Vassalos Paraskevas is an Assistant Professor at the Department of Informatics , Athens University of Economics and Business . He holds a Degree in Mathematics from the University of Athens (1998), a Postgraduate Diploma in Computational Mathematics and Informatics , and a Doctorate in Computational Mathematics from the University of Ioannina (2003). His office is located at the Antoniadou Wing, 5th floor, and he can be reached at pvassal@aueb.gr or +30 210 8203 187. Education BSc in Mathematics, University of Athens MSc in Computational Mathematics and Informatics, University of Ioannina PhD in Computational Mathematics, University of Ioannina (2003) His research focuses on Numerical Linear Algebra , particularly on solving linear systems with structured matrices (e.g., Toeplitz and block Toeplitz systems), signal/image reconstruction , and numerical solutions of differential equations . He has developed preconditioning techniques for iterative solvers and studied stochastic matrices with Toeplitz-like structures. His publications (2002-2008) analyze preconditioning strategies for Toeplitz systems, covering spectral analysis of matrices from PDE discretization, superlinear convergence in PCG methods, and approximation techniques for multilevel Toeplitz matrices. These works span Numerical Analysis , Applied Mathematics , and Computational Science , with applications in linear systems , differential equations , and matrix theory .
Charis Papadopoulos is a Professor at the Department of Mathematics, University of Ioannina, Greece. He holds a PhD in Computer Science (2005) and MSc (2001) from the University of Ioannina, and conducted postdoctoral research at the University of Bergen, Norway (2005-2007). His academic activities include visiting researcher positions at the University of Ioannina (2008-2010) before joining the faculty in 2011. Education: MSc and PhD in Computer Science, University of Ioannina Postdoc: Algorithms Research Group, University of Bergen (2005-2007) His research interests focus on Theoretical Computer Science, particularly: Design and analysis of algorithms Algorithmic graph theory Graph modification problems Width parameters and graph layouts Combinatorial enumeration Algorithm engineering Recent publications address structural parameterization of cluster deletion, subset feedback vertex set problems, avoidable vertex/path enumeration, and connectivity-preserving subgraphs. His work spans both journal publications (e.g., Algorithmica , Theory of Computing Systems ) and conference proceedings (e.g., WALCOM , SODA ). He has served on program committees for major conferences including: CIAC 2025 EuroCG 2025 WADS 2023 WALCOM 2023 Current projects include FANTA (Efficient Algorithms for Network Analysis) funded by H.F.R.I. and Separators and Cut Problems under HFRI grants. He has supervised PhD and Master's dissertations and collaborated with European research institutions.
**Nikolaos Bekiaris-Liberis** is a Professor in the Department of Electrical and Computer Engineering at the Technical University of Crete. His research focuses on control theory, nonlinear systems, and partial differential equations (PDEs), with applications to traffic flow, epidemics modeling, cardiovascular systems, and microfluidics. He leads a research team funded by grants such as the ERC Consolidator Grant (C-NORA) and HFRI Research Projects (ORAMA). Education and Affiliations: While specific educational details are not provided, his extensive work in PDE-based control systems indicates a strong background in applied mathematics and engineering. He collaborates with institutions like CNRS LS2N (France) and the Hellenic Electricity Distribution Network Operator SA. Research Interests: His work addresses stabilization of nonlinear systems with delays, quantization effects, and PDE dynamics. Key areas include: Predictor-Feedback Stabilization for systems with input/state delays Control of hyperbolic PDEs and large-scale systems Epidemics transport dynamics and traffic flow modeling Microfluidics and cardiovascular flow analysis Advising and Grants: He supervises 4 current PhD students (e.g., Lefteris Dimitriou on epidemics transport) and has mentored 10+ alumni. His grants include ERC (C-NORA) and HFRI (ORAMA), supporting research into epidemics control, connected vehicles, and cardiovascular modeling. Labs/Teams: His research team focuses on PDE-based control and interdisciplinary applications, collaborating across engineering, mathematics, and public health domains.
