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.
Michael Boutsikas is an Associate Professor in the Department of Statistics and Insurance Science at the University of Piraeus. His academic career includes roles such as teaching Statistics II: Hypothesis Testing, Reliability Theory, and Stochastic Finance. He holds a PhD in Applied Probability from the University of Athens (2000), an MSc in Statistics and Operations Research (1998), and a Mathematics Diploma (1995). His research focuses on stochastic orders, probability metrics, reliability theory, and extreme value theory. Key contributions include work on scan statistics, compound Poisson approximation, and risk models. Recent studies address surplus processes in jump diffusion models and exit time analysis under barrier conditions. Teaching spans courses like Multivariate Statistical Analysis and Statistical Software Packages. His work often intersects actuarial science and financial modeling, with applications in insurance mathematics and risk management. Office hours are arranged via email.
Georgios Tzavelas is an Associate Professor in Probability and Statistics at the Department of Statistics and Insurance Science, University of Piraeus. His academic career includes roles in teaching and research since 1994, with expertise in parametric distribution theory, biased sampling models, and statistical inference methods. PhD in Mathematical Statistics (University of Maryland, 1994) MA in Mathematical Statistics (University of Maryland, 1991) Bachelor’s in Mathematics (University of Patras, 1984) Research focuses on estimation theory, characterization problems, environmental statistics, and biostatistics. Notable contributions include work on failure rate functions, factor analysis rotation effects, and size-biased sampling methodologies. His publications span over 35 peer-reviewed articles in journals like Metrika, Journal of Statistical Computation and Simulation, and Biometrical Journal. Awards include Excellence in Teaching (1993) and top academic performance recognition during undergraduate studies. Serves as a referee for multiple statistical journals. Teaching responsibilities include courses on sampling methods, biostatistics, actuarial science, and clinical trials. Research interests bridge statistical theory and applications in health and environmental sciences, with active participation in interdisciplinary collaborations.
Markos Koutras is a Professor in the Department of Statistics and Actuarial Science at the University of Piraeus, where he has been serving since September 2000. He previously held academic positions at the University of Athens, including Scientific Associate (1981-1983, 1985-1986), Lecturer (1986-1989), Assistant Professor (1989-1993), and Associate Professor (1993-2000). He has also served as Visiting Researcher at several international institutions including the University of Manitoba (Canada), Queen Mary and Westfield College (London), and McMaster University (Canada). His educational background includes: 1979: Degree from the University of Athens, Department of Mathematics (Grade: 9 and 6/20) 1981: MSc from the University of Athens, Department of Mathematics, in Computer Science and Operations Research (Grade: 9 and 7/16) 1983: PhD from the University of Athens, Department of Mathematics, with thesis 'Contribution to the theory of Spherical Distributions and related Taxonomic Problems' (Grade: Excellent) Professor Koutras specializes in several key areas of statistics and probability theory. His primary research interests focus on Reliability Theory, where he has made significant contributions to the understanding of system reliability, failure models, and maintenance policies. He has extensively researched Scan Statistics and Run Theory, developing methodologies for pattern recognition in sequences of trials and applications in quality control. His work in Multivariate Analysis has advanced techniques for analyzing complex data structures, while his contributions to Statistical Quality Control have provided new methodologies for process monitoring and improvement. He has also made notable contributions to Combinatorial Distributions, exploring the theoretical properties and applications of specialized probability distributions. With over 70 publications in international peer-reviewed journals (h-index: 16 as of January 2014) and 13 publications in international peer-reviewed volumes totaling more than 700 citations, Professor Koutras has established himself as a leading researcher in his fields. His work shows a clear progression from theoretical foundations in probability and reliability to practical applications in quality control, medical statistics, and risk management. A significant portion of his recent work focuses on scan statistics, run theory, and their applications in statistical process monitoring, demonstrating his continued contribution to advancing methodological frameworks in these areas. Professor Koutras has received significant recognition for his scholarly work: Associate Editor for 8 international journals including Methodology and Computing in Applied Probability and Journal of Statistical Planning and Inference Referee for papers submitted to more than 30 different journals President of the local organizing committee for 3 major international conferences Co-Chair of the International Organizing Committee for 7 International Workshops in Applied Probability Member of the Scientific Committee for 10 international conferences Elected member of the European Regional Committee of the Bernoulli Society (2013-present) Scientific responsible for more than 10 Research and Educational projects, including MarieCurie (2013-2016) and Aristeia (2014-2015) Professor Koutras has supervised 6 doctoral theses (5 completed, 1 in progress) and has been actively involved in research grant management. His leadership extends to administrative roles, having served as Director of Studies for the Postgraduate Program in Applied Statistics (2001-2004, 2007-2011), Chairman of the Department of Statistics and Actuarial Science (2003-2007, 2011-2013), and Dean of the School of Finance and Statistics (2013-2017). He has also been President of the Interdepartmental Committee for the Interuniversity Postgraduate Program in Biostatistics at the University of Athens. Professor Koutras leads a research group focused on reliability theory, scan statistics, and their applications. His team collaborates internationally, particularly through the International Workshops in Applied Probability that he has helped organize since 2002. His research has practical applications in quality control, medical statistics, and risk assessment, contributing to both theoretical advances and real-world problem solving.
