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Ioannis EmirisView profile

Professor

• Computational Geometry
• Algebraic Algorithms
• Robotics
• +4 more

Ioannis Z. Emiris is a Professor in the Department of Informatics & Telecoms at the National & Kapodistrian University of Athens and concurrently serves as President and General Director of the ATHENA Research Center in Greece. He holds a BSc in Computer Science from Princeton University (1989) and a PhD in Computer Science from UC Berkeley (1994). His research spans computational geometry, algebraic algorithms, robotics, structural bioinformatics, and optimization. He is a leading expert in sparse elimination theory, geometric modeling, and algorithmic algebra. Affiliations: ATHENA Research Center, National & Kapodistrian University of Athens, INRIA Sophia Antipolis (France via joint AROMATH team). Education: BSc (Princeton), PhD (UC Berkeley). Research Interests Emiris's work focuses on geometric algorithms, algebraic systems, and their applications. His contributions include advancements in sparse elimination theory, computational geometry for high-dimensional data, and robotics. He has developed algorithms for polynomial system solving, Voronoi diagrams, and geometric predicates for ellipses. Articles Overview His recent work bridges theoretical advances with practical applications, such as deep learning for protein structure prediction (HydraProt) and geometric algorithms for high-dimensional data analysis. He explores intersections between algebraic geometry and computational methods, with applications ranging from robotics to bioinformatics. Scientific Awards Best Paper Award at ISSAC 2003 and 2010 MSCA Network GRAPES (2019-2023) Advising & Grants Emiris has supervised numerous students and researchers, contributing to interdisciplinary projects. He has secured grants for initiatives like the GRAPES network and has led teams in algorithm design and geometric software development. His work on MARS (Maple/Matlab/C Resultant-Based Solver) exemplifies his focus on practical algorithm implementation. Labs & Teams He directs the Lab of Geometric & Algebraic Algorithms and collaborates with the AROMATH team at INRIA. His research group develops open-source tools for computational geometry and algebraic computations.

Evangelia Georgia KostakiView profile

Lecturer

• Epidemiology
• Molecular Epidemiology
• HIV/AIDS Research
• +7 more

Evangelia Georgia Kostaki is a Biostatistician and Epidemiologist serving as a Lecturer in the Department of Hygiene, Epidemiology, and Medical Statistics at the School of Medicine, National and Kapodistrian University of Athens (NKUA). She holds a PhD in Molecular Epidemiology from NKUA and has extensive teaching experience in medical statistics, epidemiology, and public health at the undergraduate and postgraduate levels. Her research focuses on molecular epidemiology of infectious diseases (HIV, HCV, HBV, and SARS-CoV-2), with emphasis on public health applications such as outbreak response and transmission network analysis. Education: Bachelor’s degree (NKUA) MSc in Biostatistics (NKUA) PhD in Molecular Epidemiology (NKUA) Research interests include HIV transmission dynamics, antiretroviral resistance surveillance, and pandemic response strategies. She has contributed to over 50 peer-reviewed articles and 2 book chapters, with active participation in global initiatives like the European AIDS Clinical Society (EACS) YING network and the Greek National Action Plan for HIV. Notable achievements include a New Investigator Scholarship (NSRF 2014-2020) and over 160 conference presentations internationally. Advisory roles include supervising 25+ MSc theses and supporting PhD candidates. Grants include co-investigator roles in national/international projects. She actively contributes to scientific societies, editorial boards, and guideline development for HIV testing protocols in Europe. Labs/Teams: Collaborates with the European Virus Bioinformatics Center (EVBC) and global networks addressing HIV and viral hepatitis epidemiology.

