جست‌وجوی استاد و پژوهشگر

Demetrios Cantzosمشاهده پروفایل

استاد

• Signal Processing
• Pattern Recognition
• Machine Learning
• +۳ مورد دیگر

Demetrios Cantzos is a Professor at the Department of Industrial Design and Production Engineering, University of West Attica. He teaches courses in signal processing, pattern recognition, and machine learning. He holds a Ph.D. (2008) from the University of Southern California (USC) and a B.S. (2002) in Physics from the University of Athens. His research focuses on signal processing applications in seismology, environmental science, and engineering systems. He has participated in US Army/NASA-funded projects (2002-2008) and EU/National programs (2009-present) addressing biomedical, energy, and agricultural challenges. Key research interests include fractal analysis of seismic and environmental signals, electromagnetic precursors, and machine learning for signal interpretation. His work combines geophysics, electrical engineering, and data science to improve earthquake prediction and environmental monitoring systems. Recent publications (2020-2025) emphasize long-memory trends in electromagnetic and radon data, multifractal analysis of seismic activity, and backprojection techniques for rupture modeling. These studies contribute to understanding earthquake dynamics and developing early warning systems. No scientific awards are explicitly listed. He advises students in signal processing and AI-related disciplines through postgraduate programs like the MSc in Artificial Intelligence and Deep Learning.

Theodoros Katsaounisمشاهده پروفایل

استاد

• Applied and Computational Mathematics
• Numerical Solution of Partial Differential Equations
• Mathematical Modeling
• +۵ مورد دیگر

Theodoros Katsaounis is a Professor in the Department of Mathematics at the University of Crete , specializing in Applied and Computational Mathematics . His work focuses on numerical solutions for partial differential equations, mathematical modeling, and machine learning applications in fluid dynamics and renewable energy systems. Education : PhD from the University of Tennessee, Knoxville (1994) His research spans Computational Fluid Dynamics , Wave Propagation , and Renewable Energy Technologies , particularly solar cell modeling and forecasting. He has developed advanced numerical schemes for Schrödinger-Poisson systems, shallow water equations, and elastodynamics. Recent publications highlight machine learning integration for solar irradiance forecasting and error estimation in discontinuous Galerkin methods. He leads the Applied Mathematics Laboratory at the University of Crete, contributing to interdisciplinary research in fluid dynamics and energy systems. Current projects include wind-forced ocean wave simulations and performance assessment of photovoltaic technologies under desert climates. His email is available at thodoros.katsaounis@uoc.gr .

Ronghui Guمشاهده پروفایل

دانشیار

• Programming Languages
• Operating Systems
• Blockchain
• +۷ مورد دیگر

Ronghui Gu is the inaugural Tang Family Associate Professor of Computer Science at Columbia University's Fu Foundation School of Engineering and Applied Science. He leads a research group focused on building verified systems software and serves on program committees for major conferences including PLDI, POPL, OSDI, and SOSP. His educational background includes: Ph.D. in Computer Science from Yale University (2016), where he received the Distinguished Dissertation Award B.S. in Computer Science from Tsinghua University (2011), graduating with Highest Distinction (3 out of 140) Gu's research centers on certified software systems, spanning programming language design, OS kernel development, formal semantics, compiler development, proof engineering, and concurrency. His work bridges theoretical foundations with practical systems, particularly in the areas of formal verification for operating systems, distributed protocols, and quantum computing. He has pioneered approaches that combine formal methods with machine learning techniques to automate verification tasks that were previously intractable. Analysis of his publication record shows a clear trajectory from foundational work on verified operating systems (CertiKOS, mCertiKOS) to broader applications in distributed systems (DistAI, DuoAI), quantum computing (Gleipnir, Giallar, HyperQ), and blockchain security. His recent work increasingly focuses on automation techniques that make formal verification practical for real-world systems. His notable achievements include: OSDI Jay Lepreau Best Paper Award (2021) SOSP Best Paper Award (2019) Multiple Amazon Research Awards (2021-2025) NSF CAREER Award (2023) VMware Systems Research Award (2023) CACM Research Highlight Gu has secured substantial research funding including a $4.5 million DARPA grant for Verified Enclave Layers. He has advised numerous PhD students who have gone on to positions at top institutions and companies. As founder of CertiK, a Web3 cybersecurity unicorn valued at $2 billion, he has successfully translated academic research into real-world impact, securing over $300 billion in cryptocurrency assets. His lab maintains active collaborations with industry partners including VMware, AWS, Google, and quantum computing companies, focusing on making formal verification practical for critical systems.

