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Ioannis NikolosView profile

Professor

• Computational Fluid Dynamics
• Turbomachinery Design
• Wind Turbine Optimization
• +5 more

Ioannis Nikolos is a Professor at the School of Production Engineering and Management, Technical University of Crete, and holds a Visiting Professor position at the Institute of Plasma Physics & Lasers (IPPL), Hellenic Mediterranean University. With over 30 years of R&D experience, he has coordinated 39 projects and participated in 13 more. His research focuses on Computational Fluid Dynamics (CFD), Turbomachinery, Design Optimization, and Traffic Flow Modeling. He has authored/co-authored 60 journal papers, 110 conference papers, and three books, with an h-index of 24 (Google Scholar). Education: Diploma (1990) and PhD (1996) in Mechanical Engineering from the National Technical University of Athens (NTUA). His expertise spans fluid dynamics, engineering design optimization, and unmanned aerial vehicle aerodynamics. He is a Senior Member of AIAA and serves as an Associate Editor for ASME journals. Research Interests: Computational Engineering, Turbomachinery Component Design, Wind Turbine Optimization, Traffic Flow Modeling, and Plasma Physics applications. His work integrates computational intelligence with traditional engineering methods. Awards: Recipient of the IEEE ITS Society Outstanding Application Award (2018) for contributions to traffic management systems. He leads the Turbomachinery & Fluid Dynamics Laboratory and has supervised 7 completed PhD theses. Grants & Advising: Extensive R&D funding from EU, Industry, and Greek State. Currently supervising 3 PhD students. Editorial roles include ASME Journal of Fluids Engineering and Water. Labs & Teams: Director of the Turbomachinery & Fluid Dynamics Laboratory, collaborating on projects involving CFD, plasma physics, and autonomous systems.

Argyris KalogeratosView profile

Researcher

• Machine Learning
• Network Science
• Computational Social Systems
• +2 more

Argyris Kalogeratos is a permanent senior researcher at the Centre Giovanni Borelli , École Normale Supérieure Paris-Saclay (ENS Paris-Saclay), Université Paris-Saclay, France, and a member of the Learning and Information Processing Systems (LIPS) research group. Previously, he was a research scientist at the Centre of Applied Mathematics, ENS Cachan, France (2013–2018). Research Focus: Machine Learning on Graphs Industrial Collaborations: SNCF, CEA, Michelin, RTE, EDF Research Chair: Industrial Data Analytics and Machine Learning (IDAML) His research interests span Machine Learning , Statistics , Network Science , Decision & Control , and Computational Social Systems . He leads the ML on Graphs research theme and participates in projects like the EDF Data Challenge and Île-de-France AI for Industry Challenge . Current PhD advisees include: Alejandro de la Concha Duarte (Statistical Machine Learning on Graphs) Gaëtan Serré (Global Optimization) Gwendal Debaussart (Graph Representation Learning) Eloi Campagne (Time-Series Forecasting for Energy Sector) Gaspard Abel (Machine Learning on Social Interaction Networks) Past funding includes the MORANE project (SNCF collaboration) and the SODATECH project (French government Big Data initiative). He coordinates the LIPS seminars and contributes to academic-industry synergies through projects like AIfluence and French-German Summer-schools .

Andreas GöbelView profile

Professor

• Computational Counting
• Randomness in Computation
• Computational Complexity
• +4 more

Andreas Göbel is a Professor and Chair of Algorithm Engineering at the Hasso Plattner Institute (HPI). His research focuses on computational counting, randomness in computation, computational complexity, graph theory, and stochastic processes. He has contributed extensively to understanding diffusion processes, clique structures in networks, and algorithmic approaches to statistical physics problems. His work bridges theoretical computer science with practical algorithm design. Recent contributions include analyzing SIRS process survival times, clique dynamics in geometric random graphs, and non-linear information diffusion models. He has published widely in top-tier conferences such as IJCAI, AAAI, and SODA. Göbel teaches courses including Probability and Computing, Algorithmix, and Theoretical Foundations of Cryptography. His research group explores both foundational aspects of algorithms and real-world applications, particularly in network science and combinatorial optimization.