Dollas ApostolosView profile

Professor

• Reconfigurable Computing
• Hardware Architecture
• Embedded Systems
• +4 more

Professor Dollas Apostolos serves as a Professor in the School of Electrical and Computer Engineering at the Technical University of Crete (TUC), where he has held leadership roles such as Department Chairman. He directs the Microprocessor and Hardware Laboratory, focusing on reconfigurable computing, embedded systems, and high-performance digital systems. His work emphasizes rapid prototyping and real-world implementation of computational solutions. Education: Ph.D., Computer Science, University of Illinois at Urbana-Champaign (1987) M.Sc., Computer Science, University of Illinois at Urbana-Champaign (1984) B.Sc., Computer Science, University of Illinois at Urbana-Champaign (1982) Research Interests: Reconfigurable computing architectures FPGA-based acceleration for bioinformatics and genomics Embedded systems and real-time processing Hardware-software co-design for high-performance computing His research bridges theoretical innovation with practical applications, such as FPGA implementations for genome assembly and aquaculture monitoring systems. Publications: Recent work highlights FPGA-based solutions for bioinformatics (e.g., genome assembly acceleration), real-time embedded systems (e.g., fish cage net monitoring), and scalable data processing frameworks. His articles often explore the intersection of FPGA technology with computational biology, embedded vision, and distributed systems. Awards and Affiliations: Senior Member, IEEE and IEEE Computer Society Recipient of IEEE Computer Society Golden Core and Meritorious Service Awards Twice honored with the University of Illinois Teaching Excellence Award He is a co-founder of IEEE conferences like FCCM and RSP, reflecting his leadership in the reconfigurable computing community. Teaching and Labs: Teaches courses on computer architecture, logic design, and VLSI design. The Microprocessor and Hardware Lab under his direction drives advancements in FPGA-based systems, with projects ranging from bioinformatics hardware accelerators to embedded vision systems.

Dimitris MaroulisView profile

Professor

• Data Acquisition
• Real-Time Systems
• Pattern Recognition
• +6 more

Dimitris Maroulis is a Professor at the Department of Informatics and Telecommunications, University of Athens, leading the Real-Time Systems and Image Analysis Lab (RTS-image). With over 20 years of experience in data acquisition and real-time systems, and 15 years in image/signal analysis, he collaborates extensively with Greek and European hospitals in biomedical informatics. He has led 5 R&D projects and authored 150+ papers with 1400+ citations. University of Athens: Professor (2000–present) Meudon Observatory: Research Fellow (3 years) & Long-term Collaborator (10+ years) Research Interests focus on real-time systems , image/signal processing , and biomedical applications . Key areas include automated segmentation of proteomic images, noise removal methods, and stereo image coding. His 15 most recent publications (2003–2012) span 3D imaging , medical image analysis , and biomedical informatics , with sub-fields like autostereoscopic displays, wavelet-based coding, and computer-aided diagnosis. Awards : Best Paper Award (2012: Integral Image Analysis) Projects include European and national R&D initiatives in image analysis and real-time systems. Labs : RTS-image Lab develops methodologies for biomedical and proteomic applications.

Sofia KyratziView profile

Assistant Professor

• Geometric Modeling
• Computer-Aided Design (CAD)
• Parametric Modeling
• +5 more

Sofia Kyratzi is an Assistant Professor of Geometric Modeling and Computer-Aided Design at the University of the Aegean's Department of Product and Systems Design Engineering. She holds a PhD (2007) in Computer Graphics and Geometric Modeling from the same university, an MSc in Medical Informatics (2002) from Aristotle University of Thessaloniki, and a BSc in Mathematics (2000) from Aristotle University. Roles: Teaches courses like Computer Graphics, Computer-Aided Design, and related graduate topics. Research Focus: Parametric modeling, sketch-to-solid algorithms, design intent recognition, and Industry 4.0 integration in manufacturing. Her work includes developing algorithms for reconstructing 3D models from sketches, leveraging cloud computing for CAD applications, and optimizing footwear design via biomechanical modeling. Key contributions span over 15 peer-reviewed publications in journals like Computer-Aided Design and conferences addressing geometric modeling challenges. She collaborates on projects exploring Industry 4.0 technologies for SMEs, emphasizing cloud-based CAD tools and parallel computing optimizations. Her research bridges theoretical geometric principles with practical industrial applications.

• Renewable Energy Sources
• Distributed Generation
• Power Systems Engineering
• +9 more

Stavros Papathanasiou is a Professor at the National Technical University of Athens (NTUA), affiliated with the School of Electrical and Computer Engineering and the Department of Electric Power. His academic career includes a PhD (1997) and Diploma (1991) in Electrical Engineering from NTUA. He specializes in renewable energy systems, power electronics, grid integration of renewables, energy storage, and autonomous power systems. His research focuses on optimizing energy systems with high renewable penetration, microgrids, and grid stability in isolated/islanded grids. Prof. Papathanasiou has led over 100 projects addressing regulatory frameworks for RES and storage, grid codes, interconnections, and energy policy. He collaborates internationally with utilities like TEPCO, KEPCO, and TERNA. His work emphasizes technical solutions for integrating renewables, managing grid stability, and enhancing energy resilience in non-interconnected systems. Key research areas include wind energy systems, photovoltaic technologies, battery storage optimization, and hydrogen storage applications. He has published extensively (>170 papers) in journals like IEEE Transactions on Energy Conversion and Renewable Energy, focusing on technical challenges in renewable integration, power quality, and system dynamics. His lab, the Electric Machines and Power Electronics Laboratory, develops innovative solutions for distributed energy systems. Prof. Papathanasiou advises on national and EU energy policies, contributing to the design of state aid frameworks for renewable projects and grid infrastructure. He has advised governments on island decarbonization strategies and participated in international initiatives like the MERGE project on EV-grid interactions.