Frank Muellerمشاهده پروفایل

استاد

• Parallel Computing
• Quantum Computing
• Real-Time Systems
• +۵ مورد دیگر

Frank Mueller is a Professor in the Department of Computer Science at North Carolina State University's College of Engineering. He maintains an active research and teaching profile with upcoming courses scheduled through 2025, including Parallel Systems (CSC 548), Embedded/Real-Time Systems for Autonomous Driving with Machine Learning, and Quantum Computing. His research interests span multiple cutting-edge computing domains. Mueller is a member of The NSF Quantum Leap Challenge Institute for Robust Quantum Simulation His work bridges theoretical computer science with practical applications in high-performance computing environments. Professor Mueller has been actively involved in numerous conferences including PLDI, PPoPP, LCTES, and IEEE Quantum Week events through 2026, serving on program committees and organizing workshops related to quantum computing and high-performance systems. His teaching portfolio demonstrates significant expertise across multiple domains of computer systems, with courses ranging from foundational operating systems to advanced quantum computing. He has developed specialized teaching resources including the Arc Cluster for parallel systems education and maintains active connections with industry through equipment donations from companies like ARM, Google, and Microsoft.

Pavlos Petoumenosمشاهده پروفایل

استادیار

• Compiler Optimization
• Runtime Systems
• Energy Efficient Computing
• +۶ مورد دیگر

Pavlos Petoumenos is a Lecturer (Assistant Professor) in the Department of Computer Science at the University of Manchester and a Research Fellow of the Royal Academy of Engineering. He leads research within the Advanced Processor Technology (APT) group, focusing on compiler optimization and energy-efficient computing. Previously, he worked as a Research Associate and Senior Researcher at the University of Edinburgh under Hugh Leather. His research centers on compilers, runtime systems, and development tools designed to help programmers write fast, energy-efficient programs with minimal effort. With electronic systems consuming 10% of global electricity (projected to reach 20% by 2030), his work addresses the critical challenge of bridging the complexity gap between programmers and modern energy-efficient hardware. Key research areas include compiler optimization, machine learning applications in compilation, code size reduction, and quantum-classical programming integration. His recent publications reveal strong trends in applying machine learning to compiler optimization, particularly through active learning techniques and deep learning models. The research spans multiple domains including function merging, branch fusion, loop transformations, and energy profiling, with significant contributions to quantum programming language design. His work consistently targets real-world applications in multicore processors and interactive mobile environments. Award highlights include: Best Paper Award at CGO 2019 Distinguished Paper Award at ISSTA 2018 Best Paper Award at PACT 2017 Best Paper Award at CGO 2017 Best Paper Award at IISWC 2014 Royal Academy of Engineering Research Fellowship Petoumenos actively contributes to the research community through mentoring PhD students, organizing the biennial International Workshop on Code Optimisation for Multi and Many-Cores (COSMIC), and co-hosting the Compucast podcast where he serves as chief editor. His collaborations span multiple institutions including the University of Edinburgh, University of Lancaster, and University of St Andrews. He has secured significant research impact through tools like BenchPress and F3M that address practical challenges in compiler design and optimization. He leads the Advanced Processor Technology group and contributes to the Compucast podcast, which features interviews with computer science researchers, academic and industry news, and technical discussions. The podcast represents a collaboration between multiple UK universities and serves as an important outreach platform for computer science research.

