جستجوی استاد راهنمای دانشگاهی

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.

• Algebraic Geometry
• Moduli Spaces
• Hodge Theory
• +۳ مورد دیگر

Alexis Kouvidakis is a Professor at the Department of Mathematics and Applied Mathematics within the School of Sciences and Engineering at the University of Crete . His research focuses on Algebraic Geometry , particularly in areas such as divisors, moduli spaces, Hodge theory, and the geometry of cubic hypersurfaces. He has published extensively on symmetric products of curves, Hurwitz spaces, and Fano surfaces, with recent work exploring effective divisors on projectivized Hodge bundles and geometric properties of cubic fourfolds. His email address is kouvid@uoc.gr . The trends in his publications reflect a deep engagement with geometric structures in algebraic varieties. His work spans topics like Modular Forms in Hodge bundles, Monodromy in cubic threefolds, and Divisorial Loci in Hurwitz spaces. He has also contributed to applied mathematics through research in Medical Physics , including dosimetry modeling for ophthalmic brachytherapy.

Manolis Koubarakisمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Science
• Linked Data
• +۳ مورد دیگر

Manolis Koubarakis is a Professor and Director of Graduate Studies at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. He is affiliated with the Archimedes Unit at Athena Research Center and is a member of ELLIS. His research focuses on Artificial Intelligence and Data Science, particularly in Linked Geospatial Data, Earth Observation, and Knowledge Graphs. Education: PhD in Computer Science (National Technical University of Athens), M.Sc. in Computer Science (University of Toronto), and B.Sc. in Mathematics (University of Crete). Research Interests: His work spans AI applications in geospatial data, entity resolution, ontology-based data access (OBDA), and semantic web technologies. He leads projects like ExtremeEarth (AI for Copernicus data) and LEO (linked Earth Observation data). Awards: 2015: Fellow of the European Association of Artificial Intelligence (EurAI) 2022: Best Demo Award at CIKM for Copernicus App Lab Advising & Grants: Supervises students in AI and data science. Collaborates on EU-funded projects like BigDataEurope and participates in initiatives like the Standing Scientific Committee for AI in Greece's justice system. Labs & Teams: Heads the AI Lab (ai.di.uoa.gr) and contributes to the MaDgIK group, focusing on data and knowledge management systems.

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.

• Spectral Analysis of Time Series
• Cointegration Methods
• Bootstrap Applications
• +۳ مورد دیگر

Evangelos Ioannidis is an Associate Professor at the Department of Statistics, School of Informatics and Statistics, Athens University of Economics and Business. Born in 1962, he holds a Mathematics PhD from the University of Heidelberg (1993) and has served in his current department since 1999, progressing from Lecturer (1999) to Assistant Professor (2007) and Associate Professor (2023). His expertise spans spectral analysis of time series , cointegration methods , and bootstrap applications in economic data analysis, with additional focus on Official Statistics and sampling techniques . University of Heidelberg: MMath (1987), PhD (1993) Researcher, University of Heidelberg (1987-1991) Visiting Researcher, University of Orsay, Paris Sud (1992-1993) OECD, Paris (1994-1998) National Institute of Labour (1999) His scientific contributions focus on time series econometrics, VAR model spectra, and R&D expenditure analysis. Recent work includes non-parametric spectral estimation and risk-based sampling methodology. He has collaborated with Eurostat on statistical projects (2012-2014). Current affiliations include the Athens University of Economics and Business , where he teaches and conducts research on economic time series analysis and statistical methods.

