Giorgos Sfikas is an Assistant Professor at the University of West Attica and a researcher at the National Centre for Scientific Research 'Demokritos'. He holds a PhD in Image Processing and Computer Vision (University of Strasbourg, 2012), MSc in Computer Science (University of Ioannina, 2007), BSc in Computer Science (2004), and a BA in History & Archaeology (2014). His research focuses on Computer Vision, Machine Learning, Document Image Processing, and applications in Cultural Heritage. He has authored over 50 peer-reviewed publications, including best paper awards in biomedical imaging and bioengineering. Notable contributions include work on quaternionic neural networks, GANs for document processing, and the Bessarion dataset for medieval Greek inscriptions. Teaching includes courses on Computer Graphics, Machine Learning, and Photogrammetry. He leads projects in multispectral imaging, historical document analysis, and AI-driven archaeology.
Professor Georgios Kouroupetroglou is a leading academic at the National and Kapodistrian University of Athens (NKUA), serving as Professor in the Department of Informatics and Telecommunications. He holds significant roles including President of the Association for the Advancement of Assistive Technology in Europe (AAATE) and membership in the European Academy of Sciences and Arts. His research focuses on digital accessibility, voice processing, assistive technologies for disabilities, and music computing. He has pioneered initiatives such as the 'Accessibility Unit' and the Speech and Accessibility Research Laboratory at NKUA. Education: B.Sc. in Physics and Ph.D. in Communications and Signal Processing. He has held administrative roles including Chairman of the Department of Informatics and Telecommunications, Director of Postgraduate Studies, and Director of the M.Sc. Programme in 'Language Technology'. Research interests span: Computer Accessibility & Voice User Interfaces Accessibility of Documents and Mathematics Music Computing and Ancient Instruments Gesture-Based UIs and Haptics Inclusive Education Technologies Publications highlight innovations in: Assistive tech for mobility and motor disabilities Audio-tactile interfaces for blind users Accessibility in higher education Acoustic modeling of historical instruments He has authored over 180 papers and books, reviewed numerous EU projects, and teaches courses on accessibility, signal processing, and assistive tech. His work bridges clinical science and technology, emphasizing sustainability and global inclusivity.
George C. Alexandropoulos George C. Alexandropoulos is an Associate Professor at the Department of Informatics and Telecommunications, School of Sciences, National and Kapodistrian University of Athens (NKUA). He also holds an adjunct professorship at the University of Illinois Chicago. His research focuses on wireless communication systems, signal processing, and reconfigurable intelligent surfaces (RIS), with contributions to integrated sensing and communications (ISAC), millimeter-wave/THz systems, and distributed machine learning. Education Ph.D. in Computer Engineering and Informatics, University of Patras, Greece (2010) M.A.Sc. in Signal and Communications Processing Systems, University of Patras, Greece (2005) Engineering Diploma (5 years), Computer Engineering and Informatics, University of Patras, Greece (2003) Research Interests Alexandropoulos' work spans algorithmic design for wireless networks, optimization of multi-antenna systems, and full-duplex radios. He is particularly known for pioneering contributions to reconfigurable metasurfaces, including their application in ISAC and 6G networks. His research emphasizes practical implementations, such as prototypes for AoA estimation and field trials for RIS deployment. Articles His publications highlight advancements in secure ISAC, fluid RIS design, and edge-intelligence networks. Recent work explores challenges in THz RIS hardware and OTA edge inference using metasurface-integrated neural networks. Scientific Awards IEEE ComSoc Leonard G. Abraham Prize (2024) IEEE Marconi Prize Paper Award (2021) NKUA Research Excellence Award (2023-2024) Advising & Grants Alexandropoulos has led several EU and industry projects, including contributions to Huawei's 5G standards and TII's AI research. His work often involves interdisciplinary teams and practical prototyping. Labs & Teams He is affiliated with the Communications and Signal Processing division at NKUA and collaborates with institutions like ATHENA Research Center and the Technology Innovation Institute (Abu Dhabi).
