Giannopoulou Archontia is an Associate Professor at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens. Her research focuses on theoretical informatics, particularly in graph theory, algorithm design, and parameterized complexity. She explores structural properties of graphs and their algorithmic implications, including graph minors, tree decompositions, and kernelization techniques. Her work emphasizes applications of graph searching, perfect matchings, and combinatorial optimization. Recent research trends include studies on flat wall theorems, matching minors in bipartite graphs, and directed tangle tree-decompositions. Her publications reflect contributions to both foundational theory and practical algorithm design in these areas. Giannopoulou has no listed scientific awards in the provided materials. Her advising and grant activities are not detailed here, though her extensive publication history suggests active research involvement. No lab or team affiliations are specified in the text.
Konstantinos Kantelis is an Assistant Professor at the Department of Informatics, Aristotle University of Thessaloniki, specializing in Biological Nanonetworks. He holds a PhD in Nanonetworks and has extensive professional experience as a Software Engineer/Manager at Piraeus Bank (2007-2023), preceded by system administration roles at Marfin-Egnatia Bank (2007-2014). Education: PhD in Nanonetworks (2018), Department of Informatics, Aristotle University of Thessaloniki MSc in Nanotechnology and Nanosciences (2012), Department of Physics, Aristotle University of Thessaloniki MSc in Computer Systems Technology (2006), Department of Informatics and Telecommunications, National University of Athens BSc in Mathematics (2003), Department of Mathematics, Aristotle University of Thessaloniki His research focuses on Biological Nanonetworks, Electromagnetic Nanogrids, and energy-efficient wireless communication protocols for IoT systems. He has contributed to projects like Maestro, IntelTriage, and AYGEIAS, developing protocols for LoRaWAN networks and WDM backbone resilience. Recent publications address spatial scheduling in LoRaWAN, earthquake-tolerant routing, and reinforcement learning-assisted protocols. His work bridges nanoscale communication theory with practical IoT implementations, emphasizing energy efficiency and reliability. As an educator, he teaches graduate courses in Communication Networks, Advanced Topics in Biological Nanonetworks, and Applied Mathematics, alongside postgraduate courses in Networks and Internet (2019-2021).
John Paparrizos is an Assistant Professor of Computer Science and Engineering at The Ohio State University's College of Engineering, where he directs The DATUM Lab (Data Analytics, Understanding, Mining, and Management Lab). He maintains an adjunct affiliation with the School of Informatics at Aristotle University of Thessaloniki. His research spans databases, data science, machine learning, and artificial intelligence , with focus areas including: Time-series analysis (clustering, anomaly detection) Scalable data mining for structured/unstructured data Adaptive algorithms for resource-constrained environments Foundational technologies for data-intensive applications His work addresses real-world challenges across relational, time-series, multimedia, text, graph, web, and IoT data domains. Notable recognition includes: 2025 ACM SIGMOD Test-of-Time Award for k-Shape time-series clustering 2023 IEEE TCDE Rising Star Award ACM SIGMOD Research Highlight Award NetApp Faculty Award His research has been featured in New York Times (front page), Washington Post , Forbes , and adopted by Fortune 500 companies (Exelon, Nokia) and the European Space Agency. He actively serves on program committees for premier conferences including ACM SIGMOD, VLDB, IEEE ICDE, ACM SIGKDD, and NeurIPS. His open-source tools have exceeded 100,000 downloads and are integrated into academic curricula at Brown, Columbia, Purdue, and University of Chicago.