Roles and Affiliation: Nikolaos Bekiaris-Liberis is an Associate Professor in the Department of Electrical & Computer Engineering at the Technical University of Crete (TUC). He holds a PhD in Aerospace Engineering from the University of California, San Diego (2013) and has held positions including Marie Skłodowska-Curie Fellow, Assistant Professor, and Adjunct Professor at TUC. Education: PhD in Aerospace Engineering, UC San Diego (2013) MS in Aerospace Engineering, UC San Diego (2010) Bachelor of Science in Electrical and Computer Engineering, National Technical University of Athens (2007) Research Interests: His work focuses on theoretical and applied control systems, including distributed parameter systems, delay systems, nonlinear control, and switched systems. Applications span traffic flow control, automated vehicles, biological transport systems, and automotive catalysts. He emphasizes translating PDE-based models into practical control solutions for real-world systems. Notable Achievements: Recipient of the European Research Council (ERC) 2022 Consolidator Grant for the C-NORA project. 2019 IEEE ITS Outstanding Research Paper Award for contributions to traffic control. Marie Skłodowska-Curie Individual Fellowship (2017) and Chancellor's Dissertation Medal (2014). Advising & Grants: Supervises PhD and Master’s students in control systems and traffic dynamics. Leads the ERC-funded C-NORA project and previously directed the PADECOT (Marie Curie) initiative. His team includes postdocs and undergraduate researchers focusing on traffic flow modeling, epidemics transport, and PDE-based control. Professional Contributions: Editor for IEEE Transactions on Intelligent Transportation Systems and Automatica. Organized workshops on traffic flow control and PDE techniques at major conferences like CDC and ECC. Active in industry partnerships, including collaborations with Ford Motor Company on catalytic converter control.
Nikolaos Bekiaris-Liberis is an Associate Professor in the Department of Electrical & Computer Engineering at the Technical University of Crete (TUC). He holds a Ph.D. from the University of California, San Diego (2013), an M.S. from the same institution (2010), and a Diploma from the National Technical University of Athens (2007). His research focuses on nonlinear control, distributed parameter systems, delay systems, and their applications in traffic flow, automated vehicles, and biomedical systems. Education: Ph.D., University of California, San Diego (2013) M.S., University of California, San Diego (2010) Diploma, National Technical University of Athens (2007) Research Interests: Nonlinear control theory and applications Control of systems with distributed parameters and delays Traffic flow modeling and automated vehicle systems Biological transport systems and cardiovascular flow Dr. Bekiaris-Liberis has authored over 100 papers and serves as an Associate Editor for Automatica and IEEE Transactions on Intelligent Transportation Systems . His work has been recognized with awards such as the Chancellor’s Dissertation Medal (2014), a Marie Sklodowska-Curie Fellowship (2016), and an ERC Consolidator Grant (2022). His research highlights include advancements in predictor feedback for systems with input delays, stabilization of hyperbolic PDEs, and control strategies for traffic flow and connected vehicles. Recent work explores the impact of ventilation on epidemic transport dynamics and the stability of cardiovascular systems under stenosis conditions. Awards: Chancellor’s Dissertation Medal in Engineering (2014) Marie Sklodowska-Curie Individual Fellowship (2016) ERC Consolidator Grant (2022) Grants and Funding: ERC Consolidator Grant for large-scale PDE control research Marie Sklodowska-Curie Fellowship (2016–2019) He leads the Automation Laboratory at TUC and teaches courses on Linear Systems, Control Systems, and Nonlinear Systems. His work bridges theoretical control advancements with practical applications in transportation, biomedical systems, and industrial processes.
