جستجوی استاد راهنمای دانشگاهی

• Water Resources Management
• Groundwater Flow and Pollutant Transport
• Geoenvironmental Engineering
• +۳ مورد دیگر

Georgios P. Karatzas is a Professor at the Department of Environmental Hydraulics, Coastal Engineering and Geoenvironmental Engineering (IV) within the Technical University of Crete. His research focuses on Water Resources Management , Groundwater Flow and Pollutant Transport , and Geoenvironmental Engineering . He leads the Laboratory of Geoenvironmental Engineering and has developed innovative methodologies like the 'Outer Approximation Method' Optimization adopted by major US agencies. His academic credentials include a Ph.D. (1992), M.Sc. (1987), and B.Sc. (1985) from Rutgers University, with prior education in Forestry from Aristotle University of Thessaloniki (1982). He has received international recognition, including adoption of his optimization methods by the Federal Remediation Technologies Roundtable (2003-present) and EPA (1999). His research integrates Groundwater Simulation Models with Optimization Methods for sustainable aquifer management, addressing challenges like Coastal Aquifer Salinization , Karst Aquifer Dynamics , and Flood Risk Assessment . Recent projects include InTheMED (€220,000) and Sustain–COAST (€290,000) focused on Mediterranean groundwater sustainability. Notable scientific awards include the 2014 Outstanding Teaching Award at Technical University of Crete and multiple grants from PRIMA, Interreg, and LIFE+ programs. His work combines advanced computational methods with practical environmental risk mitigation strategies.

Kalogeris Ioannisمشاهده پروفایل

استادیار

• Computational Mechanics
• Nonlinear Finite Element Methods
• Stochastic FEM
• +۵ مورد دیگر

Kalogeris Ioannis is an Assistant Professor at the School of Mechanical Engineering, National Technical University of Athens (NTUA). His research focuses on Computational Mechanics, including Nonlinear Finite Element Methods, Stochastic FEM, Multiscale FEM, and applications of Machine Learning. He teaches undergraduate courses on Analysis of Mechanical Structures I & II and coordinates Erasmus programs for international students. Contact: ikalogeris@mail.ntua.gr | Tel: (+30) 210 772-1725. Education: PhD in Engineering (NTUA, 2020), MSc in Theoretical Mathematics (NKUA, 2023), MSc in Structural Analysis & Design (NTUA, 2014), Dipl. Civil Engineer (NTUA, 2011) Research Interests: Computational Mechanics Nonlinear Finite Element Methods Stochastic/Multiscale FEM Machine Learning in Structural Analysis Bayesian Inference for Mechanics Professional Memberships: Technical Chamber of Greece, Greek Association of Computational Mechanics (GRACM), European Community on Computational Methods in Applied Sciences (ECCOMAS).

VASDEKIS VASILEIOSمشاهده پروفایل

استاد

• Longitudinal Data Analysis
• Latent Variable Models
• Composite Likelihood Methods
• +۷ مورد دیگر

VASDEKIS VASILEIOS is a Professor of Statistics at the Department of Statistics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB), where he has been a faculty member since 1999. He previously served as Assistant Professor (2003–2009), Associate Professor (2009–2016), and Lecturer (1999–2003). He held administrative roles including Head of Department (2016–2020) and Vice-Chancellor for Academic Affairs and Personnel (2020–2024). Education: D.Phil. in Statistics, University of Oxford, UK (1989–1993) M.Sc. in Applied Statistics, University of Oxford, UK (1988–1989) B.A. in Mathematics, University of Athens, Greece (1983–1988) His research focuses on longitudinal data analysis , latent variable models , and composite likelihood methods , with applications in clinical trials, psychology, and public health. He has developed statistical methodologies for correlated binary data, multivariate ordinal responses, and random effects models. His work bridges theoretical statistics with practical applications in medicine and social sciences. The recent publications show a strong trend in psychometrics , model diagnostics , and longitudinal modeling , particularly using composite likelihood and goodness-of-fit techniques. His interdisciplinary collaborations extend to developmental psychology and nutrition studies. Scientific Awards: Fellow of the Royal Statistical Society (UK) IKY Scholarship for Doctoral Research (1989–1993) He has supervised multiple doctoral students, including Evgenia Tzompanaki, Antonia Korre, and Ioanna Athanassopoulou, and postgraduate researcher Kostas Florios. He has secured research funding through projects such as PYTHAGORAS, ARISTEIA II, and internal AUEB grants. His professional service includes teaching workshops on SPSS and statistical methods for health professionals, often in collaboration with pharmaceutical companies like JANSSEN-CILAG. He is an active member of professional societies, including the Royal Statistical Society, the American Mathematical Society, and the Bernoulli Society. He has contributed to European research networks such as DAFNE, focusing on food consumption data analysis.

