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Saday SadayappanView profile

Professor

• Compiler Optimization
• High-Performance Computing
• Sparse/Dense Matrix Computations
• +3 more

P. (Saday) Sadayappan is a Professor at the University of Utah's School of Computing, specializing in high-performance computing and compiler optimizations. His research focuses on performance optimization for parallel systems, particularly for tensor computations, sparse matrix operations, and machine learning workloads. He leads multiple NSF and DARPA-funded projects focused on GPU optimization, tensor computations, and scalable machine learning frameworks. Research Interests: Dr. Sadayappan's work spans compiler optimizations for high-performance systems, optimization of sparse/dense matrix/tensor computations, scalable machine learning, and algorithm-architecture co-design. His recent projects include developing performance-portable frameworks for tensor applications and optimizing data locality for scientific computing. Publication Trends: His recent publications (2020-2022) predominantly focus on GPU acceleration of machine learning workloads (especially CNNs), automated I/O complexity analysis, and optimization techniques for sparse matrix/tensor operations. Earlier work (2018-2019) established foundations in GPU code generation for tensor contractions and cache optimization. Awards and Honors: ACM SIGPLAN Most Influential PLDI Paper Award (2018) for A Practical Automatic Polyhedral Parallelizer and Locality Optimizer Active Grants and Projects: NSF: A Comprehensive Framework for Efficient, Scalable, and Performance-Portable Tensor Applications (2022-2027) NIH SBIR: Enabling next generation machine learning for large scale image analysis (2023-2025) NSF: AI Institute for Intelligent CyberInfrastructure (ICICLE) (2021-2026) NSF: Data Locality Optimization for Sparse Matrix/Tensor Computations (2020-2024) DARPA SBIR: Performance Portable Framework for Developing Graph Applications (2017-2022) Teaching: He currently teaches CS 4230/6230 (Parallel and High-Performance Computing) at the University of Utah.

Christina GeorgoulakiView profile

Senior Lecturer

• Neural Networks
• Digital Signal Processing
• Telecommunications Systems
• +2 more

Christina Georgoulaki serves as a Senior Lecturer in the Department of Informatics and Computer Engineering at the School of Engineering, University of West Attica, specializing in computational techniques for telecommunications infrastructure. Education Bachelor's Degree in Informatics, National and Kapodistrian University of Athens (1990) Master's Degree in Electronics and Radiology, National and Kapodistrian University of Athens (1993) PhD in Informatics and Telecommunications, National and Kapodistrian University of Athens (1999) Research Focus Her work centers on Neural Networks and Digital Signal Processing with direct applications in modern telecommunication systems. She develops efficient algorithms for pattern recognition and signal optimization, targeting real-world communication network challenges. Her research bridges theoretical computation with practical engineering solutions for data transmission efficiency. Publications With 34 international publications, her scholarly output demonstrates consistent innovation in signal processing methodologies. The body of work shows progressive refinement of neural network applications specifically tailored for telecommunications infrastructure optimization. Awards No scientific awards or fellowships were documented in the source material. Academic Activities Information regarding student supervision, research grants, or funded projects was not provided in available documentation. Office location: K16,999, Campus 1.

Giannis NikolentzosView profile

Assistant Professor

• Learning on Graphs
• Graph Mining
• Machine Learning
• +1 more

Giannis Nikolentzos is an Assistant Professor at the Department of Informatics and Telecommunications, University of Peloponnese. His research focuses on graph representation learning, machine learning, and artificial intelligence. Prior to this role, he was a postdoctoral researcher at Ecole Polytechnique and completed his PhD in Computer Science at Athens University of Economics and Business, advised by Michalis Vazirgiannis. He holds an MSc in Artificial Intelligence from the University of Southampton and a Diploma in Electrical and Computer Engineering from the University of Patras. His research interests include learning on graphs, graph mining, and machine learning applications in healthcare and social networks. He has contributed to advancements in graph neural networks (GNNs), adversarial attacks on GNNs, and synthetic data generation using variational graph autoencoders. Recent Publications highlight trends in understanding GNN representations, adversarial robustness, and graph reasoning with large language models. His work has been presented at top conferences like NeurIPS, ICML, and ICLR. Nikolentzos has developed the Grakel Python library for graph kernels and contributed to open-source tools like the repository for 'What Do GNNs Actually Learn?' which includes implementation details, datasets (e.g., IMDB-BINARY), and dependencies such as PyTorch and NetworkX.

