George Priniotakis is a Professor in the Department of Industrial Production Systems at the University of West Attica. He specializes in innovative textile technologies for multifunctional clothing, with a focus on medical and military applications, wearable sensors, and sustainable materials. His work bridges engineering, ergonomics, and environmental stewardship. University of Leeds – M.Sc. in Fiber Science and Technology (1992) University of Ghent – PhD in Conductive Textile Materials His research interests include: Smart systems using conductive textiles Risk management via wearable sensors Recyclable yarn development Innovative educational tools for engineering Professor Priniotakis has led numerous research projects as a scientific director and coordinator, participated in over 100 international conferences, and maintains an H-index of 12. He serves as President of the Organizing Committee for the biennial AITAE conference.
Vasilios Papadakis serves as an Assistant Professor at the University of West Attica with over two decades of international research and teaching experience spanning Delft University of Technology, Foundation for Technology and Research, University of Crete, and Hellenic Mediterranean University. His expertise centers on non-destructive testing, multispectral imaging, and diagnostic methodology development for material surface analysis under stress conditions. His academic foundation includes dual doctoral achievements: PhD in Spectral Tissue Imaging (Medical School, University of Crete) PhD in Organismal Behavior Observation via Machine Vision (Department of Biology, University of Crete) Dr. Papadakis' research integrates optical physics and engineering to pioneer diagnostic solutions. Core focus areas include: Spectroscopic characterization through Raman, infrared, and fluorescence techniques Material differentiation based on spectral signatures Optoelectronic device design for industrial information systems Dynamic surface analysis during stress exposure Analysis of his 150+ publications reveals dominant themes in Industry 4.0 implementation and sustainable manufacturing . Recent work demonstrates cross-disciplinary impact through 3D-printed infrastructure, biomimetic drone components, and machine learning-driven predictive maintenance systems—bridging theoretical mathematics with practical engineering solutions. As an educator, he teaches foundational engineering mathematics (Linear Algebra, Calculus) and specialized courses including Strength of Materials and Unmanned Aerial Systems. His pedagogical innovations feature low-cost robotics platforms like DuBot and sustainability integration through upcycled materials in mechatronics labs. He directs the Non-Destructive Testing and Systems Diagnosis Methodologies Laboratory , where his team develops imaging solutions for industrial quality control, with particular emphasis on stress-induced surface phenomena and embedded diagnostic systems for material science applications.
Nikolaos Batis is a Professor at the Department of Spatial Planning, Urban Planning and Regional Development Engineering at the University of Thessaly, where he has been serving since January 2020. He is also a member of the Integration Council of the University of Thessaly, which coordinates the procedures for completing the merger of the University with the Technical Institute of Thessaly. Prior to this, he served as a Professor at the General Department of the University of Thessaly (2019-2020) and as a Professor at the Department of Informatics Engineering at the TEI (Technical Educational Institute) of Thessaly from 2000 to 2019. His administrative experience includes serving as Rector of TEI of Thessaly (2017-2018), Vice President of the Management Council (2013-2016), and Dean of the School of Technological Applications (2003-2010). Batis earned his PhD in Operations Research from New York University Tandon School of Engineering in 1983, following Master's degrees in Economic Systems (1981) and Operations Research (1978) from the same institution, and a Mathematics degree from the National University of Athens in 1976. His academic career began as an Assistant Professor at the University of Massachusetts/Boston (1982-1984), followed by significant research work at Bell Laboratories (1984-1989) where he made foundational contributions to Frame Relay technology. Batis's research primarily focuses on high-speed communication protocols, network architecture, and operations research. His work at Bell Laboratories formed the basis for Frame Relay as an ANSI Standard, of which he was the Editor. He has published extensively in telecommunications, biomedical engineering (particularly in ocular microcirculation), and operations research. His research spans theoretical computer science, network design, and practical applications in telecommunications infrastructure. His publications reflect a diverse research trajectory from early work on network protocols and optimization algorithms to more recent interdisciplinary work combining telecommunications with biomedical applications. The most recent publications (2010-2013) show a focus on biomedical engineering applications, particularly in ocular microcirculation analysis, while maintaining connections to his foundational work in measurement systems and data analysis. EXCECTIONAL CONTRIBUTION AWARD from Bell Labs (March 1989) for contributions to network architecture design EXCECTIONAL CONTRIBUTION AWARD from Bell Labs (March 1988) for