جستجوی استاد راهنمای دانشگاهی

Michail G. Lagoudakis is a Professor at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete (TUC), Greece. He leads the Intelligent Systems Laboratory (InteLLigence), focusing on machine learning, robotics, and decision-making under uncertainty. His academic journey includes a Ph.D. from Duke University (2003) and prior roles at Georgia Tech and AT&T Labs. Education: Ph.D. in Computer Science, Duke University, 2003 M.Sc. in Computer Science, University of Louisiana, 1998 Diploma in Computer Engineering and Informatics, University of Patras, 1995 Research Interests: His work spans reinforcement learning, multi-agent systems, robotics (team coordination, probabilistic methods), and complex systems. Notable projects include the EURECA-PRO university network, RoboCup Kouretes team, and algorithmic advancements like LSPI. Teaching: Courses include Artificial Intelligence, Machine Learning, and Robotics. His teaching philosophy emphasizes hands-on learning with tools like ROS and NAO robots. Projects & Collaborations: Current projects include aerial-ground robot collaboration, dialogue management systems, and solar energy optimization. Earlier work includes auction-based coordination and DPLL solver enhancements (RLSAT). Lab & Teams: The Intelligent Systems Lab develops autonomous systems, robotic platforms, and learning algorithms. The Kouretes team competes in RoboCup leagues, showcasing adaptive multi-agent strategies.

• Machine Learning
• Artificial Intelligence
• Reinforcement Learning
• +۴ مورد دیگر

Angelos Amanatiadis is Assistant Professor of Robotics at the Department of Production and Management Engineering, Democritus University of Thrace (DUTH), Greece. He received his Diploma and Ph.D. (Hons.) from the Department of Electrical and Computer Engineering at DUTH in 2004 and 2009, respectively. His research focuses on autonomous robotic systems , computer vision , machine learning , and real-time embedded systems . His publications (35+ journal papers, 50+ conference papers) cover topics like autonomous vehicle localization, 3D object detection, educational robotics, and image processing. He has received the Stavros Niarchos Award for Promising Young Scientists and IKY Postdoc Scholarship . He contributes to the field as Associate Editor of the International Journal of Advanced Robotic Systems and HardwareX Journal, and as a program committee member for 10+ international conferences. His recent work includes leading the development of Greece’s first Hellenic Autonomous Vehicle (HAV) using deep learning and AI. He teaches courses on Control Systems, Big Data Analytics, Robotics, and Computational Intelligence. His research has been featured in media outlets like BBC, Bloomberg, IEEE Spectrum, and Popular Science.

• Robotics
• Autonomous Vehicles
• Computer Vision
• +۳ مورد دیگر

Angelos Alexopoulos is an Assistant Professor at the Department of Economics , Athens University of Economics and Business . He has held Research Associate positions at the University of Cambridge, University College London, and University of Exeter in the UK. PhD: Athens University of Economics and Business Research Focus: Computational Statistics, Econometrics, Bayesian Analysis, Network Modelling Publications span Bayesian inference, epidemic forecasting, machine learning for fraud detection, and econometric methodology. Key journals include Journal of the Royal Statistical Society , Journal of Computational and Graphical Statistics , and Statistics and Computing . 2024: Gaussian invariance in MCMC 2024: Epidemic nowcasting models 2023: VAT fraud detection with ML Awards include certifications in Deep Learning (Coursera), Blockchain (edX), and Object-Oriented R Programming (DataCamp).

