جست‌وجوی استاد و پژوهشگر

• Data Science
• Machine Learning
• Mobility Data Analysis
• +۶ مورد دیگر

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.

• Combinatorics
• Functional Analysis
• Ramsey Theory
• +۵ مورد دیگر

Pandelis Dodos is a Professor in the Department of Mathematics at the National and Kapodistrian University of Athens, Greece. His research focuses on combinatorics, functional analysis, and their intersections, particularly Ramsey theory, Banach space geometry, and descriptive set theory. He holds a PhD from the National Technical University of Athens (2003) and a Habilitation à Diriger des Recherches from Université Pierre et Marie Curie (2009). His work bridges analysis and combinatorics, addressing problems in nonlinear spectral gaps, forbidden intersection configurations, and high-dimensional random arrays. He leads the ANACOMB project (Hellenic Foundation for Research and Innovation), exploring combinatorial problems via analytical methods. Notable collaborations include researchers such as V. Kanellopoulos, K. Tyros, and S. Todorcevic. His contributions include monographs on Ramsey theory and Banach spaces, as well as over 50 peer-reviewed articles. Education: MSc Electrical Engineering (NTUA, 1997) PhD Mathematics (NTUA, 2003) Habilitation (UPMC Paris 6, 2009) His research projects include the ANACOMB initiative, investigating density Hales-Jewett conjectures and concentration inequalities. He advises PhD candidate Stamatis Skouras and collaborates with institutions like Texas A&M and Charles University. His work frequently intersects with theoretical computer science and probability theory. Awards: None explicitly listed, but recognized through extensive international collaboration and editorial roles in journals like Mathematische Annalen and Transactions of the AMS . Grants & Labs: ANACOMB (HFRI-FM20-02717), leading a multinational team addressing analytic combinatorics. Active in organizing workshops like COMPRAAthens 2024 .

Konstantinos Tyrosمشاهده پروفایل

دانشیار

• Ramsey Theory
• Density Combinatorics
• Banach Space Geometry
• +۲ مورد دیگر

Konstantinos Tyros is Associate Professor in Mathematics at the University of Athens, specializing in combinatorial analysis and Ramsey theory. His research connects density theorems in combinatorics with problems in Banach space geometry and probabilistic methods. Key contributions include density versions of combinatorial theorems (Carlson-Simpson, Hales-Jewett), structure theorems for stochastic processes on discrete cubes, and concentration inequalities for high-dimensional random arrays. His work on spreading models in Banach spaces reveals new structures in functional analysis. He has developed novel approaches to nonlinear spectral gaps and dual Ramsey theory for trees, while advancing the Moser-Tardos algorithmic framework. Honors include technical excellence awards from Greek academic institutions.

• Algorithmic Game Theory
• Approximation Algorithms
• Facility Location Problems
• +۲ مورد دیگر

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.

Panayiotis Frangosمشاهده پروفایل

استاد

• Radar
• Electromagnetic Theory
• Signal Processing
• +۳ مورد دیگر

Panayiotis Frangos is a Professor in the Division of Information Transmission Systems and Material Technology at the School of Electrical and Computer Engineering, National Technical University of Athens. His research focuses on electromagnetic theory, radar systems, signal processing, and wave propagation, with applications in telecommunications and remote sensing. Education highlights: Ph.D., Moore School of Electrical Engineering, University of Pennsylvania, 1986 M.Sc., Moore School of Electrical Engineering, University of Pennsylvania, 1985 Diploma in Electrical Engineering, National Technical University of Athens, 1983 Research interests span radar technology, electromagnetic scattering, signal processing algorithms, and antenna design, with recent work emphasizing: Theoretical and experimental analysis of wave propagation Advanced signal processing for remote sensing Computational solutions for electromagnetic problems Fractal-based environmental characterization techniques Recent publications demonstrate strong trends in electromagnetic wave modeling, radar-based environmental monitoring, and computational ethics for medical devices. Articles frequently integrate theoretical frameworks with experimental validation across electromagnetics, signal processing, and regulatory compliance domains. Dr. Frangos directs the Radar Systems and Remote Sensing Laboratory, conducting research on synthetic aperture radar (SAR), radio coverage modeling, and electromagnetic measurements. The lab actively contributes to international collaborations advancing radar technologies and computational methods.