Vangelis MarkakisView profile

Associate Professor

• Theoretical Computer Science
• Game Theory
• Mechanism Design
• +3 more

Vangelis Markakis is an Associate Professor at the Department of Informatics, Athens University of Economics and Business (AUEB), where he has been a faculty member since 2009. He holds a PhD in Theoretical Computer Science from Georgia Institute of Technology (2005), an M.Sc. in Computer Science (Georgia Tech 2004), and a Diploma in Electrical and Computer Engineering from NTUA (2000). His academic career includes postdoctoral research at the University of Toronto and CWI (Amsterdam). Research Interests: Theoretical computer science, algorithm design, game theory, mechanism design, social networks, combinatorial optimization Awards: Recipient of the 2025 ACM SIGecom Test of Time Award for foundational work on fair allocations (2004) and the 2003 ACM EC Best Student Paper Award His work bridges algorithmic game theory, fair division, and computational economics, with notable contributions to approximation algorithms for Nash equilibria and auction mechanisms. He has supervised numerous PhD and MSc students, including prominent researchers now at institutions like University of Essex, NTU Singapore, and Yale. Scientific activities include extensive program committee memberships (ACM EC, AAAI, AAMAS, SAGT, WWW) and organizing conferences like ISCO 2012 and ACAC 2009. His teaching portfolio covers game theory, data structures, and advanced algorithms.

Valeria GiuntaView profile

Lecturer

• Mathematical Biology
• Nonlinear Partial Differential Equations
• Reaction-Diffusion Systems
• +3 more

Dr. Valeria Giunta is a Lecturer in Numerical Analysis of Partial Differential Equations (PDEs) at Swansea University's Department of Mathematics, within the School of Mathematics and Computer Science. Her research focuses on mathematical modeling of biological and ecological systems, particularly using reaction-diffusion equations incorporating chemotaxis, cross-diffusion, and non-local advection terms. She investigates mechanisms behind natural aggregation phenomena, with applications to autoimmune diseases like multiple sclerosis and ecosystem species interactions. Expertise includes Mathematical Biology, Nonlinear PDEs, Chemotaxis- Reaction-Diffusion Systems, and Pattern Formation. She combines analytical and numerical methods for bifurcation analysis and well-posedness studies. Available for postgraduate supervision, her office is located in Room 304, Third Floor of the Computational Foundry at Bay Campus. Research profiles are accessible via ORCID , ResearchGate , and Google Scholar .

Athanasios TsekourasView profile

Associate Professor

• Physical Chemistry
• Pharmacokinetics
• Surface Chemistry
• +3 more

Athanasios Tsekouras is an Associate Professor in the Department of Chemistry at the National and Kapodistrian University of Athens, specializing in Physical Chemistry. His research focuses on interfacial phenomena, material science, and pharmacokinetics, with notable contributions to understanding polarization in organic thin films, drug bioavailability, and surface reaction dynamics. His academic career includes pioneering work on cryogenic water ice properties and proton transport mechanisms. Key research areas involve experimental and computational approaches to study molecular interactions at surfaces, including fractal kinetics modeling of airborne transmission and basis set superposition errors in quantum calculations. Expertise in thin film deposition techniques and ion beam analysis Development of novel methods for evaluating drug absorption and bioequivalence Investigation of ferroelectric behaviors in unconventional materials like water ice Publications span over three decades, with recent emphasis on re-evaluating pharmacokinetic concepts and interdisciplinary applications of fractal kinetics. His work bridges chemistry, physics, and materials science, addressing both fundamental and applied research questions.

• Data Science
• Machine Learning
• Mobility Data Analysis
• +6 more

Gunopulos Dimitrios is a Professor at the National and Kapodistrian University of Athens, Department of Informatics and Telecommunications. His research focuses on data science, machine learning, mobility data analysis, and interdisciplinary applications in urban systems, finance, and high-energy physics. He has contributed to frameworks like INSIGHT for urban traffic management and REMI for heterogeneous data mining. His work spans cloud computing, explainable AI, and spatiotemporal analysis, addressing challenges in real-world systems. Education: Education details not explicitly provided in the text. Research Interests: Dimitrios explores cutting-edge topics such as mobility data science, serverless computing, deep learning for financial forecasting, and causal reasoning. His work bridges theoretical computer science with practical applications in urban infrastructure, healthcare, and sensor networks. Recent efforts include developing algorithms for sparse data handling, fault detection in traffic systems, and counterfactual explainability in AI. Awards: No scientific awards explicitly mentioned in the text. Advising & Grants: No listed advisees or grant details available. His contributions are primarily through collaborative frameworks and conference engagements. Labs/Teams: Involved in projects like INSIGHT for urban data integration and Dione for big data application profiling. Collaborates on heterogeneous data analysis and cloud resource optimization initiatives.

