Statistical Flow Functions Professors and Supervisors in Greece

Jean-Christophe NaveView profile

Associate Professor

Foundation for research and technology-hellasGreece

Dr. Jean-Christophe Nave is an Associate Professor in the Department of Mathematics and Statistics at McGill University. He holds a PhD from the University of California, Santa Barbara (2004), under advisors Xu-Dong Liu and Sanjoy Banerjee. Prior to McGill, he served as a Lecturer and Instructor at MIT's Mathematics Department (2005-2010). His research focuses on numerical analysis, partial differential equations, fluid mechanics, and computational methods for interface problems. He has led research groups involving postdocs, PhD, and undergraduate students, collaborating on projects like the Correction Function Method for PDEs and the Characteristic Mapping Method for advection problems. Education: Ph.D. in Applied Mathematics from UCSB (2004). Affiliations include the Institut des Sciences Mathematiques Steering Committee, Centre de Recherches Mathematiques Applied Math Lab, and CNRS-UMI. Active in teaching courses like Numerical Analysis I/II and Non-Linear Dynamics at McGill, with sabbatical periods noted in recent years. Research interests span numerical methods for PDEs, fluid-structure interaction, and multi-phase flows. His work integrates computational geometry and invariant numerical techniques, addressing challenges in complex fluid dynamics and interface-driven phenomena. Over 40 peer-reviewed publications and continuous contributions to the field of computational applied mathematics. Scientific advising includes over 20 graduate and undergraduate students, with notable alumni now in academia and industry. Collaborations include projects on volcano dynamics, fiber drawing instabilities, and concentrated solar power systems. His methods have advanced numerical simulations for engineering and physical systems involving discontinuous coefficients and sharp interfaces.

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Konstantinos StergiouView profile

Professor

Aristotle University of ThessalonikiGreece

Konstantinos Stergiou is a distinguished Professor in the Department of Biology at the School of Sciences, Aristotle University of Thessaloniki, with a prolific career spanning over three decades in marine biology and fisheries science. His work has significantly contributed to understanding Mediterranean marine ecosystems, fish population dynamics, and sustainable fisheries management. Dr. Stergiou's research interests encompass marine biology, fisheries science, fish ecology, and marine conservation. He has pioneered research on trophic levels, fish biological parameters, and the impacts of climate change on Mediterranean fisheries. His work often integrates ecological, economic, and social dimensions to provide holistic approaches to marine resource management. He has developed innovative methodologies for fisheries assessment and has extensively documented the biological characteristics of Mediterranean fish species. His publication record demonstrates consistent scholarly output since the 1980s, with recent work focusing on biological invasions in the Mediterranean, discard management, and climate change impacts on marine ecosystems. His research shows a strong emphasis on practical applications for fisheries management and conservation policy. Dr. Stergiou has collaborated extensively with researchers across Greece and Europe, contributing to numerous projects addressing critical issues in Mediterranean marine science. His work on the mean temperature of the catch (MTC) has provided valuable insights into climate change effects on fisheries.

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Dimitrios TsiotasView profile

Assistant Professor

Agricultural University of AthensGreece

Dimitrios Tsiotas serves as Assistant Professor of Regional Economics and Regional Development at the Department of Regional and Economic Development, Agricultural University of Athens (Amfissa, Greece). He has established himself as a prominent researcher in regional science with over 180 publications and significant editorial roles in major journals including serving as Co-Editor of Spatial Economic Analysis (Taylor and Francis) and on the editorial boards of Regional Science Inquiry , Theoretical and Empirical Researches in Urban Management , and Management Research and Practice . His educational background reflects an interdisciplinary approach with two undergraduate degrees in Aeronautical Engineering (Ikarus School-SMA, 2001) and Mathematics (NKUA, 2008), followed by postgraduate studies in Spatial Planning, Urban Planning and Regional Development Engineering (University of Thessaly, 2009) and Mathematics (AUTH, 2010). He completed his PhD in 2016 from the University of Thessaly. Dr. Tsiotas' research bridges economics, geography, and network science with particular focus on Regional Science and Economics, Transport and Spatial Economics, Urban Economics and Planning, and Complex Network Analysis. His work demonstrates how network methodologies can be applied to understand regional economic structures, transportation systems, and spatial development patterns. His research has evolved to incorporate advanced network analysis techniques to study economic resilience, interregional flows, and the topology of transportation networks. His extensive publication record reveals a consistent pattern of applying network science methodologies to regional economic questions, with increasing focus on multilayer network approaches, economic resilience measurement, and the spatial dimensions of economic development. Recent work shows growing interest in the European Union's regional development patterns, labor market networks, and the application of 3D resilience frameworks to financial crises. Dr. Tsiotas maintains active editorial responsibilities across multiple regional science journals, reflecting his standing in the academic community. His editorial work includes serving as Co-Editor of Spatial Economic Analysis , membership on the Editorial Board of Regional Science Inquiry , Theoretical and Empirical Researches in Urban Management , and Management Research and Practice , and advisory roles for other journals. He teaches courses including Urban Economics I & II, Econometrics II, Natural Resource Economics, and Regional Economics I & II, demonstrating his expertise across core areas of regional economic analysis. His office hours are scheduled Wednesday 16:00-17:00, Thursday 14:00-15:00, and Friday 16:00-16:30.

