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Pavlos S. Georgilakis is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), specializing in modern techniques for power system analysis, optimization, and renewable energy integration. He holds a Diploma (1990) and PhD (2000) in Electrical Engineering from NTUA. His career includes roles as Lecturer (2009) and Associate Professor (2018–2023) at NTUA, and Assistant Professor at the Technical University of Crete (2004–2009). Research focuses on power transmission/distribution systems, transformer design, and applying AI/optimization for grid efficiency. He led 10 research projects, including Horizon 2020 initiatives SHAR-Q, WiseGRID, and NobelGrid. He authored 3 books and over 230 publications (SCOPUS citations: >5,500). Editor of IET Smart Grid, Energies, and Electricity journals; senior IEEE member. He supervised 4 doctoral, 9 master’s, and 76 diploma theses. Awards include the 2013 Best Reviewer Award from Electric Power Systems Research. Active in energy storage, smart grids, and decentralized energy resource integration.

• Power Systems
• Electrical Engineering
• Renewable Energy Integration
• +6 more

Fei He is an Associate Professor at Tsinghua University's School of Software, where he leads the THUFV research lab focused on formal verification and program analysis. His research spans formal methods, automated reasoning, and program verification, with applications in concurrent systems, networking (P4 programs), and probabilistic systems. Education & Employment: PhD from Tsinghua University (2008) Visiting Scholar at Carnegie Mellon University (2010-2011) and Politecnico di Milano (2006-2007) Faculty positions at Tsinghua since 2008 (Assistant Professor 2008-2011, Associate Professor 2011-present) Research: He's developed innovative techniques in SMT solving for concurrency verification, termination analysis, and regression verification. His tools like Deagle have won gold medals at SV-COMP. Current work focuses on probabilistic program verification and network program analysis. Publications: His 80+ publications demonstrate consistent contributions across formal methods (PLDI, OOPSLA, ICSE), networking (NSDI, INFOCOM), and software engineering (TSE, TOSEM), with recent emphasis on data-driven verification and automated invariant inference. Awards: Gold Medals in SV-COMP ConcurrencySafety (2022, 2023, 2025) Best Paper Awards at PPoPP 2022 and SETTA 2022 Advising: Mentors 13 PhD/Master's students in THUFV lab, with graduates joining Huawei, MPI-SP, and research institutions. Secured multiple NSF China grants for trustworthy software research. Service: Associate Editor for Theory of Computing Systems, program committees for PLDI/ICSE/OOPSLA, and former Local Chair for ISSTA 2019.

• formal methods
• program analysis
• automated reasoning
• +2 more

Anastopoulos Charis is an Associate Professor in the Department of Physics at the University of Patras. He holds dual appointments in the Theoretical and Mathematical Physics Division and the Technical Institute of Patras (Optics and Optometry). His career includes postdoctoral research at Imperial College London, University of Barcelona, University of Maryland, Utrecht University, and extended research roles funded by Marie Curie Fellowships and national grants. Education: B.Sc. (University of Patras), M.Sc. and Ph.D. (Imperial College London). Research focuses on gravity theory (black hole thermodynamics, gravitational quantum physics), quantum gravity (time in quantum mechanics, quantum measurement), and quantum information (entanglement dynamics, relativistic quantum information). Notable contributions include a Princeton University Press book on quantum concepts and over 50 journal articles. His work bridges foundational quantum theory with gravitational physics, emphasizing quantum-classical transitions and spacetime structure. Awards include journal highlights (Class. Quant. Grav. 2008/2013) and Scientific American Book Club recognition. Research spans quantum decoherence, gravitational cat states, and relativistic measurement theory, with recent focus on deep space quantum experiments and holographic thermodynamics.

• Theoretical Physics
• Quantum Gravity
• Quantum Information
• +3 more

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.