Ioannis Andreadis is a Professor in the Department of Electrical and Computer Engineering at the School of Engineering, Democritus University of Thrace. He has been a faculty member since 1993, following his appointment as a Visiting Professor at the School of Technological Applications of TEI Kavala (1991-1992). His academic journey began with a Diploma in Electrical Engineering from Democritus University of Thrace (1983), followed by an M.Sc. in Electrical Engineering & Electronics (1985) and a Ph.D. in Instrumentation & Analytical Science (1989), both from the University of Manchester. Professor Andreadis's research spans the Design and Implementation of Electronic Systems with particular emphasis on Intelligent Systems and Machine Vision . His work has resulted in over 230 publications in international journals, book chapters, and conference proceedings. He has made significant contributions to image processing, particularly in mathematical morphology, color image processing, and real-time implementation of image processing algorithms. His research has practical applications in seismic signal processing, crowd management systems, and 3D reconstruction technologies. The analysis of his recent publications reveals a strong focus on advanced image processing techniques, with increasing integration of deep learning approaches. His work spans both theoretical foundations (such as entropy estimation and moment calculations) and practical applications (including image stabilization, multi-focus image fusion, and crowd management systems). The interdisciplinary nature of his research connects electrical engineering, computer vision, and signal processing with applications in safety engineering, structural analysis, and robotics. Among his notable achievements are the IET Image Processing Premium Award (2009) , Best Paper Award at PSVIT 2007 , and Best Paper Award at EUREKA 2009 . He was elected Fellow of the Institute of Engineering & Technology (IET) in 2006 and Fellow of the Institute of Measurement & Control (InstMC) in 2021. He has also served as Subject Editor of the IET Electronics Letters and as Guest Editor for special issues of Pattern Recognition journal. Professor Andreadis has supervised 14 PhD theses , 21 Master's theses , and 88 Diploma works , demonstrating his commitment to academic mentoring. His research has been supported by significant grants including the EDUnet project (€280,000), wireless network implementation (€37,000), laboratory infrastructure development (€120,000), school information systems support (€478,000), the RESCUER project (€350,000 as Deputy P.I.), and the EDUSAFE project (Marie Curie Actions). He leads the Electronics Laboratory at Democritus University of Thrace, which has undergone significant infrastructure development through multiple funding sources. His work on the RESCUER project demonstrates collaboration with European partners on emergency risk management systems, while his EDUSAFE involvement shows commitment to advanced AR/VR safety systems development. His research group applies computational intelligence techniques to diverse challenges from seismic analysis to pedestrian evacuation modeling.
Alex Psomas is an Assistant Professor in the Department of Computer Science at Purdue University, directing research at the intersection of computer science and economics. His work develops algorithmic solutions for fair resource allocation, with applications to food rescue networks and social welfare systems. Funded by NSF and Google, his lab collaborates with non-profits including 412 Food Rescue. Research combines theoretical computer science with practical implementations, particularly in dynamic fair division and mechanism design. Current projects develop AI systems for equitable food distribution through the Indy Hunger Network partnership. Recent publications advance multi-agent resource allocation with work appearing in NeurIPS, EC, and ACM Transactions. The 2024 EAAMO paper received Best Student Paper honors for its impact on food insecurity interventions. Major Recognition: NSF CAREER Award for algorithmic fairness research Google AI for Social Good Award MEGA-ACE grant for blockchain applications The Purdue AI for Social Good Lab develops open-source tools deployed in food banks nationally. PhD students investigate approximation algorithms for combinatorial optimization problems.
Georgia Dede is an Assistant Professor at the Department of Informatics and Telematics, School of Digital Technology, Harokopio University of Athens. Her expertise lies in evaluating systems and electronic services, with a focus on cybersecurity, telecommunications, and operations research. She holds a PhD from National and Kapodistrian University of Athens (2015), a Master’s in Management and Economics of Telecommunications Networks (2007), and an undergraduate degree in Informatics and Telematics (2005). Education: PhD: Decision Making Methods and Uncertainty Study (2015), National and Kapodistrian University of Athens Master’s: Management and Economics of Telecommunications Networks (2007), National and Kapodistrian University of Athens Bachelor’s: Informatics and Telematics (2005), National and Kapodistrian University of Athens Research Interests: Georgia’s research spans cybersecurity frameworks, pairwise comparison methodologies for decision-making, and economic modeling of telecommunications infrastructure. She explores topics like resilient IoT systems, AI applications in governance, and competitive dynamics in energy and telecom markets. Her work integrates technical and socio-economic perspectives to address challenges in network security, service evaluation, and policy design. Grants and Projects: Leading and participating in EU-funded programs under Horizon Europe and Digital Europe initiatives Prior roles as senior advisor/administrator at Netcompany Intrasoft and ENISA Labs/Teams: Her involvement in projects at Harokopio University and collaborations with institutions like the University of Patras emphasize applied research in digital technology and policy innovation.
Dimitrios Tsoumakos serves as an Associate Professor of Big Data Management Systems at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) where he also directs DBLab, the Knowledge and Database Systems Laboratory. His academic career spans over two decades with significant contributions to large-scale data management and distributed systems. Diploma in Electrical and Computer Engineering from NTUA (1999) M.Sc. in Computer Sciences from University of Maryland (2002) Ph.D. in Computer Sciences from University of Maryland (2006) Professor Tsoumakos' research focuses on the intersection of big data management, cloud computing, and distributed systems. His work addresses fundamental challenges in large-scale data processing, including wavelet synopses for data summarization, vector embedding frameworks for analytics operators, multi-engine analytics systems, and cloud application deployment with failure recovery mechanisms. His research consistently bridges theoretical algorithms with practical implementations for real-world data challenges. His publication record demonstrates consistent innovation from early work on P2P data management systems through to current research on vector embeddings and deep reinforcement learning for cloud autoscaling. Recent work shows a clear progression toward content-based analytics, multi-dataset integration, and intelligent resource management in heterogeneous environments. Best Paper Runner Up Award at SSDBM 2019 Best Paper Award at CCGrid 2013 Professor Tsoumakos has secured substantial research funding through multiple European projects including RELAX (2023-2027), HiDALGO2 (2023-2026), DAPHNE (2021-2024), and previous initiatives like HiDALGO, TraMOOC, ASAP, CELAR, ARCOMEM, and GREDIA. These projects reflect his leadership in big data analytics, cloud computing, and distributed systems research. As director of DBLab, Professor Tsoumakos oversees research on the Knowledge and Database Systems Laboratory, which has produced significant work on analytics operators, multi-engine resource scheduling (IReS platform), cloud elasticity (TIRAMOLA), and RDF data management (H2RDF+). The lab maintains strong industry connections and has developed multiple open-source tools for big data analytics.
