity Resolution and Privacy-Preserving Record Linkage. Previously, he held a post-doctoral position at the Hellenic Open University. He earned his PhD from the Hellenic Open University and his MSc from the University of York (UK). His doctoral thesis was featured in the IEEE Intelligent Informatics Bulletin of August 2017, highlighting its significance in the field. Dr. Karapiperis' research centers on developing advanced algorithms for entity resolution, including similarity measures, data structures, and scalable distributed solutions using randomization techniques. His work extends to privacy-preserving methods for record linkage with applications in electronic health records, cryptocurrency analysis, and social media sentiment. He has made significant contributions to efficient record linkage in data streams and spatio-temporal data through innovative blocking techniques and approximation schemes. His recent publications (2020-2022) reveal a consistent focus on scalable and privacy-aware record linkage, with increasing applications in financial technology and affective computing. Collaborations with prominent researchers like V.S. Verykios have resulted in numerous publications in top venues including IEEE Big Data and IEEE TIFS, demonstrating expertise in both theoretical foundations and practical implementations. Scientific Recognition Doctoral thesis featured in IEEE Intelligent Informatics Bulletin (2017) Research Projects University of York: Development of Java servlets for converting VisioXML into GSML within the High Integrity Systems Engineering research group University of Macedonia: Standardization of distance learning systems University of Macedonia: Establishment of a data bank for the fur sector in Kastoria University of Macedonia: System for organizing business processes of the Ministry of Macedonia and Thrace Dr. Karapiperis has collaborated with research teams across multiple institutions, contributing to diverse projects from healthcare data integration to government business process optimization, while maintaining active research in scalable entity resolution methodologies.

• Entity Resolution
• Record Linkage
• Privacy-Preserving Record Linkage
• +۳ مورد دیگر

Apostolos Ampatzoglou serves as Associate Professor in the Department of Applied Informatics at the University of Macedonia, where he leads research in software engineering with particular emphasis on technical debt management and software quality. Previously, he held an Assistant Professor position at the University of Groningen (2013-2016) and maintains active collaborations across European research initiatives. His academic credentials include a PhD in Software Engineering from Aristotle University of Thessaloniki (2013), MSc in Computer Systems from the University of Macedonia (2005), and BSc in Informatics from the Technological Education Institute of Thessaloniki (2003). Dr. Ampatzoglou's research program centers on technical debt quantification, reverse engineering, and software maintainability. He pioneered financial models for technical debt management and developed metrics for assessing ripple effects in software systems. His work bridges theoretical foundations with industrial applications through projects like SDK4ED and SmartCLIDE, focusing on energy-efficient development and cloud service engineering. Current investigations explore machine learning applications for vulnerability prediction and technical debt prioritization. His extensive publication record reveals strong trends in applying AI to software quality assurance, with recent work emphasizing transformer models for vulnerability detection and explainable AI for technical debt identification. He actively investigates energy-aware development practices and service-oriented architecture patterns in cloud environments. Notable recognitions include: Top-7 reviewer for Journal of Systems and Software (2022) Best paper awards at IGSCC'21, ICSR'18, and EASE'17 18th most active Consolidated Researcher in Software Engineering (2013-2020) 3rd most active Early Stage Researcher (2010-2017) Multiple personal research grants from National Scholarships Association He has successfully supervised PhD candidates including Dr. Areti Ampatzoglou (Best PhD Thesis Award, University of Groningen) and Dr. Elvira-Maria Arvanitou (VERSEN Institute award). His research is funded through major European projects such as SDK4ED, SmartCLIDE, and SKILLAB, with recent grants exceeding €2M in total funding. Current work focuses on FAIR data implementation and skills gap analysis in European labor markets. As leader of the Software Engineering Lab at the University of Macedonia, he directs a 15+ member team working on technical debt management tools, cloud development environments, and XR applications for warehouse management. The lab maintains strong industry partnerships with technology clusters in Thessaloniki and participates in the Eclipse Foundation ecosystem.