• Queueing Theory
• Applied Probability
• Optimal Control of Queues and Networks
• +۳ مورد دیگر

Dimakis Antonios is a Lecturer at the Department of Economics, Athens University of Economics and Business (AUEB). He holds a B.Sc. in Computer Science (University of Crete, 1996), M.Sc. in Computer Science (University of Crete, 1999), and a Ph.D. in Electrical Engineering and Computer Sciences (University of California, Berkeley, 2006). His thesis focused on "Stability and Approximation of Queueing Networks". Research interests span Queueing Theory, Applied Probability, Optimal Control of Queues and Networks, and Internet Congestion Control Algorithms. His work bridges theoretical probability with practical network optimization challenges. Publications include studies on queue approximation in dynamic environments, stability conditions for scheduling algorithms, and traffic modeling in telecommunications. While no scientific awards are explicitly listed, his academic contributions reflect sustained engagement with high-impact research areas. No advising/grants details or lab affiliations are provided in the text.

Nikolaos L. Tsitsasمشاهده پروفایل

استاد

• Wave Scattering and Propagation
• Integral and Partial Differential Equ://www.google.com/search?q=Integral+and+Partial+Differential+Equations&tbm=isch
• Optimization Methods
• +۴ مورد دیگر

Professor Nikolaos L. Tsitsas is a faculty member at the Department of Informatics, Aristotle University of Thessaloniki, Greece. Holding a PhD in Electrical and Computer Engineering from NTUA (2006), he specializes in analytical and numerical methods for wave scattering/propagation, integral equations, and optimization. His work bridges electromagnetics, photonics, and computational mathematics. Education: PhD (NTUA), MSc (NKUA), Diploma (NTUA) Research: Electromagnetic theory, metamaterials, numerical methods Memberships: AMS, IEEE, OSA, URSI Recent publications focus on photonic metagratings, electromagnetic cloaking, and hybrid computational methods. His team investigates dielectric waveguides, graphene shielding, and spherical wave interactions using advanced numerical techniques. Teaching responsibilities include undergraduate courses in Mathematical Analysis, Applied Mathematics, and Optimization. He has supervised graduate theses on numerical modeling and electromagnetic theory.

• Machine Learning
• Artificial Intelligence
• Decision Making under Uncertainty
• +۷ مورد دیگر

Lagoudakis Michael is a Professor at the School of Electronic & Computer Engineering of the Technical University of Crete since 2005. His academic journey includes a PhD in Computer Science from Duke University (2003), a Master's from the University of Louisiana, Lafayette (1998), and a Diploma in Computer Engineering and Informatics from the University of Patras (1995). Education: PhD in Computer Science, Duke University, 2003 MSc in Computer Science, University of Louisiana, Lafayette, 1998 Diploma in Computer Engineering and Informatics, University of Patras, 1995 Research interests span Machine Learning, Reinforcement Learning, Decision Making under Uncertainty, Multi-Agent Systems, Robotics (particularly robotic team coordination), Complex Systems, and DNA Computing. His work has produced significant publications in top venues like Robotics: Science and Systems , IEEE IROS , Journal of Machine Learning Research , and NIPS . He has contributed to projects such as EURECA-PRO (2020–present), DialogRL (2016–2020), and LSPI (2000–2003). Scientific awards include the Outstanding Dissertation Award from Duke University's Department of Computer Science and the Outstanding Teaching Assistant Award received twice. He is a member of AAAI, IEEE, and ACM.