standardization of Frame Relay networking EXCECTIONAL CONTRIBUTION AWARD from Bell Labs (July 1987) for packet mode networking in ISDN EXCECTIONAL CONTRIBUTION AWARD from Bell Labs (July 1985) for methodology development in telecommunications network design CERTIFICATE OF APPRECIATION from American Institute of Decision Sciences (March 1985) for fostering academic-industry collaboration Batis has supervised numerous research projects and has been instrumental in developing academic programs, including the creation of the Department of Information Technology and Telecommunications at TEI of Larissa. His research committee activities include leadership roles in major projects such as the 'Employment and Career Structure (DASTA) TEI' proposal and the 'Access Network and Core Services for Education' project. He has also contributed to European collaborative projects including 'INTELLECT - Intelligent Learning Environment for Course Telematics' and the development of the European Postgraduate Master in Information Systems program. His laboratory work has focused on computer applications in spatial design, with contributions to research centers including the Information Systems Research Center (KePS) and the Center for Applied Geoinformatics. His current research continues to bridge telecommunications engineering with biomedical applications, particularly in the measurement and analysis of microcirculatory systems.
Christos Drosos is an Assistant Professor at the Department of Industrial Design and Production Engineering , School of Engineering , University of West Attica . His academic focus spans Industry 4.0 technologies , Internet of Things (IoT) , Industrial Supervisory Systems , Heuristic and MetaHeuristic Algorithms , Information Systems , and Embedded Systems . Education : BEng in Automation Engineering, Technological Educational Institute of Piraeus MSc (with distinction) in Informatics, University of Piraeus PhD in Computer Science, University of Piraeus (2016) Postdoctoral Research, University of Thessaly Research Interests center on advancing Industry 4.0 through technologies like IoT and Embedded Systems , with applications in automated manufacturing , environmental monitoring , and smart infrastructure . His work also explores heuristic algorithms for optimization and robotics in sustainable contexts. Recent Publications highlight trends in 3D printing , swarm robotics , and wireless sensor networks for cultural heritage preservation and agricultural modernization . These studies emphasize Industry 4.0 integration, sustainability , and smart system optimization . Laboratory Affiliation : Dr. Drosos is associated with the Electronic Automation, Telematics & Cyber-Physical Systems Research Laboratory at the University of West Attica, supporting his work in automation , IoT , and embedded systems .
Dr. Panagiotis Repoussis serves as Associate Professor of Operations Research and Supply Chain Management at the Department of Marketing and Communication within the School of Business at Athens University of Economics and Business (AUEB). Previously, he held positions as Assistant Professor at Stevens Institute of Technology and visiting Lecturer at the University of Piraeus and Bayes School of Business at City University of London. His academic foundation includes a Diploma in Chemical Engineering from the National Technical University of Athens (2002), followed by graduate studies at Imperial College London and AUEB where he completed his doctoral dissertation in November 2008. His educational trajectory reflects a strategic shift from chemical engineering to operations research specialization. Dr. Repoussis specializes in Operations Research with concentrated expertise in Supply Chain Management , Vehicle Routing and Scheduling , and Production Systems Optimization . His research integrates mathematical modeling with computational intelligence to solve complex combinatorial optimization problems across logistics networks, manufacturing operations, and transportation systems. Key methodological contributions include advanced algorithms for dynamic scheduling under uncertainty and real-time decision support frameworks. Analysis of his 15 most recent publications (2019-2025) reveals a strong research trajectory toward Industry 4.0 applications, with increasing focus on IoT/AGV integration in manufacturing, disruption-resilient logistics, and robust optimization under stochastic conditions. Vehicle routing problems remain his dominant research theme, now extended to cross-docking operations, profit-oriented routing, and humanitarian logistics contexts. As principal investigator, Dr. Repoussis has secured research funding from NSF, EU programs, non-profit organizations, and private sector partners across Europe and North America. His academic service includes editorial board membership for Transportation Research Part E and Advances in Operations Research, leadership roles in the Hellenic Operational Research Society and Production and Operations Management Society, and organization of major conferences including Odysseus and MathSports. His professional activities demonstrate deep engagement with both theoretical advancements and practical implementations, particularly through development of decision support systems for waste management, healthcare logistics, and energy-aware production scheduling. Current initiatives emphasize the convergence of prescriptive analytics with emerging digital technologies in operational planning contexts.