• Multidimensional Data Structures
• Decentralized Big Data Management Systems
• Spatio-Temporal Databases
• +۸ مورد دیگر

Spyros Sioutas is a Professor at the University of Patras, Division of Computer Software, Department of Computer Engineering and Informatics. His research focuses on multidimensional data structures, decentralized big data management, spatio-temporal databases, distributed systems for cloud computing, and machine learning. His recent publications highlight trends in IoT systems, federated learning, TinyML, and NoSQL database optimization. Key areas include LoRa-based data transmission, graph embeddings for fraud detection, and energy-efficient distributed algorithms. He contributes to the academic community through leadership in the Division of Computer Software and collaboration with research labs such as the Database Laboratory and High-Performance Information Systems Laboratory at the University of Patras.

Ioannis Vrontosمشاهده پروفایل

دانشیار

• Bayesian Inference
• Financial Econometrics
• Time Series Modeling
• +۷ مورد دیگر

Ioannis Vrontos serves as Associate Professor at the Department of Statistics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). His academic career has been entirely rooted at AUEB, where he completed all his educational milestones. Dr. Vrontos earned his B.Sc. in Statistics (1995), M.Sc. in Statistics (1997), and Ph.D. in Statistics (2001) from Athens University of Economics and Business. His doctoral work focused on Bayesian Autoregressive Conditional Heteroscedasticity models and MCMC applications in time-varying volatility models under the supervision of Petros Dellaportas. His research program centers on advanced statistical methodologies applied to financial markets. Vrontos specializes in Bayesian inference techniques for financial econometrics, with particular emphasis on MCMC methods, hidden Markov models, and time series analysis. His work bridges theoretical statistics with practical financial applications, especially in portfolio optimization, hedge fund analysis, and volatility modeling. Recent research extends into machine learning applications for financial forecasting and pandemic economic impact modeling. The analysis of his recent publications reveals a clear trajectory toward integrating traditional Bayesian methods with modern machine learning approaches. His work increasingly addresses complex financial prediction problems through quantile regression, tree-structured models, and non-homogeneous hidden Markov frameworks. The 2020-2024 publications demonstrate significant focus on pandemic economic impact modeling and advanced forecasting techniques for financial markets. International Society for Bayesian Analysis Institute of Mathematical Statistics Society of Computational Economics Greek Statistical Institute Dr. Vrontos has secured substantial research funding including the Hellenic Foundation for Research and Innovation project on Modeling the Economic and Financial Impact of COVID-19 (2022-2023), multiple ELKE OPA-funded research projects on Bayesian methods in finance, and international collaborations like the Systemic Risk Tomography (SYRTO) Project funded by the European Union. His research group actively investigates financial time series predictability, portfolio optimization under uncertainty, and pandemic economic effects.

Michael Polemisمشاهده پروفایل

استاد

• Industrial Economics
• Competition Policy
• Regulation
• +۴ مورد دیگر

Michael Polemis is a Professor of Industrial Economics at the University of Piraeus and a Member of the Hellenic Competition Commission since 2017. He holds a Ph.D. in Economics from the National and Kapodistrian University of Athens. His research focuses on industrial organization, competition policy, energy economics, and environmental economics. He has authored over 80 peer-reviewed articles in top journals like European Journal of Operational Research and Energy Economics , as well as five books. His work often examines market structure, regulatory impact, and sustainability. Teaching includes undergraduate and graduate courses in Industrial Economics, Environmental Economics, and Energy Markets. He has received awards for peer reviewing from journals such as Econometrica and Energy Policy . His research spans topics like renewable energy investments, gasoline price dynamics, and the environmental Kuznets curve. Recent studies include analyzing carbon pass-through mechanisms and the role of competition in pollution reduction. He is also involved in policy analysis, including EU competition law and regulatory frameworks.

