جستجوی استاد راهنمای دانشگاهی

• Electromagnetic Theory
• Holographic and Diffractive Devices
• Optical Interconnects
• +۶ مورد دیگر

Elias N. Glytsis is a Professor at the National Technical University of Athens (NTUA), affiliated with the Department of Electromagnetic Applications, Electro-Optics and Electronic Materials. He previously held a Professorship at the Georgia Institute of Technology (USA) from 1988 to 2003. His research focuses on electromagnetic theory, diffractive devices, optical interconnects, quantum heteromaterials, and numerical methods for electromagnetic problems. Glytsis has published over 115 journal articles, 95 conference papers, and holds 17 U.S. patents with an h-index of 31 (as of 2017). Education: Diploma in Electrical Engineering (NTUA, 1982), M.S. and Ph.D. (Georgia Tech, 1984–1987). Professional memberships include IEEE (Senior Member), Optical Society of America (Fellow), and EURATOM-Hellenic Republic. Research highlights include work on holographic gratings, optical fiber gratings, and plasma-edge RF scattering. He has developed optimization methods for photonic devices and contributed to stochastic modeling via polynomial chaos expansions. Glytsis teaches courses on electromagnetic fields, optical science, and integrated optics at both undergraduate and postgraduate levels. Key technical contributions span microwave interconnects, quantum device modeling, and fusion plasma physics. His methodologies address challenges in material variability, waveguide design, and electromagnetic compatibility.

Efthymios N. Karatzasمشاهده پروفایل

استادیار

• Numerical Analysis
• Computational Mathematics
• Optimal Control
• +۵ مورد دیگر

Efthymios N. Karatzas serves as an Assistant Professor in the Department of Mathematics at Aristotle University of Thessaloniki, Faculty of Sciences, within the Computer Science and Numerical Analysis Section. He maintains an active research profile in computational mathematics with strong institutional affiliations including collaborations with SISSA mathLab and FORTH Institute of Applied and Computational Mathematics. His academic credentials include: PhD in Mathematics, National Technical University of Athens (2015) Master's in Applied Mathematical Sciences – Computational Mathematics, NTUA (2009) Master's in Applied Mathematics, University of Patras (2001) Bachelor's in Mathematics (Computational Mathematics), University of Patras (1999) Dr. Karatzas' research program centers on advanced numerical techniques for partial differential equations , with pioneering work in reduced order modeling , embedded boundary methods , and optimal control systems . His expertise spans computational fluid dynamics, uncertainty quantification, and biomechanical applications, characterized by methodological innovation in handling geometrically complex domains through cut finite element approaches and shifted boundary formulations. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on developing efficient numerical frameworks for parametrized PDE systems. His work consistently bridges theoretical rigor with practical implementation, particularly in advancing reduced basis methods for fluid-structure interaction and biological modeling, demonstrating significant contributions to computational mathematics through high-impact journal publications. No major scientific awards are documented in the available sources. Dr. Karatzas demonstrates research leadership through project management roles including Scientific Manager for the ELIDEK project at NTUA (2019-2021) and Project Manager for the European Social Fund HEaD initiative at SISSA (2017-2019). His grant administration experience encompasses coordinating interdisciplinary teams and securing external funding for computational mathematics research. He maintains active collaborations with the SISSA mathLab in Trieste (particularly with Prof. Gianluigi Rozza's group) and the FORTH Institute in Crete, participating in international workshops including the Reduced Order Methods in CFD Summer School (2019) and SIAM UQ conferences. His research network spans computational mathematics groups across Europe with emphasis on advancing numerical methodologies for real-world engineering and biological applications.

Stergios Tampekisمشاهده پروفایل

استادیار

• Forest Operations Engineering
• Sustainable Forest Management
• Geographic Information Systems (GIS)
• +۴ مورد دیگر

Stergios Tampekis is an Assistant Professor at the Department of Forestry and Natural Environment Management within the Faculty of Plant Sciences at the Agricultural University of Athens . His research focuses on forest operations engineering, emphasizing the optimization of human-environment interactions through Nature-Based Solutions. Based in Karpenisi, Greece, he contributes to sustainable forest infrastructure and wildfire prevention strategies. Contact: stampeki@aua.gr Phone: +30-22370-23282 Research Interests Tampekis specializes in: Environmental impact assessment of forest operations GIS-based spatial planning for fire management Development of Decision Support Systems (DSS) for forestry Resilient infrastructure planning in Mediterranean islands Integration of wildfire prevention with sustainable land use Recent Research Trends His recent publications highlight GIS-driven approaches for wildfire risk management, economic evaluation of forest infrastructure, and climate change adaptation through complex systems science. Key themes include multi-criteria analysis, spatial optimization, and sustainable resource deployment. Scientific Awards No awards listed in the provided text