Eleftheria Sergaki is a permanent Laboratory Teaching Staff member (EDIP) at the Technical University of Crete , School of Electronic and Computer Engineering and the Electrical Power Systems Laboratory . She has served the university continuously since 1985 in roles ranging from Contract Lecturer-Researcher to her current academic post. Education PhD in Electronic & Computer Engineering, Technical University of Crete, 2011 MSc in Electronic & Computer Engineering, Technical University of Crete, 1997 BSc in Physics, Aristotle University of Thessaloniki, 1985 Research Interests Her research lies at the intersection of automatic control, energy efficiency and machine learning . Core themes include the design of fuzzy-logic-based control algorithms that minimise energy losses in electric motors—work that has yielded an individual 2008 patent—the application of machine-learning techniques for predictive modelling of physical processes, and the development of AI-assisted diagnostic algorithms for medical imaging. Across these areas she leverages techniques such as adaptive control, artificial neural networks, neuro-fuzzy systems, discrete wavelet transforms and convolutional neural networks, bridging power engineering, biomedical engineering and computer science. Publication Trends Her 27 peer-reviewed works (2000–2023) exhibit a clear trajectory: early contributions focused on laser instrumentation and physics education shifted after 2006 toward electric-motor efficiency optimisation and advanced motor-control algorithms , and since 2018 have expanded into deep-learning applications in medical imaging , particularly capsule endoscopy and brain-tumour detection. Scientific Awards & Distinctions Teaching Work Award (EDIP) – Senate of the Technical University of Crete, 2018 National distinction – Greek delegation leader, International Physics Teaching Conference, CERN Distinction – Panhellenic Physics Construction and Experiment Competition, National Research Foundation 2 nd eligible contractor – national educational textbook authoring programme Grants, Projects & Service Scientific Project Manager, EPEAEK Project (Greek National Research Council), 1998–2000 Evaluator, IEEE Transactions on Industrial Electronics, IEEE Transactions on Fuzzy Systems, Elsevier journals, etc. Co-author, Laser: Working Principles and Applications (Evgenidis Foundation, 2008) Laboratory & Team Affiliations She is a key member of the Electrical Power Systems Laboratory , where she co-supervises student projects and experimental work. Previously she co-founded and worked in the Laboratory of Matter Structure & Laser Physics (TUC) from 1985 to 2013, contributing to its establishment and instrumentation.
Nikolaos Sapidis is a Professor at the Department of Mechanical Engineering, University of Western Macedonia, Greece, leading the 'Division of Constructions and Materials'. His career spans over three decades with previous roles at the University of the Aegean and multiple academic/research institutions including the National Technical University of Athens and Technical University of Catalonia. He earned a Ph.D. in Mechanical and Aerospace Sciences from the University of Rochester, USA, and holds degrees in Applied Mathematics (University of Utah) and Naval Architecture (National Technical University of Athens). His research focuses on Computational Design and Analysis , including CAD/CAE integration, geometric modeling of curves/surfaces, virtual engineering, and finite-element methodologies. Notable areas include solid modeling, point-cloud-based CAD, reverse engineering, and virtual reality applications in mechanical systems. He has authored over 80 publications and actively contributes to editorial boards of journals like Computer-Aided Design and Computer-Aided Design and Applications . His work emphasizes practical industrial applications, with research implemented in systems by companies like General Motors and Mercedes-Benz. Key contributions include algorithms for shape preservation in curves/surfaces, automated assembly design frameworks, and finite-element model optimization for large-scale systems. He directs the Laboratory of Mechanical Systems , advancing interdisciplinary research in mechanical design and virtual engineering.
Emmanouil Varitis is an Associate Professor in the Department of Mechanical Engineering at the University of Western Macedonia, within the Polytechnic School. Born in Thessaloniki in 1980, he holds a PhD in Reverse Engineering and Rapid Prototyping (2009) and a Mechanical Engineering degree (2004). He joined the University of Western Macedonia in 2010 as a Research Assistant and was promoted to Associate Professor in 2017. His research focuses on CAD/CAM, design automation, additive manufacturing, and reverse engineering, with applications in biomedical engineering and archaeological 3D reconstruction. Education: 2009: PhD in Reverse Engineering and Rapid Prototyping 2004: Mechanical Engineer Research interests span computational mechanics, biomaterials, and manufacturing processes. Notable work includes finite element modeling of lumbar stability, laser scanning of archaeological artifacts (e.g., Parthenon friezes), and optimization of industrial productivity through model-based definition systems. He has authored over 20 peer-reviewed publications and contributed to more than 10 research projects. Laboratory: Laboratory for Biomaterials and Computational Mechanics . Courses taught include Machine Elements I and II.
