Bersimis Sotirios

Μπερσίμης Σωτήριος

Bersimis Sotirios

Professor, Department of Business Administration

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Teaching Field

Industrial Statistics and Business Analytics

Sotiris Bersimis is a Professor of Industrial Statistics and Business Analytics at the Department of Business Administration of the University of Piraeus and an elected member of International Statistical Institute. From June 2010 to April 2022, he served as a Lecturer, Assistant Professor, Associate Professor at the Department of Statistics and Insurance Science of the University of Piraeus while on parallel from September 2020 to April 2022, he served as the Chair of Department of Statistics and Insurance Science of the University of Piraeus as well as a member of the Senate of the University of Piraeus. From 2014 to 2023 he was an elected member of the board of directors of the National (Greek) Statistical Institute. He is a PhD holder in Statistics and Probability, from the Statistics and Insurance Science Department of the University of Piraeus. He also holds an MSc in Statistics from Athens University of Economics and Business and a BSc in Statistics and Insurance Science from the University of Piraeus. His doctoral research has been funded by a scholarship from the Hellenic General Secretary of Research and Technology. He has also been granted a post-doctoral fellow scholarship by the Hellenic State Scholarships Foundation. He has certified knowledge, among others, on “Management of Research, Technology and Innovation”. His research interests are mostly related to the development and implementation of stochastic models for processes monitoring (processes’ quality control, clinical trials monitoring, patients’ surveillance, quality of services) as well as with the theory of runs and patterns. He has published more than 80 papers in international scientific journals (among others, Statistics in Medicine, Journal of Quality Technology, Journal of Multivariate Analysis, Annals of the Institute of Statistical Mathematics, Biometrical Journal) or international peer-reviewed volumes (e.g.Handbook of Scan Statistics and Recent Progress in Computational Sciences and Engineering) and conferences’ proceedings while his work has been presented in more than 150 Greek and International Conferences (more than 110 in International Conferences). He has more than 2300 citations according to Google Scholar (September 2024). His work entitled “Multivariate Statistical Process Control Charts: An Overview”, published in “Quality and Reliability Engineering International” journal, is the most cited paper of the journal (September 2024) and one of the most influential papers in the area of Statistical Process Monitoring. For the period 2013 – 2015 he was granted a fund within the framework of “Excellence II” of the General Secretary of Research and Technology and initiated the research team “Process Monitoring Group” with objective the development of research in the domain of industrial statistics. Finally, his teaching involves mainly “Industrial Statistics”, “Business Analytics”, “Health Analytics & Statistics”, and “Statistical Machine Learning”.

Information

Current Positions. Sotiris Bersimis is a Professor of Industrial Statistics and Business Analytics at the Department of Business Administration of the University of Piraeus and an elected member of International Statistical Institute. Moreover, he belongs to the collaborating educational staff of the Hellenic Open University.

Previous Academic Experience. From June 2010 to April 2022, He served as a Lecturer, Assistant Professor, Associate Professor at the Department of Statistics and Insurance Science of the University of Piraeus while on parallel from September 2020 to April 2022, He served as the Chair of Department of Statistics and Insurance Science of the University of Piraeus as well as a member of the Senate of the University of Piraeus. Moreover, from 2014 to 2023 he was an elected member of the board of directors of the National (Greek) Statistical Institute. He also represented National (Greek) Statistical Institute at Federation of European National Statistical Societies (FenStats) and at European Courses in Advanced Statistics (ECAS).

Research Interests. His research interests are mostly related to the development and implementation of stochastic models for processes monitoring as well as with the theory of runs and patterns. Moreover, he works in the fields of health and health insurance advanced analytics using statistical machine learning techniques.

Education. He is a PhD holder in Statistics and Probability, from the Statistics and Insurance Science Department of the University of Piraeus. He also holds an MSc in Statistics from Athens University of Economics and Business and a BSc in Statistics and Insurance Science from the University of Piraeus. His doctoral research has been funded by a scholarship from the Hellenic General Secretary of Research and Technology. He has also been granted a post-doctoral fellow scholarship by the Hellenic State Scholarships Foundation.

Current Teaching: He teaches “Statistics”, “Business Analytics”, “ML & AI in Business” in the Department of Business Administration and “Business Analytics” in a post-graduate level in the “Executives MBA” of the “Department of Business Administration”. In addition, he belongs to the collaborating educational staff of the Hellenic Open University.

Teaching Experience. In the past, he has taught “Statistics” in the “Department of Industrial Management and Technology”, “Statistics” in the “Department of Economics” and “Introduction to Statistics and Probability”, “Statistical Quality Control”, “Statistical Computing”, “Biostatistics” and “Non-Parametric Statistics” in the “Department of Statistics and Insurance Science” as well as “Business Analytics”, “Statistical Machine Learning”, “Statistical Quality Control”, “Biostatistics and Epidemiology” and “Clinical Trials” in a post-graduate level in the “Department of Statistics and Insurance Science” and “Business Analytics” in a post-graduate level in the “Executives MBA” of the “Department of Business Administration”. Apart from his teaching assignments at the University of Piraeus he has taught at the University of Athens, at Panteion University of Social and Political Sciences, at the University of Thessaly, at the University of Central Greece and at the Harokopio University of Athens. Moreover, he has been a member of the educational staff of the Hellenic Open University for the past twenty years, teaching specialized matters related to Quality Assurance in postgraduate programs. He has also taught in a vast number of seminars pertaining Vocational Training especially in “Biostatistics”, “Statistical Quality Control” and “Business Analytics”.