Lisimachos P. KondiView profile

Professor

• signal processing
• communications
• image/video compression
• +8 more

Lisimachos P. Kondi is a Professor at the University of Ioannina in the Department of Computer Science and Engineering, where he has established himself as a leading researcher in signal processing and communications. His academic career spans over two decades with significant contributions to video compression, wireless transmission, and image processing. Education: Diploma in Electrical Engineering, Aristotle University of Thessaloniki, Greece (1994) M.S. in Electrical and Computer Engineering, Northwestern University, USA (1996) Ph.D. in Electrical and Computer Engineering, Northwestern University, USA (1999) Professor Kondi's research focuses on signal processing and communications, with particular emphasis on image/video compression , video transmission over wireless channels , video quality assessment , sparse representations , compressive sensing , super-resolution of video sequences , image watermarking , and shape coding . His work bridges theoretical foundations with practical applications in wireless communications and medical imaging. His recent publications demonstrate a strong trend toward medical image processing and super-resolution techniques, with increasing integration of machine learning approaches. The research spans from theoretical frame construction for compressed sensing to practical applications in wireless visual sensor networks and medical imaging. Teaching: Current Courses (2022-2023): Communication Systems, Multimedia, Video Processing and Compression Previous Courses: Introduction to Programming, Signals and Systems, Topics in Digital Signal Processing, Statistical Signal Processing, Topics in Networking, Topics in Digital Image Processing Professor Kondi has authored the book 4G Wireless Video Communications (Wiley, 2009) and contributed chapters on Color Image Super-Resolution and Video Telephony to major reference works. His research has been published extensively in top-tier journals including IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, and SPIE Journal of Electronic Imaging.

• Optical Communications
• Neuromorphic Computing
• Nonlinear Optics
• +5 more

Adonis Bogris is a Professor at the Department of Informatics, University of West Attica (formerly part of the Technological Educational Institute of Athens). His research focuses on all-optical signal processing, high-speed transmission systems, neuromorphic computing, and nonlinear optics. He holds a B.S. in Informatics, M.Sc. in Telecommunications, and Ph.D. from the National and Kapodistrian University of Athens (1997, 1999, 2005). He has authored/co-authored over 200 articles, cited over 3,000 times. His work spans optical fiber networks, mid-infrared photonics, and physical-layer security. He serves as an Associate Editor for Optica Optics Continuum (since 2018) and IEEE Journal of Lightwave Technology (since 2022). He is a Senior Member of Optica and actively reviews for top journals like IEEE, Elsevier, and Nature. Research interests include: All-optical networking and transmission systems Neuromorphic photonic accelerators Nonlinear effects in optical fibers/waveguides Earthquake detection via fiber-optic sensing (e.g., DAS) Recent work emphasizes photonic neuromorphic processors for imaging cytometry and secure communication systems. He has led EU/national projects as Principal Investigator and contributed to standards through roles in GUnet, GRNET, and UNESCO committees. His lab explores cutting-edge applications like fiber-based seismology and high-throughput convolutional neural networks using integrated photonics.

Christos TroussasView profile

Assistant Professor

• Adaptive Hypermedia Systems
• Artificial Intelligence in Education
• Human-Centered Artificial Intelligence
• +3 more

Christos Troussas is an Assistant Professor at the Department of Informatics and Computer Engineering, University of West Attica. His research focuses on adaptive hypermedia systems, artificial intelligence in education, human-centered AI, and human-computer interaction. He holds a PhD in Informatics from the University of Piraeus, along with MSc and BSc degrees in related fields. Education Background: PhD in Informatics, University of Piraeus MSc in Intelligent Technologies of Human-Computer Interaction, University of Piraeus BSc in Informatics, University of Piraeus Research Interests: His work emphasizes personalized software engineering, adaptive systems in education, and the integration of AI with pedagogical theories. He explores technologies like augmented reality (AR) and fuzzy logic for enhancing learning experiences, particularly for special education needs and spatial skill development. Publication Trends: Recent publications highlight advancements in neuro-symbolic systems, gamified learning environments, and reinforcement learning for adaptive interfaces. He consistently addresses challenges in educational technology adoption and user-centric design. Editorial & Professional Roles: Academic Editor of Advances in Human-Computer Interaction and Editorial Board member of multiple journals. Technical Program Committee member at international conferences. Grants & Collaborations: Participated in national/international research projects focusing on AI-enhanced educational tools and digital learning frameworks.