George Matsopoulos is a tenured Professor at the Division of Information Transmission Systems and Material Technology, part of the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). His research focuses on medical image processing, AI-driven healthcare systems, and telemedicine applications. He holds a diploma in Electrical Engineering from NTUA (1988), an M.Sc. (1989), and a Ph.D. (1993) from the Bioengineering Unit at the University of Strathclyde, U.K. His research portfolio includes over 300 peer-reviewed publications in journals, conferences, and books. Key areas include nonlinear image processing for medical diagnostics, 2D/3D medical image registration, computer vision applications in healthcare, and decision support systems for clinical workflows. He has pioneered frameworks for integrating AI into telemedicine, radiomics analysis for cancer detection, and robotic-assisted rehabilitation systems. Recent work emphasizes healthcare robotics ontologies (HERON), deep learning for MRI/PET analysis, and predictive models for neurological conditions like bipolar disorder. He leads interdisciplinary projects such as TeleRehaB DSS (balance rehabilitation) and the Retention Project (heart failure prediction). His contributions span clinical decision support, medical device design, and AI ethics in healthcare systems. Notable achievements include the development of automated segmentation algorithms for organs at risk in radiotherapy, machine learning models for early-stage disease prediction, and AR/VR tools for stroke rehabilitation assessment. His work bridges electrical engineering, computer science, and biomedical applications, addressing unmet clinical needs through technology innovation.
Aristomenis Antoniadis is a Professor in the Department of Production Engineering and Management at the Technical University of Crete. His academic journey includes a Mechanical Engineering Diploma from Aristotle University of Thessaloniki (1984) and a PhD in Mechanical Engineering from the same institution (1989). He has held roles such as Lecturer at the University of Thessaly (1991–1994) and Professor at Technical Educational Institutes of Serres & Crete (1994–2008). His research focuses on Manufacturing Technologies, Reverse Engineering, CAD/CAM/CAE, and Bioengineering. He has authored 7 books and over 90 publications across international journals and conferences. Key research areas include laser engraving processes, finite element modeling, 3D printing, and simulation tools for machining operations. His work on gear manufacturing, tool wear prediction, and augmented reality training interfaces demonstrates interdisciplinary innovation. He has contributed to over 30 research projects as a participant or scientific manager. His laboratory, Production Systems, explores cutting-edge technologies in manufacturing systems and sustainable production methods. Antoniadis is affiliated with the Technical University of Crete’s School of Production Engineering and Management. He has advised numerous students and collaborates extensively on industrial applications, including photovoltaic system optimization and cultural heritage digitization projects. His work bridges academic research with practical industrial solutions, emphasizing both innovation and educational outreach through serious games and virtual training environments.
Pavlos Koulouridakis is a researcher at the Technical University of Crete (TUC), serving as head of the 'Computer Aided Design (CAD)' and 'Product Design and Development' laboratories under the Production Systems sector. He holds a PhD from TUC (2008) following a Physics degree (1998, University of Crete) and a Master's in Environmental Engineering (2005, TUC). Research Focus: 3D scanning using laser/X-ray technologies, material analysis via EDXRF systems, recycling methodologies for end-of-life products. Professional Experience: Since 2008, leads R&D in product lifecycle management, contributing to programs like Heraclitus, Pythagoras, Greek-Slovenian collaborations, and photovoltaic recycling initiatives. His work integrates advanced imaging techniques with sustainable manufacturing practices, emphasizing quality control and environmental management. Currently active in academic research without noted awards or formal teaching roles listed.
Benardos Panorios is an Associate Professor at the National Technical University of Athens (NTUA), affiliated with the School of Mechanical Engineering and the Section of Manufacturing Technology . Education: PhD in Mechanical Engineering from NTUA (2009) Diploma of Mechanical Engineering from NTUA (2001) Research Interests: His work focuses on Computer Aided Manufacturing (CAM) , Design of Experiments (DoE) , Modelling and Optimisation of Manufacturing Processes and Systems , and Robotic applications in Manufacturing Processes and Systems . He also explores intersections with Artificial Intelligence , Machine Learning , Machine Vision , Data Analytics , and the Industrial Internet of Things (IIoT) . Scientific Awards: Thomaideio Award for the progress of science and arts (2002) Thomaideio Award for the progress of science and arts (2003) Thomaideio Award for the progress of science and arts (2004) Thomaideio Award for the progress of science and arts (2006) Professional Memberships: Member of the Technical Chamber of Greece Member of the Greek Mechanical and Electrical Engineers Society Associate Fellow of the Higher Education Academy Current Teaching Duties: He teaches undergraduate courses such as Machine Tools , Manufacturing Processes A & C , and Manufacturing Systems I & II . At the postgraduate level, he leads the course CAM and Applications and serves as the Erasmus International Students Coordinator.