Research Output. He has published more than 80 papers in international scientific journals (among others, Statistics in Medicine, Biometrical Journal, Australian & New Zealand Journal of Statistics, Statistical Papers, Quality Technology and Quantitative Management, Journal of Applied Stochastic Models in Business and Industry, European Journal of Operational Research, journal of Quality Technology, Methodology and Computing in Applied Probability, Journal of Multivariate Analysis, Annals of the Institute of Statistical Mathematics, Statistical Methods and Applications, Journal of Applied Statistics) or peer-reviewed volumes (e.g.Handbook of Scan Statistics and Recent Progress in Computational Sciences and Engineering) and conferences’ proceedings while his work has been presented in more than 150 Greek and International Conferences (more than 105 in International Conferences).

Research Metrics. The citations on his published work in the international literature exceed 2300 (Google Scholar, 09/2024, GSP) while according to Google Scholar the h-index is equal to 22 (Google Scholar identifies 78 papers). Scopus currently identifies 63 scientific papers co-authored by 91  scientists across the world, which have been cited 1282 times by 1151 documents. Scopus gives an h-index equal to 17. Moreover, according to Scopus, approximately 20% of his papers have been co-authored with researchers in other countries/regions (USA, Canada, Australia, UK, France, etc). In addition, approximately 20% of his papers belong in the top 25% of the most cited papers worldwide. Finally, approximately 45% of his papers have been published in the top 25% of the scientific journals (as ranked by CiteScore). Finally, his work entitled “Multivariate Statistical Process Control Charts: An Overview”, published in “Quality and Reliability Engineering International” journal, is the most cited paper of the journal and one of the most influential papers in the area of Statistical Process Monitoring (3/2023).

Students’ Supervision. He is supervising a large number of master and PhD students. He has also supervised in the past a large number of master students and 2 post-doc researchers.

Profile in linkedin   Google Scholar Profile

Reviewing Experience. Concurrently, he has reviewed papers for more than 60 international scientific journals (among others, Technometrics, Methodology and Computing in Applied Probability, Australian & New Zealand Journal of Statistics, Statistical Papers, Quality Technology and Quantitative Management, International Journal of Statistics and Management System, Journal of Applied Stochastic Models in Business and Industry, European Journal of Operational Research, Operational Research, Journal of Computational Economics and Econometrics, International Journal of Production Research, International Journal of Quality, Statistics, and Reliability, journal of Quality Technology, Business & Society, Statistics in Medicine, Communications in Statistics – Theory and Methods, Communications in Statistics – Simulation and Computation, Computers & Industrial Engineering, Quality Engineering, Journal of Applied Statistics, BMC Research Notes) and for more than 20 conferences.

Editorial Work. He has served as guest editor in an issue of the international scientific journal “Quality, Technology and Quantitative Management” and he is currently serving as a guest editor in a publication of the international series of books entitled Advanced Research in Reliability and System Assurance Engineering (Title of volume “Statistical Methods and Applications in Systems Assurance and Quality”). Moreover, he is currently serving as a guest editor in an issue of the international scientific journal “World”.

International Activities. He actively participates in many Scientific Associations, such as the International Society for Business and Industrial Statistics (ISBIS), the European Network for Business and Industrial Statistics (ENBIS), the American Society for Quality (ASQ). He was also an elected member of International Statistical Institute (ISI) during the period 2014 to 2023. Additionally, he was the representative of the National (Greek) Statistical Society at the Federation of European Statistical National Societies (FenSTATs) as well as on the board of ECAS (European Courses in Advanced Statistics).

Research Funding. He has participated in many publicly funded research programs. Namely, for the period 2014 – 2015 he was granted a fund regarding a research program, from the Ministry of Education, Research and Religious Affairs, within the framework of “Aristeia II” (Excellence II) of the General Secretary of Research and Technology. In this context, he developed the research team “Process Monitoring Group” (PMG) with the basic objective of developing research in this specific sector. Finally, he is a member of the Assessment Committee of National Bank’s “i-bank Innovation and technology” contest.

Conferences’ Organization. He has organized many International Scientific Conferences and Meetings, including the “International Symposium on Statistical Process Control” held in 2013 (ISSP2013), the “Applied Stochastic Models and Data Analysis”  held in 2015 (ASMDA2015) and the “International Society for Business and Industrial Statistics” meeting held in 2018 (ISBIS2018). He has been a member of the Organizing Committee of the “28th European Meeting of Statisticians” in 2010 (EMS2010), along with the 26th, 27th and 28th “Panhellenic Conference of Statistics” of the Greek Statistical Institute during the period 2013 to 2015. Additionally, he served as a member of the scientific committee for the 29th and the 30th “Panhellenic Conference of Statistics” of the Greek Statistical Institute during the period 2016-2017. He has acted as member of the Scientific Committee of the “International Symposium on Statistical Process Monitoring” which took place in Italy in 2015 (ISSPM2015), of the “International Symposium on Statistical Process Monitoring” which took place in South Korea in 2017 (ISSPM2017), of the “International Symposium on Statistical Process Monitoring” which took place in Tunisia in 2019 (ISSPM2019) and of the “International Symposium on Statistical Process Monitoring” which took place in Spain in 2023 (ISSPM2023). Apart from the above mentioned scientifically oriented conferences, he has also coordinated sessions of multiple areas of interest, in a National and International level. During the International Society for Business and Industrial Statistics that took place in Barcelona, Spain, 2016 agreed to write a discussion paper on statistical methods applied on the healthcare industry, based on his broad experience in Greece.