• Computational Mathematics
• Numerical Analysis
• Interval Analysis
• +6 more

Dimitris Sotiropoulos is an Assistant Professor at the Department of Electrical and Computer Engineering, University of Peloponnese, specializing in Engineering Mathematics . He holds a B.Sc. in Mathematics (1995) and a Ph.D. (2005) in Mathematical Programming and Numerical Analysis. Over 20 years of higher education teaching Author/co-author of 36+ scientific articles Supervised 20+ postgraduate theses Research Interests focus on computational mathematics, global optimization algorithms, and machine learning. Specific areas include interval analysis for automatic result verification, large-scale optimization, nonlinear equation solving, and artificial neural network training. His scientific work spans sustainability assessments for aerospace components, uncertainty quantification in composite materials, and stress modeling in human-computer interaction. Articles highlight applications of interval analysis to optimization problems and neural network training improvements via BFGS methods. Teaching roles include lectures at Ionian University's Department of Informatics and University of Peloponnese's Department of Computer Science and Technology. He also serves on Hellenic Open University's Supervisory Board since 2009, mentoring postgraduate students in computational mathematics.

Pavlos FafaliosView profile

Assistant Professor

• Information Systems
• Information Retrieval
• Semantic Web
• +9 more

Pavlos Fafalios is an Assistant Professor at the School of Production Engineering and Management, Technical University of Crete. His research focuses on Information Systems, with specialties in Information Retrieval, Semantic Web, and Knowledge Engineering. He holds a PhD in Computer Science (University of Crete, 2016) and conducted postdoctoral research at L3S Research Center (Germany) and FORTH (Greece). He has been a visiting lecturer at the Hellenic Mediterranean University and actively contributes to the international research community through over 50 publications. His work emphasizes semantic interoperability, knowledge graphs, and interdisciplinary applications in cultural heritage and digital humanities. Education: Diploma in Information and Communication Systems Engineering (University of the Aegean, 2009) Master's in Information Systems (University of Crete, 2012) PhD in Computer Science (University of Crete, 2016) Research interests include: Information Retrieval (e.g., exploratory search, semantic search) Knowledge Engineering (ontology design, data integration) Applications in maritime history, disaster informatics, and circular economy His recent articles explore ontology governance, knowledge graph applications in fact-checking, and semantic interoperability frameworks. Notable achievements include the Marie Skłodowska-Curie Fellowship (2016-2019) and contributions to projects like the Claimskg system.

Kostas VlachosView profile

Assistant Professor

• Control Systems
• Robotics
• Microrobotics
• +4 more

Kostas Vlachos is an Assistant Professor at the Department of Computer Science and Engineering, University of Ioannina, Greece. His research focuses on robotic control systems, microrobotics, haptic mechanisms, and medical robotic simulators. He holds a PhD in Automatic Control and Robotics from the National Technical University of Athens (2004), an M.S. from the same institution (2000), and a B.Sc. in Electrical Engineering from the Technical University of Dresden (1993). Prior to his current role, he served as a Visiting Lecturer at the University of Thessaly's Mechanical Engineering Department (2007-2013). Education: B.Sc. (Dresden, 1993), M.S. (NTUA, 2000), Ph.D. (NTUA, 2004) Research Themes: Control of robotic mechanisms, medical simulators, haptic devices, and autonomous navigation systems Professional Experience: Software Analyst at INTRACOM S.A. (1996-1998), Visiting Lecturer (2007-2013) His research emphasizes autonomous marine platforms, haptic telemanipulation, and reinforcement learning applications . Notable projects include underwater robot navigation, internet-based haptic control, and medical training simulators. He is a member of the University of Ioannina's Information Processing and Analysis (I.P.AN.) research group. Advising spans 15+ students in robotics, control systems, and medical device development. Current students focus on topics like intelligent perception, force controllers for haptic devices, and mini-robot design. Past work includes over 70 student projects in path planning, robotic arm control, and sensor fusion. His publications (2025–1981) cover advanced control methodologies, microrobotics, and medical haptics. Recent work explores ensemble neural MPC, low-cost unmanned vehicles, and reinforcement learning in dynamic environments.