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Georgios PapadopoulosView profile

Professor

Agricultural University of AthensGreece

Professor Georgios Papadopoulos is a faculty member at the Agricultural University of Athens , where he holds the rank of Professor and serves as the Director of the Institute of Experimental Design and Analysis . His academic career spans over three decades, with a strong focus on statistics, reliability theory, and data analysis in agricultural sciences. Education: Diploma in Mathematics, University of Thessaloniki, Department of Mathematics (1980) M.Sc. in Computer Science and Operations Research, University of Athens, Department of Mathematics (1982) Ph.D. in Reliability Theory, University of Athens, Department of Mathematics (1993) Research Interests: His research spans a wide range of areas including statistical analysis of agricultural experiments , reliability theory , quality control , chemometrics , biometrics , and web-based learning . He has applied statistical modeling to diverse fields such as food science, plant biology, environmental monitoring, and medical diagnostics. Publications and Impact: Professor Papadopoulos has authored or co-authored over 50 peer-reviewed publications, many of which are highly cited. His work includes foundational contributions to reliability systems, statistical methods in agricultural experimentation, and sensory analysis of food products. His recent work increasingly incorporates machine learning and neural networks for predictive modeling in agriculture and environmental science. Teaching and Mentorship: He teaches a wide array of courses including Statistics, Biometrics, Experimental Design, and Statistical Quality Control across multiple departments at the Agricultural University of Athens and the University of Athens. He has also organized and led training seminars and summer schools on experimental design and statistical software. Editorial and Academic Service: He serves as a reviewer for several high-impact journals including IEEE Transactions on Reliability , Communications in Statistics , and Agronomy . His Google Scholar profile indicates over 509 citations, reflecting his significant influence in the statistical and agricultural sciences communities.

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Athanasios H. RakitzisView profile

Associate Professor

University of PiraeusGreece

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.

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Konstantinos SkianisView profile

Assistant Professor

University of IoanninaGreece

Konstantinos Skianis is an Assistant Professor in the Department of Computer Science and Engineering at the University of Ioannina, Greece. His research lies at the intersection of Natural Language Processing, Machine Learning, Deep Learning, and Data Science, with a focus on representations, regularization, robustness, and reasoning (the 4R's). He has founded the Greek AI company BLUAI and co-founded PrimeHost AI, a startup automating guest conversations using AI. Ph.D. in Computer Science, École Polytechnique, France (2015–2019) M.Sc. in Math, Computer Vision, and Machine Learning, École Normale Supérieure de Cachan, France (2014–2015) B.Sc. in Computer Science, Athens University of Economics and Business, Greece (2013) His research interests span Natural Language Processing , Graph Neural Networks , Large Language Models , Representation Learning , and Medical AI . He investigates robustness in neural networks, reasoning with LLMs via pseudo-code, and multilingual applications in low-resource settings like Greek. His recent work includes digital twins for industrial optimization, climate adaptation in ports using ML, and mental health detection via LLMs. The 15 most recent publications reflect a strong trend in graph-based learning , LLM reasoning , representation robustness , and applied AI in healthcare and industry . His work combines theoretical rigor with practical applications, often involving real-world datasets from public health, industrial processes, and climate science. Best Paper Award, TextGraphs at NAACL 2018 OpenAI Researcher Access Program (2024) He has advised or collaborated on several student projects and competitions, including the Data Mining Cup and Kaggle challenges. He has secured research support through the OpenAI credits program. He has taught courses in Linear Algebra, Data Mining, and advanced labs on graph and text learning at ENS Paris-Saclay. He is actively involved in the research community as an Area Chair for ARR (2025) and reviewer for top-tier venues like NeurIPS, ICLR, ACL, and EMNLP. He leads or contributes to open-source tools such as GoWvis (text visualization), GraKeL (graph kernel library), and SpreadViz (influence spread visualization). His work on Greek NLP resources has helped advance language technology for low-resource languages.