• 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.

Omiros Ragosمشاهده پروفایل

دانشیار

• Computational Mathematics
• Dynamical Systems
• Special Functions
• +۵ مورد دیگر

Omiros Ragos is an Associate Professor at the Department of Mathematics , University of Patras , specializing in Computational Mathematics and Informatics. His research spans celestial mechanics , nonlinear dynamics , and numerical methods for differential equations and special functions. He teaches undergraduate courses in Object-Oriented Programming (C++) , Mathematical Foundations of Computation , and postgraduate courses in Databases and Data Mining as part of the MSc in Computational and Analytical Statistics in Data Science. Education : Ph.D. in Mathematics (1989, University of Patras) B.Sc. in Mathematics (1980, University of Patras) Research Contributions : Developed numerical algorithms for equilibrium point computation in dynamical systems Advanced computational methods for Bessel and Airy functions Explored Yukawa-type gravitational corrections in satellite dynamics Analyzed periodic orbits in photogravitational restricted three-body problems Software Development : Co-developer of RFSFNS and ZEBEC packages for root-finding in special functions Recent Publications : 2013: Studied logarithmic gravitational potential corrections 2012: Analyzed Dvali-Gabadadze-Porrati gravity effects 2011: Investigated Yukawa potential impacts on radar signals and celestial periods

Christodoulopoulos Konstantinosمشاهده پروفایل

استادیار

• Optical Communications
• Networking
• Machine Learning
• +۷ مورد دیگر

Christodoulopoulos Konstantinos is an Assistant Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on optical communications, networking, and machine learning applications in network optimization. He has contributed to advancements in resource allocation, quality of transmission (QoT), and cybersecurity through quantum key distribution (QKD). His work includes field demonstrations of encrypted networks, techno-economic studies in metro-core systems, and scalable industrial network solutions. Education details are not explicitly provided in the text, but his academic role suggests a Ph.D. in a related field. Key research interests span optical network design, SDN-enabled architectures, and hybrid optical-electrical data centers (e.g., NEPHELE projects). He has published extensively on topics like slotted optical datacenter networks, machine learning for QoT estimation, and marginless optical network operations. Notable contributions include experimental demonstrations of disaggregated white-box networks, real-time SDN control frameworks, and collaborative projects with institutions like the University of Patras. His work emphasizes practical implementations, such as industrial-grade PONs and fault localization in optical networks.

Constantinos Valagiannopoulosمشاهده پروفایل

استادیار

• Electromagnetic Theory
• Photonics
• Metamaterials
• +۴ مورد دیگر

Constantinos Valagiannopoulos is an Assistant Professor at the Division of Electromagnetics, Electrooptics and Electronic Materials, School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Greece. Previously, he served as a faculty member at Nazarbayev University, Kazakhstan (2015–2023). His research focuses on metamaterials, photonics, quantum systems, and inverse design, leading the Metamaterials Modeling and Design Group. He holds a Dipl. Eng. (Hons.) in Electrical Engineering (2004) and a Ph.D. in Electromagnetic Theory (2009) from NTUA. Education: Dipl. Eng. (Hons.), Electrical Engineering, NTUA (2004) Ph.D., Electromagnetic Theory, NTUA (2009) Research Interests: Electromagnetic Theory Photonics Metamaterials Graphene Inverse Design Quantum Scattering and Engineering His work spans photonic device design, quantum systems, and metamaterial-based technologies. Recent publications highlight advancements in nonlinear twistronics, AI-driven inverse design, and ultra-selective optical filtering. He has authored/co-authored over 130 peer-reviewed papers and secured over $4M in research grants as PI/co-PI. Awards: 2015 JOPT Research Excellence Award 2008 Dimitri Chorafas Foundation Prize (Best Doctoral Thesis) 2020 NU Teaching Award Advising & Grants: Led projects in metamaterials, quantum systems, and plasmonics. Collaborated with institutions like Harvard, UT Austin, and University of Southampton. Active in securing national/international funding for interdisciplinary research. Labs/Teams: Metamaterials Modeling and Design Group at NTUA, with partnerships in quantum polaritronics and theoretical materials science.