Gérard Berryمشاهده پروفایل

استاد

• Computer Science
• Lambda Calculus
• Functional Programming
• +۵ مورد دیگر

Gérard Berry (born December 25, 1948) is a distinguished French computer scientist currently serving as Professor at the Collège de France, holding the permanent chair Algorithmes, machines et langages (Algorithms, Machines, and Languages) since 2012. He previously held the Informatique et sciences numériques chair (2009-2010) and the Technological Innovation Liliane Bettencourt chair (2007-2008) at the same institution. Before joining Collège de France full-time, he served as Director of Research at INRIA Sophia Antipolis (2009-2012) and at École des Mines de Paris (1977-2001). His research spans over 30 years in three main fields: lambda calculus and functional programming, parallel and real-time programming languages, and design automation for synchronous digital circuits. He is particularly renowned for developing the Esterel programming language. His work bridges theoretical computer science with practical industrial applications. Berry's research has evolved to include current work in Hop and HipHop for Web programming, formal verification of compilers, and languages for computer music. His publications demonstrate consistent contributions to programming language theory, formal methods, and their applications in hardware and software systems. Gold Medal of CNRS (2014) Chevalier de l'Ordre de la Légion d'Honneur (2012) Member of French Academy of Sciences (2002) Member of Academia Europaea (1993) Monpetit Prize of Académie des sciences (1990) Berry has advised 17 PhD students and reviewed numerous theses. His industrial experience includes serving as Chief Scientist Officer of Esterel Technologies (2000-2009), where he directed the implementation of the Esterel v7 compiler. He has also held significant leadership roles including President of the Scientific Council of IRCAM and membership on the Scientific Council of the National Education. His teaching at Collège de France has covered topics ranging from the foundations of computation to the societal impact of digital technology, with courses including The Informatics of Time and Events and Proving Programs: Why? When? How? His laboratory work has focused on developing practical applications of theoretical computer science concepts.

Synodi Evanthiaمشاهده پروفایل

دانشیار

• Early Childhood Education
• Comparative Education
• Teachers' Professionalism
• +۵ مورد دیگر

Synodi Evanthia is an Associate Professor in the Department of Preschool Education at the University of Crete. Her work focuses on comparative early childhood education with specialties in teachers' professionalism, initial teacher education, children's rights, and curriculum design. She holds a PhD from the University of Newcastle Upon Tyne (2001) and a BA from Aristotle University of Thessaloniki (1994). Her research explores cross-cultural educational practices in countries like Greece, Scotland, Ireland, and Scandinavia. Key themes include play-based learning, language development in early years, and implementation of children's rights within educational frameworks. She has conducted comparative studies on pedagogical approaches in diverse cultural contexts, emphasizing participatory education models. Publications highlight analysis of early childhood curricula, teacher training methodologies, and policy implementation challenges. Notable works examine child participation in educational decision-making and cross-national comparisons of playfulness in kindergarten settings. No awards or grants were explicitly listed in the provided materials. Her academic service includes curriculum development work and educational policy analysis.

• Operational Research
• Computational Optimization
• Transportation Logistics
• +۳ مورد دیگر

Emmanouil Zachariadis serves as an Associate Professor at the Department of Management Science and Technology (DMST) within the School of Business at Athens University of Economics and Business (AUEB). He specializes in operational research and computational optimization, focusing on transportation logistics, supply chain systems, and environmental impact minimization. Education : BSc in Chemical Engineering from National Technical University of Athens (NTUA) MSc in Computing Science from Imperial College London PhD in Chemical Engineering from NTUA His research integrates mathematical programming with optimization algorithms for operational challenges in transportation and production systems. He has published 26 articles in top-tier journals, accumulating over 1200 Scopus citations by June 2024. Recent scholarly trends emphasize vehicle routing problems with complex constraints (cross-docking, loading, time windows) and optimization methods for logistics sustainability. His work spans production-routing integration, emergency evacuation planning (EVITA project), and hybrid metaheuristics. Scientific Awards : Teaching excellence award for undergraduate course 'Optimization Methods in Management Science', Dept. of Management Science & Technology AUEB (2021-22) Teaching excellence awards for postgraduate course 'Large Scale Optimization', MSc in Business Analytics AUEB (2020-21, 2021-22, 2022-23) He has participated in European and National research projects, applying his expertise in supply chain optimization and sustainability. His teaching portfolio covers quantitative methods, operational research, and supply chain optimization at both undergraduate and postgraduate levels.

• Applied Mathematics
• Mathematical Modeling
• Nonlinear Waves
• +۳ مورد دیگر

Horikis Theodoros is a Professor in the Department of Mathematics at the University of Ioannina, affiliated with the School of Science. His research focuses on applied mathematics and mathematical modeling, with particular emphasis on nonlinear waves, optics, and integrable systems. Education: Undergraduate Studies: Physics, University of Crete Postgraduate Studies: Mathematics, Imperial College London Research Interests: Nonlinear Waves and Optics: Studying solitons, dispersive shock waves, and their applications in fluids and optics. Nonlinear Evolution Equations: Investigating integrable systems and their mathematical structures. Applied Mathematics: Developing models for phenomena like self-similar evolution in saturable media and nonlocal nonlinear effects. Article Trends (2021–2025): His recent work explores soliton dynamics in diverse media (e.g., self-gravitating fluids, nonlocal nonlinear systems), extreme events in driven systems, and extensions of classical equations (e.g., KdV, NLS) to higher dimensions and nonlocal settings. Key themes include wave stability, resonance, and universal reductions in nonlinear systems. Awards/Grants: No awards or grants explicitly mentioned in the provided texts. Advising and lab affiliations are not detailed here.