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Antonios TravlosView profile

Professor

University of PeloponneseGreece

Antonios Travlos is a Professor at the Department of Sports Organization & Management, University of Peloponnese, Greece. He holds academic affiliations with the Faculty of Human Movement Sciences and Quality of Life. His professional journey includes roles in sport management education, leadership studies, and applied sport psychology. He has served as a researcher and educator across multiple institutions, including the Nursing Department and Physiotherapy Department at the University of Peloponnese, and Deree College - The American College of Greece. Education: Ph.D. in Physical Education and Sport Studies, University of Alberta (1988-1993) M.A. in Physical Education and Sport Studies, McGill University (1986-1988) B.A. in Physical Education, National Academy of Physical Education, Athens (1977-1981) Research Interests: Leadership practices in digital-age education Psychological and physiological factors in sports performance Impact of pandemics (e.g., COVID-19) on physical activity and public health Migration patterns and athletic success Anti-bullying interventions and moral disengagement mechanisms Cognitive-behavioral outcomes of exercise Recent Research Trends: His work bridges sport science with interdisciplinary topics such as ICT integration in education, post-infection physical activity recovery, and historical studies of Spartan athletics. Key themes include data-driven insights into athlete performance, policy implications for school leadership, and cross-cultural analyses of global sports talent systems. Advising & Grants: No specific grants or advising data listed in the provided texts. His teaching spans undergraduate and graduate courses in sport psychology, statistics, and organizational behavior, reflecting his dual focus on academic rigor and practical application. Labs/Teams: No dedicated labs or teams explicitly mentioned, though collaborations with international researchers (e.g., Bourdas, Souglis) are evident in co-authored publications.

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Georgios KokosalakisView profile

Assistant Professor

The American College of GreeceGreece

Dr. Georgios Kokosalakis serves as Assistant Professor at the School of Business and Economics, American College of Greece (ACG), and Executive Director of the Center of Excellence in Logistics, Shipping and Transportation (CoELST). He maintains dual academic roles as Senior Research Associate at University of Patras' Civil Engineering Department and Educational Counselor at MIT, while also directing industry ventures through Proteus Marine Ltd. His academic credentials include: Science Doctorate in Civil and Environmental Engineering, MIT (2006) Master of Science in Civil and Environmental Engineering, MIT (2000) Diploma in Civil Engineering (Structural Division), National Technical University of Athens (1998) Dr. Kokosalakis' research centers on Maritime Systems and Environmental Protection, with emphasis on operational efficiency, energy conservation, and emissions control in shipping logistics. His interdisciplinary approach integrates large data analytics, systems modeling, and sensor technology to develop practical solutions for sustainable maritime operations while addressing environmental pollution challenges. Recent publications (2019-2021) reveal dual research trajectories: maritime-focused work on energy efficiency impacts on container ship valuation, regulatory responses in shipping, and pandemic effects on second-hand markets; and civil engineering contributions to water distribution network optimization through probabilistic modeling of minimum night flow and real losses. This cross-disciplinary pattern demonstrates his ability to transfer methodologies between maritime and infrastructure domains. His scientific recognition includes: Schoettler Fellowship Award from MIT (2002-2003) Technical Chamber of Greece Best Thesis Award (1998) Exceptional Student Performance Awards (1995-1997) Active grant funding supports his research through projects with Athens Water Supply Company (2021), Greece's Center for Renewable Energy Sources (2020), and Hellenic Foundation for Research Innovation (2019). His industry experience as a shipowner and Proteus Marine Ltd Director provides practical grounding for academic work, though specific student supervision details aren't documented in available materials. The Center of Excellence in Logistics, Shipping and Transportation (CoELST) functions as his primary research ecosystem, facilitating collaborations between ACG, University of Patras, MIT, and maritime industry partners to advance sustainable transportation solutions through integrated engineering and business perspectives.

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