Dimitrios Pappas is a faculty member at the Department of Statistics within the School of Information Sciences and Technology at Athens University of Economics and Business . His research spans multiple disciplines, including Statistics , Linear Algebra , Image Processing , and Financial Mathematics . His work focuses on generalized inverses , matrix factorization , and quadratic optimization , with applications in image deblurring , credit risk modeling , and smart local energy systems . Recent publications highlight his contributions to network intrusion detection , Markov chain lumpability , and symbolic computation methods . While no specific scientific awards or student advising details are provided in the available text, his extensive publication record demonstrates expertise in applied mathematical modeling and computational techniques . He can be contacted at dpappas@aueb.gr .
Dr. Manolis N. Kritikos serves as Professor of Operations Research and Information Systems at the Department of Management Science and Technology, School of Business, Athens University of Economics and Business (AUEB). He holds concurrent leadership roles as Director of the Management Science Laboratory (MSL), Deputy President of his department, and President of AUEB's student club, while teaching undergraduate and graduate courses across multiple Greek institutions including National and Kapodistrian University of Athens and University of West Attica. His academic foundation includes: B.Sc. in Mathematics from the University of Athens M.Sc. in Computer Science and Operations Research from the University of Athens Ph.D. in Computer Science and Management Science from AUEB (funded by AUEB and EDAMBA with Rotterdam Business School as host) Research centers on combinatorial optimization, mathematical programming, and AI/ML applications for operational problems, developing algorithmic frameworks for supply chain, transportation, and production economics. His work bridges theoretical computer science with industrial performance measurement systems. Prestigious recognition includes: Elsevier's Certificate of Outstanding Contribution in Reviewing for Expert Systems With Applications (2017) Review Certificates from European Journal of Operational Research, International Journal of Production Economics, and four additional top-tier journals As Associate Editor for the Journal of Statistics and Management Systems, he has reviewed for over 20 journals while authoring a computer science textbook and editing Greek editions of Pearson/Manchester University Press works. His service extends to Secretary General of MASSEE (2015-2021), executive roles in the Hellenic Mathematical Society, consultancy for Greece's Ministry of Development, and oversight of 60+ government IT tenders. The Management Science Laboratory under his direction drives interdisciplinary optimization research with industry partners.
Dimitrios Kosmopoulos serves as Professor in the Computer Engineering and Informatics Department at the University of Patras, Greece, with extensive experience across multiple academic institutions including National Technical University of Athens (NTUA), Rutgers University, and University of Texas at Arlington. His research bridges theoretical computer science with practical applications in accessibility, agriculture, and cultural heritage preservation. Education: B.Eng. in Electrical and Computer Engineering, National Technical University of Athens (1997) PhD in Electrical and Computer Engineering, National Technical University of Athens (2002) Professor Kosmopoulos' research integrates computer vision, machine learning, and signal processing to solve real-world problems. His primary focus areas include sign language recognition systems for museum accessibility, precision agriculture applications for crop monitoring and disease detection, and digital restoration of ancient scripts like Mycenaean Linear B. His methodological innovations frequently involve geometric analysis, time-series modeling, and multimodal data fusion techniques that advance both theoretical frameworks and practical implementations. Analysis of his recent publications (2023-2025) reveals three dominant research thrusts: accessibility technologies for deaf communities (particularly museum navigation systems), agricultural automation using computer vision (olive grading, tomato disease detection), and computational archaeology (Linear B tablet restoration). His work consistently employs cutting-edge approaches including geometric knowledge distillation, coupled learning architectures, and 3D motion analysis, demonstrating strong interdisciplinary connections between computer science, agriculture, and humanities. No scientific awards were documented in the provided source materials. While specific advising details and grant information were not explicitly stated, his leadership in projects like HealthSign (sign language healthcare systems) and MuseLearn (museum accessibility platforms) indicates substantial research funding and collaborative supervision activities spanning computer vision, robotics, and assistive technology domains. Professor Kosmopoulos operates within the Division of Hardware and Computer Architecture at the University of Patras, collaborating with the Computer Technology and Architecture Laboratory, VLSI Microelectronics Laboratory, Signals and Telecommunications Laboratory, and Computer Communications Networks Laboratory. His current research integrates these facilities to develop systems like the SignGuide project for museum tours and frameworks for early pest detection in greenhouse crops, emphasizing practical implementations of machine learning in constrained environments.