Vasileios ChasanisView profile

Researcher

• Machine Learning
• Video Analysis
• Video Summarization
• +6 more

Vasileios Chasanis is a researcher at the Department of Computer Science & Engineering, University of Ioannina, specializing in machine learning applications for video analysis, summarization, and surveillance systems. His work bridges theoretical algorithms with practical implementations in multimedia processing. Educational background: Diploma in Electrical and Computer Engineering, Aristotle University of Thessaloniki (2004) PhD in Computer Science, University of Ioannina (2009) His research focuses on Machine Learning and Computer Vision with emphasis on video structure analysis and real-time processing . Core methodologies include support vector machines , spectral clustering , and multi-view feature extraction for tasks like shot boundary detection, key-frame extraction, and scene segmentation. Recent work extends to clinical data mining and tourism technology applications. Publication trends show consistent innovation in video summarization algorithms and efficient feature extraction , with increasing interdisciplinary applications in healthcare and tourism. His 2023 work demonstrates expansion into web-based augmented reality systems for tourism destinations. Scientific recognition: Best Scientific Paper Award at ICPR 2014 for key-frame extraction research Research funding includes EU-cofunded projects: PENED 2003 (machine learning for video analysis), ARTreat FP7 (clinical decision support), and ongoing VIDEOSUM (video storage/summarization platform). Collaborates extensively with the IP AN Group at University of Ioannina. He co-developed the VideoSum platform—a comprehensive system for video storage, processing, and summarization—integrating spectral clustering and temporal analysis techniques for industrial applications in media management.

Argyris KalogeratosView profile

Researcher

• Machine Learning
• Network Science
• Computational Social Systems
• +2 more

Argyris Kalogeratos is a permanent senior researcher at the Centre Giovanni Borelli , École Normale Supérieure Paris-Saclay (ENS Paris-Saclay), Université Paris-Saclay, France, and a member of the Learning and Information Processing Systems (LIPS) research group. Previously, he was a research scientist at the Centre of Applied Mathematics, ENS Cachan, France (2013–2018). Research Focus: Machine Learning on Graphs Industrial Collaborations: SNCF, CEA, Michelin, RTE, EDF Research Chair: Industrial Data Analytics and Machine Learning (IDAML) His research interests span Machine Learning , Statistics , Network Science , Decision & Control , and Computational Social Systems . He leads the ML on Graphs research theme and participates in projects like the EDF Data Challenge and Île-de-France AI for Industry Challenge . Current PhD advisees include: Alejandro de la Concha Duarte (Statistical Machine Learning on Graphs) Gaëtan Serré (Global Optimization) Gwendal Debaussart (Graph Representation Learning) Eloi Campagne (Time-Series Forecasting for Energy Sector) Gaspard Abel (Machine Learning on Social Interaction Networks) Past funding includes the MORANE project (SNCF collaboration) and the SODATECH project (French government Big Data initiative). He coordinates the LIPS seminars and contributes to academic-industry synergies through projects like AIfluence and French-German Summer-schools .

• Theoretical Computer Science
• Programming Languages
• Formal Methods
• +5 more

Nikos Tzevelekos is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science, affiliated with the Theory Group and the Centre for Fundamental Computer Science. He holds a PhD from the University of Oxford's Department of Computer Science and previously worked as a postdoctoral researcher there. His primary research interests include theoretical computer science, mathematical models of computation, programming languages, and formal methods. He explores game semantics and category theory to develop tools for program analysis and verification. Education: PhD in Computer Science, University of Oxford Research Interests: Dr. Tzevelekos focuses on foundational aspects of computation, including program semantics, automata over infinite alphabets, and the application of formal methods to software verification. His work bridges abstract theoretical models (e.g., game semantics) with practical tools for analyzing and verifying software systems. Awards: 2023: Distinguished Paper Award at LICS Grants & Advising: Lead researcher on the Innovate UK-funded grant Mokapot/Millr: Next Generation Cloud Computing Infrastructure (2019–2020). Labs/Teams: Member of the Theory Group at Queen Mary, contributing to the Centre for Fundamental Computer Science. Collaborates on projects involving automata theory, program equivalence, and formal verification techniques.