Future Conferences’ Organization. He has undertaken the organization of many conferences for the near future. Specifically, he will chair the next conference of the “European Network for Business and Industrial Statistics” (ENBIS), the next conference of the “Applied Stochastic Models and Data Analysis” (ASMDA), and of the “International Conference on Business Analytics in Practice” (ICBAP).

One Day Conferences’ Organization. In October 2020 he co-organized the “Data Analytics and Machine Learning for Insurance Fraud Detection” event which aimed to provide valid scientific knowledge as well as to contribute to businesses and organizations protection against fraud. Specific emphasis has been given in the health sector. In June 2019, he co-organized the “Data Analytics for Insurance Fraud Detection” event. In 2013 he participated in the organizing committee of the workshop “Knowledge development with the partnership of Public entities, potentials and perspectives” held at the University of Piraeus. He was also a member of the organizing committee of the summer school named “Reliability and Statistical Quality Control” which was held during the period of June – July 2016 in Karlovasi – Samos.

Research Collaborations. As part of his research activity he has collaborated with a great number of public clinics, pharmaceutical companies and scientific medical organizations. He has collaborated, inter alia, with the HIV unit of Andreas Syggros Hospital, the University of Athens Gynecological Clinic, with the smoking cessation Unit of Eugenideio Hospital, the Laiko Hospital Endocrinological Clinic, the hypertension unit of Evangelismos Hospital, the microbiological Unit of Aretaieio Hospital, the Athens Medical Society and the Hellenic Society of Nephrology among others.

Published Books. He has co-authored 8 books written in Greek related to Applied Statistics in Health Sciences, Applied Statistics and Statistical Machine Learning using R, Python and IBM SPSS Statistics, Mathematics and Informatics.

E-Learning Platforms. Since 2006, he has developed the Educational Portal Learn-Biostatistics.gr which is addressed to Health Scientists, having as main objective to introduce all prospective users in the basic concept and methodologies of Statistics and how these can be implemented into health issues (www.Learn-Biostatistics.gr). Now he is developing the Educational Portal Learn-DataScience.gr.

Profile in linkedin   Google Scholar Profile

Top Management Positions in the Public Sector. During the period 12/2015 – 1/2019 Sotiris Bersimis served as the President of the Hellenic Organization for Health Care Services Provision (HOHCSP) which is a social security fund responsible for providing health care services to all Greek citizens (11 million citizens). HOHCSP is the largest public organization in the country and one of the biggest social security funding organizations in Europe, with more than 100 service points, 1.500 employees, 35.000 associate healthcare providers, 11 million potential beneficiaries of healthcare services and an annual budget of 5.5 billion euros. As part of his duties, he currently serves as a member in many governmental committees (Highest National Committee for Greek Health, e-Health Committee, Committee for the Development of Greek Pharmaceutical Industry, etc).

During this period he has implemented Statistical methodologies and analytics in every aspect of administrative action, having as main objective the overall sustainability of the system’s structure in the interests of the stakeholders but mainly for the benefit of the Greek citizens and succeded to: (a) Drastically improved the financials of the Organization, decreasing arrears approximately by 90% in a three years’ period (from € 2.0 billion at the beginning of year 2016 to € 0.2 billion at the end of the year 2018). The normalization of the cash flows and the rationalization of expenses rendered the Organization viable in the crucial bend of the financial crisis in Greece. (b) The rationalization of expenses was based on the extensive use of statistics in the Organization’s management processes. Implemented six-sigma methodology in every aspect of administrative action, having as main objective the overall sustainability of the system’s structure. (c) He was the first tο propose to the Hellenic parliament to vote laws in which statistical methodology would be used in the assessment and control of healthcare services providers. The parliament voted for these laws and the use of statistics incorporated in the toolbox to combating fraud and waste in the healthcare sector, for the first time in the Hellenic State. (d) Introducing digital transformation in the public healthcare administration by designing and implementing innovative software systems. The critical point of his success was the added value management he created through innovation using state of the art technology and statistics.

International Positions. During the period 4/2018 – 1/2019 Sotiris Bersimis has been elected  and served as the president of European Healthcare Fraud & Corruption Network (EHFCN) after significant members of the Organization supported his nomination for the position by recognizing his excellence in designing innovative solutions, combining statistical methods and new technologies as well as being proactive against fraud. EHFCN is a european organization, with a seat in Brussels, founded in 2005, having as members organizations concerned with healthcare and counter fraud issues in Europe.