• Power Systems
• Renewable Energy
• Smart Grids
• +۷ مورد دیگر

Dr. Aris Dimeas is a Researcher at the National Technical University of Athens in the Department of Electric Power and Industrial Applications . He holds a diploma and PhD in Electrical and Computer Engineering from NTUA and has extensive experience in power systems operations, renewable energy integration, and smart grid technologies. Specialized in AI applications for power systems Developed control software for demand side management Consultant for PPC (2007-2012) Research Focus : Smart grids and digital twin implementations Renewable energy market dynamics Microgrid optimization and control algorithms Collaborations : Active participant in EU research projects, collaborating with HEDNO and other energy grid operators on electronic meters and intelligent network deployments. Teaching : Instructs courses on electric energy systems, power system analysis, and energy management.

Georgios Zourarisمشاهده پروفایل

استاد

• Numerical Analysis
• Finite Element Methods
• Stochastic Partial Differential Equations
• +۳ مورد دیگر

Georgios Zouraris is a Professor at the University of Crete, where he has maintained an active research profile since earning his Ph.D. from the same institution in 1995. His work is centered in the School of Science and Engineering, focusing on advanced computational mathematics with applications in physics and engineering. Education: Ph.D. in Mathematics, University of Crete, 1995 Professor Zouraris specializes in the development and rigorous analysis of numerical methods for partial differential equations. His research spans finite element and finite difference techniques for nonlinear Schrödinger equations, logarithmic heat equations, and stochastic PDEs with space-time white noise. Key contributions include error estimation frameworks for relaxation schemes, convergence analysis of Crank-Nicolson methods, and efficiency improvements for multilevel Monte Carlo simulations. His theoretical work consistently addresses singular nonlinearities and complex domain geometries, bridging mathematical rigor with computational practicality. Analysis of his 2020-2025 publications reveals a sustained focus on high-accuracy numerical schemes for challenging PDEs, particularly those involving logarithmic singularities and stochastic forcing. Recent work demonstrates increasing sophistication in handling noncylindrical domains and coupling strategies, with applications ranging from quantum systems to material science. The publications show consistent emphasis on provable convergence rates and computational efficiency. Information regarding student advising, research grants, and laboratory facilities is not documented in the available sources. His active publication record through 2025 indicates ongoing research leadership in computational mathematics.

Papakonstantis Iliasمشاهده پروفایل

استادیار

• Environmental Engineering
• Fluid Mechanics
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Papakonstantis Ilias is an Assistant Professor at the National Technical University of Athens (NTUA) , affiliated with the School of Civil Engineering and the Department of Water Resources and Environmental Engineering . His research focuses on environmental fluid mechanics, computational fluid dynamics (CFD), and hydraulic systems modeling.

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.

Panagiotis Hadjidoukasمشاهده پروفایل

دانشیار

• Parallel Computing
• Distributed Systems
• High Performance Computing
• +۳ مورد دیگر

Panagiotis Hadjidoukas is an Associate Professor and Head of the Laboratory for Computing at the Computer Engineering and Informatics Department, University of Patras, within the School of Engineering. His work focuses on high-performance computing systems and parallel programming models. His research spans parallel and distributed computing , runtime support for parallel programming models , and automation of AI/ML workloads . Key contributions include developing the torc runtime system for task parallelism and pioneering work in extreme-scale scientific simulations. His interests bridge theoretical computer science with practical applications in scientific computing and AI acceleration. Notable achievements include the ACM Gordon Bell Prize Winner (2013) for 11 PFLOP/s cloud cavitation simulations and Finalist (2015) for in-silico lab-on-a-chip microfluidics. His software tools ( torc_lite , torcpy ) enable efficient parallelism across diverse architectures. Doctor of Philosophy (2003), University of Patras Master of Science (2001), University of Patras Diploma in Computer Engineering (1998), University of Patras As Head of the Laboratory for Computing, he leads infrastructure development while maintaining active research collaborations with IBM Research and ETH Zurich. His teaching portfolio includes graduate courses on high-performance computing for data sciences and parallel processing principles.

