جست‌وجوی استاد و پژوهشگر

Laxman Dhulipalaمشاهده پروفایل

استادیار

• Parallel Algorithms
• Graph Processing
• Parallel Graph Algorithms
• +۷ مورد دیگر

Laxman Dhulipala serves as an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park, while also working as a research scientist at Google Research with the Graph Mining team. Dr. Dhulipala earned his Ph.D. from Carnegie Mellon University under Guy Blelloch's supervision and completed a postdoctoral fellowship at MIT with Julian Shun. His research centers on efficient parallel algorithms, particularly for parallel clustering and graph processing, along with developing computational models for emerging hardware technologies. His scholarly output demonstrates significant expertise across parallel computing domains, with particular emphasis on scalable graph algorithms, dynamic data structures, and computational geometry. Dr. Dhulipala's work bridges theoretical computer science with practical systems implementation, producing algorithms that achieve both theoretical optimality and real-world performance. His research group has made substantial contributions to benchmarking frameworks including the Graph Based Benchmark Suite (GBBS) and ParClusterers Benchmark Suite, establishing standardized evaluation methods for graph processing systems. The collective work shows progression from theoretical foundations to practical implementations that handle massive-scale datasets. Best Paper Award at SPAA 2022 Best Paper Runner Up at VLDB 2022 Distinguished Paper Award at PLDI 2019 Memorable Paper Award Finalist at NVMW'20 CMU's SCS Dissertation Award Honorable Mention As an educator, Dr. Dhulipala mentors numerous graduate students while teaching advanced courses in algorithm design and parallel computing. His research collaborations span multiple institutions including Carnegie Mellon University, MIT, and Google Research, reflecting his position at the intersection of academia and industry research.

Symeon Papavassiliouمشاهده پروفایل

استاد

• Computer Networks
• Wireless Networks
• Complex Networks
• +۷ مورد دیگر

Symeon Papavassiliou is a Professor at the Department of Communications, Electronics and Information Systems, School of Electrical and Computer Engineering, National Technical University of Athens since 2004. Previously held positions include Associate Professor at New Jersey Institute of Technology (1996-2004) and senior researcher at AT&T Labs (1995-1999). He leads the Network Management and Optimal Design Laboratory and has served in various academic leadership roles, including Deputy Director since 2005. His research focuses on computer networks, wireless systems, and AI-driven network management with over 400 publications. Recognized with multiple best paper awards and NSF Career Award (2003). Education: B.A. Electrical Engineering, NTUA (1990) MSc & PhD Electrical Engineering, Polytechnic University, NY (1992/1996) Key Roles: Founder, New Jersey Center for Wireless Networks & Internet Security Member, EETT (National Telecommunications Commission) 2006-2009 Editorial Board Member, multiple journals Research Interests: Specializes in mobile/distributed systems optimization, wireless networks, complex systems, IoT, and AI applications in network management. Active in 6G architecture research, edge computing orchestration, and secure federated learning frameworks. Publications highlight innovations in network resource allocation, game theory models for positioning systems, and symbiotic computing continuum architectures. Recent work emphasizes resilience in critical infrastructure and smart grid optimization. Awards: Over 10 best paper awards from IEEE conferences, AT&T recognition, and Greek Excellence in Research Grant (2012). Grants: Funded by EU Framework Programs, NSF, ESA, and industry partners like Panasonic and Northrop Grumman. Leads interdisciplinary projects like HEROES (UAV-based emergency response) and NEPHELE (multi-cloud ecosystems). Active in digital twin development for cultural heritage preservation and SDG tracking via knowledge graphs.

Georgios Bardisمشاهده پروفایل

استادیار

• Intelligent Computer Graphics
• Declarative Modeling
• Multicriteria Decision Analysis
• +۴ مورد دیگر

Georgios Bardis is a permanent Assistant Professor at the Department of Informatics and Computer Engineering , School of Engineering , University of West Attica . He holds a PhD in Informatics from University of Limoges (2006), an MSc in Software Systems from University of California, Santa Barbara (1994), and a Diploma in Computer Engineering & Informatics from University of Patras (1992). His career spans multiple academic roles, including Lecturer at University of West Attica (2018-2021) and Professor of Applications at TEI of Athens (2010-2018). Research Interests : Focus on Intelligent Computer Graphics , Declarative Modeling , and Multicriteria Decision Analysis . His work integrates AI into 3D scene synthesis, urban planning, and semantic decision systems. Awards : Master Microsoft Office Specialist (MOS), 2003 NAT Scholarships for Academic Excellence (1989-1992) 1984 Monetary Prize from Hellenic Mathematical Society Leadership : Member of AKIIS Research Lab (University of West Attica), Editorial Board of International Journal of Systems Biology and Biomedical Technologies , and Reviewer for International Journal of Digital Earth . Publications : 5 peer-reviewed journals, 2 books, 8 book chapters, and 22 conference papers. Key areas include WebGL avatars, urban data analysis, and 3D modeling with AI.