• Theoretical and Applied Econometrics
• Bayesian Analysis
• Computational Statistics
• +۴ مورد دیگر

Arthur Azevedo de Amorim is an Assistant Professor in the Department of Computer Science at the Rochester Institute of Technology's College of Computing. His research focuses on making software more secure and reliable using techniques based on formal verification, programming languages, and type systems. Previously, he held postdoctoral positions at Boston University and Carnegie Mellon University after completing his Ph.D. at the University of Pennsylvania under Benjamin Pierce and co-advised by Cătălin Hrițcu. His educational background includes undergraduate studies in computer science and engineering at Unicamp and Polytechnique. He is also one of the authors of Software Foundations, an introductory textbook to the Coq proof assistant, and maintains an active blog about Coq. Dr. de Amorim's research spans several critical areas in programming languages and security. His work on cryptographic protocols leverages recent advances in program verification (particularly separation logic) to verify cryptographic protocols. His research on compartmentalization analyzes formal guarantees of techniques for limiting the scope of vulnerabilities in low-level languages like C and C++. These research areas reflect his commitment to bridging theoretical foundations with practical security applications. His recent publications demonstrate strong activity across multiple top-tier conferences including POPL, PLDI, CCS, and ICALP, with research spanning formal verification, secure compilation, differential privacy, and programming language theory. His work consistently combines theoretical rigor with practical applications in security and reliability. Dr. de Amorim has served on numerous program committees for major programming languages conferences including POPL, PLDI, ICFP, and CoqPL, demonstrating his active engagement with the research community. He has also contributed to important educational resources through his work on Software Foundations. He currently advises several graduate students at RIT working on various aspects of programming languages and security. His lab develops multiple open-source software projects including Cryptis (for verifying cryptographic protocols), Deriving (a Coq library for automating class instances), and Extructures (a Coq library of finite data structures).

• Programming Languages
• Formal Verification
• Security
• +۳ مورد دیگر

Professor Mathioudakis Konstantinos holds a prestigious position at the School of Mechanical Engineering, National Technical University of Athens (NTUA), leading the Laboratory of Thermal Turbomachines. His academic journey includes a Doctorate in Applied Sciences from the Catholic University of Leuven (Belgium) with highest distinction, alongside advanced studies from the Von Karman Institute and NTUA. He has over 35 years of professional experience in academia and industry, including roles as Secretary General for Energy (2009–2015) and professorships since 1990. His research focuses on gas turbine performance optimization, turbomachinery diagnostics, and energy systems, with notable contributions to fault detection algorithms, combustion chamber modeling, and alternative fuels. Key areas include aero-engine preliminary design, marine propulsion systems, and solar hybrid technologies. He has authored over 150 peer-reviewed papers and received multiple awards, including best paper honors from ASME and ImechE. Education: PhD in Applied Sciences (1985), Catholic University of Leuven Fluid Dynamics Diploma (1981), Von Karman Institute Mechanical Engineering (1980), NTUA Awards: ASME Best Paper Awards (2012, 2004, 2003, 2002) PE Publishing Award (2004) Outstanding Service Award (ASME, 2002) Professor Mathioudakis has pioneered diagnostic methodologies combining probabilistic reasoning and neural networks, enhancing fault localization accuracy. His work on transient modeling and steady-state diagnostics improves engine operability and maintenance strategies. He actively contributes to international committees, including leadership roles in ASME’s Controls and Diagnostics Committee. Current duties include coordinating Erasmus programs and advising on propulsion systems for next-generation aircraft. His lab develops tools for turbine disk design, contra-rotating propeller modeling, and solar hybrid gas turbines, bridging academic research with industrial applications.

• Gas Turbine Engineering
• Turbomachinery Diagnostics
• Fluid Dynamics
• +۷ مورد دیگر

Pavlos Efraimidis is a Professor at the Department of Electrical and Computer Engineering, Democritus University of Thrace, leading the Algorithms and Privacy Research Team within the Programming and Information Processing Laboratory. His academic journey includes a PhD in Informatics (2000) and diploma in Computer Engineering (1995) from the University of Patras. He was elected Associate Professor in 2014 and promoted to Professor in 2023. His research focuses on algorithms with emphasis on algorithmic game theory and privacy aspects . Key areas include social network influence dynamics , blockchain applications , and data protection . His work has been funded through projects like ATLAS, SPHINX, and HellasHPC. Notable scientific achievements include a Best Paper Award at SEST 2022 IEEE Larry K. Wilson Award 2020 Best paper at MEDPOWER 2020 NASA Letter of Appreciation He has supervised 3 PhD graduates and over 10 MSc students, with current supervision of 4 PhD candidates, 2 MSc theses, and 10 diploma theses. His industrial experience spans high-performance computing (Parsytec GmbH) and financial sector systems (ASYK).