Christos Nomikos is an Associate Professor at the Department of Computer Science and Engineering, University of Ioannina. He holds a PhD from the National Technical University of Athens (NTUA) and has been a faculty member since 2003. His roles include teaching and research supervision in computer science disciplines. Education: Diploma in Electrical Engineering, NTUA, 1992 PhD in Computer Science, NTUA, 1997 Research Interests: Christos Nomikos focuses on theoretical computer science and logic, including algorithm design and analysis, computational complexity, formal languages, logic programming, and graph theory. His work explores foundational aspects of programming languages and their semantics, as well as applications in knowledge representation and automated reasoning. Teaching: In the 2024-25 academic year, he teaches Discrete Mathematics II , Principles of Programming Languages , Computational Complexity , and Approximation Algorithms . He emphasizes structured learning approaches and maintains a dedicated ecourse page for students. Advising & Grants: He supervises undergraduate thesis projects in computer science, with a focus on theoretical topics like Turing machine transformations and Boolean grammar algorithms. No explicit grant information is provided in the texts. His advising process involves rigorous academic evaluation and prefers candidates with strong performance in core computer science courses. Labs/Teams: While no specific lab or team affiliations are mentioned, his research collaborations include work with international conferences and journals, indicating active participation in academic networks.
Stavros Kolliopoulos is a Professor in the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens. He has held this position since 2016, following progression from Assistant Professor (2004-2010) to Associate Professor (2010-2016) within the same department. His educational background includes: Diploma in Computer Engineering and Informatics from University of Patras (1993) MS in Computer Science from Dartmouth College (1995) PhD in Computer Science from Dartmouth College (1998) Professor Kolliopoulos specializes in algorithm design and analysis and combinatorial optimization , with teaching expertise spanning Graph Theory, Computer Science Mathematics, Approximation Algorithms, and Linear Programming Theory. His research bridges theoretical computer science with practical optimization problems. Prior academic appointments include: 1999-2004: Assistant Professor, Department of Computing and Software, McMaster University, Canada 1998-1999: Postdoctoral Researcher, NEC Research Institute, Princeton, USA Spring 2012 & 2013: Visiting Associate Professor, IEOR Department, Columbia University, New York He has served on program committees for major conferences including APPROX 05, ACM-SIAM SODA 06, CAAN 06, ISCO 12, ICALP 13, and COCOON 16. Contact information: Office: B6, Informatics building Phone: +30 210 7275108 Email: sgk@di.uoa.gr
Nikolaos Rekatsinas is a Lecturer at the University of Crete's B.Sc. Mathematics program and serves as Principal Investigator of the 'Adaptive methods for solving PDEs (Adaptsol)' project at the Institute of Applied & Computational Mathematics (IACM), Foundation for Research and Technology (FORTH). His research focuses on numerical methods for partial differential equations (PDEs), adaptive approximation, and multiscale methods. Education: Ph.D. in Mathematics from the University of Amsterdam (2018), M.Sc. in Applied Mathematical Sciences from Heriot-Watt University (2013), and B.Sc. in Mathematics from the University of the Aegean (2012). Research Projects: His work includes developing optimal adaptive wavelet methods and certification techniques for physics-informed neural networks (PINNs). He collaborates with institutions like Ulm University and Uppsala University on PDE solution certification and transport-based optimal control. Teaching: Current courses include 'Numerical Linear Algebra' at the University of Crete. Past teaching spans numerical methods for ODEs/PDEs, discrete mathematics, and numerical algorithms at the University of Patras and University of Amsterdam. Funding: Supported by the Hellenic Foundation for Research Innovation (HFRI) under the '2nd Call for H.F.R.I. Research Projects to Support Post-Doctoral Researchers' (Project No. 01247).