Awards. For his success, he was honored with the 2018 “Best Manager Award” from the European Network for Business and Industrial Statistics (ENBIS) and at the same period, he received public honors from the Prime Minister of the country for his contribution. ENBIS is an autonomous Society, located in Amsterdam, having as main objective the development and improvement of statistical and analytical methods, and their application in European Business and Industry throughout Europe. ENBIS has adopted the subsequent points (among others) as its vision: to promote the widespread use of sound science driven, applied statistical methods in European business and industry management, to emphasize multidisciplinary problem solving involving statistics, to facilitate the rapid transfer of statistical methods and related technologies in business and industry. ENBIS has established the Best Manager Award to recognize managers who gave a significant contribution to the success of their companies by advancing the spread and the practice of business and industrial statistics. The 2018 Best Manager Award has been awarded to Sotirios Bersimis, President of the Greek National Organization of Healthcare Services Provision. As the ENBIS committee wrote “Sotiris Bersimis has been using his theoretical insights into statistics to help manage the efforts aimed at continuously improving quality of healthcare services in Greece”. It is the first time that the Best Manager Award has been awarded to a manager from Greece as well as to a person managing a public organization. Previously, the Best Manager Award was awarded to managers engaged in the private sector (Kraft Foods, Coca-Cola, Bosch, General Motors, Novo Nordisk, Janssen Pharmaceutical, EDF Group France, Novartis, etc).

Currently Teaching:

  • Introduction to Statistics and Probability (undergraduate level)
  • Business Analytics (undergraduate and postgraduate level)
  • Machine Learning and AI in Business (undergraduate level)

Published or Accepted Papers in International Scientific Media:

  1. S. Bersimis, A. Sachlas, P. Economou (2024). Monitoring Defects on Products’ Surface by Incorporating Scan Statistics into Process Monitoring Procedures, Quality and Reliability Engineering International, https://doi.org/10.1002/qre.3652.
  2. S. Bersimis, A. Rakitzis and S. Chakraborti (2024). Pattern Detection in Phase I Monitoring Using Runs-Based Tests, Communications in Statistics – Simulation and Computation, 53 (6), 2675-2691.
  3. G. Papageorgiou, P. Economou and S. Bersimis (2024). A Method for Optimizing Text Preprocessing and Text Classification Using Multiple Cycles of Learning with an Application on Shipbrokers Emails, Journal of Applied Statistics, https://doi.org/10.1080/02664763.2024.2307535.
  4. S. Karatzas, G. Papageorgiou, V. Lazari, S. Bersimis, A. Fousteris, P. Economou, A. Chassiakos (2024). A Text Analytic Framework for Gaining Insights on the Integration of Digital Twins and Machine Learning for Optimizing Indoor Building Environmental Performance, Developments in the Built Environment, https://doi.org/10.1016/j.dibe.2024.100386.
  5. G. Arvanitopoulos, S. Bersimis and P. Economou (2024). Sequential Text Analytics: Monitoring Chronic Patients Health Status by Utilizing Large Language Models. Big Data and Cognitive Computing, Revised Paper (September 2024).
  6. A. Karaminas, P. Economou and S. Bersimis (2024). Improving Healthcare Services using Machine Learning Techniques, Ιn Statistical Methods and Applications in Systems Assurance & Quality, Taylor & Francis, UK. Revised Paper (September 2024).
  7. C. Spyropoulos, P. Economou and S. Bersimis (2024). The Value of Data Exploitation in Sports Industry: An Overview, Ιn Statistical Methods and Applications in Systems Assurance & Quality, Taylor & Francis, UK. Accepted Paper (February 2024).
  8. P.C. Theocharopoulos, S. Bersimis, S.V. Georgakopoulos, … (2024). Developing Predictive Precision Medicine Models by Exploiting Real-World Data using Machine Learning Methods, Journal of Applied Statistics, https://doi.org/10.1080/02664763.2024.2315451.
  9. K. Skarlatos, G. Papageorgiou, P. Biris, E. Skamnia, P. Economou and S. Bersimis (2024). Ship Engine Model Selection by Applying Machine Learning Classification Techniques Using Imputation and Dimensionality Reduction, Journal of Marine Science and Engineering, 12 (1), 97; https://doi.org/10.3390/jmse12010097 .
  10. A. Skamnia, P. Economou, S. Bersimis (2024). Detect outliers, breakpoints and level shifts in short financial time series, Communications in Statistics: Case Studies, Data Analysis and Applications, https://doi.org/10.1080/23737484.2023.2293691.
  11. S. Bersimis, P. Economou and A. Sachlas (2023). Public Health Monitoring Using Control Charts Based on Convex Hull, Research in Statistics, 1 (1), 2246448, https://doi.org/10.1080/27684520.2023.2246448.
  12. A. Alexandropoulou, A. Fousteris, E. Didaskalou, S. Bersimis and D. Georgakellos (2023). Urban Health in Urban Planning – Exploring the Status: A Survey in Greek Local Authorities, Sustainability, 15(17), 12955; https://doi.org/10.3390/su151712955.
  13. K. Skarlatos, A. Fousteris, D. Georgakellos, P. Economou and S. Bersimis (2023). Assessing Ships’ Environmental Performance using Machine Learning, Energies, 16 (6), 2544; https://doi.org/10.3390/en16062544.
  14. K. Skarlatos, E. Bekri, D. Georgakellos, P. Economou and S. Bersimis (2023). Projecting Annual Rainfall Timeseries Using Machine Learning Techniques, Energies, 16 (3), 1459; https://doi.org/10.3390/en16031459.
  15. A. Skamnia, P. Economou, S. Bersimis, M. Frouda, A. Politis and P. Alexopoulos (2022). Hot Spot Identification Method Based on Andrews Curves: An Application on the COVID-19 Crisis Effects on Caregiver Distress in Neurocognitive Disorder, Journal of Applied Statistics, doi.org/10.1080/02664763.2021.2022607.
  16. S. Bersimis and A. Sachlas (2022). Surveilling Public Health Through Statistical Process Monitoring: A literature Review and a Unified Framework, Communications in Statistics: Case Studies, Data Analysis and Applications, 8 (3), 515-543.
  17. S. Bersimis, A. Sgora and S. Psarakis (2021). A Robust Meta-Method for Interpreting the Out-of-Control Signal of Multivariate Control Charts Using Artificial Neural Networks, Quality and Reliability Engineering International, doi.org/10.1002/qre.2955.
  18. V.A. Molaris, K. Triantafyllopoulos, G. Papadakis, P. Economou, and S. Bersimis (2021). The Effect of COVID-19 on Minor Dry Bulk Dhipping: A Bayesian Time Series and a Neural Networks Approach, Communications in Statistics: Case Studies, Data Analysis and Applications, 7 (4), 624-638.
  19. S. Bersimis, A. Sachlas, and M.V. Koutras (2020). Health Monitoring Techniques Using Scan Statistics. In Handbook of Scan Statistics. Glaz & Koutras, (eds). Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8414-1_54-1.
  20. S. Bersimis, M.V. Koutras, and A.C., Rakitzis (2020). Run and Scan Rules in Statistical Process Monitoring. In Handbook of Scan Statistics. Glaz & Koutras, (eds). Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8414-1_55-1.
  21. D. Dede, E. Didaskalou, S. Bersimis and D. Georgakellos (2020). A Statistical Framework for Assessing Environmental Performance of Quality Wine Production, Sustainability, 12 (24), 10246.
  22. S. Bersimis and K. Triantafyllopoulos (2020). Dynamic Non-Parametric Monitoring of Air Pollution, Methodology and Computing in Applied Probability, 22, 1457–1479.
  23. A. Sachlas, S. Bersimis and S. Psarakis (2019). Risk-Adjusted Control Charts: Theory and Applications, Statistics in Biosciences, 11 (3), 630–658.
  24. G. Bartzis and S. Bersimis (2019). Performance Comparisons of Bivariate Dispersion Control Charts, Communications in Statistics: Case Studies, Data Analysis and Applications, 6 (1), 69-85.
  25. F. Zachariou, I. Voulgari, E. Tsami, and S. Bersimis (2019). Exploring the Attitudes of Secondary Education Students on Environmental Education in Relation to their Perceptions on Environmental Problems: The Case of the Prefecture of Viotia, Interdisciplinary Journal of Environmental and Science Education, 16 (1), AN: e02208.
  26. S. Bersimis and A. Sachlas (2019). An One-Sided Procedure for Monitoring Variables Defined on Contingency Tables, Journal of Quality Technology, 51 (2), 125-142.
  27. S. Bersimis, A. Sgora, and S. Psarakis (2018). The Application of Multivariate Statistical Process Monitoring in Non-Industrial Processes, Quality Technology & Quantitative Management, 15 (4), 526-549.
