جستجوی استاد راهنمای دانشگاهی

Efthimios S. Skordasمشاهده پروفایل

دانشیار

• Geophysics
• Seismicity Analysis
• Natural Time Analysis
• +۳ مورد دیگر

Efthimios S. Skordas is an Associate Professor of Experimental Solid State Physics at the Department of Physics, National and Kapodistrian University of Athens. Born in Lefkada, Greece in 1960, he holds a Mathematics degree (1984) from the University of Crete and a Doctorate (1992) from Uppsala University, Sweden. His research focuses on seismicity analysis through the lens of natural time analysis, complex systems, and non-extensive statistical mechanics. University of Crete (1984, Mathematics) Uppsala University (1992, Doctorate) His work demonstrates deep expertise in earthquake prediction, detection of pre-seismic anomalies through geoelectric/magnetic field variations, and entropy dynamics under time reversal. Recent publications highlight applications of natural time analysis to diverse domains including cardiovascular health monitoring. He has authored over 120 peer-reviewed publications and two monographs, with an h-index of 32. Skordas' research bridges geophysics with interdisciplinary applications, showing particular emphasis on entropy fluctuations, order parameter analysis, and multi-scale seismicity patterns. His laboratory contributes to understanding the physical interconnection of seismic electric signals with earthquake dynamics.

Nicholas V. Sarlisمشاهده پروفایل

استاد

• Solid State Physics
• Seismology
• Geophysics
• +۳ مورد دیگر

Nicholas V. Sarlis is a Professor of Experimental Solid State Physics at the Department of Physics , National and Kapodistrian University of Athens since 2017. With an h-index ≥36, he has authored 2 monographs, >155 peer-reviewed publications, and 80 conference communications. B.Sc. in Physics (1991), National and Kapodistrian University of Athens Ph.D. in Physics (1997), National and Kapodistrian University of Athens His research applies Natural Time Analysis to: Earthquake precursor identification Space weather and cosmic ray studies Climate phenomenon prediction (El Niño) Fracture mechanics and complex systems Seismicity and geoelectric field correlations Non-extensive statistical mechanics applications Recent work includes analyzing seismic entropy changes under time reversal and developing earthquake nowcasting systems. Publications span 2025's Statistical mechanics in geophysical contexts to 2024's cross-disciplinary disaster prediction tools.

Haldoupis Christosمشاهده پروفایل

استاد

• Ionospheric Physics
• Plasma Instabilities
• Atmospheric Waves
• +۵ مورد دیگر

Christos Haldoupis is a retired Professor in the Department of Physics at the University of Crete, where he established his career starting in 1978. He founded and led the Laboratory of Ionospheric Physics, contributing significantly to atmospheric and space physics research for over three decades until his retirement in 2014. Education includes: B.Sc. in Physics from University of Thessaloniki (1970) Ph.D. in Ionospheric Physics from University of Saskatchewan His research focuses on ionospheric plasma physics, particularly: Dynamics of sporadic E layers and their relationship with atmospheric waves Transient luminous events (sprites/elves) and their ionospheric effects Atmospheric electricity and VLF electromagnetic wave studies Geophysical instrumentation development including radar systems He maintains active collaborations worldwide through visiting positions in Norway, Canada, Germany, France, and Japan. Publications demonstrate concentrated focus: Dominant themes in sporadic E layer formation and variability Atmospheric wave-ionosphere interactions across multiple timescales Lightning-induced electromagnetic phenomena and their ionospheric signatures Innovative ionospheric measurement techniques and algorithms Research infrastructure development includes establishing radio Doppler and interferometry systems for ionospheric monitoring. International collaborations span Europe, North America and Japan.

Emmanouil Z. Psarakisمشاهده پروفایل

دانشیار

• Image Processing
• Computer Vision
• Machine Learning
• +۷ مورد دیگر

Emmanouil Z. Psarakis is an Associate Professor at the Department of Computer Engineering & Informatics , University of Patras, Greece. Born in 1963, he has been affiliated with the university since 2005 and is a member of the Signal Processing and Communications Lab . His academic journey includes teaching courses such as Signals and Systems Theory , Digital Signal Processing , and Computer Vision and Graphics . PhD in Computer Engineering and Informatics, University of Patras (1991) Dr. Psarakis is renowned for his research in image processing , computer vision , and signal processing , with applications in biomedical imaging , seismology , and robotics . His work spans deep learning , filter design , and 3D reconstruction , reflecting a multidisciplinary approach. His 15 most recent publications (2020–2025) focus on sign language recognition , adversarial defense , 3D shape analysis , and medical imaging . These works integrate machine learning , stochastic modeling , and computer vision to address challenges in video summarization , image inpainting , and seismic signal analysis . Dr. Psarakis has supervised over 10 PhD students , including Fotini Fotopoulou (2016–2019) and Panagiotis Georgantopoulos (2020–2023). He has participated in EU-funded , Hellenic , and bilateral R&D projects related to biomedical signal processing , robot vision , and forest fire monitoring . He leads the Signal Processing and Communications Lab , which collaborates with institutions like the Computer Technology Institute and international universities. His contributions include filter design , image alignment , and stereopsis techniques , with a focus on practical implementations in telecommunications and medical diagnostics .

