Emmanuel Androulakis is an Assistant Professor at the Department of Statistics and Actuarial Science, University of Piraeus, specializing in Probability and Statistics. He holds a PhD from the National Technical University of Athens (2015) with a thesis on "Factorial designs, generalized linear models and variable selection using penalized probability methods". His research interests focus on Survival Analysis, Meta-analysis of Survival Data, Experimental Designs, and Biostatistics. He has published 30 works in international journals, book chapters, and conference proceedings, with over 240 citations. His recent publications span diverse applications including healthcare, environmental science, and social sciences. His articles demonstrate strong methodological development in statistical modeling with applications in geriatric care, oncology, renewable energy forecasting, and public health. The research shows particular expertise in handling complex survival data, meta-analysis techniques, and experimental design methodologies. Dr. Androulakis has served as a reviewer for 14 international scientific journals and has taught undergraduate courses including Biostatistics, Statistical Programs, and Probability, as well as graduate courses in Biostatistics and Epidemiological Statistical Methods.
Professor Georgios Iliopoulos is a distinguished academic serving as Professor and Department Chair of the Department of Statistics and Actuarial Science at the University of Piraeus. With an extensive academic career spanning over two decades, Professor Iliopoulos has established himself as a leading expert in statistical theory and methodology. His leadership as Department Chair demonstrates his significant contribution to the academic community and his commitment to advancing statistical education and research. Professor Iliopoulos completed his educational journey at the University of Patras, earning his B.A. in Mathematics in 1993 followed by a PhD in Statistics in 1999. His academic career progressed through various institutions before he settled at the University of Piraeus, where he has held positions from Assistant Professor (2003-2010) to Associate Professor (2010-2015) and ultimately to Professor (2015-present). Professor Iliopoulos's research focuses on several key areas of statistical theory, with particular emphasis on Markov chain Monte Carlo methods, Statistical Decision Theory, Scale parameter estimation, Accurate inference under censorship, and Constrained inference arrangement. His work bridges theoretical statistics with practical applications, demonstrating how sophisticated statistical methods can solve real-world problems across various domains. His research has consistently addressed challenging theoretical questions while maintaining relevance to practical statistical challenges faced by researchers and practitioners. Analysis of Professor Iliopoulos's publication record reveals a strong focus on theoretical statistics with applications in reliability analysis, Bayesian inference, and censoring methodologies. His work demonstrates a consistent pattern of advancing statistical theory while maintaining practical relevance, particularly in the areas of parameter estimation, confidence interval construction, and inference with censored data. The interdisciplinary nature of his research is evident in publications spanning journals in statistics, biostatistics, and computational statistics. Professor Iliopoulos is actively involved in teaching both undergraduate and postgraduate courses. At the undergraduate level, he teaches Linear Algebra, Statistics II: Hypothesis Testing, and Special Topics in Statistics (Bayesian Statistics). For postgraduate students, he offers Computational Statistical Techniques as part of the Master of Science in Applied Statistics program. His teaching reflects his research expertise, providing students with both theoretical foundations and practical applications of advanced statistical methods.
Tzavelas Georgios is an Associate Professor at the Department of Statistics and Actuarial Science, School of Finance and Statistics, University of Piraeus. With a distinguished academic career spanning several decades, he has established himself as a prominent researcher in statistical theory and methodology, with particular expertise in estimation theory, characterization problems, environmental statistics, and biostatistics. His educational background includes a Ph.D. in Mathematical Statistics (1994), Master of Arts (1991), both from the University of Maryland at College Park, and a Bachelor's Degree in Mathematics (1984) from the University of Patras. His academic journey began with exceptional promise, as he ranked in the top 5% of students throughout his undergraduate studies. Professor Tzavelas' research focuses on advanced statistical methodologies with applications across multiple domains. His work in estimation theory has produced significant contributions to understanding parameter estimation in complex models, particularly with biased and size-biased samples. His research in environmental statistics has addressed critical issues related to environmental monitoring and assessment, while his biostatistics work has contributed to medical research methodology. Recent research trends show a strong emphasis on weighted distributions, characterization theorems, and the application of statistical methods to biomedical and environmental data. His scholarly output demonstrates consistent productivity with numerous publications in prestigious journals including Journal of Applied Statistics, Biometrical Journal, Metrika, and Journal of Statistical Computation and Simulation. His work often bridges theoretical developments with practical applications, particularly in healthcare and environmental contexts. Exemplary Teaching Award, University of Maryland at College Park (1993) Ranked in the top 5% of students at University of Patras (1981-1983) Throughout his career, Professor Tzavelas has participated in numerous research programs funded by various institutions, addressing diverse topics from healthcare quality assessment to environmental statistics. His collaborative approach is evident in his extensive co-authorship with researchers across different disciplines. He has also contributed significantly as a reviewer for international journals including Applied Statistics, Journal of Statistical Computation and Simulation, and Communication in Statistics. His teaching portfolio spans both undergraduate and graduate levels, with courses in sampling methods, statistical estimation, clinical trials, and biostatistics. His research program continues to advance statistical methodology while addressing real-world problems in healthcare, environmental science, and social research.
Ioannis S. Triantafyllou is an Associate Professor at the Department of Statistics and Actuarial Science of the University of Piraeus, where he has been serving since 2022. Previously, he was an Associate Professor at the Department of Informatics with applications in Biomedicine at the University of Thessaly (2017-2021) and a Lecturer at the same department (2016-2017). He also serves as Collaborating Educational Staff at the School of Natural Sciences & Technology, Hellenic Open University since 2013. Education: Postdoctoral Research (2011) in Probability and Statistics at the University of Piraeus Doctoral Degree (2009) from the Department of Statistics & Actuarial Science, University of Piraeus Master's Degree in Applied Statistics (2005) from the University of Piraeus Bachelor's Degree (2002) from the Department of Mathematics, National & Kapodistrian University of Athens Dr. Triantafyllou's research focuses on Statistics and Applied Probability, with particular emphasis on Nonparametric Statistical Process Control, Nonparametric Statistical Inference, Statistical Reliability Theory, Order Statistics Theory, and Aging properties study. His work bridges theoretical statistics with practical applications in reliability engineering and quality control. He has developed innovative nonparametric methods for monitoring industrial processes without assuming specific distributional forms, which has significant implications for quality assurance in various industries. His recent publications demonstrate a strong focus on reliability structures, particularly consecutive-type systems, weighted components, and distribution-free control charts. The research shows a clear trend toward developing more sophisticated models that incorporate multiple failure modes, redundancy mechanisms, and nonparametric approaches that don't require distributional assumptions. His work increasingly intersects with applications in supply chain management, medical diagnostics, and engineering systems. Professional Recognition: Associate Editor at International Journal of Mathematical Engineering and Management Sciences Reviewer at Mathematical Reviews/MathSciNet Guest Editor for special issues in Mathematics, International Journal of Quality and Reliability Management, and Reliability: Theory and Applications Member of Scientific Committees for multiple Panhellenic Statistical Conferences Dr. Triantafyllou has supervised more than 60 undergraduate theses and over 35 master's theses throughout his career. His teaching spans 8 undergraduate and 23 graduate courses across multiple institutions, totaling more than 13 academic semesters of instruction. He has authored 18 teaching textbooks and served as a reviewer for 37 different international scientific journals, evaluating more than 70 papers. His research laboratory focuses on reliability engineering and statistical process control, with active collaborations across multiple institutions. Current projects involve developing advanced nonparametric control charts for industrial applications and studying complex reliability structures with multiple failure criteria.