Ruzica PiskacView profile

Professor

• Software Verification
• Security and Applied Cryptography
• Automated Reasoning
• +4 more

Ruzica Piskac is a Professor of Computer Science at Yale University, where she leads the Rigorous Software Engineering (ROSE) group. She has made significant contributions to the fields of software verification, security, automated reasoning, and code synthesis, focusing on improving software reliability and trustworthiness through formal techniques. Dr. Piskac received her PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Prior to joining Yale, she led an independent research group at the Max Planck Institute for Software Systems in Germany (2012-2013). Her research spans several key areas: symbolic execution for Haskell (G2), privacy-preserving formal methods (PPFM), functional reactive synthesis, verification of configuration files, and analysis of software updates. Her work consistently bridges theoretical formal methods with practical applications in real-world systems. Dr. Piskac's recent publications demonstrate a strong trend toward applying formal verification techniques to emerging challenges including large language models, quantum computing security, legal accountability of automated systems, and cyber-physical systems. Her research increasingly intersects with AI, cryptography, and legal domains while maintaining strong foundations in formal methods. Her scientific achievements have been recognized with numerous prestigious awards: Multiple Amazon Research Awards Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation (SEIF) Patrick Denantes Prize for her PhD dissertation Dr. Piskac has graduated five PhD students, four of whom have gone on to become assistant professors of computer science. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and is on the Steering Committee of the Formal Methods in Computer-Aided Design conference. She leads the Rigorous Software Engineering (ROSE) group at Yale, which focuses on several key projects including: Symbolic Execution Engine for Haskell (G2) Privacy Preserving Formal Methods (PPFM) Functional Reactive Synthesis Verifications for Configuration Files Analysis of Software Updates and Configuration Files

• Computer Networks
• Wireless Communication
• Reconfigurable Intelligent Surfaces (RIS)
• +4 more

Christos Liaskos is an Assistant Professor at the Department of Computer Science and Engineering, University of Ioannina (UoI), Greece. He is also a researcher at the Foundation for Research and Technology-Hellas (FORTH). His expertise spans computer networks, wireless communication systems, and nanotechnology, with a focus on reconfigurable intelligent surfaces (RIS), metasurfaces, and their applications in 6G, IoT, and autonomous systems. He holds a PhD in Computer Networking from Aristotle University of Thessaloniki (AUTH) and has published extensively in IEEE venues. Education: Diploma in Electrical and Computer Engineering (AUTH, 2004) MSc in Medical Informatics (AUTH Medical School, 2008) PhD in Computer Networking (AUTH Informatics Department, 2014) Research Interests: Programmable wireless environments using software-defined metasurfaces RIS-assisted architectures for 5G/6G networks IoT and UAV communication systems Energy-efficient trajectory design for drones Beam steering and wavefront control in mmWave systems His recent work explores applications like RIS-based autonomous driving, optical wireless positioning, and fault-tolerant routing in metasurface networks. He contributes to open-source simulation frameworks (e.g., Cooperis) and collaborates on EU projects like VISORSURF, advancing the Internet-of-Materials concept.