• Spectral Analysis of Time Series
• Cointegration Methods
• Bootstrap Applications
• +3 more

Dimitris Karlis is a Professor in the Department of Statistics at the Athens University of Economics and Business (AUEB), within the School of Information Sciences and Technology. He has been a key academic figure since earning his BSc and PhD in Statistics from AUEB in 1992 and 1999, respectively, and was promoted to Associate Professor in 2012 before advancing to full Professor. Education: BSc in Statistics, AUEB (1992) PhD in Applied Statistics, AUEB (1999) His research spans computational statistics, mixture models, EM algorithms, copulas, multivariate discrete data, and applications in sports, insurance, and seismicity. He has published extensively in top-tier statistical journals such as the Journal of the Royal Statistical Society and Statistics in Medicine . The 15 most recent publications reveal a strong focus on multivariate count data, integer-valued time series, model-based clustering using copulas, and applications in actuarial science and health. His work frequently involves mixture models, Bayesian inference, and innovative extensions of Poisson-based frameworks. Scientific Service and Recognition: Associate Editor: Metron, Communications in Statistics, IMA Journal of Management Mathematics, Stochastic Environmental Research and Risk Assessment Editor: Biometrics Bulletin of IBS Member: American Statistical Society, International Statistical Institute, International Association of Statistical Computing, Hellenic Statistical Institute Publicity Officer: Eastern Mediterranean Region, International Biometric Society Advising and Grants: He has supervised 4 completed PhDs and 18 Master’s theses, with several more in progress. He has led and participated in research projects funded by the European Union and EUROSTAT, particularly in official statistics. His advising spans methodological and applied topics in statistics. Labs and Teams: While no formal lab is named, he collaborates extensively with researchers in actuarial science, transportation, biostatistics, and environmental risk, often through joint projects and publications.

• Computational Statistics
• Mixture Models
• EM Algorithm
• +12 more

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.

• Numerical Analysis
• Scientific Computing
• Mathematical Modelling
• +9 more

Dimitrios Betsakos is a Professor at the Department of Mathematics , Aristotle University of Thessaloniki , Greece. His academic journey began with a degree in Mathematics (1990) from Aristotle University, followed by a PhD in Mathematics (1996) from Washington University in St. Louis. He has held various academic positions, including Postdoctoral Fellow at the University of Helsinki (1998-1999), Visiting Assistant Professor roles at Aristotle University and the University of Crete (1999-2002), and progressively advanced to Assistant, Associate, and Full Professor at Aristotle University (2002-). His research focuses on Complex Analysis , Dynamic Theory , and Geometric Function Theory , exploring topics like harmonic measure, symmetrization, and hyperbolic geometry. His work connects analysis with probability, particularly through Brownian motion and Markov processes. The 15 most recent publications (2004-2021) span geometric versions of Schwarz’s lemma, harmonic measure, hyperbolic metrics, and condenser capacity. These studies often involve collaborations and address extremal problems, inequalities, and applications of complex analysis to differential equations. He has supervised numerous doctoral and postgraduate students, including Kelgiannis Georgios , Tsantaris Athanasios , and Sachpazis Stylianos , guiding research on topics like holomorphic functions, geometric transformations, and hyperbolic metrics. His teaching includes courses on Real Analysis and Complex Analysis. Current research projects include geometric versions of Schwarz’s lemma under hyperbolic metrics and capacity estimation problems, reflecting his long-term engagement with conformal invariants and analytic number theory.

• Complex Analysis
• Dynamic Theory
• Geometric Function Theory
• +2 more

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 .

• Geostatistics
• Environmental Mining
• Sustainable Development
• +3 more

Nikos E. Frangos is a Professor in the Department of Statistics at Athens University of Economics and Business (AUEB), School of Information Sciences and Technology. His research focuses on statistics, stochastic analysis, actuarial science, and pension fund valuation. He has published extensively in journals such as ASTIN Bulletin, Stochastic Processes and their Applications, and Insurance Mathematics & Economics. His work addresses applications in finance, insurance, and risk management. Academic Degrees: B.Sc. in Mathematics (1978, University of Athens), M.Sc. (1981) and Ph.D. (1984) in Mathematics from Ohio State University. Frangos' research emphasizes stochastic differential equations, reinsurance strategies, bonus-malus systems, and applications of Wiener chaos expansions. His recent publications explore finite mixture models, Sichel distribution, and hyperbolic SPDEs. He has taught undergraduate and graduate courses including Stochastic Processes , Insurance Mathematics , and Stochastic Finance , and participated in staff exchanges with Finland, Belgium, and Turkey. Scientific Awards: Best 2002 ASTIN paper award for "Optimal Bonus-Malus Systems" from the Casualty Actuarial Society, USA.