• Blockchain Technology
• Social Network Analysis
• Reputation Systems
• +6 more

Associate Professor Aphrodite Tsalgatidou holds a faculty position at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. Her research focuses on blockchain technology, social network analysis, and reputation systems with applications in e-commerce, distributed systems, and business process management. Her work spans over three decades, addressing challenges in interoperability of heterogeneous services, P2P systems, and mobile commerce. Notable contributions include frameworks for secure blockchain scaling (Adrestus), real-time social tracking systems (BLACE), and reputation mechanisms for e-commerce platforms. She has also explored abstracting BPMN models for complex process comprehension. Her research integrates computer science with practical applications in distributed systems, cybersecurity, and service-oriented architectures. Recent efforts emphasize scalable blockchain solutions and AI-driven big data pipelines. Despite extensive contributions, no scientific awards are explicitly mentioned in available materials. Her advising and grant activities are not detailed in the provided data, though her prolific publication history suggests active involvement in academic collaborations. No lab affiliations or teams are specified in the text.

Georgia KaraliView profile

Associate Professor

• Partial Differential Equations
• Stochastic Analysis
• Nonlinear Dynamics
• +4 more

Georgia Karali is an Associate Professor in the Department of Mathematics at the National and Kapodistrian University of Athens, Greece. She previously held positions at the University of Crete, including Professor (2019–2024), Associate Professor (2013–2019), and Assistant Professor (2011–2013). Her research focuses on partial differential equations, stochastic differential equations, and multi-scale problems, with applications in phase transitions, nonlinear dynamics, and mathematical physics. Education: Ph.D. in Mathematics, University of Athens (2002; Advisor: Prof. N.D. Alikakos) M.Sc. in Mathematics, University of Athens (1999) B.Sc. in Mathematics, University of Athens (1997) Research Interests: Georgia's work spans stochastic and deterministic partial differential equations, with a focus on free boundary problems, phase-field models, and stochastic analysis. She explores phenomena such as interface dynamics, pattern formation, and singular perturbations, often bridging theoretical analysis with applications in materials science and mathematical biology. Recent projects include modeling financial systems through stochastic Stefan problems and investigating drug absorption kinetics using pharmacokinetic models. Grants & Leadership: Principal Investigator for multiple grants from the Hellenic Foundation for Research & Innovation, Greek Secretariat for Research & Innovation, and the EU Marie-Curie programs. Organized over 20 international workshops and conferences, including the Mathematical Challenges in Multi-Phase Materials (2009) and Advances in PDEs in Physics and Materials Science (2024). Affiliated with the Institute of Applied and Computational Mathematics (IACM/FORTH) in Heraklion, Crete. Professional Contributions: Her research has been published in top journals like Archive for Rational Mechanics and Analysis and SIAM Journal on Applied Dynamical Systems . She actively promotes interdisciplinary collaboration, co-authoring studies on pharmacokinetics and leading workshops on stochastic analysis and PDE applications.

• Thermoelectric Materials
• Nanotechnology
• Heat Transfer
• +3 more

Xanthippi Zianni is a Professor in the Department of Aerospace Science and Technology at the National and Kapodistrian University of Athens. Her research focuses on advanced materials science and nanotechnology, particularly in thermoelectric metamaterials, nanowire engineering, and energy conversion. Her work integrates computational modeling (e.g., Bayesian optimization, machine learning) with experimental insights to optimize thermal and electrical properties of nanostructured systems. Her research interests include phonon engineering in modulated nanowaveguides, energy filtering mechanisms in hyper-doped nanomaterials, and the interplay between geometry and thermal conductivity in nanostructured systems. She has extensively studied silicon-based nanomaterials, exploring their potential in energy harvesting and thermal management applications. Zianni’s publications emphasize the design of metamaterials with tailored thermal and electronic properties, leveraging geometric modulation and defect engineering. Her contributions span from fundamental physics (e.g., phonon transport in quantum dots) to applied energy technologies.

• Algorithmic Game Theory
• Approximation Algorithms
• Facility Location Problems
• +2 more

Dimitris Fotakis is Professor of Computer Science at the National Technical University of Athens (NTUA) and Collaborating Senior Researcher at the Archimedes Unit/ATHENA RC. His research in theoretical computer science focuses on algorithmic game theory, approximation algorithms, and facility location problems. He leads research projects including BALSAM (Beyond Worst-Case Analysis in Approximation Algorithms) funded by HFRI. With publications in ICALP, NeurIPS, and STOC, his work develops efficient algorithms for optimization under uncertainty. Fotakis serves on program committees of major conferences including ICALP and SAGT.