Ioannis Remediakisمشاهده پروفایل

استادیار

• Electronic Structure Theory
• Nano-Chemistry
• Heterogeneous Catalysis
• +۷ مورد دیگر

Ioannis Remediakis is an Assistant Professor at the Department of Materials Science and Technology, University of Crete, with a research focus on electronic structure theory and first-principles simulations of low-dimensional materials. His work bridges quantum mechanics and macroscopic properties, targeting applications in nano-chemistry (e.g., metal nanoparticles, heterogeneous catalysis) and nano-physics (e.g., 2D semiconductors, nanostructured solids). He is affiliated with the Institute for Electronic Structure and Laser at FORTH, enhancing his interdisciplinary collaboration. Education: B.S., M.S., and Ph.D. in Physics from the University of Crete (1997, 1998, 2002), with Ph.D. research conducted at Harvard University. Affiliations: University of Ioannina, Technical University of Denmark (DTU), University of Crete (since 2008), FORTH. Research Themes: Surface and edge energetics, catalytic mechanisms, stability of 2D materials, and machine learning for nanoparticle morphology. His recent publications highlight trends in perovskite sensors, high-entropy alloys, transition metal dichalcogenides, and polymer nanocomposites. These works emphasize computational modeling, environmental applications, and energy-related materials. Despite no explicit scientific awards listed, his extensive publication record underscores significant contributions to materials science and nanotechnology.

• Quantum Computing
• Quantum Simulation
• Quantum Machine Learning
• +۳ مورد دیگر

Dimitris Angelakis is a full Professor of Quantum Physics and Quantum Computing at the School of Electrical and Computer Engineering (ECE) at the Technical University of Crete (TUC), where he has been a tenured faculty member since December 2007. He is currently on leave from TUC while maintaining his position. He also serves as a Visiting Professor at the Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS). His professional roles include being the Greek representative in the Quantum Community Network (QCN) of the European Flagship in Quantum Technologies and a member of the National Council for Research Technology and Innovation of Greece since 2020. Angelakis completed his B.Sc. in Physics at the University of Crete (1993-1997), where he graduated 2nd in a class of 100 students. He earned his M.Sc. in Theoretical Physics with specialization in Atomic and Molecular Physics from the University of Crete (1997-1998), followed by a Ph.D. in Theoretical Quantum Optics from Imperial College London (1998-2002), supervised by Professor Sir Peter Knight FRS. His doctoral thesis received the 2002 Institute of Physics UK Quantum Electronics Theses Award. His research focuses on quantum simulation and computation, quantum machine learning and optimization, and applications of quantum computing to industrial problems. His group works on quantum technologies with a focus on implementations of quantum computation and quantum simulation with quantum optical systems, with research applicable to developing high-performance quantum processors and simulators and fundamental science in strongly correlated quantum systems. His recent work spans quantum algorithms for vehicle routing, quantum chemistry, nonlinear dynamics, and applications of topological data analysis to quantum physics. Angelakis has received numerous prestigious awards including the Google Quantum Innovation Award (2018), the Greek Ministry of Defense Distinguished Young Greek Scientist Award (2004), and the Institute of Physics UK Quantum Electronics and Photonics Thesis Prize (2002). He has served on editorial boards for European Physical Journal: Quantum Technology and Advanced Quantum Technology, and has been an evaluator for research proposals submitted to various European funding bodies. As an educator and mentor, Angelakis has supervised numerous PhD students including Chee Chong Hian (2024), Benjamin Tan (2023), Supanut Thanasilp (2022), and Jirawat Tangpanitanon (2019), among others. His group has secured significant research funding from collaborations with industry partners including Google, ExxonMobil, and Thales. His laboratory at CQT focuses on quantum computation and quantum simulation with near-term quantum devices for industry and business applications.