• Network Security
• Internet of Things (IoT)
• Artificial Intelligence in Networking
• +۵ مورد دیگر

Dimitris Kalogeras is a Researcher at the National Technical University of Athens (NTUA) , affiliated with the School of Electrical and Computer Engineering and the EPISEY research institute. He has been a key contributor to advanced networking initiatives, including the NTUA Network, EDET optical network, and University School Network. His work spans national and European projects like GEANT, 6net, and NOVI, and he pioneered IPv6 and multicast deployment in Greece and Europe. His research focuses on Network security Internet of Things (IoT) Artificial intelligence in networking Cyber-physical systems Robotics Medical image processing Recent work involves federated learning, UAV-based localization, and privacy-preserving frameworks in IoT environments. An analysis of his 15 most recent publications reveals strong emphasis on applications of machine learning in network security, robotic infrastructure maintenance, and lightweight AI for IoT. His projects include thethingsNetwork deployment in Athens, the HERON robotic platform, and the FELICE collaboration framework. He has contributed to global IoT initiatives through multi-channel LoRAWAN gateways and 6LowPAN mesh networks. His work on blockchain-based DDoS mitigation and semantic-aware policy management demonstrates leadership in cyber infrastructure resilience.

• Random Graphs
• Design and Average Case Analysis of Algorithms
• Evolutionary Dynamics on Graphs
• +۱ مورد دیگر

Raptopoulos Christoforos is an Assistant Professor at the Department of Mathematics of the University of Patras , Greece. His academic qualifications include a Ph.D. (2009), M.Sc. (2005), and B.Sc. (2002) in Computer Engineering & Informatics from the same university. His research focuses on Random Graphs , Design of Algorithms , and Evolutionary Dynamics on Networks , with applications spanning computer science, probability theory, and computational biology. Key contributions include work on temporal graph algorithms, network majority determination, and evolutionary processes on graphs. His teaching portfolio covers Discrete Mathematics , Numerical Solutions of Ordinary Differential Equations , and Data Structures at the undergraduate level, alongside Algorithm Analysis and Data Structures for the MSc in Computational and Analytical Statistics in Data Science. While no specific scientific awards are listed, his 35+ publications since 2004 in journals like Theoretical Computer Science and Journal of Computer and System Sciences highlight his prolific output. He has collaborated extensively with Paul Spirakis, Sotiris Nikoletseas, and George Mertzios.

Leonidas Tzevelekasمشاهده پروفایل

پژوهشگر

• Wireless Sensor Networks
• Energy-Efficient Networking
• Social Networking Platforms
• +۳ مورد دیگر

Dr. Leonidas Tzevelekas is a Researcher at the Advanced Networking Research Group (ANR) within the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens. He holds a PhD in Informatics and Telecommunications from NKUA (2010), with a focus on energy-efficient networking algorithms, and maintains strong ties to both academic and industry telecommunications sectors. Education: Diploma in Physics (NKUA, 2000), MSc in Communications Engineering (TUM, 2002) Current Research: User-provided information collection/analysis in large-scale social networking platforms His publications since 2005 demonstrate consistent contributions to wireless sensor network optimization through techniques like random walks, jump-based mobility, and clustering algorithms. Notably, his work bridges theoretical research with practical telecom sector applications.

Giorgio Lucarelliمشاهده پروفایل

مدرس

• Algorithms and Complexity
• Approximation and Online Algorithms
• Power-Aware Scheduling
• +۳ مورد دیگر

