جست‌وجوی استاد و پژوهشگر

Iraklis Simosمشاهده پروفایل

دانشیار

• Photonics
• Optical Networks
• Fiber Optics Sensing
• +۴ مورد دیگر

Iraklis Simos is an Associate Professor in the Department of Electrical and Electronics Engineering at the University of West Attica, where he is a member of the WaveComm laboratory. Previously, he served as a Lecturer in the Department of Electronics Engineering at the Technological Education Institute of Piraeus (2012–2018) and conducted research at the Optical Communications Laboratory of the National and Kapodistrian University of Athens (2002–2012). He holds a B.Sc. in Informatics, M.Sc. in Telecommunications Engineering, and Ph.D. in Photonic Devices from the National and Kapodistrian University of Athens (1998–2007). His research focuses on semiconductor and fiber laser dynamics, ultrafast lasers, photonic devices for optical networks, and advanced fiber-optic sensing techniques such as Distributed Acoustic Sensing (DAS) and Microwave Frequency Fiber Interferometry (MFFI) for earthquake monitoring. His work integrates theoretical modeling, experimental validation, and applications in telecommunications, environmental sensing, and infrastructure monitoring. With over 60 peer-reviewed publications, his contributions span high-speed communication systems, optical signal processing, and novel fiber-optic sensor technologies. Recent studies emphasize leveraging commercially deployed fiber-optic cables for seismic monitoring in urban environments (e.g., Athens, Greece), demonstrating the potential of DAS and MFFI for cost-effective earthquake early warning systems. His publications also address synchronization dynamics in laser frequency combs, fiber Bragg grating interrogation, and nonlinear effects in optoelectronic systems. Dr. Simos has advised numerous diploma and doctoral theses, focusing on cutting-edge topics in photonics and optical communications. His research aligns with national and European-funded projects, emphasizing translational applications of photonics in sensing and telecommunications.

Costas Smaragdakisمشاهده پروفایل

استادیار

• Numerical Analysis
• Scientific Computing
• Mathematical Modelling
• +۹ مورد دیگر

Costas Smaragdakis is an Assistant Professor in Numerical Analysis and Scientific Computing at the Department of Statistics and Actuarial - Financial Mathematics, University of the Aegean. He is also a Member of the Institute of Applied and Computational Mathematics (IACM) at FORTH. His work bridges numerical methods, machine learning, and applied mathematics, with a focus on solving complex problems in finance and oceanography. Research Interests : Numerical Analysis Scientific Computing Mathematical Modelling Deep Learning Machine Learning Applications to PDEs/PIDEs Recent Research Trends : His articles highlight a strong focus on integrating deep learning with traditional numerical methods for functional minimization, PDE/PIDE solutions, and financial applications. Earlier work emphasizes acoustic signal processing, inverse problems in oceanography, and wavelet-based analysis. Events : Organized a mini-symposium on Machine Learning Methods in Finance (ICCF24, Amsterdam) and attended international workshops in Canada and Greece. Contact : kesmarag@aegean.gr , kesmarag@iacm.forth.gr , Office A5, Vourlioti Building, Karlovassi, Samos, Greece.

• Large-scale Scientific Computing
• Computational Linear Algebra
• Parallel and Distributed Processing
• +۴ مورد دیگر