• Cybersecurity
• Distributed Systems
• P2P Applications
• +۶ مورد دیگر

Evangelos Markakis is an Assistant Professor at the Department of Information & Communication Systems Engineering (Hellenic Mediterranean University) with over 20 years of experience in Cybersecurity, Distributed Systems, and Fog Computing . His career spans roles in the Research & Development of Telecommunications Systems Laboratory 'PASIPHAE', 'Pagni' Hospital (Network Architect), and Horizon 2020 projects as Dissemination Manager (FORTIKA) and Technical Manager (EMYNOS). He holds a PhD in P2P Constellations in Broadband Networks (University of the Aegean) and has contributed to 60+ publications (H-index 11). BSc (2003): Applied Informatics & Multimedia, Technological Educational Institute of Crete MSc (2005): Data Communication Systems, Brunel University PhD (2014): P2P Constellations in Broadband Networks, University of the Aegean His research focuses on Secure Network Virtualization (SDN/NFV), Quantum-Resistant Cryptography , and AI-Driven Cybersecurity . Recent work explores 6G Network Security , UAV Communication Protection , and Privacy-Preserving Healthcare Systems . Key project involvements include: H2020-FORTIKA (GA740690): Dissemination Manager H2020-SMILE (GA740931): Researcher H2020-SPHINX: Security Architect Scientific contributions: Editor of IET Book on 'Cloud and Fog Computing in 5G Mobile Networks' Workshop Co-Chair: IEEE SDN-NFV Conference Initiator of CYBERSEC4HEALTH Workshop (EU TDS-02-2018 Projects) Active in IEEE and IEEE ComSoc He has led work packages in 20+ EU/Greek research projects, with expertise in IoT Security Frameworks , Federated Learning , and Quantum Communication Analysis .

• 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.

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.

Niki Saoulidouمشاهده پروفایل

دانشیار

• Particle Physics
• High Energy Physics
• Neutrino Physics
• +۴ مورد دیگر

Niki Saoulidou is an Associate Professor at the Physics Department of the National and Kapodistrian University of Athens (NKUA), Greece. She joined NKUA in 2011 as an Assistant Professor and was promoted to Associate Professor in June 2018. Her research focuses on experimental particle physics through major international collaborations including CMS at CERN and DUNE at Fermilab. She earned her Bachelor's degree (1996) and PhD (2003) from the University of Athens, with her doctoral research conducted on the DONUT experiment at Fermilab that first observed the tau neutrino. Prof. Saoulidou's research spans several interconnected domains: Neutrino Physics : Pioneering work on DONUT (tau neutrino discovery), MINOS (neutrino oscillations), and contributions to NOvA and DUNE experiments Jet Physics & QCD : Developed Particle Flow jet identification for CMS, led Jet Algorithms and Standard Model Physics with Jets groups Exotic Particle Searches : Dark matter, extra dimensions, and heavy resonances using dijet/multi-jet events Detector Development : Key contributions to CMS High Granularity Calorimeter design for HL-LHC Higgs Physics : Current focus on Higgs property measurements with Run 3 data Her recent publications (2024-2025) predominantly analyze LHC proton-proton collisions, featuring studies of jet production mechanisms, exotic particle searches, Higgs physics, neutrino detection techniques, and precision QCD measurements. Over 75% utilize CMS or DUNE data, reflecting her dual experimental focus. Significant scientific recognition includes: Fermilab Wilson Fellowship (2006-2009) - prestigious early-career award She leads the NKUA particle physics group and holds multiple leadership positions: Chair of international Long-Baseline Neutrino Committee (LBNC) since 2023 Ex-officio member of Fermilab Physics Advisory Committee Former CMS roles: Jet Algorithms co-convener (2010-2012), Standard Model Physics with Jets co-convener (2012-2014), Exotica co-convener (2018-2021) Current CMS Conference Committee and Diversity Office member