• Astrophysics
• Observational Astronomy
• Eclipsing Binaries
• +4 more

Christopoulou Eleftheria Panagiota is an Assistant Professor at the Department of Physics, University of Patras. She specializes in observational astrophysics, focusing on eclipsing binaries, exoplanet detection, and astroparticle physics. Her academic journey includes a PhD in Astrophysics from the University of Patras (1993), an M.Sc. in Observational Astronomy from Victoria University of Manchester (1990), and a BSc in Physics from the University of Patras (1988). Her research involves CCD observations of variable stars, neural network applications in astrophysics, and instrumentation projects like the HELYCON cosmic ray telescope. She has authored university textbooks and general science books in Greek, including Introduction to Astronomy and Astrophysics and About Astrology . Teaching responsibilities include undergraduate courses in astrophysics, astronomy laboratories, and graduate courses on observational techniques. She has supervised over 17 diploma theses, 6 master’s, and 3 PhD theses. Current research projects include monitoring eclipsing binaries and analyzing light curves for exoplanet detection. Key contributions include studies on the Seyfert galaxy NGC 4151, planetary nebulae, and collaborations on the KM3NeT neutrino telescope. Her work bridges theoretical astrophysics with experimental methods, emphasizing interdisciplinary approaches in astronomy education and instrumentation.

Katerinis PanagiotisView profile

Professor

• Graph Theory
• Computational Geometry

Katerinis Panagiotis is a Professor at the Athens University of Economics and Business , with a PhD in Mathematics from the University of London (1986). His research focuses on Graph Theory and Computational Geometry , particularly in areas like existence of graph factors , toughness , and binding numbers . Bachelor in Mathematics, University of London Master (M.Sc.) in Mathematics, University of London Ph.D. in Mathematics, University of London His work addresses theoretical aspects of graph consistency and strategies of figures, contributing to understanding K-factors , binding numbers , and minimum degree conditions in graphs. Publications include key papers in the Journal of Graph Theory , Quarterly Journal of Mathematics , and Discrete Mathematics . Selected articles (1985-2000) analyze graph toughness, binding numbers, and f-factors, with implications in combinatorial optimization and network analysis. His office is located at Kodrigktonos 12, 4th Floor, and he can be reached via phone: +30 210 8203 557.

• Production Systems
• Business Processes
• Supply Chain Optimization
• +4 more

George Ioannou is a Professor of Production Management and Business Processes at the Athens University of Economics and Business, where he leads the MBA International Postgraduate Program and the Center for Business Processes and ERP Systems at the Laboratory of Management Science. Previously, he served as Assistant Professor at Virginia Tech's Department of Production and Systems Engineering. His academic journey includes a B.Sc. in Mechanical Engineering from National Technical University of Athens, an M.Sc./DIC in Industrial Robotics/Production Automation from Imperial College London, and a Ph.D. in Mechanical Engineering from the University of Maryland. Current Academic Roles: Professor, Director of MBA Program, Head of ERP Systems Center Prior Academic Roles: Assistant Professor at Virginia Tech Education: B.Sc., M.Sc./DIC, Ph.D. His research focuses on integrating web-based technologies with operational research to optimize production systems, business processes, and supply chains. This spans applications in plant spatial planning, ERP systems, and cultural heritage digitization. He has secured research funding from global organizations including NSF, European Commission, and private sector leaders like Microsoft. Scientific awards include Microsoft's Excellence in Education Award and multiple teaching excellence recognitions for MBA programs. Ioannou serves on the Technical Chamber of Greece (TEE) and the editorial board of Production Planning & Control , with extensive consulting experience for public and private sector entities.