  28. S. Bersimis, A. Sachlas and T. Papaioannou (2018). Monitoring Phase II Comparative Clinical Trials with Two Endpoints and Penalty for Adverse Events, Methodology and Computing in Applied Probability, 20 (2), 719-738.
  29. S. Bersimis, A. Sachlas and S. Chakraborti (2018). A Sequential Test for Assessing Observerd Agreement Between Raters, Biometrical Journal, 60 (1), 128–145.
  30. S. Bersimis, A. Sachlas and R. Sparks (2017). Performance Monitoring and Competence Assessment in Health Services, Methodology and Computing in Applied Probability, 19 (4), 1169-1190.
  31. S. Bersimis, A. Sachlas and P. Castagliola (2017). Controlling Bivariate Categorical Processes Using Scan Rules, Methodology and Computing in Applied Probability, 19 (4), 1135-1149.
  32. S. Bersimis, A. Sgora and S. Psarakis (2017). Methods for Interpreting the Out-of-Control Signal of Multivariate Control Charts: A Comparison Study, Quality and Reliability Engineering International, 33 (8), 2295–2326.
  33. F. Zachariou, E. Tsami, C. Chalkias, S. Bersimis (2017). Teachers’ Attitudes Towards the Environment and Environmental Education: An Empirical Study, International Journal of Environmental and Science Education, 12 (7), 1567-1593.
  34. C. Agapitou, D. Georgakelos and S. Bersimis (2017). Appraisal of CRM Implementation as Business Strategy Option in Times of Recession: The Role of Perceived Value and Benefits, International Journal of Business Science & Applied Management, 12 (2), 18-31.
  35. S. Bersimis and P. Economou (2017). The Use of the Length-Biased Distribution in Statistical Monitoring, Australian & New Zealand Journal of Statistics, 59 (2), 155-167.
  36. S. Bersimis, A. Sachlas and P. Baggos (2017). Discriminating Membrane Proteins Using the Joint Distribution of Length Sums of Success and Failure Runs, Statistical Methods and Applications, 26 (2), 251-272.
  37. S. Bersimis, S. Degiannakis and D. Georgakellos (2017). Real-Time Monitoring of Carbon Monoxide Using Value-at-Risk Measure and Control Charting, Journal of Applied Statistics, 44(1), 89-108.
  38. T. Karvounidis, K. Chimos, S. Bersimis, and C. Douligeris (2017). Factors, Issues and Interdependencies in the Incorporation of a Web 2.0 Based Learning Environment in Higher Education, Education and Information Technologies, 12 (7).
  39. S. Bersimis and K. Triantafyllopoulos (2016). Phase II Control Charts for Autocorrelated Processes, Quality Technology & Quantitative Management, 13 (1), 88-108.
  40. V. Kordinas, G. Tsirpanlis, C. Nicolaou, M. Zoga, A. Ioannidis, V. Ioannidou, S. Bersimis, C. Petrihou, L. Savva, N. Legakis, and S. Chatzipanagiotou (2015). Is there a connection between Inflammation, telomerase activity and transcriptional status of telomerase reverse transcriptase in renal failure?, Cellular & Molecular Biology Letters, 20 (2), 222-236.
  41. T. Karvounidis, K. Chimos, S. Bersimis, and C. Douligeris (2015). i-SERF: An integrated Self-Evaluated and Regulated Framework for Deploying Web 2.0 Technologies in the Educational Process, Electronic Journal of e-Learning, 13 (5).
  42. S. Bersimis, A. Sachlas and T. Papaioannou (2015). Flexible Designs for Phase II Comparative Clinical Trials Involving Two Response Variables, Statistics in Medicine, 34 (2), 197-214.
  43. T. Karvounidis, K. Chimos, S. Bersimis and C. Douligeris (2014). Evaluating Web 2.0 technologies in higher education using students’ perceptions and performance, Journal of Computer Assisted Learning, 30 (6), 577-596.
  44. E. Gklavopoulos, S. Bersimis, D. Georgakellos and M. Sfakianakis (2014). Investigating the factors affecting companies’ attitudes towards CSR and CER during the fiscal crisis in Greece, Journal of Environmental Planning and Management, 57 (11), 1612-1641.
  45. B. Zegaer, A. Ioannidis, G. Babis, V. Ioannidou, A. Kossyvakis, S. Bersimis, J. Papaparaskevas, E. Petinaki, P. Pliatsika, S. Chatzipanagiotou (2014). Detection of bacteria bearing resistant biofilm forms, by using the universal and specific PCR is still unhelpful in the diagnosis of periprosthetic joint infections (PJI), Infectious Diseases, 1:30. doi:10.3389/fmed.2014.00030.
  46. S. Bersimis, C. Chalkias and T. Anthopoulou (2014). Detecting and Interpreting Clusters of Economic Activity in Rural Areas Using Scan Statistic and LISA Under a Unified Framework, Applied Stochastic Models in Business, and Industry, 30 (5), 573–587.
  47. A. Ioannidis, A. Kyratsa, V. Ioannidou, S. Bersimis and S. Chatzipanagiotou (2014). Detection of Biofilm Production of Yersinia enterocolitica Strains Isolated from Infected Children and Comparative Antimicrobial Susceptibility of Biofilm Versus Planktonic Forms, Molecular Diagnosis & Therapy, 18, (3), 309-314.
  48. C. Gratziou, A. Florou, E. Ischaki, K. Eleftheriou, A. Sachlas, S. Bersimis and S. Zakynthinos (2014). Smoking Cessation Effectiveness in Smokers with COPD and Asthma Under Real Life Conditions, Respiratory Medicine, 108 (4), 577–583.
  49. S. Bersimis, PE Maravelakis and M.V. Koutras (2014). A Compound Control Chart for Monitoring and Controlling High Quality Processes, European Journal of Operation Research, 233 (3), 595–603.
  50. S. Bersimis, M.V. Koutras and G. Papadopoulos (2014). Waiting Time for an Almost Perfect Run and Applications in Statistical Process Control, Methodology and Computing in Applied Probability, 16 (1), 207-222.
  51. G. Papadakis, N.A. Okoba, C. Nicolaou, F. Boufidou, A. Ioannidis, S. Bersimis, S. Chatzipanagiotou (2013). Serologic markers for HBV, HCV and HIV in immigrants visiting the Athens’ polyclinic of ‘Doctors of the World e Greece’, Public Health, 127 (11), 1045-1047.
  52. A. Ioannidis, K. Papavasileiou, E. Papavasileiou, S. Bersimis and S. Chatzipanagiotou (2013). Distribution of Six Effector Protein Virulence Genes Among Salmonella enterica enterica Serovars Isolated from Children and their Correlation with Biofilm Formation and Antimicrobial Resistance, Molecular Diagnosis & Therapy, 17 (5), 311-317.
  53. N. Nannos, S. Bersimis and D. Georgakellos (2013). Evaluating Climate Change in Greece Through the Insurance Compensations of the Rural Production Damages, Global and Planetary Change, 102, 51–66.
  54. S. Bersimis and D. Georgakellos (2013). A Probabilistic Framework for the Evaluation of Products’ Environmental Performance Using Life Cycle Approach and Principal Component Analysis, Journal of Cleaner Production, 42 (3), 103–115.
  55. K. Chimos, T. Karvounidis, C. Douligeris, M. Basios and S. Bersimis (2013). Unisuite: An innovative integrated suite for delivering synchronous and asynchronous online education, In Proceedings of the 2013 IEEE Global Engineering Education Conference (EDUCON), 2013, pp. 400-404, doi: 10.1109/EduCon.2013.6530136.