Χατζηκωνσταντινίδης Ευστάθιος is a Professor at the University of Piraeus in the Department of Statistics and Actuarial Science. His academic career spans decades with significant contributions to actuarial mathematics and statistical theory. He teaches undergraduate courses in Actuarial Mathematics, Risk Theory, and Reliability Theory, and postgraduate courses in Generalized Linear Models and Risk Management. Education: PhD in Mathematics (1990) - Aristotle University of Thessaloniki (Grade: Excellent) BSc in Mathematics (1985) - Aristotle University of Thessaloniki (Grade: Excellent) Research Focus: His work centers on risk theory, bankruptcy modeling, compound Poisson processes, and optimal experimental designs. He has developed innovative approaches to: Perturbed risk models with diffusion processes Copula-based dependence modeling in insurance Gerber-Shiu function analysis for dividend strategies Recursive methods for compound distributions His research bridges theoretical mathematics with practical actuarial applications. Publication Trends: Analytical studies of stochastic processes dominate his recent work, focusing on: Ruin probabilities and deficit distributions Dependence modeling using copulas Optimal dividend strategies Computational methods for risk models Earlier publications emphasize experimental design optimization and reliability theory. Administrative Leadership: Chair of Department of Statistics and Actuarial Science (2007-2009) Director of Postgraduate Program in Actuarial Science & Risk Management Member of Senate of University of Piraeus Deputy Chair of Ministry of Finance's Actuarial Examination Committee Research Projects: Has participated in multiple funded projects including: 'Optimal Experimental Designs' (Greek Ministry of Education) 'Modern Model for Actuarial Studies Preparation' (University of Piraeus) EPEAEK programs on statistical applications
Michael Plexousakis is an Assistant Professor in the Department of Mathematics & Applied Mathematics at the University of Crete. He received his PhD from the University of Tennessee, Knoxville and joined the University of Crete in 2010. He maintains research affiliations with the Institute of Applied and Computational Mathematics at the Foundation for Research and Technology, Hellas (FO.R.T.H.) and the Archimedes Center for Modeling, Analysis and Computations (ACMAC). His research focuses on: Numerical solution of partial differential equations with finite element and finite volume methods A posteriori error estimation and adaptivity Singular solutions of evolution equations Scientific computing and visualization Dr. Plexousakis has secured significant research funding including the SYNERGASIA program (2011-2013) studying extreme weather phenomena, the THALIS program (2012-2014) on optimal management of economic and environmental systems, and research on seismic protection of existing buildings. His teaching portfolio spans computational mathematics with courses including: Computer Programming II Design and Analysis of Algorithms Numerical Algorithms Numerical Analysis Numerical Solution of PDEs Mathematical Biology He has co-authored two textbooks: "Numerical Analysis" (2023) for postgraduate studies and "Numerical Solution of Partial Differential Equations" (2015) for undergraduate students, both published through Kallipos, Open Academic Editions. Dr. Plexousakis's publication record demonstrates expertise across multiple domains of computational mathematics, with particular emphasis on numerical methods for Helmholtz equations, Schrödinger equations, and parabolic equations. His work bridges theoretical numerical analysis with practical applications in atmospheric science, quantum mechanics, and materials science, showing consistent contributions to high-impact journals in applied mathematics.
Christos Kaklamanis is a Full Professor and Chair of the Department of Computer Engineering and Informatics at the University of Patras, Greece, with significant leadership roles including President of Computer Technology Institute & Press "Diophantus" (CTI) from 2016-2021. His academic career includes serving as Vice-Chair of the Department (2009-2011 and 2003-2005) and Director of the Division of Applications and Foundations of Computer Science (1997-2003). Dr. Kaklamanis earned his S.B. in Computer Science and Engineering from MIT (1986), followed by S.M. (1989) and Ph.D. (1992) from Harvard University. He completed postdoctoral work at DIMACS (Center for Discrete Mathematics and Theoretical Computer Science) and worked as a research consultant for NEC Research Institute, Princeton. His research spans theoretical and applied computer science with expertise in algorithm design, computational complexity, communication networks, parallel and distributed computing, and algorithmic game theory. He has made significant contributions to network algorithms, particularly in optical networks and wireless communication, with recent expansion into computational social choice and educational technology applications. His work bridges theoretical foundations with practical implementations, especially in developing educational tools that make complex algorithms accessible. Analysis of his publication history reveals an evolution from foundational algorithm research toward practical applications of theoretical concepts, particularly in educational technology and community-oriented computing solutions. His recent work focuses on creating web and mobile applications that address real-world challenges in campus management, cultural tourism, and community engagement while maintaining strong theoretical underpinnings. Elected member of EATCS council (2009-2021) Active in ACM, IEEE, SIAM, and Technical Chamber of Greece Program Committee Chair for WAOA (Workshop on Approximation and Online Algorithms) Conference co-chair for ICALP (International Colloquium on Automata, Languages and Programming) As an educator, Dr. Kaklamanis has taught core courses including Theory of Computation, Parallel Algorithms, Communication Algorithms, and Cryptography. He has led major research initiatives including EU-FET projects CRESCCO and AEOLUS (as coordinator), EU-ICT Project EULER, and the "DIGITAL SCHOOL" project focused on national educational platforms. His leadership extends to directing research laboratories in Combinatorial Algorithms, Distributed Systems and Telematics, and Pattern Recognition. His current work continues to bridge theoretical computer science with practical applications, particularly in educational technology, with numerous recent publications focused on developing interactive learning tools and platforms that leverage algorithmic principles for educational and community benefit.