• Statistics
• Stochastic Analysis and Modeling
• Actuarial Science
• +1 more

Professor Konstantinos Politis is a distinguished academic in the Department of Statistics and Actuarial Science at the University of Piraeus, where he has served since 2004, progressing from Assistant Professor to his current position as Professor (2025-present). His academic career spans prestigious institutions including the University of Manchester, University of Southampton, and the University of Cambridge where he earned his PhD. Education: B.A. in Mathematics, University of Athens (1989) MSc in Statistics, University of Sheffield, UK (1991) PhD in Statistics, University of Cambridge, UK (1997) Professor Politis specializes in stochastic processes with particular focus on ruin theory, risk analysis, and actuarial mathematics. His research examines complex probability models related to insurance risk, surplus processes, renewal theory, and failure rate analysis. He has made significant contributions to understanding the mathematical properties of insurance risk models, particularly in the Sparre Andersen framework and compound Poisson processes. His work bridges theoretical probability with practical applications in actuarial science and financial risk management. His extensive publication record demonstrates consistent contributions to leading journals in probability and actuarial science. The research trajectory shows evolution from foundational work on ruin theory and risk models toward more sophisticated analyses of renewal processes, failure rate functions, and stochastic bounds. His recent work focuses on precise mathematical characterizations of recurrence times, convolution properties, and monotonicity in stochastic systems. Professor Politis has co-authored significant textbooks including Introduction to Probability: Models and Applications (2019) and Introduction to Probability: Multivariate Models and Applications (2021) with Balakrishnan and Koutras, as well as his Greek-language work Introduction to the Theory of Collective Risk (2012, 2nd ed. 2016). In teaching, Professor Politis has contributed to both undergraduate and graduate education, offering courses including Probability I, Special Topics in Probability, Variance Analysis, Loss Distributions, Generalized Linear Models, and Risk Theory II. His academic journey reflects a deep commitment to advancing statistical theory while maintaining practical relevance to actuarial science and risk management.

• Stochastic developments
• Risk and bankruptcy theory
• Actuarial mathematics
• +3 more

Dionysios Christopoulos is a Professor at the School of Electrical and Computer Engineering, Technical University of Crete. He holds a PhD in Physics from Princeton University (1991) and an Electrical Engineering degree from NTUA (1985). His career spans postdoctoral work at UNC Chapel Hill, research at FPInnovations, and academic roles at TUC since 2002. Teaching: Probability Theory, Statistics, Geostatistics, Time Series, Random Fields Collaborations: Interdisciplinary work with engineers, statisticians, mathematicians, physicists, and geologists Editorial Roles: Stochastic Environmental Research and Risk Assessment (Springer), Computers & Geosciences (Elsevier) His research focuses on spatial/spatiotemporal data modeling, with applications in statistical physics and stochastic methods. He has coordinated national and EU research programs and authored 202 publications, including two foundational books. Awards: 2003 Johannes A. Van den Akker Prize

• Geostatistics
• Spatial Data Modeling
• Stochastic Environmental Modeling
• +3 more

Demetrios Antzoulakos is an Associate Professor at the Department of Statistics and Insurance Science, University of Piraeus. He holds leadership roles as Head of the Department since January 2014 and Director of the MSc in Applied Statistics program. He has been affiliated with the University of Piraeus since 1998, progressing through Lecturer (1998-2000) to Assistant Professor (2000-2006) before his current role. His research focuses on distribution theory, run and pattern analysis, statistical quality control, and actuarial science applications. Education: Ph.D. in Mathematics, University of Patras (1990) Diploma in Mathematics, University of Patras (1986) Teaching: Undergraduate courses include Probability I/II and Life Insurance II. Postgraduate courses cover Data Analysis, Statistical Quality Control, Survival Analysis, and Life Contingencies. Research Interests: Span distribution theory of runs, control charts, start-up demonstration tests, and Fibonacci polynomials. His work bridges theoretical probability with practical applications in risk theory and quality assurance. Refereeing: Serves as a referee for journals like Journal of Applied Probability , Annals of the Institute of Statistical Mathematics , and IEEE Transactions on Reliability .