Koutras Markos is a Professor at the Department of Statistics and Insurance Science, School of Finance and Statistics, University of Piraeus. With a career spanning over three decades, he has held academic positions at the University of Athens and visiting roles at the University of Manitoba and Queen Mary College, London. His work focuses on reliability theory, scan statistics, multivariate analysis, and quality control. Education : PhD in Probability and Statistics (University of Athens, 1983), MSc in Informatics and Operations Research (University of Athens, 1981), BSc in Mathematics (University of Athens, 1979). Research Interests include: Theory of Reliability (e.g., consecutive-k systems, failure rate analysis) Scan Statistics and Run Lengths Multivariate Analysis Combinatorial Distributions Quality Control via Control Charts and Runs Rules Recent Publications highlight applications in reliability engineering, statistical process control, and combinatorial probability, with keywords spanning Probability, Statistics, and Operations Research. Academic Service includes editorial roles in 8 international journals and referee work for over 30 journals. He has supervised 6 completed PhD theses and 1 ongoing.
Maravelakis Petros is a Professor at the Department of Business Organization and Administration , University of Piraeus (since September 2022). He previously held academic roles there as Associate Professor (2018-2022), Assistant Professor (2014-2018), and Lecturer (2012-2014). His research focuses on applications of statistics and informatics in business administration , with expertise in control charts, statistical process monitoring, and data-driven quality management. Education : PhD in Statistics (2003, Athens University of Economics and Business), Postgraduate Diploma in Statistics (1998), Mathematics Degree (1996, National and Kapodistrian University of Athens) His research spans statistical methodologies for healthcare, aviation safety, and business processes, including 44 publications in journals like Statistical Methods in Medical Research and European Journal of Operational Research . He has 1472 citations and serves as Associate Editor for Quality Technology and Quantitative Management . His work emphasizes nonparametric control charts and addressing challenges in zero-inflated data, measurement errors, and real-world applications. He has contributed to teaching courses such as Statistics for Business Administration , Computer Applications , and Data Mining in Business , while collaborating on postgraduate programs in quality management and tourism. His editorial and reviewing roles extend to 46 journals, including Computational Statistics and Data Analysis and International Journal of Production Research .
Athanasios H. Rakitzis is an Associate Professor at the Department of Statistics and Actuarial Science of the University of Piraeus. He has held academic positions at multiple institutions including the University of the Aegean and the University of Cyprus, and conducted postdoctoral research at the University of Nantes, France, as a Marie Curie Fellow. His educational background includes a Bachelor's degree in Mathematics from the National and Kapodistrian University of Athens (1998-2002), a Postgraduate Diploma in Applied Statistics from the University of Piraeus (2002-2004), and a PhD in Statistics from the University of Piraeus (2004-2008) with a thesis on "Statistical Quality Control and Theory of Flows and Formations". Rakitzis specializes in Statistical Quality Control and Processes, with particular expertise in statistical flow and sweep functions. His research has resulted in over 50 publications in international journals, collective volumes, and conference proceedings, with more than 450 citations. He has served as a reviewer for 27 international scientific journals. His recent research focuses on control charts for monitoring various statistical processes including zero-inflated models, BINARCH processes, and exponential distributions. His work spans both theoretical developments in statistical process control and practical applications in fields like healthcare. Marie Curie Fellow (2013-2015) Dr. Rakitzis teaches courses in Reliability Theory, Data Science, Statistics (Estimation), and Statistical Quality Control. He has also contributed to postgraduate programs at the Hellenic Open University. He is actively involved in research collaborations and has contributed to the advancement of statistical process control methodologies through innovative chart designs and monitoring techniques.
Sofia Triantafillou is an active Assistant Professor at the University of Crete specializing in causal inference and machine learning, with research applications spanning healthcare, telecommunications, and environmental health. Her work bridges theoretical advances in causal discovery with real-world problem solving across diverse domains. Her educational background includes a PhD from the University of Crete completed in 2015. Dr. Triantafillou's research focuses on developing robust methods for causal discovery, treatment effect estimation, and data integration. Key contributions include foundational work on causal Markov boundaries, identifiability frameworks, and automated causal pipelines. She addresses critical challenges in heterogeneous data settings, particularly in healthcare applications like sepsis treatment optimization and environmental health impact analysis. Her interdisciplinary approach combines computer science, statistics, and domain-specific knowledge to advance both methodological rigor and practical utility. Analysis of her 2021-2025 publications reveals a sustained emphasis on automating causal discovery processes and handling complex real-world data scenarios. She has pioneered techniques for integrating observational and experimental data, with growing applications in biomedical informatics (e.g., sepsis heterogeneity analysis) and industrial domains (e.g., 5G network optimization). Her work demonstrates consistent innovation in making causal methods more accessible, reliable, and applicable across disciplines.
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.