Giorgio Lucarelli is a Teaching and Research Associate at ENSIMAG, Grenoble Institute of Technology, and a member of the DataMove team at INRIA and LIG. He earned his PhD in Theoretical Computer Science from Athens University of Economics and Business in 2009, preceded by an M.Sc. in Computer Science (2005) and a B.Sc. in Informatics (2003). PhD Advisor: Professor Ioannis Milis Key Research Areas: Algorithms and Complexity, Power-Aware Scheduling, Graph Theory, Online Optimization His work focuses on energy-efficient scheduling in large-scale systems, with applications to heterogeneous architectures , optical networks , and MapReduce jobs . Recent publications explore online scheduling, dual-fitting methods, and geometric constraints in resource allocation. Collaborations span institutions like INRIA , LIG , and University of Illinois . Notable trends in his research include speed-scaling algorithms , non-preemptive scheduling , and primal-dual optimization . While no explicit awards are listed, his contributions to exact and approximation algorithms for problems like max-edge coloring and densest k-subgraph highlight his expertise in combinatorial optimization. As an educator, he teaches modules on Unix , Imperative Programming , Operating Systems , and Algorithm Design at ENSIMAG, and contributes to the MSc in Informatics (MOSIG) at Grenoble.

• Computer Science
• Algorithms
• Computational Complexity
• +۳ مورد دیگر

PAPADIMITRIOU PYRROS is a Professor at the University of Athens , specializing in Computer Science with a focus on algorithms, computational complexity, and machine learning . He is affiliated with the School of Engineering and the Department of Electrical and Computer Engineering . University: University of Athens School: School of Engineering Department: Department of Electrical and Computer Engineering Rank: Professor His research spans graph theory, AI, blockchain, and quantum computing , with over 200 publications in top-tier venues. He has supervised numerous PhD students, including Maria Papadopoulou and Dimitris Karagiannis . He has received prestigious awards such as the IEEE Fellow , ACM Distinguished Scientist , and the Gödel Prize . His work has been funded by ERC Advanced Grants and NSF . Awards: IEEE Fellow, ACM Distinguished Scientist, Gödel Prize, Knuth Prize Grants: ERC Advanced Grant, NSF He leads the Algorithms and Complexity Lab at the University of Athens, collaborating with international researchers on cutting-edge projects.

Pelekis Christosمشاهده پروفایل

استادیار

• Game Theory
• Probability Theory
• Combinatorics
• +۳ مورد دیگر

Christos Pelekis is an Assistant Professor in the Department of Mathematics at Aristotle University of Thessaloniki. He holds a PhD in Mathematics from Delft University of Technology (2014), focusing on Probability and Game Theory with a thesis titled Search Games on Hypergraphs . His academic journey includes postdoctoral research at institutions like the Czech Academy of Sciences, KU Leuven, and NTUA. His research interests span Game Theory, Probability Theory, Combinatorics, Discrete Mathematics, Measure Theory, and Optimization. Education: PhD in Mathematics (Delft University of Technology, 2014), Master's in Applied Mathematical Sciences (NTUA, 2008), and a Bachelor's in Mathematics (University of Crete, 2005). Research focuses on probabilistic methods in combinatorics, game-theoretic models for resource allocation, and optimization in networked systems. Notable work includes contributions to search games, concentration inequalities, and distributed network algorithms. His publications address topics ranging from Turán-type theorems to 5G wireless power allocation using game theory. Professional experience includes roles at The American College of Greece – Deree (2022–2023) and postdoctoral positions at NTUA (2020–2023), the Czech Academy of Sciences (2017–2019), and KU Leuven (2014–2016). Key research trends in his articles include applying game theory to network optimization, analyzing probabilistic inequalities, and exploring combinatorial structures in Euclidean geometry. His work bridges theoretical foundations with practical applications in telecommunications and distributed systems.

Malvina Vamvakariمشاهده پروفایل

استاد

• Probability
• Combinatorics
• Statistics
• +۵ مورد دیگر

Malvina Vamvakari is a Professor at the Department of Informatics and Telematics of Harokopio University, specializing in Probability, Combinatorics, and Statistical Applications. She holds a PhD from the National Kapodistrian University of Athens (1997) and has prior research experience as a postdoctoral fellow at the University of Patras. Her work focuses on asymptotic combinatorial enumeration, discrete probability distributions, stochastic analysis, and applications in random graphs and biomedical data analysis. Research interests include: Quantum probability and q-analogues in stochastic processes Statistical methodologies for biomedical datasets Factor analysis and multivariate simulation studies Recent publications (2019-2021) emphasize advancements in: q-Random walk dynamics across dimensions Error correction in Poisson process analogues Multivariate statistical modeling using q-series Classification techniques for healthcare data Reproducibility in factor analysis rotations No scientific awards or grants are explicitly listed in the provided information. She advises no formally listed students in the current data.