Marios Pitikakis is a Lecturer at the Computer Science Department of the University of Crete , where he teaches courses including Calculus, Database Management, Web Services, Logic, and Artificial Intelligence. He holds a PhD in Computer Science (2011) and dual BSc degrees in Computer Science (2000) and Mathematics (1996) from the University of Crete. His research focuses on Semantic Data Management, Medical Informatics, 3D Visualization, and STEM education , with applications in musculoskeletal disease detection, computer-aided diagnosis, and 3D biomedical data workflows. He has contributed to EU-funded projects like XRinVET, MultiScaleHuman, and PERCEIVE , integrating 3D technologies, digital libraries, and AI in healthcare and cultural heritage. Scientific Contributions include developing automated cartilage thickness measurement tools, patient-specific scaffolds for orthopedics, and ontologies for medical knowledge management. His work bridges Web Services, IoT, and Digital Entrepreneurship in VET education. Marie Curie PostDoctoral Fellowship (2013-2015) He has also taught secondary-level Informatics (2006-2017), covering programming, robotics, and microelectronics. His technical expertise spans Python, Java, 3D design, and grid computing .
Philippos Azariadis Topaloglou is a Professor at the Department of Industrial Design and Production Engineering , School of Engineering , University of West Attica since June 1, 2022. Previously, he served as Assistant Professor, Associate Professor, and Professor at the University of the Aegean (2002–2022). His academic background includes a Mathematics degree (1994) and a PhD in Mechanical and Aeronautical Engineering (1999) from the University of Patras . Research focuses on Mathematical Methods for Designing Industrial Products Expertise in Industry 4.0 , Bioengineering , and Geometric Modeling His work has industrial applications in the footwear , apparel , and electronics sectors. He has participated in European and National R&D projects as researcher and coordinator, and is active in peer-review for 40+ international journals , 140+ conferences , and funding bodies. He has been a member of editorial boards for 6 journals and program committees for 100+ conferences.
Aarti Gupta is a Professor in the Department of Computer Science at Princeton University, where she conducts research in formal verification, program analysis, and automated decision procedures. She has made significant contributions to the field of system analysis and verification, with her work being applied in industrial settings. Before joining Princeton, she led research in systems analysis and verification at NEC Labs America. Dr. Gupta received her PhD in Computer Science from Carnegie Mellon University. Her academic journey has positioned her as a leading figure in formal methods and verification techniques. Her research focuses on two main areas: theoretical foundations and practical applications. Foundations include formal methods, model checking, program analysis, automated synthesis, and SAT/SMT solvers. Applications span verification of software, hardware, networks, and distributed systems. Gupta's work bridges the gap between theoretical advances and real-world implementation, with particular emphasis on developing techniques that scale to handle complex industrial systems. Gupta's recent publications demonstrate a clear trajectory toward more modular, scalable, and practical verification techniques. She has increasingly focused on network verification, with several papers addressing the challenges of verifying distributed network control planes. Her work also shows growing interest in hardware verification, particularly for Systems-on-Chip (SoCs), and the intersection of formal methods with neural networks. A notable trend is the development of techniques that combine symbolic reasoning with learning approaches to improve verification scalability. Dr. Gupta has received numerous prestigious awards for her contributions: ACM Fellow (2017) - for contributions to system analysis and verification techniques and their transfer to industrial practice PLDI 2023 Distinguished Paper Award for "Synthesizing MILP Constraints for Efficient and Robust Optimization" IEEE ICNP 2022 Best Paper Award DATE 2021 Best Paper Award (Track D) ACM TODAES 2020 Best Paper Award IEEE Micro Top Pick 2018 Honorable Mention Dr. Gupta has advised numerous graduate students and postdoctoral researchers, including current PhD candidates Divya Raghunathan, Akash Gaonkar, Deyuan He, and Dexin Zhang. Among her former students are Timothy Alberdingk Thijm and Lauren Pick. She has also mentored postdoctoral fellow Grigory Fedyukovich and visiting student Yueling Zhang. Her research has been supported by significant grants that have enabled her to lead projects such as SyLVer (Synthesis, Learning, and Verification) and network verification initiatives in collaboration with researchers like Dave Walker and Ryan Beckett. Dr. Gupta leads the SyLVer research group at Princeton, which focuses on developing techniques that improve the scalability of algorithmic verification by combining deductive learning with learning on data and examples. Her group collaborates extensively on network verification projects, particularly through the Minesweeper initiative with Dave Walker and Ryan Beckett, and on Instruction Level Abstraction (ILA) for System-on-Chip verification in collaboration with Sharad Malik's group.
