Alexandros Fabio Kilias is a Researcher affiliated with the Department of Cultural Technology and Communication at the University of the Aegean (i-Lab). He holds a PhD from this institution and is listed as an alumni. His professional background includes work as a 3D Artist specializing in hard surface modeling, texturing, lighting, rendering, and animation, emphasizing experience in meeting tight deadlines. Education: PhD: University of the Aegean, Department of Cultural Technology and Communication (2022) MSc: University of Kent, Architectural Visualisation (2014) BSc: Ionian University, Dept. of Audio and Visual Arts (2012) His research interests span cutting-edge digital visualization techniques, including: - Three-dimensional computer graphics - Virtual reality applications - Architectural photorealism - Environmental art in virtual spaces - Advanced 3D modeling and rendering methodologies No academic awards or grants are explicitly mentioned in the provided information. He has no current advisees listed, though his alumni status suggests past involvement with academic programs. His primary research environment is the i-Lab at the University of the Aegean.
Konstantinos I. Aivalis is an Assistant Professor at the Hellenic Mediterranean University, teaching courses in Web Application Evaluation Systems, Data Visualization, Object-Oriented Java Programming, and Python Programming across the Departments of Electrical and Computer Engineering and Mechanical Engineering. He holds a Diplom Informatiker from the Technical University of Berlin (1983), a Master’s in Graphic Arts/Multimedia from the Open University of Greece (2011), and a PhD in Informatics from the University of Peloponnese (Web Analytics focus). Research interests: Web Analytics, Big Data, E-Commerce, Middleware, programming languages, and software engineering. Teaching since 1995 at Technical University of Crete and other institutions, including courses on Java, Python, and data structures. Professional background includes roles as a programmer in Germany (1974–1982), military service in the Hellenic Navy (1983–1984), and software development at institutions like the Institute of Informatics and Software Art. Collaborated on logistics and telematics projects with EU programs and industry partners.
Stevy Georgiadi is a Researcher and PhD Candidate at the University of Aegean's Faculty of Products and Systems Design Engineering, Department of Product and Systems Design Engineering. They specialize in User Experience (UX) Research and Design, combining technical expertise with creative problem-solving. Their roles include UX Researcher and Designer, focusing on designing products that are both functional and user-friendly. Education includes a PhD in Human-Computer Interaction (HCI) for health and wellbeing (2020–present), a Master's degree in Digital Systems from the University of Piraeus (2006–2008), and a Bachelor's in Graphic Arts and Visual Communication Design from the Technological Educational Institute of Athens (2001–2005). They also hold a UX Master Certification from the Nielsen Norman Group. Research interests center on HCI for health and wellbeing, positive computing, serious games, and gamification. They have extensive experience in software design, development, and evaluation, with roles in academia (2005–2012) and industry (2012–present). Their thesis explores theoretical and practical frameworks for promoting healthier lifestyles through interaction design and gamification. Advisory work includes collaboration with their thesis committee: Panayiotis Koutsampasis (supervisor), Damianos Gavalas, and Spyros Vosinakis. No grants or labs are explicitly mentioned in the provided texts.
Theocharis Theocharis is an Associate Professor of Theoretical Computer Science at the University of Athens. His research focuses on Graphics, Artificial Vision, and Biometrics. He holds a B.Sc. in Computer Science from London University (Queen Mary College), an M.Sc. in Computation from Oxford University, and a D.Phil. (PhD) from Oxford University. His professional career includes roles as a Research Fellow at Cambridge University, service in the Greek Navy, and academic positions at NTUA and Andersen Consulting before joining the University of Athens in 1993. His research interests emphasize computational models for visual systems, biometric authentication technologies, and theoretical foundations of computer graphics. Recent work extends into interdisciplinary areas combining computer science with medical diagnostics and bioinformatics. Notable contributions include studies on resistive breathing effects in pulmonary diseases and biomarker discovery in oncology. His publications span translational research in cancer biology, immunotherapy, and exosome-based diagnostics. Key areas of focus include epigenetic regulation in tumors, autophagy mechanisms in sarcomas, and biomarkers for renal and salivary gland malignancies. Dr. Theocharis has collaborated on international projects including the University of Houston Visiting Professorship (2002-2003). His work bridges theoretical computer science with medical applications, reflecting his interdisciplinary approach to solving complex biological and clinical problems.
Evangelos Kalogerakis is an Associate Professor at the School of Electrical and Computer Engineering of the Technical University of Crete . He was previously a tenured Associate Professor at the College of Information and Computer Sciences of the University of Massachusetts Amherst , where he started as an Assistant Professor in 2012. His research focuses on graphics and vision algorithms powered by Machine Learning and Artificial Intelligence to create and process 3D visual representations, including models of objects, scenes, animations, and geometric data. PhD in Computer Science from the University of Toronto (2010) Postdoctoral researcher at Stanford University (2010-2012) His work has been supported by European Research Council (ERC) Consolidator Grant and National Science Foundation (NSF) grants . He has served as Area Chair for major conferences (CVPR, ICCV, NIPS) and as Associate Editor for journals like IEEE TPAMI and TVCG . He was listed among the most cited computer graphics scholars globally. Email: kalogerakis@tuc.gr Personal website: https://kalo-ai.github.io
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
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.