Evi Papaioannou is an Assistant Professor at the Department of Computer Engineering and Informatics , University of Patras. Her research focuses on foundational and applied aspects of algorithms, computational complexity, and distributed systems, with interdisciplinary applications in education and the humanities. Researcher at the Computer Technology Institute & Press (CTI "Diophantus") Teaches courses like Theory of Computation , Parallel Algorithms , and Computational Complexity Research Interests span algorithmic design, wireless networks, game theory, and pedagogical approaches to computational thinking. She also integrates theoretical computer science into educational technology and humanities. Her affiliations include the Division of Applications and Foundations of Computer Science , which oversees research in fundamental principles and emerging areas like high-performance computing, artificial intelligence, and multimedia networks. She contributes to laboratories in combinatorial algorithms, distributed systems, and machine learning.
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
Ioannis Venetis is an Assistant Professor at the University of Piraeus, School of Information and Communication Technologies, Department of Informatics, specializing in Operating Systems and Parallel Computing. He earned his PhD from the Department of Computer Engineering and Informatics at the University of Patras. His research spans programming models for parallel systems, scheduling optimization, and applications in computational neuroscience and seismology. Research Interests Operating Systems Parallel Computing Scheduling Algorithms High-Performance Computing Computational Neuroscience Seismology Projects Participation in European and national research programs Development of Gisola (GPU-accelerated seismic inversion tool) His teaching portfolio includes courses like Operating Systems, Parallel Processing, and Symbolic Programming. Articles highlight expertise in GPU acceleration, tridiagonal solvers, sensor networks, and many-core architectures. Notable contributions include work on Chimera states in neuronal dynamics and hierarchical workload scheduling frameworks.
Professor Georgios Iliopoulos is a distinguished academic serving as Professor and Department Chair of the Department of Statistics and Actuarial Science at the University of Piraeus. With an extensive academic career spanning over two decades, Professor Iliopoulos has established himself as a leading expert in statistical theory and methodology. His leadership as Department Chair demonstrates his significant contribution to the academic community and his commitment to advancing statistical education and research. Professor Iliopoulos completed his educational journey at the University of Patras, earning his B.A. in Mathematics in 1993 followed by a PhD in Statistics in 1999. His academic career progressed through various institutions before he settled at the University of Piraeus, where he has held positions from Assistant Professor (2003-2010) to Associate Professor (2010-2015) and ultimately to Professor (2015-present). Professor Iliopoulos's research focuses on several key areas of statistical theory, with particular emphasis on Markov chain Monte Carlo methods, Statistical Decision Theory, Scale parameter estimation, Accurate inference under censorship, and Constrained inference arrangement. His work bridges theoretical statistics with practical applications, demonstrating how sophisticated statistical methods can solve real-world problems across various domains. His research has consistently addressed challenging theoretical questions while maintaining relevance to practical statistical challenges faced by researchers and practitioners. Analysis of Professor Iliopoulos's publication record reveals a strong focus on theoretical statistics with applications in reliability analysis, Bayesian inference, and censoring methodologies. His work demonstrates a consistent pattern of advancing statistical theory while maintaining practical relevance, particularly in the areas of parameter estimation, confidence interval construction, and inference with censored data. The interdisciplinary nature of his research is evident in publications spanning journals in statistics, biostatistics, and computational statistics. Professor Iliopoulos is actively involved in teaching both undergraduate and postgraduate courses. At the undergraduate level, he teaches Linear Algebra, Statistics II: Hypothesis Testing, and Special Topics in Statistics (Bayesian Statistics). For postgraduate students, he offers Computational Statistical Techniques as part of the Master of Science in Applied Statistics program. His teaching reflects his research expertise, providing students with both theoretical foundations and practical applications of advanced statistical methods.