• Algorithms
• Algorithm Theory and Applications
• Algorithmic Game Theory
• +۴ مورد دیگر

Mageirou Evangelos is a Professor at the Department of Informatics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB) . He holds a BS in Electrical Engineering from Princeton University (1971), an M.Sc. in Decision and Control Sciences from Harvard University (1972), and a Ph.D. in Decision and Control Sciences from Harvard University (1976). His research spans both theoretical and applied domains in Operations Research , with a focus on Finance , Shipping , and Energy Systems , alongside foundational work in Combinatorial Optimization , Algorithms , and Probabilistic Models . Education : BS in Electrical Engineering, Princeton University, 1971 M.Sc. in Decision and Control Sciences, Harvard University, 1972 Ph.D. in Decision and Control Sciences, Harvard University, 1976 His research interests integrate mathematical techniques with real-world applications, particularly addressing Greek business environments through Energy Systems , Financial Modeling , and Shipping Logistics . Publications emphasize Game Theory , Dynamic Optimization , and Graph-Theoretic Algorithms , reflecting his interdisciplinary approach. Notable contributions include algorithmic frameworks for Stochastic Vessel Positioning , Policy Iteration in Control Problems , and foundational studies in Kernel Enumeration and Default Logic . His work bridges Operations Research with Computer Science , particularly in Maritime and Energy Policy contexts. Administrative Roles : Chairman of the Governing Board, Public Power Corporation S.A. (since April 2004) Chairman of the Faculty Union, AUEB (1994–present) Deputy Chairman, Department of Informatics, AUEB (Sept. 2003–present) Director of Studies, MSc Program in Business Mathematics (Jointly organized with University of Athens and AUEB) Board Member, Hellenic Operations Research Society (1979–1983)

• Theoretical and Applied Operations Research
• Finance
• Shipping
• +۴ مورد دیگر

Georgios P. Karatzas is a Professor at the Department of Environmental Hydraulics, Coastal Engineering and Geoenvironmental Engineering (IV) within the Technical University of Crete. His research focuses on Water Resources Management , Groundwater Flow and Pollutant Transport , and Geoenvironmental Engineering . He leads the Laboratory of Geoenvironmental Engineering and has developed innovative methodologies like the 'Outer Approximation Method' Optimization adopted by major US agencies. His academic credentials include a Ph.D. (1992), M.Sc. (1987), and B.Sc. (1985) from Rutgers University, with prior education in Forestry from Aristotle University of Thessaloniki (1982). He has received international recognition, including adoption of his optimization methods by the Federal Remediation Technologies Roundtable (2003-present) and EPA (1999). His research integrates Groundwater Simulation Models with Optimization Methods for sustainable aquifer management, addressing challenges like Coastal Aquifer Salinization , Karst Aquifer Dynamics , and Flood Risk Assessment . Recent projects include InTheMED (€220,000) and Sustain–COAST (€290,000) focused on Mediterranean groundwater sustainability. Notable scientific awards include the 2014 Outstanding Teaching Award at Technical University of Crete and multiple grants from PRIMA, Interreg, and LIFE+ programs. His work combines advanced computational methods with practical environmental risk mitigation strategies.

• Water Resources Management
• Groundwater Flow and Pollutant Transport
• Geoenvironmental Engineering
• +۳ مورد دیگر