• Distribution Theory
• Run and Pattern Analysis
• Statistical Quality Control
• +5 more

Zimbidis Alexandros serves as Assistant Professor of Stochastic Analysis with applications to Insurance and Finance at the Department of Statistics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB). He concurrently acts as a consultant for pension funds in both private and public sectors. His academic credentials include: First-class Mathematics degree from University of Athens MSc with distinction in Actuarial Science from City University of London PhD in Actuarial Science from City University of London Dr. Zimbidis specializes in Actuarial Science and Stochastic Analysis applied to insurance and financial systems, with particular expertise in earthquake risk modeling, pension fund sustainability, and competitive insurance market dynamics. His research integrates advanced stochastic processes, control theory, and catastrophe modeling to address solvency requirements and risk assessment challenges. Recent publications (2022-2024) reveal a pronounced focus on fault-specific earthquake risk quantification using neural networks and epidemic-type models, alongside innovations in IFRS17 compliance and pension contribution optimization through H∞-control theory. His work consistently bridges theoretical stochastic analysis with practical regulatory and industry applications. Key recognitions include: Acknowledgment by The Institute of Actuaries of Japan for earthquake risk research Acknowledgment by Institute & Faculty of Actuaries of London for earthquake risk research Dedicated session at Casualty Actuarial Society (CAS) Annual Meetings for insurance pricing research With extensive industry experience as former director of a multinational insurance company and inaugural President of Greece's National Actuarial Authority, Dr. Zimbidis has developed numerous actuarial studies for corporate and social security pension systems. His six university textbooks and journal publications demonstrate significant contributions to actuarial methodology and risk modeling.

• Actuarial Science
• Stochastic Analysis
• Insurance Mathematics
• +3 more

Antzoulakos Dimitrios is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Piraeus. His academic career spans over two decades, with progressive appointments from Lecturer (1998-2000) to Assistant Professor (2000-2006) and finally Associate Professor (since 2006). He has held significant administrative roles including Chairman of the Department (2013-2015) and Director of the Postgraduate Program 'Applied Statistics' (2013-2017). Dr. Antzoulakos earned his Degree (1986) and PhD (1990) from the Department of Mathematics at the University of Patras. His teaching portfolio includes undergraduate courses such as Probabilities I & II and Actuarial Life Event Models II, as well as postgraduate courses in Data Analysis, Survival Analysis, and Statistical Quality Control. His research focuses on Applied Probability with particular emphasis on success flow theory, k-order distributions, component reliability, control charts, composite distributions in risk theory, and Fibonacci applications. His work bridges theoretical probability with practical applications in quality control and actuarial science. His publications from 2001-2016 demonstrate a clear trajectory from theoretical probability distributions toward practical applications in quality control and reliability engineering, appearing in top journals including Journal of Applied Probability and Journal of Quality Technology. Dr. Antzoulakos serves as a reviewer for numerous prestigious journals including Journal of Applied Probability, Journal of Statistical Planning and Inference, and The Fibonacci Quarterly, demonstrating his standing in the academic community. He has authored textbooks on probability exercises and developed extensive university notes for courses in life insurance, survival analysis, and quality control, contributing significantly to educational resources in his field.

• Applied Probability
• Success flow and formation theory
• k-order distributions
• +4 more

Professor Efstathios Hadjikonstantinides is affiliated with the University of Piraeus , where he has served in the Department of Statistics and Actuarial Science since 1990. His academic journey began at Aristotle University of Thessaloniki, earning a PhD in Mathematics (1990) and a BSc in Mathematics (1985) , both with Excellent grades. Research Interests His work spans Risk Theory , Bankruptcy Theory , Collective Risk Models , and Reliability Theory , with a focus on stochastic processes and actuarial risk modeling . Recent publications emphasize compound Poisson models , dividend strategies , and Markov-dependent trials , contributing to Risk Management and Insurance Mathematics . Academic Contributions Supervised two PhD students Published 15+ papers in Insurance: Mathematics and Economics , Scandinavian Actuarial Journal , and Journal of Computational and Applied Mathematics Active in national and international conferences (17th European Meeting of Statisticians, Panhellenic Congresses, etc.) Administrative Roles Chairman of Department (2007-2009) Director of Postgraduate Program Actuarial Science & Risk Management (2007-2011) Member of University Senate and Research Committees

• Actuarial Mathematics
• Applied Probability
• Mathematical Statistics
• +4 more