George Barmpaliasمشاهده پروفایل

استاد

• Mathematical Logic
• Computability Theory
• Algorithmic Randomness
• +۳ مورد دیگر

George Barmpalias is a Professor at the Chinese Academy of Sciences (Institute of Software) , with a research focus on Mathematical Logic , Computability Theory , Algorithmic Randomness , and Kolmogorov Complexity . His work also extends to Network Science and Social Dynamics through Schelling segregation models. Ph.D. in Mathematics, University of Leeds (2004) Mathematics Degree, University of Thessaloniki (2000) Research Interests include: Algorithmic Randomness (Ω numbers, K-triviality, Martin-Löf randomness) Computability Theory (Turing degrees, reducibilities, effective closed sets) Network Dynamics (Schelling models, segregation tipping points, idemetric properties) Information Theory (Kolmogorov complexity, data compression, oracle use bounds) Scientific Awards : Distinguished Research Professor (CAS, 2022) National Natural Science grants (2015-2020) International Young Scientist Award (CAS, 2012) EPSRC Research Fellowship (2004) Teaching spans graduate courses in: Theory of Computation Network Science Mathematical Logic Computability and Randomness Supervision includes Ph.D./MSc students like Fang Nan, Cheng Shichao, and Charlotte Vlek. His software projects include high-performance C++ simulations for Schelling models and open-source tools for algorithmic experiments.

Theodoros Theodoulidisمشاهده پروفایل

استاد

• Electromagnetic Fields
• Nondestructive Testing
• Power Systems Engineering
• +۳ مورد دیگر

Professor Theodoros Theodoulidis serves as Rector of the University of Western Macedonia and holds a Professorship in the Department of Mechanical Engineering at the Polytechnic School. He earned his PhD (1997) and Diploma (1992) in Electrical Engineering from Aristotle University of Thessaloniki (AUTH). His professional career includes roles as Professor at the University of Western Macedonia since 2013 and previous positions at Technical Education Institute of Western Macedonia (TEIWM). Research Interests: Focus on electromagnetic fields in power systems and nondestructive testing , with emphasis on eddy current techniques for material characterization, defect detection, and sensor design. His work integrates computational methods such as finite-element modeling, boundary-element analysis, and semi-analytical solutions. Publications: Recent work emphasizes high-frequency eddy current testing, superconducting magnet design, and uncertainty quantification in defect detection. Key trends include hybrid modeling approaches, sparse data techniques, and applications in industrial inspection (e.g., drill-bit tools, ferromagnetic welds). Earlier contributions address analytical solutions for coil interactions with conductive media and transient response calculations. Affiliations & Teaching: Teaches undergraduate courses in Electrotechnics , Electric Machines , and Nondestructive Testing . Active in academic leadership as Rector, overseeing institutional strategy and research initiatives. Labs & Teams: Research activities are conducted within the University’s mechanical engineering facilities, focusing on electromagnetic testing and computational electromagnetics. Collaborates with international institutions on projects like the WFNDEC benchmarks and ISEM conferences.

Theodoula N. Grapsaمشاهده پروفایل

دانشیار

• Numerical Analysis
• Optimization Methods
• Systems of Nonlinear Equations
• +۳ مورد دیگر

Theodoula N. Grapsa is an Associate Professor in the Department of Mathematics at the University of Patras, Greece. She is affiliated with the Division of Computational Mathematics and Informatics within the department. Her office is located at B/M 243, and she can be reached at grapsa@math.upatras.gr or theodoula.grapsa@gmail.com. Dr. Grapsa's research focuses on several key areas in computational mathematics: Numerical Analysis and Optimization Methods Systems of Nonlinear Equations Interval Analysis and Global Optimization Neural Networks and Machine Learning Algorithms Computational Mathematics and Numerical Algorithms Her recent work shows a strong emphasis on developing and improving optimization algorithms, particularly for unconstrained optimization problems. She has made significant contributions to Newton's method modifications, conjugate gradient approaches, and hybrid techniques that combine forecasting with optimization. Her research bridges theoretical mathematics with practical computational applications, particularly in the areas of neural network training and solving complex nonlinear systems. Dr. Grapsa has supervised numerous graduate students throughout her career, including PhD candidates and MSc students. Her past PhD students include Dimitris G. Sotiropoulos, John A. Nikas, and Aristotelis E. Kostopoulos. Current PhD students under her supervision are Eleftheria N. Malihoutsaki, Athanasia N. Papanikolaou, and Christina D. Nikolakakou. She has authored two books: "Εισαγωγή στην Ανάλυση Διαστημάτων - Interval Analysis" (2012) "Προγραμματίζοντας με Fortran'90" (2012) Dr. Grapsa is actively involved in teaching, including the course "Basic Principles of Programming," for which she organized an educational visit to the Patras Science Centre in Rio for first-year mathematics students in April 2013.