Professor Efstratios Gallopoulos is a faculty member at the Department of Computer Engineering & Informatics , University of Patras, where he holds the Division of Computer Software . He currently serves as Deputy Department Chair and Director of the High Performance Information Systems Laboratory (HPCLab) . His academic career spans multiple institutions including the University of Illinois at Urbana-Champaign, University of California Santa Barbara, and collaborations with INRIA Rennes and NASA Goddard Space Flight Center. Education : B.Sc. in Mathematics (First Class Honours) from Imperial College London (1979) Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (1985) Research Focus : His work centers on Large-scale Scientific Computing with emphasis on Computational Linear Algebra , Parallel/Distributed Processing , and Data Mining . Recent publications highlight innovations in Randomized Numerical Linear Algebra , Heterogeneous Cluster Scheduling , and GPU-Accelerated Inversion Techniques . Article Trends : His research bridges High-Performance Computing with Data Science , focusing on scalable algorithms for Matrix Computations , Recommender Systems , and Biomarker Analysis . The work spans theoretical advancements (e.g., Givens Rotations ) and practical implementations (e.g., pylspack library). Scientific Awards : NASA Group Achievement Award for Massively Parallel Processor (MPP) development ACM SIGWEB Hypertext Ted Nelson Newcomer Award (2012) Advising and Grants : He has advised numerous research projects funded by European Research Council , Hellenic Foundation for Research and Innovation (HFRI) , and international bodies like the US National Science Foundation. Notably, he co-organized the 2015 Gene Golub SIAM Summer School and served as Chair of the SIAM Gene Golub Summer School Committee (2020-24). Labs and Teams : He leads the High Performance Information Systems Laboratory (HPCLab) and co-directs the interdisciplinary graduate program Data Driven Computing and Decision Making . His teams have contributed to the Cedar vector multiprocessor project at UIUC and Text-to-Matrix Generator (TMG) tools for data mining.

Nickos Papadatosمشاهده پروفایل

استاد

• Probability Theory
• Mathematical Statistics
• Statistical Inference
• +۳ مورد دیگر

Nickos Papadatos is a Professor in Probability and Statistics at the Department of Mathematics, National and Kapodistrian University of Athens. His research focuses on probability theory, mathematical statistics, and statistical inference, with particular emphasis on order statistics, distribution theory, and variance inequalities. He has an extensive publication record, including works on estimation methods for Gamma and Beta distributions, properties of order statistics from exchangeable variables, and applications of characteristic functions. His research interests span advanced topics such as Poisson approximation, moment inequalities, and stochastic processes. He has contributed to foundational areas like the analysis of record values, Laplace transform inversion, and the study of discrete distributions such as the Cauchy distribution. Papadatos' work often integrates theoretical probability with practical statistical methodologies, addressing problems in sufficiency, limit theorems, and risk analysis. His CV and job analysis documents highlight his academic contributions and teaching roles. No specific awards or grants are explicitly listed, though his prolific publication history reflects his scholarly impact. He maintains a dedicated Students' Page, though specific advisee names are not provided in the available texts. His research is characterized by rigorous mathematical analysis and applications to statistical theory.

• Personalized Software Technology
• Mobile Device Programming
• Web Programming
• +۴ مورد دیگر

Evangelos Sakkopoulos is an Associate Professor at the Department of Computer Science, University of Piraeus, specializing in Custom Software Technology. He holds a PhD from the Department of Computer Engineering and Informatics at the University of Patras. His research focuses on personalized software systems, mobile programming, web development, and data privacy solutions. He has contributed over 60 publications in international journals and conferences, with expertise in frequent itemset hiding algorithms, AI-driven e-learning systems, and smart home security technologies. Education: PhD in Computer Engineering and Informatics (University of Patras) Research interests include: Personalized Software Technology Mobile Device Programming Web Programming Data Privacy and Security Machine Learning Applications His work spans e-government systems, maritime surveillance technologies, and cultural heritage preservation through AI. Recent projects address challenges in digital identity management, EU policy compliance, and adaptive learning environments. Over 150 academic publications reflect his contributions to privacy-preserving data mining, smart home safety, and mobile healthcare systems.

Spyridon Kamvissisمشاهده پروفایل

استاد

• Mathematical Physics
• Integrable Systems
• Nonlinear Partial Differential Equations
• +۴ مورد دیگر