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.

• Optical Communications
• Quantum Cryptography
• Fiber Optic Sensing
• +۵ مورد دیگر

Nikas Thomas is an External Instructor at the Department of Informatics (DI) of the National and Kapodistrian University of Athens (NKUA). His work spans multiple interdisciplinary areas including quantum cryptography, fiber optic sensing technologies, and seismic monitoring. Key roles include advancing secure communication protocols through quantum key distribution (QKD) and developing novel Li-Fi transceivers using perovskite photodiodes. He also pioneers applications of Distributed Acoustic Sensing (DAS) for urban earthquake monitoring in Athens, leveraging existing fiber-optic infrastructure for environmental and geophysical studies. His research bridges theoretical frameworks (e.g., phase transmission analysis) with practical implementations in optical communication systems and seismic detection. Research interests focus on: Secure optical communication systems leveraging quantum principles Fiber optic-based seismic and acoustic sensing Emerging Li-Fi technologies for high-speed wireless networks Phase-sensitive fiber optic analysis for geophysical applications Publications from 2022-2024 highlight trends in: Quantum security protocols for optical and radio-over-fiber systems Urban DAS applications for earthquake monitoring Microwave frequency interferometry for low-cost seismic sensors No scientific awards are explicitly listed in the provided materials. His work often involves collaborative projects with industry and academic partners, though specific grants are not detailed here. Current projects include optimizing DAS for real-time urban seismic networks and exploring novel modulation formats for secure optical transmission.

Zafeiria Roumeliotiمشاهده پروفایل

استادیار

• Seismology
• Geophysics
• Earthquake Source Mechanics
• +۳ مورد دیگر

Zafeiria Roumelioti is an Assistant Professor at the Department of Geology, University of Patras. Her research focuses on seismology, geophysics, and earthquake engineering, with a strong emphasis on earthquake source mechanics, ground motion simulation, and seismic hazard assessment. She leads projects such as ARGONET and PROION, involving advanced geophysical instrumentation and multidisciplinary monitoring networks. Education: BSc in Geology MSc in Geophysics PhD in Seismology from Aristotle University of Thessaloniki Research Interests: Kinematic modeling of earthquake sources Site effect studies using vertical arrays Strong ground motion simulation (deterministic/stochastic) Real-time earthquake monitoring systems Nonlinear soil response during seismic events Regional seismicity and tectonic dynamics Her work integrates geophysical data from accelerometers, GNSS, and distributed sensors to improve earthquake early warning systems and infrastructure resilience. Key contributions include the ARGONET vertical array and PROION project’s multi-parametric monitoring framework.

• Environmental Geology
• Geotechnology
• Geoenvironmental Studies
• +۴ مورد دیگر

Professor Eleni Kokkinou holds a position at the Hellenic Mediterranean University (HMU) as a Professor of Environmental Geology and Geotechnology, with an affiliation to the Institute of Computer Science at FORTH. She earned her Geology degree from Aristotle University of Thessaloniki, followed by a postgraduate diploma and PhD in Applied Geophysics from the Technical University of Crete. Her research focuses on environmental geology, geotechnical studies, geodata modeling, and coastal vulnerability. She has pioneered work in remote sensing for agricultural management, oil spill modeling in the Eastern Mediterranean, and precision agriculture using UAV technology. She has supervised over 73 diploma dissertations, 5 ongoing theses, and examined multiple international M.Sc. theses in Egypt and Cyprus. Teaching includes courses on GIS, geotectonics, and geoscience software at HMU and TEI Crete. She actively contributes to committees like the Research Management Board of HMU and is a licensed UAV pilot with expertise in geophysical prospection. Her work integrates geomatics, environmental monitoring, and civil protection strategies for coastal and marine systems. Key collaborations include Cairo University and the Technical University of Crete. She has developed decision-support systems for irrigation optimization and participated in major projects like the Nereids oil spill risk assessment initiative.