Panagiotis Papastamoulis serves as Assistant Professor at the Department of Statistics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). He joined AUEB in April 2020 after working as an Adjunct Lecturer from 2018-2019 and completing extensive postdoctoral research at prestigious institutions including the University of Manchester (2012-2018) and INRA in France (2011-2012). His educational background includes a BSc in Mathematics from the University of Patras (2003), an MSc in Applied Statistics (2006), and a PhD in Statistics (2010) from the University of Piraeus. His doctoral thesis addressed the label switching problem in Bayesian analysis of mixtures of distributions under the supervision of Professor G. Iliopoulos. Dr. Papastamoulis's research program centers on Bayesian and computational statistics, with particular expertise in finite mixture models, model-based clustering, and bioinformatics applications. His methodological contributions span theoretical developments in label switching solutions, reversible jump MCMC algorithms, and practical implementations for RNA-seq data analysis. His work demonstrates a consistent trajectory from foundational statistical theory to real-world biological applications. Analysis of his publication record reveals a strong focus on developing statistical methodology for complex data structures, with significant contributions to mixture modeling, Bayesian factor analysis, and bioinformatics. His most recent work (2023-2025) extends into cure rate modeling, directional data analysis, and multinomial mixture models for spatial data, showing continued innovation while maintaining connections to his core research themes. As an educator, he teaches undergraduate courses including Linear Models and Bayesian Inference Methods, and graduate courses such as Statistical Genetics-Bioinformatics and High Dimensional Statistics. He has also developed multiple open-source R packages that have become standard tools in the statistical community, including label.switching, BayesBinMix, and fabMix, which address fundamental challenges in mixture model analysis. Dr. Papastamoulis actively contributes to the academic community through organizing research seminars at AUEB and participating in conference committees, including the 22nd European Young Statisticians Meeting in 2021. His research integrates theoretical statistical development with practical computational implementations, creating tools that advance both methodology and application in multiple scientific domains.
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 .
Kontogiannis Spyridon serves as an Associate Professor in the Division of Applications and Foundations of Computer Science at the University of Patras, where he contributes to both teaching and research activities within the Department of Computer Engineering and Informatics. His research expertise spans theoretical computer science with particular emphasis on: Algorithmic Game Theory - analyzing strategic interactions through computational models Direct Response Algorithms and Approximation Algorithms - developing efficient computational methods Foundations of Parallel and Distributed Computing Systems - researching architectures for multi-processor and networked environments Computational Complexity - investigating the inherent difficulty of computational problems As part of the Division of Applications and Foundations of Computer Science, his work contributes to examining fundamental mathematical properties of computing systems, exploring computational boundaries, and investigating algorithm design principles across various computational models. His research aligns with the division's specialized laboratories including the Combinatorial Algorithms Laboratory and Distributed Systems and Telematics Laboratory. Professional activities include participation in academic conferences such as DOCSS and ICALP mentioned in connection with the division's research portfolio. His work supports the department's mission of bridging theoretical computer science with practical applications in evolving technological domains.
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.