Spyridon Kamvissis is a Professor of Integrable Systems in Mathematical Physics at the University of Crete and a Member of the Institute of Applied and Computational Mathematics at the Foundation for Research & Technology - Hellas (FORTH). His office is located in room Δ338 of the Mathematics Building at the University of Crete campus in Voutes, Greece, with contact telephone +30 2810 393714. His academic credentials include: Ph.D. from the Courant Institute (1991) Habilitation from the University of Paris VII (Jussieu) (1996) Kamvissis specializes in infinite dimensional Hamiltonian systems that admit a Lax pair or zero curvature condition, which can be studied via inverse scattering/spectral methods. His research focuses on mathematically rigorous treatments of asymptotic problems for nonlinear dispersive systems, including long time behavior, semiclassical limits, and continuum limits of solutions to partial differential equations and nonlinear lattices. He has developed what he describes as a "nonlinear/non-commutative microlocal analysis" that extends classical stationary phase and steepest descent methods. His publication record shows a clear evolution from foundational work on the Toda lattice (1993-1996) through nonlinear Schrödinger equation studies (2003-2016) to his current focus on semiclassical WKB problems for non-self-adjoint Dirac operators (2020-2024). His approach integrates techniques from PDE theory, complex analysis, harmonic analysis, potential theory, and algebraic geometry, with particular attention to sophisticated models displaying instabilities. Professor Kamvissis maintains an active teaching schedule with courses planned through Spring 2026, including RIEMANN-HILBERT METHOD (Spring 2024), VON NEUMANN ALGEBRAS (Fall 2024), DIFFERENTIAL GEOMETRY (Spring 2025), RIEMANNIAN GEOMETRY (Fall 2025), and STOCHASTIC CALCULUS (Spring 2026).

• Particle Physics
• Astrophysics
• Dark Matter Detection
• +۷ مورد دیگر

Anastassopoulos Vassilis is a Professor at the University of Patras, affiliated with the Department of Electronics and Computers within the School of Natural Sciences. His research spans particle physics, astrophysics, and applied technologies such as remote sensing and medical imaging. He leads experimental efforts in axion detection via the CAST helioscope and explores dark matter signatures in geophysical and astrophysical contexts. His work integrates cutting-edge techniques like neural networks for image processing and decision fusion algorithms for data analysis. Research interests focus on dark matter axions, solar physics, and interdisciplinary applications including land cover classification using SAR imagery, thermal intoxication detection, and super-resolution imaging. He contributes to collaborations such as the Proton EDM experiment and the pEDM project, aiming to uncover new physics beyond the Standard Model. His expertise bridges theoretical models with experimental validation, addressing questions in fundamental physics and applied engineering. Key areas include: particle physics experiments (axion searches, proton EDM), environmental monitoring via remote sensing (coastal change detection, ship identification), biomedical imaging (OCT analysis, thermal facial features), and algorithm development (neural networks, inverse problems). His work frequently employs advanced computational methods and interdisciplinary approaches.

• Algorithms and Complexity
• Graph Theory and Applications
• Computer Networks and Internet
• +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.

Yiannis Saridakisمشاهده پروفایل

استاد

• Applied Mathematics
• Scientific Computing
• Parallel Algorithms
• +۸ مورد دیگر

Professor Yiannis Saridakis serves as a Professor in the Department of Sciences at the Technical University of Crete, leading the Applied Mathematics and Computers Laboratory. He holds a Mathematics degree from the University of Crete (1981) and M.Sc./Ph.D. in Applied Mathematics & Computer Science from Clarkson University (1983/1985). His research focuses on numerical methods, parallel algorithms, stochastic optimization, cellular automata, and AI applications. He has coordinated projects like the TU Crete Library portal and digitization initiatives. His work bridges computational mathematics with environmental, biomedical, and engineering challenges. Education B.Sc. Mathematics, University of Crete (1981) M.Sc. Applied Mathematics & Computer Science, Clarkson University (1983) Ph.D. Applied Mathematics & Computer Science, Clarkson University (1985) Research Interests His research spans Recursive Linear Systems Solving , Numerical Methods for PDEs , Parallel Computing Architectures , Stochastic Optimization (e.g., adaptive optics, aquifer management), Cellular Automata , and Artificial Intelligence applications like agent-based systems and ambient intelligence. Key Contributions Prof. Saridakis pioneered GPU-accelerated Hermite collocation methods, Fokas transform applications in tumor modeling, and ALOPEX stochastic optimization for water resource management. He has published >50 papers in top journals and conference proceedings. Labs & Leadership Director of the Applied Mathematics and Computers Laboratory . Former Department Chair (1997–1999) and Vice-Rector (1999–2005) at TU Crete.