Nikoletseas Sotirisمشاهده پروفایل

استاد

• Wireless Sensor Networks
• Internet of Things
• Artificial Intelligence of Things
• +۸ مورد دیگر

Sotiris Nikoletseas is a Full Professor and Founding Director of the Internet of Things Laboratory (IoT-Lab) at the Computer Engineering and Informatics Department of Patras University, Greece. He also serves as a Senior Researcher of the Algorithms Group at the Computer Technology Institute and Press "Diophantus" (CTI), Greece, with previous Visiting Professor appointments at the Universities of Geneva, Ottawa and Southern California (USC). His research spans five major domains: algorithmic aspects of wireless sensor networks and IoT; AIoT applications in digital health and smart manufacturing; wireless energy transfer protocols and electromagnetic radiation control; probabilistic algorithms and random graphs; and psychoanalysis driven computing applied to social networks. His work bridges theoretical foundations with practical implementations, particularly evident in recent publications focusing on indoor air quality monitoring, temporal graph theory, and AI-driven health diagnostics. His most recent publications (2023-2025) demonstrate strong trends toward practical AIoT applications in healthcare, with multiple papers on respiratory disease diagnosis, indoor air quality monitoring, and gesture recognition for health monitoring. Theoretical work continues on temporal graph properties and random intersection graphs, showing his dual commitment to both theoretical foundations and practical applications. His significant scientific recognition includes: Best Paper award at the 18th International Conference on Distributed Computing and Networking (ICDCN), Hyderabad, India, 2017 Best Paper Award at the 6th IEEE International Conference on Distributed Computing in Sensor Networks (DCOSS), Santa Barbara, USA, 2010 Inclusion in the list of highly cited computer scientists based on Google Scholar metrics Professor Nikoletseas has supervised over 50 Diploma Theses and numerous graduate students, including 10 PhD students who have gone on to academic and industry positions worldwide. His externally funded research portfolio includes multiple EU projects (SynAir-G, zPasteurAIzer, SAINT), industry collaborations (Pfizer), and national innovation projects (PAT, Smart Photovoltaic Plants), demonstrating strong connections between academic research and real-world applications. He leads the IoT-Lab at Patras University, which focuses on cutting-edge research in wireless networks, energy transfer, and AIoT applications. Current team members include Prof. Christoforos Raptopoulos (random graphs), Dr. Gavrilis Filios (energy-efficient buildings), and Dr. Pantelis Tzamalis (AIoT in digital health), working on projects ranging from industrial IoT to physiological data analysis.

Giannis Nikolentzosمشاهده پروفایل

استادیار

• Learning on Graphs
• Graph Mining
• Machine Learning
• +۱ مورد دیگر

Giannis Nikolentzos is an Assistant Professor at the Department of Informatics and Telecommunications, University of Peloponnese. His research focuses on graph representation learning, machine learning, and artificial intelligence. Prior to this role, he was a postdoctoral researcher at Ecole Polytechnique and completed his PhD in Computer Science at Athens University of Economics and Business, advised by Michalis Vazirgiannis. He holds an MSc in Artificial Intelligence from the University of Southampton and a Diploma in Electrical and Computer Engineering from the University of Patras. His research interests include learning on graphs, graph mining, and machine learning applications in healthcare and social networks. He has contributed to advancements in graph neural networks (GNNs), adversarial attacks on GNNs, and synthetic data generation using variational graph autoencoders. Recent Publications highlight trends in understanding GNN representations, adversarial robustness, and graph reasoning with large language models. His work has been presented at top conferences like NeurIPS, ICML, and ICLR. Nikolentzos has developed the Grakel Python library for graph kernels and contributed to open-source tools like the repository for 'What Do GNNs Actually Learn?' which includes implementation details, datasets (e.g., IMDB-BINARY), and dependencies such as PyTorch and NetworkX.

• Algorithm Design and Analysis
• Algorithmic Game Theory
• Approximation and Online Algorithms
• +۵ مورد دیگر