Panagiotis Mitropoulosمشاهده پروفایل

استادیار

• Operations Research/Management Science (OR/MS)
• Data Envelopment Analysis
• Healthcare Efficiency
• +۵ مورد دیگر

Panagiotis Mitropoulos is an Assistant Professor at the Department of Regional and Economic Development, Agricultural University of Athens (AUA). He holds a PhD in Operational Research from the University of Patras (2007), with prior postgraduate studies in Statistics and Operational Research from the University of Essex, UK. His academic career includes teaching roles at the University of Patras, TEI of Western Greece, Hellenic Air Force Academy, and Hellenic Open University, focusing on quantitative methods and management science. Education : BSc in Mathematics, University of Aegean MSc in Statistics & Operational Research, University of Essex PhD in Operational Research, University of Patras His research interests span Operations Research/Management Science (OR/MS) , emphasizing data envelopment analysis (DEA) , multiple criteria decision-making , and location analysis . Recent work explores healthcare efficiency, entrepreneurial performance, and productivity dynamics in socio-economic systems. Key research trends include applying DEA to evaluate hospital productivity during crises, analyzing trade-offs between production and quality in banking/healthcare, and modeling water pricing impacts on agriculture. His articles address critical issues like Greece's healthcare system resilience and entrepreneurial ecosystems in innovation-driven economies. Grants & Projects : Not explicitly listed in text Labs/Teams : Affiliated with AUA’s Department of Regional and Economic Development

Georgios Skoulakisمشاهده پروفایل

دانشیار

• Financial Econometrics
• Optimal Portfolio Selection
• Securities Valuation
• +۳ مورد دیگر

Georgios Skoulakis is an Associate Professor at the Department of Finance and Banking Administration of the University of Piraeus. He holds a PhD in Statistics from the University of North Carolina at Chapel Hill and a PhD in Finance from Northwestern University. Prior to his current role, he worked at the University of Maryland and the University of British Columbia. His research focuses on Financial Econometrics, Optimal Portfolio Selection, and Securities Valuation, with publications in top journals like the Journal of Financial Economics and Review of Financial Studies. Education: Bachelor's in Mathematics, National and Kapodistrian University of Athens PhD in Statistics, University of North Carolina at Chapel Hill PhD in Finance, Northwestern University Research Interests: Development of econometric methods for portfolio optimization Analysis of risk premia in asset pricing models Exploration of oil price dynamics and their impact on equity markets Recent Research Trends: His work emphasizes methodological innovations in handling large cross-sectional datasets, calibration approaches for model validation, and applications of Taylor approximations in utility theory. He has also investigated the predictive power of unconventional indices like the Baltic Dry Index for global economic activity. Teaching: Courses include Bayesian Econometrics, Statistics II, and Fixed Income Products. Grants & Advising: No specific grants or student advisees listed in provided materials.

Kalligiannaki Evaggeliaمشاهده پروفایل

دانشیار

• Stochastic Processes
• Multi-scale Modeling
• Uncertainty Quantification
• +۵ مورد دیگر

Dr. Kalligiannaki Evaggelia is an Associate Professor at the Department of Statistics and Actuarial-Financial Mathematics, University of the Aegean, with a joint affiliation at the Institute of Applied and Computational Mathematics (IACM-FORTH) in Heraklion, Crete. She holds a PhD (2007), MSc (2002), and BSc (1999) in Applied Mathematics from the University of Crete. Her research integrates stochastic processes, multi-scale modeling, and computational mathematics to address complex systems. Key areas include: Stochastic simulations : Monte Carlo methods for molecular dynamics and particle systems Uncertainty quantification : Data-driven techniques for coarse-grained models Renewable energy forecasting : Machine learning approaches for solar/wind power prediction Her publications reveal a strong focus on bridging theoretical mathematics with applied physics/engineering, particularly in molecular coarse-graining (60% of recent works) and renewable energy forecasting (30%). Methodological innovation in uncertainty quantification and machine learning underpins both domains. Awards & Grants : Hellenic Foundation for Research and Innovation (HFRI) Postdoctoral Grant (2018, €170,000) for developing coarse-grained models using information theory She leads research projects like SISDECS-HFRI and collaborates with international teams (e.g., KAUST, University of Crete). Her work advances computational methods for energy systems and molecular design.