Zacharopoulos AthanasiosView profile

Researcher

• Biomedical Imaging
• 3D Image Reconstruction
• Inverse Problems
• +5 more

Dr. Zacharopoulos Athanasios is a Researcher at the Foundation for Research and Technology Hellas (FORTH), where he has been a Research Associate since 2009. He holds a PhD in Computer Science from University College London (UCL), focusing on three-dimensional shape-based reconstructions in medical imaging. His research spans biomedical imaging, 3D reconstruction algorithms, inverse problems, and optical tomography. He has held positions at institutions including UCL’s Centre for Medical Image Computing, Harvard Medical School, and the University of Kuopio. Education: BSc in Mathematics (1999, Aristotle University of Thessaloniki), MSc in Vision Imaging and Virtual Environments, and a PhD from UCL’s Computer Science Department. Research interests include 3D image reconstruction, optical projection tomography, and fluorescence molecular tomography. His work addresses challenges in imaging through scattering layers and improving light propagation models for biomedical applications. Key contributions include phase-retrieved optical projection tomography and advancements in light sheet microscopy for in vivo imaging. Collaborations span academic and clinical institutions globally.

Giorgos P. TsironisView profile

Professor

• Nonlinear Physics
• Statistical Physics
• Complex Systems
• +4 more

Giorgos P. Tsironis is a Professor of Physics at the University of Crete and leads the Nonlinear and Statistical Physics Group at the Institute of Electronic Structure & Laser (IESL-FORTH). He also serves as Director of the Institute for Theoretical and Computational Physics (ITCP). His academic journey began with a Ph.D. in Theoretical Condensed Matter and Statistical Physics from the University of Rochester in 1987, followed by postdoctoral positions at UC San Diego and Fermilab. Professor Tsironis joined the University of Crete Physics Department in 1994 as an Associate Professor and was promoted to Professor in 2000. He has held significant administrative roles including chair of the Physics Department (2007-2011), deputy rector of the University of Crete (2016-17), and acting chair at Nazarbayev University (2014-15). His international experience includes visiting professorships at the University of Barcelona and Harvard University. His research spans several interconnected areas with a focus on nonlinear phenomena, statistical physics, and quantum metamaterials. Early work centered on discrete breathers and nonequilibrium statistical mechanics, while more recent research has expanded into artificial intelligence and machine learning applications across physics, engineering, biology, and medicine. His interdisciplinary approach has led to significant contributions in understanding complex systems and developing novel applications of nonlinear dynamics. Professor Tsironis has received numerous accolades including the International 'Stephanos Pnevmatikos' award (1997), the International Chingiz Aitmatov Award (2015), and recognition as an honorary member of the Physical Society of Uzbekistan (2021). His Fulbright scholarship (1981-1986) and other early career awards highlight his longstanding contributions to physics. As a mentor and researcher, Tsironis has built a strong research group focused on nonlinear dynamics and complexity. His recent work on AI applications in medical diagnostics, particularly for cardiac conditions and pandemic modeling, demonstrates his ability to bridge fundamental physics with real-world challenges. He is currently working on a book titled 'Artificial Intelligence and Complex Dynamical Systems.'

Pouloudi AthanasiaView profile

Professor

• Information Systems
• Artificial Intelligence
• Cloud Computing
• +4 more

Professor Pouloudi Athanasia is affiliated with the Department of Management Science and Technology at the School of Business Administration, Athens University of Economics and Business , where she teaches Information Systems Theories and Management . Holding a PhD in Information Systems from LSE (1998), she has contributed extensively to research in digital transformation, cloud computing, and AI ethics. BSc : Applied Informatics, AUEB (1991) MSc : Information Systems, LSE (1993) PhD : Information Systems, LSE (1998) Postgraduate Diploma : Higher Education Teaching, Brunel University (1998)

• Dependability and Security
• Software Reliability and Security
• Formal Verification
• +7 more

Panagiotis Katsaros is an Associate Professor at the Department of Informatics, Aristotle University of Thessaloniki. His research spans formal verification, model-based system design, dependability, security, and simulation-based performance analysis. He contributes to rigorous methods for embedded systems, IoT, and fault-tolerant computing. His work focuses on Formal verification and model checking Model-based design for multi-core and embedded systems Dependability and security of distributed systems Probabilistic analysis of security risks He has published extensively on these topics, with recent works addressing reactive streaming software, IoT systems, and cloud elasticity. His research often bridges theoretical rigor with practical applications in real-time and safety-critical domains. Scientific awards include BEST PAPER AWARD at 17th Panhellenic Conference on Informatics (PCI 2013) BEST PAPER AWARD at 15th Panhellenic Conference on Informatics (PCI 2011) He collaborates with international institutions and has supervised students in software verification and distributed systems. His contributions to conferences like ETAPS, DSN, and COMPSAC highlight his expertise in systems analysis and software reliability.