Vassilis P. Plagianakosمشاهده پروفایل

دانشیار

• Machine Learning
• Neural Networks
• Bioinformatics
• +۵ مورد دیگر

Vassilis P. Plagianakos is an Associate Professor at the Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece. He has held visiting academic roles at the University of the Aegean, University of Patras, and University of Central Greece. He currently serves as the Department Head and Director of the postgraduate program Informatics and Computational Biomedicine in the School of Sciences. His research focuses on machine learning, neural networks, bioinformatics, and parallel computing with applications in healthcare and education. Education : Bachelor’s in Mathematics (1996), University of Patras Ph.D. in Mathematics (2003), University of Patras Research Interests : Plagianakos explores neural networks, evolutionary algorithms, and machine learning applications in bioinformatics, medical diagnosis, and educational technology. His work bridges computational methods with real-world challenges in healthcare (e.g., precision medicine) and STEM education (e.g., flipped classrooms, AI integration). Recent Trends in Publications : Recent work emphasizes predictive precision medicine using big data, blockchain scalability solutions, and AI ethics in automated content detection. He has pioneered methods like the HCER hierarchical clustering-ensemble regressor and developed tools for analyzing single-cell RNA sequencing data. Professional Activities : Member of IEEE Neural Networks Society, IEEE BBTC, and former Board Member of the Hellenic AI Society. Active in collaborative projects like CrowdHEALTH for policy-driven health data analytics.

• Technology-Enhanced Learning
• Accessibility & Universal Design
• Assistive Technology
• +۷ مورد دیگر

Charalampos Karagiannidis is a Professor at the University of Thessaly (UTH) in the School of Educational Design (SED), Department of Information and Communication Technologies in Learning and Special Education. He has been affiliated with UTH since 2005 and previously worked at the University of the Aegean, ITI-CERTH, and ICS-FORTH. His academic roles include chairing the TeDISABLE Special Interest Group (SIG) of the IEEE TCLT. Education: BSc in Mathematics, Aristotle University of Thessaloniki MSc in Information Technology, University of London PhD in Electronics Engineering, University of Kent, UK Research Focus: Technology-Enhanced Learning (TEL) Accessibility & Universal Design Assistive Technologies for Special Needs Augmented Reality (AR) and Gamification in Education Educational Robotics for Inclusion Cognitive Assessment Technologies for Aging Populations Publications Trends: Recent work emphasizes ICT applications for autism spectrum disorders (ASD), inclusive robotics, MOOC design for K-12 education, and digital tools to address mild cognitive impairment. His research often bridges theoretical learning models with practical software development, particularly for marginalized populations. Awards & Recognition: No explicit awards listed, but active participation in 150+ publications, editorial roles, and international conference committees demonstrates peer recognition. Grants & Labs: Involved in projects like the TeDISABLE SIG and development of tools such as the Virtual Learning and Social Stories for Autism (VLSS) system . Collaborates on EU-funded initiatives addressing aging populations and cognitive assessment via digital tools.

• Atomic and Molecular Physics
• Quantum Mechanics
• Spin Polarization
• +۷ مورد دیگر

Petros Rakitzis is a Professor in the Department of Physics at the University of Crete and affiliated with the Foundation for Research and Technology - Hellas (FORTH) at the Institute of Electronic Structure and Laser (IESL). He received his B.A. in Physics and Chemistry from Cornell University (1992) and his Ph.D. in Physics from Stanford University (1997), focusing on atomic and molecular angular momentum in chemical reactions. Since 2001, he has progressed from Lecturer to Professor, securing the prestigious ERC Starting Grant in 2008. His research spans quantum angular momentum, spin polarization, photodissociation dynamics, and cavity-enhanced spectroscopy. Education: B.A. in Physics and Chemistry, Cornell University (1992); Ph.D. in Physics, Stanford University (1997) Rakitzis's work explores spin manipulation in particle beams, polarization phenomena in spectroscopy, and chirality sensing using parity-time-symmetric systems. His research has applications in nuclear fusion, laser-plasma acceleration, and quantum metrology. He leads the PREFER collaboration, focusing on polarization research for fusion experiments and reactors, and has developed techniques like signal-reversing cavity ring-down polarimetry for precision measurements. His recent publications highlight trends in spin-polarized hydrogen production, cavity-based chiral sensing, and parity nonconservation studies. These works intersect atomic physics, quantum optics, and nuclear fusion, with methodologies involving laser excitation, relativistic plasmas, and advanced spectroscopic techniques. Scientific Awards: ERC Starting Grant (2008) Rakitzis has contributed to experimental techniques and theoretical frameworks in spin polarization and photodissociation, securing grants and advancing polarized beam applications. His research impacts fusion energy, quantum sensing, and fundamental symmetry studies.