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
Zhenjiang Hu is a Chair Professor and Dean of the School of Computer Science at Peking University. He serves as Director of the Programming Languages Laboratory and has held significant academic positions including Professor at the National Institute of Informatics and University of Tokyo. BS and MS from Shanghai Jiaotong University (1988, 1991) PhD from University of Tokyo (1996) Lecturer/Assistant Professor at University of Tokyo (1997) Associate Professor at University of Tokyo (2000) Full Professor at National Institute of Informatics (2008) Full Professor at University of Tokyo (2018-2019) Professor Hu's research primarily focuses on programming languages and software engineering, with special emphasis on functional programming, bidirectional transformation, and software adaptation. His work explores transformational programming approaches for automatic program optimization, systematic parallelization of sequential programs, efficient manipulation of structured documents, and bidirectional model transformation for software development. His research has significantly advanced the field of bidirectional programming, developing foundational theories and practical applications that enable more reliable and maintainable software systems. His recent publications demonstrate a strong trajectory in bidirectional programming, program synthesis, and graph processing. The research shows increasing sophistication in handling program transformations, with growing emphasis on practical applications in software engineering contexts. His work increasingly integrates formal methods with practical programming language design, creating systems that maintain theoretical soundness while addressing real-world software development challenges. The research spans multiple venues including top conferences like PLDI, POPL, ICFP, and OOPSLA, reflecting its broad impact across programming language research. Fellow of JFES (Japan Federation of Engineering Society, 2016) ACM Distinguished Scientist (2016) Member of Academia Europaea (2019) IEEE Fellow (2020) Member of Engineering Academy of Japan (2020) Professor Hu actively mentors students and has welcomed excellent candidates to join his group through Peking University's International Elite PhD Program and Boya Postdoctoral Fellowship Program. He serves on numerous program committees for major conferences including PLDI, POPL, ICFP, and OOPSLA, and holds editorial positions for prestigious journals such as Journal of Functional Programming and Science of Computer Programming. His leadership extends to conference organization, having served as PC Chair for CNCC 2024 and General Co-Chair for SoICT 2019. As Director of the Programming Languages Laboratory at Peking University, Professor Hu leads a research team focused on advancing programming language theory and practice. His lab has developed influential frameworks like BiGUL for bidirectional programming and Fregel for graph processing. The laboratory maintains strong international collaborations and contributes to both theoretical foundations and practical implementations in programming languages and software engineering.
Nikolaos Samaras is a Full Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia in Thessaloniki, Greece. He has been serving as director of the Computational Methodologies & Operations Research (CMOR) Laboratory since April 2016. His academic career includes positions as Assistant Professor (2007-2012) and Lecturer (2003-2007) at the same institution, and earlier as an adjacent Lecturer at the Technological Institute of Western Macedonia (1998-2000). Dr. Samaras earned his Diploma in Applied Informatics from the University of Macedonia in 1996 and his Ph.D. in Applied Informatics from the same university in 2001. His educational background forms the foundation for his extensive research in computational optimization and operations research. Professor Samaras's research focuses on the interface between computer science and operations research, with particular expertise in linear and nonlinear optimization, network optimization, integer optimization, and scientific computing including HPC and GPU programming. His work has resulted in the development of new algorithmic families for optimization problems, efficient GPU implementations of the revised simplex algorithm, and novel algorithms and software for operations research. His research spans theoretical algorithm development, practical implementation, and real-world applications across various engineering and scientific domains. His extensive publication record includes over 35 journal papers in prestigious venues such as Computers and Operations Research, European Journal of Operational Research, and Journal of Artificial Intelligence Research, more than 85 conference papers, and four textbooks (two in English and two in Greek). His work has been recognized through citations and the Thomson ISI/ASIS&T Citation Analysis Research Grant in 2005. ACM Senior Member (2016) Thomson ISI/ASIS&T Citation Analysis Research Grant (2005) Editorial board member of Operations Research: An International Journal Reviewer for numerous top journals including Mathematical Programming Computation and European Journal of Operational Research Professor Samaras has supervised four current Ph.D. students working on hybrid simplex algorithms, large-scale optimization using Apache Hadoop, algorithmic procedures in matrix theory, and smoothed complexity analysis. He has successfully guided five Ph.D. students to completion, including Nikolaos Ploskas who won the 2014 HELORS Doctoral Dissertation Award. Additionally, he has supervised 45 master's theses and 84 bachelor's theses. His research group has secured funding from diverse sources including the European Union, Greek Secretariat of Research and Technology, and industry partners like Veltio Greece LTD. The Computational Methodologies & Operations Research (CMOR) Laboratory, which he directs, focuses on developing and implementing optimization algorithms with applications in transportation, energy systems, and business process design. The lab has produced notable software tools including Euclides and Visual LinProg, which have educational applications in linear programming.