Dimitrios Kantzosمشاهده پروفایل

استاد

• Signal Processing
• Pattern Recognition
• Machine Learning
• +۲ مورد دیگر

Dimitrios Kantzos is Professor at University of West Attica's Department of Industrial Design and Production Engineering. His research centers on signal processing applications for environmental monitoring, biomedical systems, and seismic forecasting. Holds a PhD from University of Southern California with prior research funded by NASA and US Army. Key research domains include pattern recognition algorithms for earthquake precursor detection, machine learning approaches to air pollution analysis, and fractal characterization of environmental time-series data. Recent work focuses on multifractal techniques for seismic risk assessment. Publications demonstrate strong methodological focus on Detrended Fluctuation Analysis (DFA) and Multifractal DFA (MFDFA) applied to geophysical and environmental datasets. Article themes cluster around signal processing innovations for natural hazard prediction. No awards, supervised students, or laboratory affiliations are documented.

Dimitrios Nikolopoulosمشاهده پروفایل

استاد

• Radiation Physics
• Environmental Sensors
• Fractal Analysis
• +۲ مورد دیگر

Dimitrios Nikolopoulos is Professor at University of West Attica specializing in radiation physics applications for environmental monitoring and seismic forecasting. Research integrates sensor technology with fractal analysis to detect earthquake precursors in radon emissions and electromagnetic signals. Key domains include: radiation detection methodologies, multifractal time-series analysis of environmental data, and sensor development for medical/industrial applications. Recent work examines radon-thoron correlations with meteorological factors using multifractal detrended cross-correlation analysis. Publications demonstrate consistent innovation in applying DFA/MFDFA techniques to geophysical datasets. Article themes cluster around signal processing approaches for natural hazard prediction and environmental radioactivity patterns. No awards or student supervision details are available.

• Electronic Circuits Design
• Nonlinear Dynamics
• Chaos Theory
• +۵ مورد دیگر

Giannakopoulos Konstantinos is a Lecturer in the Department of Physics at the University of Patras, specializing in the Electronics and Computers Sector. He also serves as Associated Educational Staff (SEP) for the Informatics Program at the Hellenic Open University (EAP). His academic journey includes a Physics Bachelor's (1991), two Master's in Electronics (1998 and 2014), and a PhD in Electronics (2003), all from the University of Patras. Fluent in English and German, he contributes to IEEE CAS Society since 1997 as a reviewer for journals like International Journal of Electronics and conferences such as NILES and EUSIPCO. Research Interests: Design of nonlinear electronic circuits (chaotic/hyperchaotic oscillators), analog cryptography applications, active filters (OTAs/OTRAs), and microcontroller systems (Arduino/ESP32). He has authored 9 books, 22 peer-reviewed publications, and developed educational materials (webcasts/EDY) for EAP. His work bridges theoretical nonlinear dynamics with practical analog circuit design, emphasizing chaos-based systems and educational technology. Professional Experience:曾担任 Western Greece Technical Institute's Laboratory Associate, Coordinator of the SEE Natural Sciences Project, and Director of Patras' 2nd EPAL. He led projects like MOSTRA (University of Patras Strategic Design) and IRREDER (Erasmus+ curriculum development). His recent focus includes FPAA design and microcontroller-based systems. Current Projects: MOCASTRA – University of Patras Strategic Design (2023) IRREDER: Integrating Recent Electrical Engineering into Curricula (2022) PYTHAGORAS II: Active Filter Design Research (2005–2007)

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.

Tsaklidis Georgiosمشاهده پروفایل

استاد

• Stochastic Processes
• Applied Statistics
• Seismology
• +۳ مورد دیگر

Georgios Tsaklidis is a Professor at the Department of Statistics and Operations Research, part of the Department of Mathematics at Aristotle University of Thessaloniki. He has held various academic positions since 1983, advancing from Scientific Associate to Professor. His expertise spans stochastic processes, applied statistics, and interdisciplinary applications in seismology, economics, and continuous media mechanics. Education: PhD in Mathematics (1983–1987), Aristotle University of Thessaloniki. Thesis: 'Asymptotic Variability in Non-Homogeneous Markovian Systems.' Master’s/Undergraduate Degree (1980), Aristotle University of Thessaloniki. Research Interests: Focuses on stochastic processes for modeling complex systems, including hidden Markov models in seismology and financial applications. His work integrates applied statistics with interdisciplinary challenges, such as earthquake cluster identification and viscoelastic medium deformation analysis. Collaborates extensively with international co-authors on methodological advancements in signal processing and econometrics. Grants/Advising: No specific grants or advising details provided in the text. His professional trajectory reflects sustained academic leadership in statistical methodologies and their real-world applications.

• 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.