Maria Drakaki is Professor of Humanistic Engineering and Dean of the School of Science and Technology at the International Hellenic University. She also serves as Director of the Institute for Refugee Flows and Crisis Management of the University of Macedonia, and leads multiple postgraduate programs including the MSc in Environmental Management and Sustainability and the MSc in Humanitarian Logistics and Crisis Management. Dr. Drakaki earned her Ph.D. in Physics from the University of Texas at Austin (1992), an M.Sc. in VLSI System Design from the University of Westminster (2004), and a B.A. in Physics from the Aristotle University of Thessaloniki (1986). Her academic career progressed from research positions at the Aristotle University of Thessaloniki to faculty roles at various Greek institutions before her current position. Her research focuses on humanitarian engineering, AI methods for disaster management, humanitarian logistics, decision support systems, and supply chain management. She has pioneered approaches that combine advanced computational techniques with humanitarian applications, particularly in crisis response and management. Her work bridges the gap between traditional engineering disciplines and humanitarian practice. Analysis of her recent publications reveals a strong trend toward applying artificial intelligence, particularly machine learning and natural language processing techniques, to humanitarian challenges. Her research spans disaster response, migration management, supply chain resilience during crises, and community-based partnerships for resilience building. She has increasingly focused on social media analysis for disaster management and the application of transformer models for consequence identification from accident narratives. Fulbright Scholar Best paper award at the International Conference on Information Systems Architecture and Technology (2017) Humanitarian Engineering Lectureship award from UT Austin (2024) Dr. Drakaki supervises 4 PhD candidates and has participated in numerous European research projects including the European Qualifications – Refugees and Recognition 4 (EQUAL), Transforming Graduate Education for Green and Sustainable Future (T-Green), and the Humanitarian Engineering project with UT Austin. She serves on editorial boards including as Associate Editor for the Data Analytics for Social Impact Section of Frontiers in Big Data. She directs the Institute for Refugee Flows and Crisis Management and has established strong research collaborations across Europe.
Christos Konaxis is a researcher affiliated with the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens. His academic career spans over a decade, with significant contributions to computational geometry and algebraic algorithms. He serves as Technical Coordinator for major European research projects including GRAPES (Learning, processing and optimising shapes) and previously ARCADES (Algebraic Representations in Computer-Aided Design for complEx Shapes). Dr. Konaxis specializes in computational geometry, algebraic algorithms, and computer-aided design. His research focuses on implicitization techniques, polynomial systems, resultant polytopes, and sparse interpolation methods. He has developed novel algorithms for computing Newton polygons, Minkowski sums, and geometric operations using matrix representations. His work bridges theoretical algebraic geometry with practical applications in geometric modeling and computer-aided design. His publication record shows a consistent trajectory of high-impact research in computational geometry, with recent work emphasizing efficient algorithms for shape processing and optimization. His articles demonstrate expertise in both theoretical foundations and practical implementations, particularly in developing output-sensitive algorithms and software frameworks for algebraic computations. Technical Coordinator, GRAPES Marie Curie Training Network (2019-2024) Technical Coordinator, ARCADES Marie Curie Training Network (2016-2019) Researcher, Thales Collaborative Project (2012-2015) Post-doctoral researcher, ACMAC, University of Crete (2011-2013) Dr. Konaxis has contributed to numerous research projects funded by European programs, demonstrating strong grant acquisition capabilities. His teaching portfolio includes Algorithms in Structural Bioinformatics, Discrete Mathematics, Computational Algebra, and Computational Geometry, reflecting the breadth of his expertise across theoretical and applied domains.