  56. K Souliotis, C Lionis, M Papadakaki, M Papageorgiou, I Tsiaousi and S. Bersimis (2013). The economic burden of herpes zoster on patients visiting primary care settings in Greece – Results from a multicentre study in Crete, European Geriatric Medicine, 4 (S10), S117-S118.
  57. T. Karvounidis, K. Chimos, S. Bersimis and C. Douligeris (2012), An integrated self-evaluated framework for embedding Web 2.0 technologies in the educational process, In Proceedings of the 2012 IEEE Global Engineering Education Conference (EDUCON), 2012, pp. 1-7, doi: 10.1109/EDUCON.2012.6201093.
  58. I. Marinou, S. Bersimis, A. Ioannidis, C. Nicolaou, A. Mitroussia-Ziouva, N.J. Legakis, and S. Chatzipanagiotou (2012). Identification and Antimicrobial Resistance of Campylobacter Species Isolated from Animal Sources, Frontiers in Food Microbiology, 3, doi: 10.3389/fmicb.2012.00058.
  59. V. Kordinas, C. Nicolaou, G. Tsirpanlis, A. Ioannidis, S. Bersimis, N. Sabanis, E. Fragou, K. Tsiolaki and S. Chatzipanagiotou (2012). Transcription of the Tumor Suppressor Genes p53 and RB in Lymphocytes from Patients with Chronic Kidney Disease. Evidence of molecular senescence?, International Journal of Nephrology, doi:10.1155/2012/154397.
  60. K. Papavasileiou, E. Papavasileiou, A. Tseleni-Kotsovili, S. Bersimis, C. Nicolaou, A. Ioannidis and S. Chatzipanagiotou (2010). Comparative Antimicrobial Susceptibility of Biofilm Versus Planktonic Forms of Salmonella Enterica Strains Isolated from Children with Gastroenteritis, European Journal of Clinical Microbiology & Infectious Diseases, 29 (11), 1401-1405.
  61. D. Ghinis, K. Korres and S. Bersimis (2009). Difficulties Greek Senior High School Students Identify in Learning and the Teaching of Statistics: The Case of Experimental and Private High Schools, Journal of Statistics Education, 17 (3).
  62. P.E. Maravelakis and S. Bersimis (2009). The Use of Andrews Curves for Detecting the Out Of Control Variables when a Multivariate Control Chart Signals, Statistical Papers, 50 (1), 51-65.
  63. N. Balakrishnan, S. Bersimis and M.V. Koutras (2009). Run And Frequency Quota Rules In Process Monitoring And Acceptance Sampling, Journal of Quality Technology, 41 (1), 66-81.
  64. M.V. Koutras, P.E. Maravelakis and S. Bersimis (2008). Techniques for Controlling Bivariate Grouped Observations, Journal of Multivariate Analysis, 99 (7), 1474-1488.
  65. N. Kechagia, S. Bersimis and S. Chatzipanagiotou (2008). Incidence and antimicrobial susceptibilities of genital mycoplasmas in outpatient women with clinical vaginitis in Athens, Greece, Journal of Antimicrobial Chemotherapy, 62 (1), 122-125.
  66. M.V. Koutras, S. Bersimis and D.L. Antzoulakos (2008). Bivariate Markov Chain Embeddable Variables of Polynomial Type, Annals of the Institute of Statistical Mathematics, 60 (1), 173-191.
  67. S. Bersimis, S. Psarakis and J. Panaretos (2007). Multivariate Statistical Process Control Charts: An Overview, Quality and Reliability Engineering International, 23 (5), 517-543.
  68. M.V. Koutras, S. Bersimis and P.E. Maravelakis (2007). Statistical Process Control using Shewhart Control Charts with Supplementary Runs Rules, Methodology and Computing in Applied Probability, 9 (2), 207–224.
  69. J. Papatriantafillou MD, N. Sifakis MD, V. Valotasiou MD, S. Bersimis, C. Boulas MD, N. Tsinia, P. Zikos MD, T. Visviki, and C.E. Karageorgiou MD. (2007). Anatomical regions mediating neuro-psychiatric symptoms in dementia, European Journal of Neurology, 14 (S1), 165–30.
  70. A. Sachlas, T. Papaioannou, and S. Bersimis (2007). Controlling Non-Normal Multivariate Processes using Information Theoretic Control Charts, In Proceedings of the 9th Hellenic European Conference on Computer Mathematics and its Applications, Athens, Greece, 2007.
  71. N. Sifakis, J. Papatriantafyllou, B. Valotassiou, S. Bersimis, C., Boulas, C. Karageorgiou, P. Georgoulias, and C. Zerva (2007). Correlation of rCBF Abnormalities and Neuropsychiatric Symptoms in Degenerative Dementias, European Journal of Nuclear Medicine and Molecular Imaging, 34, S2, 105-440.
  72. I. Varlamis and S. Bersimis (2006). Providing shortcuts to the learning process, In Recent Progress in Computational Sciences and Engineering, Edited by Th. Simos & G. Maroulis, Lecture Series on Computer and Computational Sciences, Volume 7A, Brill Academic Publishers, ISBN-13: 9789004155428.
  73. M.V. Koutras, S. Bersimis and D.L. Antzoulakos (2006). Improving the Performance of the Chi-Square Control Chart via Runs Rules, Methodology and Computing in Applied Probability, 8 (3), 409–426.
  74. S. Bersimis, J. Panaretos, and S. Psarakis (2005). Multivariate Statistical Process Control Charts and the Problem of Interpretation: A Short Overview and Some Applications in Industry, In Proceedings of the 7th Hellenic European Conference on Computer Mathematics and its Applications, Athens, Greece, 2005.
  75. A. Rakitzis and S. Bersimis (2005) Detection of non-random patterns in Shewhart control charts: methods and applications, In Proceedings of the 7th Hellenic European Conference on Computer Mathematics and its Applications, Athens, Greece, 2005.
  76. D. Ghinis, T. Chadjipantelis and S. Bersimis (2005). Experiences From Teaching Statistics Using Directed Projects In Greek Elementary School, Teaching Statistics, 27 (1), 2-7.
  77. A. Vassiliou, D.G. Tambouratzis, M.V. Koutras and S. Bersimis (2004). A New Similarity Measure and Its Use in Determining the Number of Clusters in a Multivariate Data Set, Communications in Statistics – Theory and Methods, 33 (7), 1643-1666.
  78. D.L. Antzoulakos, S. Bersimis and M.V. Koutras (2003). On the Distribution of the Total Number of Run Lengths, Annals of the Institute of Statistical Mathematics, 55 (4), 865-884.
  79. D.L. Antzoulakos, S. Bersimis and M.V. Koutras (2003). Waiting Times Associated with the Sum of Success Run Lengths, In Mathematical and Statistical Methods in Reliability, Edited by B. Lindqvist & K. Doksum, Series on Quality, Reliability and Engineering Statistics, Volume 7, World Scientific, ISBN-981-238-321-2.
  80. T. Chadjipantelis, D. Ghinis and S. Bersimis. Directed Projects, an Effective Way of the Educational Approach Statistics in School, In Proceedings of 3rd Mediterranean Conference on Mathematical Education, 475-482.
  81. P.E. Maravelakis, S. Bersimis, J. Panaretos and S. Psarakis (2002). Identifying the Out-of-Control Variable in a Multivariate Control Chart, Communications in Statistics – Theory and Methods, 31 (12), 2391-2408.