• Computational Complexity
• Graph Algorithms
• Distributed Algorithms
• +۴ مورد دیگر

Roles and Affiliations: Aristides Pagourtzis is a Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA), leading the Computer Science Division. He also serves as Lead Researcher at the Archimedes Research Center (Athena RC) and heads the Computation and Reasoning Laboratory (CORELab). His academic career includes positions at institutions like the University of Liverpool and ETH Zürich. Education: Ph.D. in Electrical and Computer Engineering (1999) and Diploma in Electrical Engineering (1989), both from NTUA. Research Interests: Computational Complexity, Graph Algorithms, Distributed Algorithms, Cryptography, and Network Algorithms. Teaching: Teaches courses such as Algorithms and Complexity, Cryptography, and Advanced Topics in Theoretical Computer Science. Courses span undergraduate and postgraduate levels, emphasizing foundational and applied computer science concepts. Publications & Grants: Over 80 publications in journals like Theoretical Computer Science and conferences like CIAC and FCT. His research has been funded by grants from the US, EU, and national resources. Notable contributions include work on approximation algorithms, distributed computing, and cryptographic protocols. Service & Leadership: Served as co-chair for CIAC 2017 and FCT 2021. Active in academic service, organizing workshops and participating in committees for conferences such as IWOCA and ACM. Labs & Teams: Leads the CORELab, focusing on theoretical computer science and its applications. Collaborates on projects involving algorithm design, complexity analysis, and secure systems.

• OLAP and data warehousing
• data mining
• Sensor/P2P networks
• +۸ مورد دیگر

Kotidis Ioannis serves as an Associate Professor in the Department of Informatics at the Athens University of Economics and Business (AUEB). His academic journey began with a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, followed by Master's and Ph.D. degrees from the University of Maryland. His research focuses on several critical areas of database systems and data management, including On Line Analytical Processing (OLAP) and data warehousing, data mining, Sensor/P2P networks, mobile data management, data fusion & dissemination, data streams, RFID data management, approximate query answering, ranking, and database preservation and integration. His work bridges theoretical database concepts with practical applications in emerging technologies. Professor Kotidis' publication record demonstrates consistent contributions to database research over two decades, with notable work in dynamic view management, stream processing, sensor network data management, and more recently, blockchain-based OLAP view management and complex event processing. His research has evolved from traditional data warehousing to address challenges in modern data-intensive applications. best paper award at ACM SIGMOD International Conference on Management of Data for DynaMat paper Throughout his career, Professor Kotidis has supervised numerous students on projects related to database systems, including work on complex event processing, decentralized OLAP view management using blockchains, and graph similarity learning. His research projects include DeLorean (time-series management), RECOST (complex stream management), DBSENSE (wireless sensor networks), and INFORE (extreme-scale analytics). His laboratory work focuses on creating efficient, scalable solutions for data management challenges across various domains, with particular emphasis on making advanced data processing techniques accessible and practical for real-world applications.

Vassalos Paraskevasمشاهده پروفایل

استادیار

• Numerical Analysis
• Applied Mathematics
• Linear Algebra
• +۲ مورد دیگر

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 Papadopoulosمشاهده پروفایل

استاد

• Theoretical Computer Science
• Design and Analysis of Algorithms
• Graph Algorithms
• +۵ مورد دیگر

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.