جست‌وجوی استاد و پژوهشگر

Manolis Sangriotisمشاهده پروفایل

دانشیار

• Image Processing
• Computer Vision
• Stereo Image Coding
• +۴ مورد دیگر

Manolis Sangriotis is an Associate Professor at the National and Kapodistrian University of Athens, affiliated with the Department of Informatics and Telecommunications. His academic journey began with a B.Sc. in Physics (1970), followed by M.Sc. degrees in Electronics and Radioelectrology (1973) and Electronic Automation (1975), culminating in a Ph.D. in Informatics and Telecommunications (1980) from the University of Athens. His research focuses on image processing , computer vision , and 3D imaging , with emphasis on stereo image coding, integral photography, and real-time compression architectures. He explores applications in medical imaging, autostereoscopic displays, and multimedia systems, leveraging wavelet transforms, morphological operations, and statistical clustering. Recent publications (2012–2004) reveal a strong trend toward integral imaging innovations , including rectification frameworks, watermarking, and 3D-DCT compression. His work consistently addresses challenges in multiview data representation, disparity estimation, and photorealistic rendering, bridging computer vision with optical engineering. Scientific Awards: Best Paper Award at IEEE 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (2012) He actively advises PhD students, including Eirini Kostopoulou, Tzanoukos Georgios, and Papageorgiou Louis. His research group collaborates on projects related to real-time systems and image datasets, often supported by institutional grants. As part of the RTSImage laboratory, he contributes to developing computational tools for image analysis and compression, with applications spanning medical diagnostics and 3D display technologies. Future directions include advancing omnidirectional imaging and robustness in automated biomedical assessments.

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.

George Matsopoulosمشاهده پروفایل

استاد

• Nonlinear Image Processing
• Medical Applications
• Medical Image Registration
• +۴ مورد دیگر

George Matsopoulos is a tenured Professor at the Division of Information Transmission Systems and Material Technology, part of the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). His research focuses on medical image processing, AI-driven healthcare systems, and telemedicine applications. He holds a diploma in Electrical Engineering from NTUA (1988), an M.Sc. (1989), and a Ph.D. (1993) from the Bioengineering Unit at the University of Strathclyde, U.K. His research portfolio includes over 300 peer-reviewed publications in journals, conferences, and books. Key areas include nonlinear image processing for medical diagnostics, 2D/3D medical image registration, computer vision applications in healthcare, and decision support systems for clinical workflows. He has pioneered frameworks for integrating AI into telemedicine, radiomics analysis for cancer detection, and robotic-assisted rehabilitation systems. Recent work emphasizes healthcare robotics ontologies (HERON), deep learning for MRI/PET analysis, and predictive models for neurological conditions like bipolar disorder. He leads interdisciplinary projects such as TeleRehaB DSS (balance rehabilitation) and the Retention Project (heart failure prediction). His contributions span clinical decision support, medical device design, and AI ethics in healthcare systems. Notable achievements include the development of automated segmentation algorithms for organs at risk in radiotherapy, machine learning models for early-stage disease prediction, and AR/VR tools for stroke rehabilitation assessment. His work bridges electrical engineering, computer science, and biomedical applications, addressing unmet clinical needs through technology innovation.

• 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.

• Optical Communications
• Telecommunications
• Photonics
• +۷ مورد دیگر

Professor Miliou N. Amalia is a faculty member at the Department of Informatics, Aristotle University of Thessaloniki. She holds a PhD in Electrical & Computer Engineering from the University of Florida. Her academic roles include Professor and ERASMUS Coordinator. Her research focuses on optical communications, including optoelectronic circuits, 5G networks, and secure optical systems. She has supervised numerous students and contributed to projects like 5G-PHOS and ePhos. Education: BSc Physics (Aristotle University), MSc/PhD in Electrical Engineering (University of Florida) Research interests span optical switching, converged fiber-wireless technologies, and high-speed optical memory architectures. Her work includes over 100 publications in journals like IEEE/OSA and conferences such as OFC and ECOC. She leads initiatives in optical network intelligence and reconfigurable data planes. Administrative roles include curriculum development and international program coordination.

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.