Thomas A. Henzinger is President and Professor at the Institute of Science and Technology Austria (IST Austria), a position held since 2009. Previously, he served as professor at EPFL (2005-2009) and UC Berkeley (1996-2005), establishing himself as a leading figure in formal methods and system verification. His educational background includes a PhD in Computer Science from Stanford University (1991), an MSc from the University of Colorado Boulder (1989), and a Diplom-Ingenieur from Johannes Kepler University Linz (1988). Henzinger's research centers on formal methods for system design and verification. He develops theoretical frameworks and practical tools for analyzing concurrent, distributed, and cyber-physical systems. Key contributions span model checking, abstraction techniques, quantitative analysis, and real-time system verification, with applications in software engineering and biological modeling. Recent publications (2015-2022) demonstrate sustained innovation in asynchronous programming, distributed algorithms, and robustness analysis. His work bridges theoretical foundations with practical verification challenges, particularly in sequentialization of asynchronous programs, Lipschitz robustness for timed systems, and worst-case execution time analysis. Major scientific recognition includes: ACM Fellow (2001) IEEE Fellow (2001) Wittgenstein Award (2000) Royal Society Milner Award (2014) Henzinger has supervised numerous PhD students at UC Berkeley and EPFL, with research funded by NSF, DARPA, and ERC grants including an Advanced Grant. His leadership extends to program committees of premier conferences like PLDI and POPL. As IST Austria President, he drives strategic initiatives for interdisciplinary research while maintaining active contributions to computer science through publications and community engagement.

• Computer Science
• Formal Methods
• Programming Languages
• +۳ مورد دیگر

Kavvadias Dimitris is an Assistant Professor in the Department of Mathematics at the University of Patras, specializing in Computational Mathematics and Informatics. His academic journey includes a B.Sc. in Electrical and Computer Engineering from the National Technical University of Athens (1983), M.Sc. in Computer Science from Columbia University (1984), and a Ph.D. in Computer Engineering & Informatics from the University of Patras (1989). He has been affiliated with the University of Patras since 1992, initially as a Lecturer and then as an Assistant Professor since 1997. His research focuses on Algorithms and Complexity, Graph Theory and Applications, Computer Networks, and Scientific Computing. He has contributed to numerous research projects, including studies on parallel algorithms, network reliability, and data mining. His work spans theoretical computer science and practical applications, with a strong emphasis on algorithm design and computational methods. Kavvadias has taught extensively at both undergraduate and postgraduate levels, covering courses such as Discrete Mathematics, Operating Systems, and Algorithm Analysis. He has supervised doctoral theses and diploma projects, including those of H. Staurovoulos and Angeliki Panagopoulou. His involvement in academic organizations includes roles in the ACM, EATCS, and the Hellenic Open University. His publications reflect expertise in hypergraph algorithms, transversal generation, and numerical root finding, with contributions to journals like SIAM and theoretical computer science forums. He has also participated in international conferences and served as a referee for prominent journals and events.

• Algorithms and Complexity
• Graph Theory and Applications
• Computer Networks and Internet
• +۳ مورد دیگر

Michael Taroudakis is a Professor at the University of Crete, holding a Ph.D. from the National Technical University of Athens (1988). His research focuses on mathematical modeling of physical phenomena with emphasis in wave propagation, particularly as applied to acoustical oceanography and inverse problems. Professor Taroudakis's research interests span several interconnected fields including wave propagation, mathematical modeling, acoustical oceanography, inverse problems, seismic signal analysis, and geoacoustic inversion. His work demonstrates a consistent focus on applying advanced mathematical techniques to solve complex problems in underwater acoustics and oceanographic research. He has made significant contributions to statistical characterization of acoustic and seismic signals, development of inversion techniques, and applications of machine learning in acoustical oceanography. Analysis of his publication record reveals a strong emphasis on statistical methods for signal characterization, particularly using wavelet transforms and hidden Markov models. His research has evolved from fundamental mathematical approaches to more applied problems in ocean monitoring and environmental assessment, with recent work expanding into socioeconomic analysis related to labor markets in Crete. This interdisciplinary approach demonstrates his ability to apply mathematical expertise to diverse real-world problems. Professor Taroudakis has maintained an active research program with publications spanning over three decades, showing continued productivity through 2025. His work has contributed significantly to the field of acoustical oceanography, particularly in the Mediterranean region, and has helped advance methodologies for geoacoustic inversion and ocean acoustic tomography.