• Machine Learning
• Reinforcement Learning
• Decision Making Under Uncertainty
• +۶ مورد دیگر

Michail G. Lagoudakis is a Professor at the Department of Electronic and Computer Engineering, Technical University of Crete. His academic journey includes a Ph.D. in Computer Science from Duke University (2003), an M.Sc. from the University of Louisiana, Lafayette (1998), and a B.Sc. from the University of Patras (1995). He has held prestigious positions such as Postdoctoral Fellow at Georgia Institute of Technology's School of Industrial and Systems Engineering. Research Interests : Spanning machine learning (especially reinforcement learning), decision-making under uncertainty, robotics, algorithm selection, computational biology, and human-computer interaction. Publications : Over 15 recent works, including key contributions to robotics (auction-based multi-robot routing), medical diagnosis (urgent endoscopy prediction), and foundational machine learning (Least-Squares Policy Iteration, RCPI algorithm). Scientific Recognition : Recipient of Duke University's Outstanding Dissertation Award (2002-2003) and two Outstanding Teaching Assistant Awards. Professional Affiliations : Member of AAAI, IEEE, and ACM. Collaborations include industrial applications in disassembly planning, dynamic packet routing, and medical imaging. He advocates for computational biology and interdisciplinary research, aiming to integrate tools from mathematics and control theory into machine learning.

Moses A. Boudouridesمشاهده پروفایل

دانشیار

• Mathematics
• Nonlinear Dynamics
• Chaos Theory
• +۵ مورد دیگر

Moses A. Boudourides is an Associate Professor at the Department of Mathematics , University of Patras , Greece. Holding a Ph.D. from Johns Hopkins University and an Engineering Diploma from NTUA, his work bridges applied mathematics and social informatics . Research Interests : Nonlinear dynamics, chaos theory, societal implications of technology, internet studies, science policy, network analysis, and digital communication. Teaching : Courses in mathematics and its intersections with technological systems. Projects : Contributions to European research initiatives like SOEIS, STAGE, and COMMORG. Recent Publications span mathematical modeling of fluid dynamics, social network analysis of email systems, and policy critiques of ICTs, reflecting his interdisciplinary focus. Articles often examine network self-organization, digital media impacts, and nonlinear system behaviors. Contact : mboudour@upatras.gr , Department of Mathematics, University of Patras, Greece.

Sofia Kyratziمشاهده پروفایل

استادیار

• Geometric Modeling
• Computer-Aided Design (CAD)
• Parametric Modeling
• +۵ مورد دیگر

Sofia Kyratzi is an Assistant Professor of Geometric Modeling and Computer-Aided Design at the University of the Aegean's Department of Product and Systems Design Engineering. She holds a PhD (2007) in Computer Graphics and Geometric Modeling from the same university, an MSc in Medical Informatics (2002) from Aristotle University of Thessaloniki, and a BSc in Mathematics (2000) from Aristotle University. Roles: Teaches courses like Computer Graphics, Computer-Aided Design, and related graduate topics. Research Focus: Parametric modeling, sketch-to-solid algorithms, design intent recognition, and Industry 4.0 integration in manufacturing. Her work includes developing algorithms for reconstructing 3D models from sketches, leveraging cloud computing for CAD applications, and optimizing footwear design via biomechanical modeling. Key contributions span over 15 peer-reviewed publications in journals like Computer-Aided Design and conferences addressing geometric modeling challenges. She collaborates on projects exploring Industry 4.0 technologies for SMEs, emphasizing cloud-based CAD tools and parallel computing optimizations. Her research bridges theoretical geometric principles with practical industrial applications.