Varouchakis Emmanuelمشاهده پروفایل

استادیار

• Geostatistics
• Environmental Mining
• Sustainable Development
• +۳ مورد دیگر

Varouchakis Emmanuel is an Assistant Professor at the Department of Mining Technology within the School of Mineral Resources Engineering at the Technical University of Crete . His research focuses on Geostatistics , Environmental Mining , and Sustainable Development , with expertise in Risk Analysis , Stochastic Processes , and Machine Learning . He contributes to the Research Units of Geostatistics and Environmental Mining and Sustainable Development ( https://www.envi-stat.tuc.gr/en/home ). Research Trends: His recent publications address critical challenges in hydrogeological modeling, environmental risk assessment, and sustainable mining practices. Key themes include groundwater level analysis , geostatistical inversion , pit lake hazard frameworks , and multi-criteria decision-making for SDG implementation in mining contexts. Grants & Projects: He leads the HFRI-funded project "Advanced geostatistical modeling for natural resources evaluation" (2023-2025) and participates in EU initiatives like IMMERSE (2023-2025) for critical mineral education and REECOL (2023-2026) focused on ecological rehabilitation of post-mining areas, employing machine learning and remote sensing. Teaching: He teaches undergraduate courses in Statistics and Probability for Engineers and Applied Geostatistics , as well as postgraduate courses on Time Series Analysis and Geostatistical Simulation Methods .

Angelos Kanasمشاهده پروفایل

استاد

• Finance
• International Finance
• Financial Markets
• +۲ مورد دیگر

Angelos Kanas is a Professor of Finance at the Department of Economics within the School of Economics, Business and International Studies at the University of Piraeus. His academic career spans over two decades with significant contributions to finance, banking, and econometric modeling, supported by continuous research funding from entities including NATO and the European Union. His educational background includes undergraduate studies funded by the Hellenic National Scholarships Foundation (I.K.Y.), an M.Sc. supported by the Bodosakis Foundation, and a Ph.D. financed by the National Scholarships Foundation (I.K.Y.). Kanas specializes in Finance, International Finance, Financial Markets, Financial Risks and Protection, and Banking. His research integrates advanced quantitative methods to analyze systemic risk, market efficiency, and policy impacts, with particular focus on regime-switching models and DEA efficiency measurements. Recent work explores intersections between climate finance, banking stability, and corporate governance. Analysis of his 15 most recent publications reveals an evolving research trajectory: early work (2005-2013) established expertise in exchange rate dynamics and asset pricing, while post-2015 research increasingly addresses banking regulation, systemic risk prediction, and methodological innovations in efficiency analysis. Current work (2022-2025) demonstrates strong engagement with climate-related financial risks and AI applications in finance. Hellenic National Scholarships Foundation (I.K.Y) studentship (undergraduate, three annual) Bodosakis Foundation scholarship (M.Sc.) National Scholarships Foundation (I.K.Y.) scholarship (Ph.D.) Kanas has secured research funding from NATO and EU bodies, reflecting recognition of his work's policy relevance. His extensive refereeing activities across 30+ journals including Journal of International Economics and Journal of Banking and Finance demonstrate scholarly leadership. He teaches core finance courses including International Finance and Special Topics in Finance, and has authored two academic books: Principles of Investment Analysis and Financial Markets (2021) and FinTech and Machine Learning: Basic Principles and Applications (2023).

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.

Zacharenia Garofalakiمشاهده پروفایل

استاد آموزشی

• Cybersecurity
• Internet of Things (IoT)
• Computer Networks
• +۳ مورد دیگر

Zacharenia Garofalaki is a Teaching Professor at the Department of Informatics & Computer Engineering, University of West Attica. She holds a Master’s Degree in Applied Information Systems (2015) and a Diploma in Electronic Computer Systems Engineering (2000) from Piraeus University of Applied Sciences. Currently pursuing a doctorate at the University of Piraeus, her research focuses on IoT security, network design, ad-hoc networking, and cyber-physical systems. Her professional experience includes 17 years as an IT Systems & Network Engineer, complemented by academic roles since 2016. She collaborated with the European Union Agency for Cybersecurity (ENISA) on threat landscape reports (2016-2021), contributing to annual cybersecurity trend analyses. Research contributions span vehicular networks, smart transportation systems, and IoT security frameworks such as CAPODAZ architecture. Zacharenia’s work bridges theoretical cybersecurity advancements with practical applications in critical infrastructure, healthcare, and intelligent transportation systems. Her expertise in policy-driven security models and stochastic modeling enhances IoT ecosystem resilience against evolving threats.