• Bayesian Statistics
• Computational Statistics
• Categorical Data Analysis
• +۵ مورد دیگر

DZOUFRAS IOANNIS is a Professor in the Department of Statistics at the Athens University of Economics and Business (AUEB), affiliated with the School of Information Sciences and Technology. He has held this position since December 2015 and has previously served as Assistant Professor (2004-2011) and Lecturer at multiple institutions. Education: PhD in Statistics (AUEB, 1999) Master's in Statistics (University of Southampton, 1995) BSc in Statistics & Actuarial Science (University of Piraeus, 1994) His research focuses on Bayesian and computational statistics, emphasizing categorical data analysis, model building, variable selection methodology, and applications to medical research, psychometrics, and sports data. His work has appeared in top journals like Bayesian Analysis , Statistics and Computing , and Psychometrika . Scientific Awards & Recognition: Lefkopoulio Prize for Best Doctoral Thesis in Statistics (1999-2000) Honorable Mention at AAP's PROSE Awards (2010) He has contributed to international collaborations through conferences with Italian universities and co-organized academic workshops in Greece.

Michalis K. Titsiasمشاهده پروفایل

مدرس

• Machine Learning
• Computational Statistics
• Bioinformatics
• +۱ مورد دیگر

Michalis K. Titsias is a Lecturer in the Department of Informatics at Athens University of Economics and Business, while concurrently serving as a Research Scientist at DeepMind. His research develops machine learning methodologies for Bayesian inference, variational methods, and probabilistic modeling. Education includes: Diploma in Informatics, University of Ioannina MSc in Informatics, University of Ioannina PhD in Computer Science, University of Edinburgh Research spans gradient-based MCMC, variational autoencoders, and Bayesian nonparametrics. Supervised students include Apostolos Adamakos (MSc), Charalambos Tamvakis (BSc), Manolis Christoforou (BSc), Styliani Loukatou (BSc), and Sevastianos Fournaris (MSc). Developed open-source tools for Gaussian processes, variational inference, and Markov chain Monte Carlo methods. Teaching includes undergraduate and postgraduate courses in machine learning, statistics, and artificial intelligence.

• Production Systems
• Business Processes
• Supply Chain Optimization
• +۴ مورد دیگر

George Ioannou is a Professor of Production Management and Business Processes at the Athens University of Economics and Business, where he leads the MBA International Postgraduate Program and the Center for Business Processes and ERP Systems at the Laboratory of Management Science. Previously, he served as Assistant Professor at Virginia Tech's Department of Production and Systems Engineering. His academic journey includes a B.Sc. in Mechanical Engineering from National Technical University of Athens, an M.Sc./DIC in Industrial Robotics/Production Automation from Imperial College London, and a Ph.D. in Mechanical Engineering from the University of Maryland. Current Academic Roles: Professor, Director of MBA Program, Head of ERP Systems Center Prior Academic Roles: Assistant Professor at Virginia Tech Education: B.Sc., M.Sc./DIC, Ph.D. His research focuses on integrating web-based technologies with operational research to optimize production systems, business processes, and supply chains. This spans applications in plant spatial planning, ERP systems, and cultural heritage digitization. He has secured research funding from global organizations including NSF, European Commission, and private sector leaders like Microsoft. Scientific awards include Microsoft's Excellence in Education Award and multiple teaching excellence recognitions for MBA programs. Ioannou serves on the Technical Chamber of Greece (TEE) and the editorial board of Production Planning & Control , with extensive consulting experience for public and private sector entities.