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.
Dr. Andrew N. Liaropoulos is an Associate Professor at the University of Piraeus, Department of International and European Studies, specializing in international security, cybersecurity, and strategic studies. He holds a Master's from Aberystwyth University and a Doctorate from Swansea University. His research focuses on intelligence reform, hybrid threats, European security, and cyber warfare. He has served as Director of the Laboratory of Intelligence and Cybersecurity (2015-2021) and currently sits on the Scientific Board of the Observatory on Hybrid Threats under Greece's Ministry of Digital Governance. He has held visiting scholar positions at the Center for European and North Atlantic Affairs (Slovakia) and National Chengchi University (Taiwan). His editorial roles include membership on the boards of the Journal of Information Warfare and Journal of European and American Intelligence Studies . Key interests include the intersection of technology and conflict, digital sovereignty, and strategic narratives in information warfare. His work spans geopolitical analyses of cyber threats, European defense strategy, and the evolving digital landscape's impact on global security. Recent contributions address AI in warfare, social media's role in conflict, and EU digital autonomy. His research bridges theoretical frameworks with practical policy implications, emphasizing human-centric cybersecurity approaches and institutional reform.
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.
Konstantinos Tsagarakis is a Professor of 'Economics of Environmental Science and Technology' at the Department of Production Engineering and Management, Technical University of Crete. His work focuses on circular economy, sustainability, and environmental economics. He serves as Specialty Chief Editor in Frontiers in Sustainability , and holds editorial roles in Water Policy , Healthcare Analytics Journals , and others. Education: PhD in Public Health (University of Leeds, 1999), BS in Economics (University of Crete, 2002), Diploma in Civil Engineering (Democritus University of Thrace, 1995). Research interests include circular economy implementation, sustainable development, energy economics, and big data applications. He has published over 100 papers in refereed journals. Recent work explores LinkedIn data for analyzing sustainability trends, policy compliance, and industry practices. Key contributions include frameworks for evaluating corporate sustainability performance, environmental policy analysis, and integrating technology (e.g., AI, cloud computing) into sustainability strategies. He has edited special issues on circular economy, renewable energy, and smart manufacturing in journals like Renewable Energy and Big Data and Cognitive Computing . No specific grants or awards are listed, though his editorial roles and prolific publication record highlight significant academic influence. Labs/Teams: Active in the Department of Production Engineering and Management’s sustainability research groups, focusing on interdisciplinary projects linking economics, technology, and environmental policy.
Anna Pappa is an Emmy Noether Group Leader at the Electrical Engineering and Computer Science Department of Technical University Berlin, leading the Quantum Communication and Cryptography group funded by DFG since 2020. Previously, she held Marie Sklodowska-Curie Fellowships at the Dahlem Center for Complex Quantum Systems (Freie Universität Berlin) and University College London (UCL). Her research focuses on quantum protocols with provable security in realistic environments, quantum communication, cryptography, and secure multi-party computation. She has a PhD from Télécom Paristech and Paris Diderot, and earlier degrees from the National Technical University of Athens (NTUA). Key achievements include experimental plug-and-play quantum coin flipping, quantum network routing algorithms, and entanglement verification techniques resistant to dishonest participants. She has received notable awards such as the Emmy Noether Fellowship (DFG) and Google Anita Borg Memorial Scholarship. Pappa’s work bridges theoretical quantum computing with practical implementations, emphasizing security in quantum systems. Her academic career includes postdoctoral roles at the University of Edinburgh and UCL, alongside software engineering experience at Nokia-Siemens Networks. She has organized seminars on cryptography and quantum computing, and her teaching spans programming languages and cryptography courses at NTUA. Pappa actively participates in conferences like QPL, QCRYPT, and AQIS, contributing to both theoretical advancements and experimental validations in quantum information science.