• Technical Debt
• Reverse Engineering
• Software Maintainability
• +۵ مورد دیگر

Dr. Georgios Drakakis serves as Professor of Information Technology at the American College of Greece (Deree) since 2018, concurrently holding the position of Chief Executive Officer at Purposeful, an in silico drug repurposing company. He is a Research Area Leader within the Research, Technology & Innovation Network (RTIN) focusing on cheminformatics and bioinformatics. His educational background includes: PhD in Cheminformatics from University of Cambridge (2011-2015) MSc in Advanced Biological Sciences (Bioinformatics) from University of Liverpool (2009-2010) MSc in Computer Science from Trinity College Dublin (2008-2009) BSc in Computer Science from Aristotle University of Thessaloniki (2003-2007) Dr. Drakakis' research centers on applying machine learning and artificial intelligence to drug discovery, repurposing, and computational toxicology. His work bridges cheminformatics, bioinformatics, and data science to develop predictive models for compound mechanism of action, cytotoxicity, and polypharmacological effects. Recent efforts include computational approaches for identifying drug candidates against emerging pathogens like SARS-CoV-2. His publication record features 13 journal articles and 2 book chapters in high-impact venues including ACS Chemical Biology and Journal of Chemical Information and Modeling, with consistent focus on translational computational methods. Notable recognition includes: Engineering and Physical Sciences Research Council Doctoral Prize As an educator, he teaches Machine Vision and Semantic Web for the MSc in Data Science program, and Data Mining for the BSc in Information Technology program. His leadership in RTIN's Cheminformatics & Bioinformatics Research Area demonstrates commitment to advancing computational approaches in pharmaceutical sciences. His dual role as academic and CEO reflects strong industry-academia integration in his career trajectory.

• Cheminformatics
• Bioinformatics
• Drug Discovery and Repurposing
• +۴ مورد دیگر

Dr. Georgios Kokosalakis serves as Assistant Professor at the School of Business and Economics, American College of Greece (ACG), and Executive Director of the Center of Excellence in Logistics, Shipping and Transportation (CoELST). He maintains dual academic roles as Senior Research Associate at University of Patras' Civil Engineering Department and Educational Counselor at MIT, while also directing industry ventures through Proteus Marine Ltd. His academic credentials include: Science Doctorate in Civil and Environmental Engineering, MIT (2006) Master of Science in Civil and Environmental Engineering, MIT (2000) Diploma in Civil Engineering (Structural Division), National Technical University of Athens (1998) Dr. Kokosalakis' research centers on Maritime Systems and Environmental Protection, with emphasis on operational efficiency, energy conservation, and emissions control in shipping logistics. His interdisciplinary approach integrates large data analytics, systems modeling, and sensor technology to develop practical solutions for sustainable maritime operations while addressing environmental pollution challenges. Recent publications (2019-2021) reveal dual research trajectories: maritime-focused work on energy efficiency impacts on container ship valuation, regulatory responses in shipping, and pandemic effects on second-hand markets; and civil engineering contributions to water distribution network optimization through probabilistic modeling of minimum night flow and real losses. This cross-disciplinary pattern demonstrates his ability to transfer methodologies between maritime and infrastructure domains. His scientific recognition includes: Schoettler Fellowship Award from MIT (2002-2003) Technical Chamber of Greece Best Thesis Award (1998) Exceptional Student Performance Awards (1995-1997) Active grant funding supports his research through projects with Athens Water Supply Company (2021), Greece's Center for Renewable Energy Sources (2020), and Hellenic Foundation for Research Innovation (2019). His industry experience as a shipowner and Proteus Marine Ltd Director provides practical grounding for academic work, though specific student supervision details aren't documented in available materials. The Center of Excellence in Logistics, Shipping and Transportation (CoELST) functions as his primary research ecosystem, facilitating collaborations between ACG, University of Patras, MIT, and maritime industry partners to advance sustainable transportation solutions through integrated engineering and business perspectives.

• Maritime Systems
• Environmental Protection
• Shipping
• +۶ مورد دیگر