• Wave Propagation
• Mathematical Modeling
• Acoustical Oceanography
• +۴ مورد دیگر

Leonidas Akritidis serves as a Lecturer at the Department of Science and Technology within the School of Science and Technology at International Hellenic University. He holds a PhD and Diploma in Electrical and Computer Engineering from University of Thessaly and Aristotle University of Thessaloniki respectively. His educational background includes: PhD in Electrical and Computer Engineering, University of Thessaly (2007-2013) Diploma in Electrical and Computer Engineering, Aristotle University of Thessaloniki (1997-2003) Akritidis specializes in Natural Language Processing, Deep Machine Learning, and Data Mining with particular expertise in short text clustering, dimensionality reduction, and rank aggregation techniques. His research addresses challenges in sparse data environments and high-dimensional feature spaces, developing novel algorithms for text representation and processing. He has contributed significantly to parallel and distributed computing approaches for big data analytics. His publication trends reveal a consistent focus on NLP and machine learning applications, with recent work expanding into generative models for tabular data, medical image analysis, and advanced fault detection systems. The research demonstrates progression from foundational text processing techniques to more complex applications in healthcare, e-commerce, and software engineering. Akritidis has taught multiple courses including Big Data and Cloud Computing, Machine Learning Principles and Concepts, Mobile Application Development, and Web Programming. His research projects include CyberPi (intelligent cyber threat detection), NANOTRIM (transistor sizing optimization), and iMuSe (virtual museum platform). He collaborates extensively with researchers like Panayiotis Bozanis, Miltiadis Alamaniotis, and Athanasios Fevgas, primarily within the Greek academic community.

• Natural Language Processing
• Deep Machine Learning
• Data Mining
• +۵ مورد دیگر

Christos Tzamos is an Associate Professor in the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, and a researcher at Archimedes AI. He received his PhD from MIT and BS from National Technical University of Athens. His research bridges computer science, machine learning, statistics, and algorithmic economics. Research Focus: Machine learning theory, algorithmic mechanism design, optimization, and statistical methods with applications to economics. Current projects include active learning, adaptive information acquisition, and robust algorithm design. Awards: NSF CAREER Award (2022), NeurIPS Outstanding Paper Award (2019), George Sprowls Award for best CS PhD thesis at MIT (2017), multiple programming competition medals. Student Advising: Currently advising 4 PhD students and 1 postdoc, with 3 graduated PhD students now at Georgia Tech, Yale, and UT Austin.

• Computer Science
• Machine Learning
• Statistical Learning
• +۳ مورد دیگر

George Ioannou is a Professor of Production Management and Business Processes at the Athens University of Economics and Business, where he leads the MBA International Postgraduate Program and the Center for Business Processes and ERP Systems at the Laboratory of Management Science. Previously, he served as Assistant Professor at Virginia Tech's Department of Production and Systems Engineering. His academic journey includes a B.Sc. in Mechanical Engineering from National Technical University of Athens, an M.Sc./DIC in Industrial Robotics/Production Automation from Imperial College London, and a Ph.D. in Mechanical Engineering from the University of Maryland. Current Academic Roles: Professor, Director of MBA Program, Head of ERP Systems Center Prior Academic Roles: Assistant Professor at Virginia Tech Education: B.Sc., M.Sc./DIC, Ph.D. His research focuses on integrating web-based technologies with operational research to optimize production systems, business processes, and supply chains. This spans applications in plant spatial planning, ERP systems, and cultural heritage digitization. He has secured research funding from global organizations including NSF, European Commission, and private sector leaders like Microsoft. Scientific awards include Microsoft's Excellence in Education Award and multiple teaching excellence recognitions for MBA programs. Ioannou serves on the Technical Chamber of Greece (TEE) and the editorial board of Production Planning & Control , with extensive consulting experience for public and private sector entities.

• Production Systems
• Business Processes
• Supply Chain Optimization
• +۴ مورد دیگر

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.

• Partial Differential Equations
• Stochastic Analysis
• Nonlinear Dynamics
• +۴ مورد دیگر