• Electromagnetic Scattering
• Chiral Materials
• Inverse Problems in Mathematics
• +۳ مورد دیگر

Christodoulos Athanasiadis is a Professor at the Department of Mathematics, National and Kapodistrian University of Athens. His research focuses on electromagnetic scattering, chiral materials, inverse problems, and wave propagation. He has supervised numerous doctoral theses and teaches advanced mathematics courses such as Infinitesimal Calculus and Partial Differential Equations. His work involves theoretical developments and applications in materials science and mathematical physics. Education: Implied academic background through his research and professorship, though explicit details not provided. Research Interests: Electromagnetic Scattering in Chiral and Multi-layered Media Inverse Scattering Problems Wave Propagation in Stratified Media Boundary Integral Equations Low-Frequency Approximations Publications: Over 60 peer-reviewed articles in journals like Math. Methods Appl. Sci., IMA J. Appl. Math., and SIAM J. Appl. Math., focusing on scattering theory and chiral materials. Grants: Led projects such as the 'Mathematical Analysis of Wave Propagation in Chiral and Elastic Materials' (Pythagoras II) and collaborations with UK institutions. Labs/Teams: Active in the Department of Mathematics' research groups on applied analysis and mathematical physics.

Leonidas Mindrinosمشاهده پروفایل

استادیار

• Inverse Problems
• Partial Differential Equations
• Applied Mathematics
• +۷ مورد دیگر

Leonidas Mindrinos has been an Assistant Professor at the National Technical University of Athens (NTUA) since February 2023, specializing in Partial Differential Equations. His academic career includes postdoctoral research at NTUA's School of Applied Mathematics and Physical Sciences (2022), the University of Vienna's Mathematics Department (2019-2022), and the Johann Radon Institute (RICAM) (2018-2019). He served as an assistant professor at the University of Vienna (2013-2018). Education: PhD in Mathematics (University of Vienna, 2018) Doctorate in Applied Mathematics (National and Kapodistrian University of Athens, 2011) MSc in Applied Mathematics (National and Kapodistrian University of Athens, 2007) BSc in Mathematics (National and Kapodistrian University of Athens, 2006) His research focuses on inverse problems, scattering theory, and mathematical modeling of physical systems. Key areas include soil physics , optical coherence tomography , and elastodynamics , with applications in environmental engineering, biomedical imaging, and computational physics. He has developed numerical methods for infiltration parameter estimation, inverse scattering in OCT, and coupled parabolic-hyperbolic transmission problems. Recent publications highlight his work on soil infiltration modeling , electromagnetic wave scattering , and quantitative imaging techniques . These span mathematical formulations, numerical simulations, and experimental validation in agricultural engineering and biomedical contexts.

Michael Taroudakisمشاهده پروفایل

استاد

• Wave Propagation
• Mathematical Modeling
• Acoustical Oceanography
• +۴ 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.

• Computational Mechanics
• Structural Optimization
• Nonsmooth Mechanics
• +۵ مورد دیگر