Dionissios T. Hristopulosمشاهده پروفایل

استاد

• Geostatistics
• Spatial Random Fields
• Spartan Spatial Random Fields
• +۱۵ مورد دیگر

Dionissios T. Hristopulos is a Professor and Head of the Geostatistics Laboratory at the School of Mineral Resources Engineering, Technical University of Crete, Greece. His research spans geostatistics, spatial random fields, environmental modeling, stochastic hydrology, and porous media mechanics. He has developed innovative Spartan Spatial Random Field (SSRF) models rooted in statistical physics, enabling efficient spatial interpolation and simulation. PhD in Physics, Princeton University (1991) MA in Physics, Princeton University (1988) Diploma in Electrical Engineering, National Technical University of Athens (1985) Hristopulos' research interests focus on the development and application of geostatistical methods in mineral resources, environmental monitoring, petroleum reservoirs, and GIS. He investigates spatial anisotropy, groundwater dynamics, earthquake return times, and the mechanical properties of heterogeneous materials. His work bridges statistical physics and geostatistics, particularly through SSRF models and renormalization group methods for upscaling transport properties in porous media. The most recent publications highlight his focus on geometric anisotropy detection in environmental data, non-parametric estimation methods, and applications of Spartan random fields in environmental time series and spatial data interpolation. His work increasingly integrates machine learning concepts with geostatistical modeling, especially for automatic mapping and ecological monitoring using remote sensing. Marie Curie success story (European Commission, 2010) for SPATSTAT project Hristopulos has secured research funding from national and EU programs, including the Marie Curie Transfer of Knowledge (SPATSTAT) and the INTAMAP STREP project. He has mentored several Master’s and PhD students, including Manos Varouchakis (PhD candidate on groundwater monitoring) and Manolis Petrakis (Master’s on anisotropy characterization). He collaborates with researchers in the US, France, Slovakia, and the UK. He serves on the editorial board of Stochastic Environmental Research and Risk Assessment and has contributed software tools for anisotropy detection in MATLAB and R. His research group, the Geostatistics Laboratory at TUC, focuses on machine learning and geostatistics, developing computational tools for environmental data analysis, spatial interpolation, and simulation. The lab emphasizes practical applications in hydrology, ecology, and mineral resources, supported by strong theoretical foundations in statistical physics and stochastic modeling.

Nikolaos Malamosمشاهده پروفایل

دانشیار

• Hydrology
• Irrigation Engineering
• Water Resources Management
• +۵ مورد دیگر

Nikolaos Malamos serves as an Associate Professor at the Agricultural University of Athens within the School of Environment and Agricultural Engineering, specifically in the Department of Natural Resources Development & Agricultural Engineering. His academic foundation includes graduation from the Agricultural University of Athens, postgraduate studies at the National Technical University of Athens' School of Civil Engineering, and a PhD in Agricultural Sciences. His research spans critical domains of agricultural hydrology with particular emphasis on: Soil-water-plant-atmosphere relationships and water movement in soil Mathematical simulation of water resources systems Hydroinformatics and spatial analysis methodologies Irrigation engineering and drainage systems Climate-hydrology interactions including evapotranspiration modeling His recent publication trajectory reveals intensifying focus on climate-resilient water management, stochastic rainfall frameworks, and water-energy-food nexus applications, particularly within Mediterranean agricultural contexts. Scientific recognition includes his role as Associate Editor for the Hydrological Sciences Journal, the official publication of the International Association of Hydrological Sciences (IAHS). Associate Editor, Hydrological Sciences Journal (IAHS) Professor Malamos actively leads research projects addressing irrigation optimization, hydrological modeling, and water resource sustainability. His work integrates field studies with computational approaches, frequently collaborating on national infrastructure initiatives like Greece's OpenHy.net water monitoring system. Current projects emphasize climate adaptation strategies for Greek agriculture, particularly in vineyards and greenhouse systems. He directs research activities within the Agricultural Hydraulics Laboratory, focusing on practical applications of hydrological theory to agricultural water management challenges across diverse Greek landscapes.

• Statistical Quality Control
• Supply Chain Management
• Operations Research
• +۳ مورد دیگر

George Nenes is a Professor and Head of the Department of Mechanical Engineering at the University of Western Macedonia (Greece), affiliated with the Polytechnic School. He also serves as a research associate at Aristotle University of Thessaloniki's Mechanical Engineering Department. His academic journey includes a PhD in Statistical Quality Control (2006), MSc in Management of Production Systems (2002), and a Mechanical Engineering Diploma (2000), all from Aristotle University. He has held visiting roles at institutions like the University of Thessaly and Democritus University of Thrace, and taught in international programs like Middlesex University's external programme. Research focuses on Statistical Quality Control and Supply Chain Management, with expertise in adaptive control charts, economic-statistical design methodologies, and inventory optimization. His work spans journals such as European Journal of Operational Research and IIE Transactions. He leads the MORSE Lab (Quantitative Methods of Operations Research and Statistics in Engineering) and teaches courses including Operations Research I/II, Inventory Management, and Simulation. Publications emphasize optimization of quality control systems, remanufacturing lot sizing, and finite-horizon process monitoring. His research integrates Bayesian methods, stochastic modeling, and cost-benefit analysis to address challenges in manufacturing and supply chain systems.