Antonios G. Kladas is a Full Professor at the National Technical University of Athens (NTUA), School of Electrical and Computer Engineering, where he directs the Laboratory of Electrical Machines and Power Electronics. He holds a Diploma from Aristotle University of Thessaloniki (1982) and DEA/PhD degrees from Université Paris VI (1983-1987). His academic career spans roles as Assistant Professor (1996-2001), Associate Professor (2001-2006), and Full Professor (2006-present). Research Focus: Prof. Kladas specializes in electric machine and transformer design, renewable energy systems, industrial drives, and electromagnetic field computation. His work integrates finite-element modeling with optimization techniques for applications in electric vehicles, aerospace actuators, and power grids. Key innovations include hybrid electromagnetic-thermal methodologies and multi-objective evolutionary algorithms for motor design. Awarded the Best Paper Award at ICEM 2010 , he has led projects like the EU Clean Sky Programme and the fuel-efficient 'Pyrforos' vehicle prototype (Shell Eco Marathon 2012). He serves on steering committees for IEEE CEFC and ICEM conferences and has evaluated research programs for Italian/Portuguese agencies. Major Grants: EU Clean Sky (HPEM, EMAS), HERACLITOS II (electric vehicles), CREAM (integrated actuators) Advising: Supervised 14 PhD theses and >100 undergraduate projects on topics ranging from PM motor optimization to wave energy converters. Laboratory Leadership: Oversees 50+ researchers in the NTUA Laboratory of Electrical Machines and Power Electronics, focusing on experimental validation of industrial and renewable energy systems.
Dimitrios Soudris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), leading the Microprocessor and Digital Systems Lab (MicroLab). Previously, he served as Lecturer, Assistant, and Associate Professor at Democritus University of Thrace from 1995 to 2008. Diploma in Electrical Engineering (1987), University of Patras PhD in Electrical Engineering (1992), University of Patras His research focuses on Embedded Systems , Reconfigurable Architectures (FPGAs) , Hardware Accelerators for data centers/space/cloud, Edge Computing , and Low Power VLSI Design . Recent publications highlight trends in: AI/ML acceleration for edge and space applications Secure FPGA architectures for 6G networks Energy-efficient heterogeneous memory systems Approximate computing techniques Transformer optimization for low-power contexts Scientific Awards: INTEL and IBM awards (project LPGD #25256) HiPEAC, DAC, and ISCA awards (2010–2024) XILINX Open Hardware Design Contest (2017, 2019, 2021) He has coordinated >70 R&D projects funded by the European Commission, ENIAC-JU, ESA, and industry partners. As Associate Editor of ACM TODAES and conference chair (PATMOS, VLSI-SOC), he contributes to academic leadership. His lab, MicroLab, specializes in hardware-software co-design for emerging computing paradigms.
Vissarion Papadopoulos is a Professor in the Department of Structural Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA). His office is located at the Statics and Aseismic Research Laboratory, with contact details including email vpapado@central.ntua.gr and phone 210 772 4158. He has maintained an active research profile since at least 2016, focusing on advanced computational methods in structural engineering. His primary research domains include: Structural Engineering and Computational Mechanics Stochastic Analysis and Uncertainty Quantification Multiscale Modeling of Composite Materials Machine Learning for Engineering Simulations Optimization of Structural Systems Thermomechanical Behavior of Advanced Materials Analysis of his recent publications reveals a decisive shift toward integrating deep learning frameworks with traditional computational mechanics. His work demonstrates consistent innovation in accelerating solutions for parametric and transient structural problems through transformer networks, Bayesian inference, and physics-informed neural networks. Key application areas include carbon nanotube reinforced composites, sustainable automotive design, and seismic-resistant structures, with emphasis on enhancing computational efficiency while maintaining accuracy. He is affiliated with NTUA's Statics and Aseismic Research Laboratory, which specializes in structural dynamics, earthquake engineering, and advanced computational methodologies for civil infrastructure analysis and design.