• Financial Econometrics
• Applied Econometrics
• Theoretical Econometrics
• +۵ مورد دیگر

Yiannis Dendramis is an Associate Professor in the Department of Economics at the Athens University of Economics and Business (AUEB), within the School of Economic Sciences. He has previously held academic positions as a Marie Skłodowska-Curie European Research Fellow, Lecturer at the University of Cyprus, and Lecturer and Research Fellow at Queen Mary University of London, reflecting a strong international academic profile. His research centers on Financial Econometrics , with emphasis on applied and theoretical modeling of high-dimensional data and the integration of machine learning methods into econometric frameworks. His work spans applications in finance and macroeconomics, particularly in forecasting, risk modeling, and policy evaluation. The analysis of his recent publications reveals a consistent focus on modern econometric techniques, including penalized regression, factor models, and machine learning algorithms applied to financial and macroeconomic datasets. His research contributes to both methodological advancements and empirical insights in areas such as volatility forecasting, systemic risk, and energy policy. He has published in leading journals including Econometric Theory , Journal of Banking and Finance , International Journal of Forecasting , and Energy Policy . While no specific scientific awards are mentioned in the provided text, his publication record indicates significant scholarly impact. Dendramis advises graduate students in econometrics and economics, though specific names are not listed. His research likely involves collaborations and access to institutional data resources, but no formal grants or funding programs are explicitly mentioned. He does not appear to lead a named research lab or team based on the available content.

• Optimization Algorithms
• Operational Research
• Logistics and Supply Chain Management
• +۳ مورد دیگر

Magda Marinaki is a Researcher at the Technical University of Crete, affiliated with the School of Production Engineering and Management. She is part of the Computational Engineering and Optimization Laboratory, focusing on optimization algorithms and their applications in logistics, transportation systems, and sustainability. Her work spans blockchain technology in maritime logistics, vehicle routing problems (VRP), swarm intelligence algorithms, and energy-efficient transportation solutions. Her research interests include optimization methodologies like genetic algorithms, particle swarm optimization, and grey wolf optimizers. Recent studies address challenges such as electric vehicle charging infrastructure, drone integration in logistics, and flow shop scheduling. She has contributed to both theoretical advancements in metaheuristics and practical applications in supply chain management and environmental engineering. Key Projects: Blockchain applications in port operations, energy-minimizing EV routing, and UAV path planning. Collaborations: Interdisciplinary work on sustainability and smart infrastructure. Marinaki’s publications highlight a focus on solving complex real-world problems through innovative algorithmic approaches, with a particular emphasis on environmental and efficiency metrics.

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.

Triantafyllou Savvasمشاهده پروفایل

استادیار

• Computational Mechanics
• Structural Engineering
• Fracture Mechanics
• +۵ مورد دیگر

Triantafyllou Savvas serves as an Assistant Professor in the Department of Structural Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA), with his faculty appointment documented since October 2020. His academic work is centered within one of Greece's premier engineering institutions, contributing to both advanced structural analysis education and cutting-edge computational research. Professor Savvas's research program focuses on computational structural mechanics with emphasis on developing advanced numerical methods for complex engineering challenges. His expertise spans material point methods for contact and fracture problems, wave-structure interaction phenomena (particularly for dams and flexible structures), vibroacoustics in porous media, and the mechanical behavior of textile reinforced mortar (TRM) systems for masonry strengthening. His work bridges theoretical computational advances with practical applications in infrastructure resilience against extreme events like tsunamis and earthquakes. Analysis of his recent publications (2021-2025) reveals a cohesive research trajectory centered on computational innovation: he has pioneered high-fidelity material point formulations for contact mechanics, developed multiscale virtual element methods for poroelastic media, established empirical models for TRM-masonry interfaces, and explored machine learning integration in topology optimization. His work consistently addresses critical gaps in simulating dynamic structural failures and wave impacts. Scientific Awards: No scientific awards were documented in the provided source materials. Advising and Grants: While the source materials do not specify current students or grant awards, Professor Savvas's extensive publication record across high-impact journals indicates active graduate research supervision and likely involvement in competitive research funding. His collaborative work with institutions like NTUA's Department of Structural Engineering suggests participation in national and international research consortia focused on computational mechanics and structural safety.

• Polymer Science
• Computational Chemistry
• Self-Assembly
• +۶ مورد دیگر

Vlachos Konstantinos is a Professor of Physical Chemistry at the Department of Chemistry, University of Ioannina, Greece. His research focuses on polymer science, computational chemistry, and statistical mechanics, particularly on conformational properties of polymers, adsorption on surfaces, and self-assembly phenomena. Education: 1982: Degree in Chemistry, University of Ioannina 1989: PhD in Chemistry, University of Ioannina 1991-1993: Postdoctoral Researcher, UNED and Complutense Universities of Madrid 1993-2001: Postdoctoral Researcher, University of Athens Research Interests include: Study of dilute polymer solutions using analytical and computational methods Polymer adsorption on surfaces for industrial applications Miscibility of polymer mixtures via Monte Carlo simulations Self-assembly of block copolymers and polyelectrolyte micelles Polymer brushes and their conformational behavior Publications (selected) highlight trends in polymer blend compatibility, micellar dynamics, and the impact of molecular architecture on material properties. His work bridges theoretical models like the random walk and Pivot algorithm with experimental validation.