• Process Control
• System Dynamics
• Process Design Optimization
• +5 more

Nikolaos A. Diangelakis is an Assistant Professor at the Technical University of Crete (TUC), affiliated with the School of Chemical Engineering (ChEnvEng) and the Division II: Process Development, Analysis and Design. His research focuses on system dynamics, process control, and integrated process design optimization. He holds a PhD from Imperial College London (2017), an M.Sc. from the same institution (2012), and a Diploma in Chemical Engineering from the National Technical University of Athens (2011). He has conducted a Visiting Ph.D. research at Texas A&M University (2017). Diangelakis specializes in multi-parametric optimization and control strategies, with applications in chemical, environmental, and energy systems. He has contributed to software tools like PAROC and POP, advancing explicit model predictive control (MPC) and robust optimization frameworks. His work integrates process design, scheduling, and control to enhance operational efficiency in industries such as pharmaceuticals and energy systems. He has secured research funding through projects like 'PAROC' (National Science Foundation) and 'U Psi Psi' (EPSRC), and has been recognized with awards including the 2017 Excellence Award for Outstanding PhD Thesis in Computer-Aided Process Engineering (CAPE). His academic contributions span over 30 peer-reviewed publications, emphasizing topics like microgrid optimization, rotary tablet press control, and energy-efficient industrial processes. Diangelakis teaches Linear Algebra at TUC and actively engages in academic conferences, delivering invited lectures and presenting innovative research on MPC strategies and process operability. His research group collaborates internationally, advancing the frontiers of model-based systems engineering.

• Distributed Systems
• IoT Protocols
• Big Data
• +4 more

Dr. Sotirios Kontogiannis is a Researcher and Director of the Distributed MicroComputer Systems Laboratory (MCSL) at the Department of Mathematics, University of Ioannina. He holds a PhD in Software Engineering from Democritus University of Thrace (2012), with a focus on load balancing algorithms for distributed systems. His career spans academic and private sector roles, including software development, research in FP7 projects, and technical leadership at TEKMON Geomatics. He currently teaches courses on Database Systems, Parallel Algorithms, and Educational Technologies at the University of Ioannina. Education: 5-year Engineering Diploma (DUTH, 2003), MSc in Microelectronics and Information Systems (DUTH, 2006), PhD in Load Balancing Algorithms (DUTH, 2012). Research Focus: Distributed systems, IoT protocols, sensor networks, big data, and smart agriculture technologies (e.g., beekeeping monitoring systems, wine fermentation frameworks). His work integrates IoT, AI, and edge computing to address challenges in agriculture, accessibility, and environmental monitoring. Notable inventions include patented smart beehive systems and tactile navigation tools for visually impaired individuals.

• 3D Printing Technologies and Algorithms
• Parametric Design and Feature-Based Design
• CAD and Reverse Engineering
• +1 more

Stamati Vasiliki serves as Laboratory Teaching Staff in the Department of Computer Engineering & Informatics at the University of Ioannina, holding the academic rank of Lecturer. He is currently teaching "MYY401 Principles of Programming Languages" for the 2024/25 academic year. His educational qualifications include: Ph.D. in Informatics, Department of Computer Engineering & Informatics, University of Ioannina (2008) M.Sc. in Informatics, Department of Computer Engineering & Informatics, University of Ioannina (2003) B.Sc. in Informatics, Department of Informatics, University of Ioannina (2001) His research focuses on advanced computational design and graphics disciplines, with emphasis on practical applications in digital manufacturing. Key areas include algorithm development for 3D printing, parametric modeling systems, computer-aided design methodologies, and reverse engineering techniques. Professional trajectory shows transition from Greek public education sectors (Secondary Education appointment in 2004, Primary Education transfer in 2013) to university academic staff via EDIP position transfer in 2017.

• Electric Motor Design
• Fault Diagnosis Techniques
• Thermal Analysis
• +4 more

Ioannis Karnavas serves as Associate Professor in the Department of Electrical and Computer Engineering at Democritus University of Thrace, specializing in Energy Systems within the Electrical Machines Laboratory. His academic career spans over two decades with progressive appointments from Visiting Professor (2002-2004) to Assistant Professor at TEI of Crete (2004-2012), culminating in his current position since January 2013. His research focuses on electric motor innovation and diagnostics, with particular emphasis on high-efficiency motor design, fault detection systems, and thermal management. Karnavas integrates computational intelligence techniques including bio-inspired algorithms and deep learning to solve complex electromechanical challenges. His work bridges theoretical research with practical industrial applications, particularly in renewable energy systems and advanced motor control. His publication portfolio demonstrates consistent contributions to high-impact journals including IEEE Transactions and IET Electric Power Applications, with recent articles revealing strong trends toward intelligent fault diagnosis systems and multi-criteria optimization of permanent magnet motors. The research shows increasing integration of machine learning techniques with traditional electromagnetic analysis. Karnavas actively leads research initiatives as Principal Investigator for projects like INTELLECTION (intelligent fault detection systems) and participates in international collaborations including Interreg programs with Cyprus. His laboratory work supports both fundamental research in motor design and applied projects addressing industrial electrification challenges.