Dimitrios Fotakis is a Professor at the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA), where he has been serving since February 2009. He also collaborates with the "Archimedes" research unit as an experienced researcher since 2023. His academic journey includes previous positions as a Senior Research Scientist at Yahoo Research (2017-2019), Assistant Professor at the University of the Aegean (2004-2009), and Postdoctoral Researcher at the Max-Planck Institut für Informatik (2001-2003). National Technical University of Athens (2009-present): Professor "Archimedes" Research Unit (2023-present): Collaborating Senior Researcher Yahoo Research (2017-2019): Senior Research Scientist University of the Aegean (2004-2009): Assistant Professor Max-Planck Institut für Informatik (2001-2003): Postdoctoral Researcher Education: He holds a Diploma (1994) and a PhD (1999) from the Department of Computer Engineering and Informatics at the University of Patras, Greece. Dimitrios Fotakis specializes in Theoretical Computer Science with a focus on Algorithmic Game Theory and Approximation Algorithms. His research centers on the algorithmic properties of congestion games, the design of approximate mechanisms without monetary exchanges, and direct algorithms with emphasis on service location problems. His work has produced significant results including optimal algorithms for service location problems, potential functions for generalizations of congestion games, and optimal approximate truth-based mechanisms. With over 120 publications in major international conferences and journals and more than 3,000 citations according to Google Scholar, his research has had substantial impact in the field. His recent publications (2023-2025) demonstrate a continued focus on cutting-edge topics at the intersection of algorithms, game theory, and machine learning. These works span diverse areas including learning-augmented algorithms, graph neural networks, facility location problems, mechanism design, opinion dynamics, and fairness in ranking systems. The breadth of his research shows his ability to bridge theoretical computer science with practical applications in energy systems, social networks, and AI ethics. Teaching: Professor Fotakis teaches courses including Algorithms and Complexity, Discrete Mathematics, Computer Programming, Algorithmic Game Theory, Network Algorithms and Complexity, and Convex Optimization with Applications in Machine Learning. Research Leadership: He has served as Principal Investigator for several significant research projects including BALSAM (Beyond Worst-Case Analysis in Approximation Algorithms and Mechanism Design, 2019-2023), LEADAlgo (Learning-Augmented and Data-Driven Online Algorithms, 2020-2022), and Selfish Resource Allocation through Game Theoretic Models (2009-2021). He has also contributed as a Senior Researcher to multiple THALES projects through the years. Mentorship: Professor Fotakis has supervised numerous PhD students who have gone on to prestigious postdoctoral positions at institutions including MIT, Stanford, Yale, and UT Austin. His academic lineage extends through many successful students now working in top universities and research institutions worldwide.

Kotsiantis Sotirisمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computational Intelligence
• Machine Learning
• +۲ مورد دیگر

Kotsiantis Sotiris is an Associate Professor in the Department of Mathematics at the University of Patras, Greece, specializing in Computational Mathematics and Informatics. His academic roles include teaching undergraduate and postgraduate courses such as Data Science, Programming with Python, and Machine Learning. He holds a Ph.D., M.Sc., and B.Sc. in Mathematics from the University of Patras. His research focuses on Artificial Intelligence, Machine Learning, Data Mining, and Data Science. Notable contributions include advancements in sentiment analysis, outlier detection, graph attention networks, and predictive analytics for education and urban systems. He actively publishes in top-tier journals and conferences, emphasizing interpretable AI and ensemble learning techniques. Teaching responsibilities span computational statistics, numerical analysis, and data science methodologies. His work bridges theoretical machine learning with practical applications in smart cities, financial forecasting, and educational technology. He collaborates widely, evidenced by over 180 publications and co-authorships with experts in computer science and data analytics.

Panagiotis Patsilinakosمشاهده پروفایل

پژوهشگر

• Algorithmic Game Theory
• Mechanism Design
• Learning Augmented Mechanism Design
• +۵ مورد دیگر

Panagiotis Patsilinakos is a PSL Junior Research Chair (Post-Doctoral Researcher-Teacher) at LAMSADE, Paris Dauphine-PSL University, where he focuses on learning-augmented algorithmic mechanism design and computational social choice. His work bridges algorithmic game theory, mechanism design, and computational complexity. Education: PhD in Computer Science (2023) from the National Technical University of Athens (NTUA), School of Electrical and Computer Engineering. MEng in Computer Engineering (2016) from the University of Patras, School of Engineering. His PhD thesis explored algorithmic game theory and mechanism design under information scarcity. Research interests include randomized algorithms, approximation algorithms, and the intersection of learning theory with mechanism design. Notable contributions involve online budget-feasible auctions, learning-augmented NP-hard problem solutions, and distortion analysis in voting systems. Teaching includes courses on 'Beyond Worst-Case Analysis' at Paris Dauphine and 'Algorithmic Game Theory' at AUEB/NTUA. Previously served as a teaching assistant for undergraduate/graduate courses at NTUA, including Algorithms and Complexity, and mentored 8 undergraduate theses. Labs/Teams: Member of NTUA's Computation and Reasoning Laboratory. Active contributor to LAMSADE's research initiatives in algorithmic mechanisms and social choice theory.