Bor-Yuh Evan Changمشاهده پروفایل

دانشیار

• Programming Languages
• Program Analysis
• Software Verification
• +۳ مورد دیگر

Bor-Yuh Evan Chang serves as an Associate Professor in the Department of Computer Science at the University of Colorado Boulder, holding a courtesy appointment in the Department of Electrical, Computer, and Energy Engineering. He co-directs the Programming Languages and Verification Group (CUPLV) and maintains an industry affiliation as an Amazon Scholar, bridging academic research with practical software engineering challenges. His research spans Programming Languages, Program Analysis, and Software Verification with emphasis on Abstract Interpretation, Static Analysis, and Distributed Systems. Chang's work focuses on developing algorithmic techniques to enhance software quality and developer productivity, particularly through automated reasoning for specification assistance, alarm triage, and repository-based improvement. Current investigations target real-world applications including Android programming models and distributed algorithm verification. Analysis of Chang's 15 most recent publications reveals a consistent trajectory in program analysis foundations with increasing focus on distributed systems verification. His work demonstrates evolution from callback analysis in mobile applications (2017-2019) toward sophisticated cost analysis and distributed consistency models (2021-2026), maintaining strong connections between theoretical abstract interpretation and practical tool implementation. Chang actively shapes the programming languages community through leadership roles including PLDI 2026 General Chair and SAS Steering Committee membership. He has served on program committees for every major venue in the field including PLDI, POPL, and SPLASH across 12 consecutive years (2015-2026). As co-director of CUPLV, Chang leads research efforts in formal methods for modern software systems. His group develops techniques for program analysis, verification, and automated reasoning with direct applications to industrial-scale codebases through the Amazon Scholar collaboration.

Doug Leaمشاهده پروفایل

استاد

• Concurrency
• Parallelism
• Distributed Systems
• +۳ مورد دیگر

Doug Lea serves as Professor of Computer Science at the State University of New York at Oswego, where he has established himself as a leading authority in concurrent and parallel systems. His extensive contributions span software library development, standardization efforts, and academic leadership across major programming language conferences. His research focuses on concurrency, parallelism, distributed systems, and reusable software components . Lea's work bridges theoretical foundations with practical implementations, particularly evident in his widely adopted Java concurrency libraries. His research interests stem from deep engagement with object-oriented design principles and implementation techniques for complex computing systems. Lea's scholarly impact is reflected in his designation as an ACM Fellow . His contributions extend beyond publications to significant influence on industry standards and educational practices in concurrent programming. As an active academic leader, Lea has served on program committees for premier conferences including PLDI, SPLASH, ECOOP, and PPoPP since 2014. His ongoing participation through 2026 demonstrates sustained engagement with the programming languages community. His professional website at http://gee.cs.oswego.edu serves as a resource hub for his technical contributions.

Thomas Lembergerمشاهده پروفایل

پژوهشگر

• Software Verification
• Code Analysis
• Software Testing
• +۵ مورد دیگر

Dr. Thomas Lemberger is a researcher at the Software and Computational Systems Lab in the Department of Computer Science at Ludwig-Maximilians-Universität München (LMU Munich). He holds a PhD and is actively involved in software verification research, particularly with the CPAchecker framework. His work spans multiple aspects of formal methods and software testing. Dr. Lemberger's research focuses on software verification, code analysis, software testing, fault localization, and program repair. His work explores cooperative approaches across test generation and formal verification, aiming to combine the strengths of different verification techniques. He has made significant contributions to distributed verification, witness-based validation, and fault localization techniques. His research often addresses practical challenges in scaling verification to real-world software systems. His publication record shows a strong focus on decomposing verification tasks into manageable components, improving verification efficiency through parallelization, and creating practical tools that bridge the gap between theoretical verification techniques and practical software development workflows. Recent work emphasizes cooperative verification approaches that combine multiple techniques to overcome individual limitations. Dr. Lemberger has been nominated for best paper at SPIN 2024 for his work on fault localization with verification witnesses, highlighting the recognition of his contributions to the field. He actively mentors numerous BSc and MSc students on various verification-related topics, covering areas from microservice verification to automatic program repair. His research is supported by German Research Foundation (DFG) projects including DFG-CONVEY, DFG-COOP, and DFG-IDEFIX. Dr. Lemberger is a key contributor to the CPAchecker verification framework and has developed tools like CoVeriTeam GUI that enable no-code composition of verification workflows. His work bridges theoretical verification research with practical tool development for real-world software engineering challenges.