Christos MasourosView profile

Professor

• Wireless Communications
• Signal Processing
• Green Communications
• +5 more

Christos Masouros is a Professor of Signal Processing and Wireless Communications at University College London (UCL), affiliated with the Institute for Communications and Connected Systems. He holds a Ph.D. from the University of Manchester (2009) and has held research positions at Philips Research Labs, Queen’s University Belfast, and UCL. His expertise spans wireless communications, signal processing, and integrated sensing and communications (ISAC). Key roles include coordinating the EU-funded PAINLESS (2018–2022) and ISLANDS (2024–2028) projects, which focus on energy-autonomous networks and next-generation vehicular networks, respectively. Education: Diploma in Electrical and Computer Engineering, University of Patras (2004) MSc by Research, University of Manchester (2006) PhD in Electrical and Electronic Engineering, University of Manchester (2009) Research Interests: Green Communications Large-Scale Antenna Systems ISAC (Integrated Sensing and Communications) Interference Mitigation in MIMO and Multicarrier Systems Awards: 2024 IEEE SPS Best Paper Award 2023 IEEE ComSoc Stephen O. Rice Prize Fellow of IEEE, AIIA, and AAIA Leadership Roles: Vice-Chair, IEEE Emerging Technologies Initiative on ISAC Chair, IEEE SPS ISAC Technical Working Group Editorial roles in IEEE Transactions on Wireless Communications, IEEE Open Journal of the Communications Society, and others Labs/Teams: Active in UCL’s Information and Communication Engineering Research Group, contributing to standards development via IEEE and ETSI working groups.

George TsinarakisView profile

Lecturer

• Production Systems
• Petri Nets
• Hybrid Systems
• +5 more

George Tsinarakis is a Lecturer at the School of Production Engineering and Management, Technical University of Crete. He holds a Diploma (2000), MSc (2002), and PhD (2007) from the same institution. His roles include teaching undergraduate courses (Simulation, Production Systems), co-supervising theses, and participating in research projects. He also serves as Adjunct Professor at Hellenic Open University (Engineering Project Management postgraduate program) and teaches Operations and Production Management at University of the Aegean. His research focuses on Production Systems, Petri Nets, Hybrid Systems, Renewable Energy, and Project Management. Education: Diploma in Production Engineering and Management (2000) MSc (2002) PhD (2007) Research emphasizes Petri Nets for process modeling, Hybrid Systems integration, and Renewable Energy applications. He contributes to digital twin frameworks for industrial systems and STEM education tools like HYDRA. His work spans simulation methodologies, supervisory control, and lifecycle analysis of energy systems. Teaching and advising includes undergraduate thesis co-supervision and involvement in European/Greek research projects. He evaluates EYDE-ETAK initiatives and reviews for international conferences/journals. Active in labs: Production Systems Laboratory and Computer Aided Manufacturing Laboratory.

Eleni BoumpaView profile

Researcher

• Smart Environments
• Healthcare Services
• Cyber-Physical Systems
• +3 more

Eleni Boumpa is a Researcher and Ph.D. candidate at the Department of Computer Science and Biomedical Informatics, University of Thessaly. She leads the AuDi-o-Mentia research team and is affiliated with the Intelligent Systems Laboratory. Her work focuses on assistive technologies for people with neurodegenerative diseases, smart environments, cyber-physical systems, and healthcare in consumer electronics. Education: BSc in Computer Science & Biomedical Informatics (2018), University of Thessaly Current Role: Ph.D. candidate since 2018, researching 'Ambient Assistive Systems in Smart Environments' Her research interests include developing smart systems for elderly care, gas leakage detection via TinyML, logistics optimization, and security in healthcare wearables. Her work is funded by the EPICS in IEEE program and has led to innovations like home assistive systems for dementia patients. Awards: 1st place in IEEE Mind the Gap 2017 (dementia assistive system) Finalist in Microsoft Imagine Cup 2017 3rd place at ECESCON 2017 (best business idea) Advising & Grants: As team leader of AuDi-o-Mentia, she coordinates interdisciplinary research on memory aids for neurodegenerative diseases. Her projects integrate acoustic-based systems, tinyML, and sensor networks into assistive technologies. Labs & Teams: Member of the Intelligent Systems Laboratory and founder of the AuDi-o-Mentia team, focusing on dementia care technologies.