Professor Georgios E. Stavroulakis is a distinguished academic at the Technical University of Crete, where he serves as Professor in the Department of Production Engineering and Management within the School of Production Engineering and Management. He is also the Head of the Institute of Computational Mechanics and Optimization (Co.Mec.O) at the university. Additionally, he holds the position of Honorary Professor at the Department of Civil Engineering at the Jordan University of Science and Technology, and has qualifications as Privatdozent for Mechanics at the Carolo Wilhelmina Technical University in Braunschweig, Germany. His educational background includes: Diploma of Civil Engineering with highest honours (9.20/10) from Aristotle University of Thessaloniki, Greece (1985) PhD with honours from Department of Civil Engineering, Aristotle University of Thessaloniki, Greece (1991) Habilitation and venia legendi for mechanics from Carolo Wilhelmina Technical University, Braunschweig, Germany (2000) Professor Stavroulakis has made significant contributions to the fields of Computational Mechanics, Optimization, and Structural Analysis. His research focuses on nonsmooth and nonconvex mechanics problems, optimal design of materials and structures, solution of inverse problems, design of smart structures, and application of soft computing methods (neuro-fuzzy systems) in mechanics. His scholarly output demonstrates a clear trend toward integrating machine learning techniques with traditional computational mechanics approaches, particularly through physics-informed neural networks and data-driven computational homogenization, while maintaining strong work on masonry structures, smart materials, and vibration control. His notable recognitions include: Co-Editor of the Book Series on Stability, Vibration and Control of Systems (World Scientific Publishers) Member of the Editorial Board for Journal of Global Optimization Member of the Advisory Board for Book Series Nonconvex Optimization and Its Applications Elected member of the executive board of the Hellenic Society of Theoretical & Applied Mechanics Former president of the Greek Association of Computational Mechanics As an educator, Professor Stavroulakis has taught undergraduate and postgraduate courses at the Technical University of Crete since 2006, covering mechanics, optimization, and computational methods. He has supervised numerous students and organized major academic conferences including the 9th GRACM International Congress on Mechanics (2018) and the 10th HSTAM International Congress on Mechanics (2013). His laboratory, Co.Mec.O, serves as a research hub for computational mechanics and optimization at the Technical University of Crete, developing theory, algorithms, and software for structural analysis and computational mechanics problems.

• Operating Systems
• Parallel Computing
• Scheduling in Parallel Systems
• +۳ مورد دیگر

Venetis Ioannis is an Assistant Professor at the Department of Informatics, School of Information and Communication Technologies, University of Piraeus. His research focuses on operating systems, parallel computing, and high-performance computing applications in seismology and computational neuroscience. His research interests include: Operating Systems Parallel Computing Models Scheduling in Parallel Systems Real-Time Parallel Applications Seismology and Computational Neuroscience GPU and Many-Core Optimization Recent publications highlight his work on heterogeneous cluster scheduling, GPU-based neuronal modeling, and seismic event detection using grid search algorithms. Venetis has participated in European and national research programs related to parallel computing and high-performance applications. He teaches courses such as Operating Systems, Parallel Processing, and Assembly Language Programming, with a focus on practical implementations in high-performance environments.

Efstathios Stiliarisمشاهده پروفایل

دانشیار مدعو

• Experimental Nuclear Physics
• Medical Imaging
• Artificial Intelligence and Machine Learning
• +۵ مورد دیگر

Efstathios Stiliaris is an Experimental Nuclear Physicist at the Department of Physics of the National & Kapodistrian University of Athens since 2016, where he also served as Acting Head of the Nuclear and Particle Physics Laboratory until 2022. He concurrently holds the position of Adjunct Associate Professor at The Cyprus Institute in Nicosia, Cyprus since 2013, leading the research group at the SPECT Laboratory (SPECT-Lab). His primary research focuses on experimental nuclear physics, medical imaging technologies, and hadronic physics, with a strong emphasis on developing advanced imaging modalities such as SPECT, Compton cameras, and AI-driven solutions for radiological diagnostics. His expertise spans radiation detection technologies, including gamma-camera systems, thermal tomography, and the development of dual-modality contrast agents for SPECT/MRI and PET/MRI applications. He has pioneered novel reconstruction algorithms like RISE and ComptonRec, addressing challenges in image quality enhancement and inverse problem solutions. His work bridges nuclear physics fundamentals with clinical applications, leveraging machine learning for therapeutic and diagnostic advancements. Key contributions include optimizing semi-pixelated scintillation crystals for planar imaging, exploring proton structure through pion photoproduction analyses, and advancing thermal tomography through physics-informed neural networks. His multidisciplinary approach integrates computational physics, material science, and biomedical engineering to address unresolved challenges in medical imaging instrumentation and radiation detection systems. Stiliaris has collaborated on projects involving the CMS Collaboration at CERN and contributed to experimental methodologies for thermal loss estimation in molten salt energy systems. His research group maintains active involvement in both fundamental physics and translational medical imaging technologies, emphasizing lab-to-clinic transitions through rigorous validation protocols and novel experimental setups.