Loukia Meligkotsidouمشاهده پروفایل

دانشیار

• Bayesian Inference
• Computational Statistics
• Hidden Markov Models
• +۴ مورد دیگر

Loukia Meligkotsidou is an Associate Professor of Statistics at the Department of Mathematics of the National and Kapodistrian University of Athens. She holds a BSc in Statistics from Athens University of Economics and Business (2002) and a PhD in Statistics from Lancaster University (2005), focusing on filtering methods for population genetics, phylogenetics, and mixture models. Her research interests span Bayesian inference, computational statistics, hidden Markov models, biostatistics, and econometrics. She teaches undergraduate courses on Bayesian Inference and postgraduate courses on Time Series analysis. Her work emphasizes methodological advancements in statistical modeling, particularly in longitudinal data analysis, competing risks, and model uncertainty. Recent publications address issues like shared parameter models for longitudinal data, Bayesian unit root testing, and quantile regression approaches in financial forecasting. She is a Fellow of the Royal Statistical Society and active in professional societies like ISBA and IMS. Her research integrates theoretical contributions with applied problems in economics, finance, and biology. Notable contributions include frameworks for handling informative dropout mechanisms and developing efficient Bayesian computational methods for complex models. Her work bridges statistical methodology and real-world applications, particularly in econometrics and biostatistics.

Elias Tzavalisمشاهده پروفایل

استاد

• Econometrics
• Panel Data Analysis
• Unit Root Testing
• +۵ مورد دیگر

Elias Tzavalis is a Professor of Economics at the Athens University of Economics and Business (AUEB), Department of Economics. He serves as Director of the MSc program in Banking & Finance for Executives. His research focuses on econometric methodology, panel data analysis, structural breaks, and monetary policy. Notable contributions include work on unit root testing in dynamic panels, Bayesian methods for detecting structural breaks, and applications in financial risk management. Education & Roles: Professor at AUEB since 20XX Director of MSc Banking & Finance Executives Program Research Interests: Advanced econometric techniques, nonlinear modeling of economic relationships, macroeconomic policy analysis, and financial market dynamics. He has extensively published in top journals like Journal of Econometrics , Journal of Empirical Finance , and Econometric Reviews . Publications Trends: Recent work emphasizes structural breaks in macroeconomic data, threshold models for policy analysis, and applications of panel unit root tests. Key themes include fiscal sustainability, risk premium effects, and the impact of inflation regimes on monetary policy. Grants & Awards: No specific awards listed, but extensive citation impact in econometrics and finance literature. Advising & Labs: No student advising records provided, but collaborates frequently with researchers on computational econometrics and financial modeling projects.

Christophoros Nikouمشاهده پروفایل

استاد

• Image Processing
• Computer Vision
• Pattern Recognition
• +۱۲ مورد دیگر

Christophoros Nikou is a Professor in the Department of Computer Science and Engineering at the University of Ioannina, Greece. He holds a Ph.D. in Image Processing and Computer Vision from Université Louis Pasteur - Strasbourg I, France (1999), a DEA in Photonics and Image Processing from the same institution (1995), and a Diploma in Electrical Engineering from Aristotle University of Thessaloniki, Greece (1994). His research interests include: Image Processing Computer Vision Pattern Recognition Biomedical Image Analysis Medical Imaging Machine Learning His recent publications (2022–2024) reflect a strong trend toward deep learning, generative models, and multimodal analysis, particularly in document image analysis, super-resolution, and biomedical applications. He has made significant contributions to visual tracking, segmentation, and image registration, with recent work extending into virtual reality, hypercomplex neural networks, and model compression. Scientific awards include: Best paper award, IAPR/IEEE International Conference on Biometrics (ICB’16), 2016 Best paper award, Bayesian and Graphical Models for Biomedical Imaging (BAMBI’16), 2016 He has supervised numerous students, many of whom have co-authored publications with him, and his research has been supported by collaborations across multiple institutions. He has also co-edited a book on biomedical image processing and contributed to several book chapters. His work spans both theoretical and applied domains, with consistent publication in top-tier IEEE and Springer venues.