 

Submitted Papers in International Scientific Media:

  1. E. Nika, T. Tsiampalis, A. Sachlas, E. Liberopoulos, S. Bersimis, and D. Georgakellos. A Data-Driven Approach for Estimating Type 2 Diabetes-Related Costs in Greece. Submitted Paper (May 2024).
  2. G. Papageorgiou, P. Economou and S. Bersimis (2024). Real-time Monitoring of Streaming Text Data by Integrating Text Visualization Techniques and Natural Language Processing. Submitted Paper (September 2024).
  3. K. Skarlatos, P. Economou, P.E. Maravelakis and S. Bersimis (2024). A New Separability Index for Anomaly Detection in Highly Correlated Multivariate Data Streams. Submitted Paper (September 2024).

 

Publications in National Conferences’ Proceeding (in Greek):

  1. Α. Σαχλάς, Σ. Μπερσίμης και S. Chakraborti (2016). “Ένας Ακολουθιακός Έλεγχος για την Αξιολόγηση της Συμφωνίας μεταξύ Βαθμολογητών“, πρακτικά 29ου Πανελλήνιου Συνέδριου Στατιστικής.
  2. Α. Σαχλάς, Σ. Μπερσίμης και Τ. Παπαιώαννου (2014). “Επεκτάσεις των Κανόνων Διακοπής για Συγκριτικές Κλινικές Δοκιμές Φάσης II με Χρήση Δύο Μεταβλητών Απόκρισης”, πρακτικά 27ου Πανελλήνιου Συνέδριου Στατιστικής.
  3. Α. Σαχλάς, Σ. Μπερσίμης και Τ. Παπαϊωάννου (2013). “Κανόνες Διακοπής για Πολυσταδιακές Συγκριτικές Κλινικές Δοκιμές Φάσης II με Χρήση Δύο Μεταβλητών Απόκρισης”, πρακτικά 26ου Πανελλήνιου Συνέδριου Στατιστικής.
  4. Θ. Καρβουνίδης, Κ. Χίμος, Σ. Μπερσίμης, Χ. Δουληγέρης (2013). ”Αποτίμηση ενός ολοκληρωμένου εκπαιδευτικού περιβάλλοντος με εργαλεία κοινωνικής δικτύωσης”, πρακτικά CIE2013-Conference on Informatics in Education.
  5. Θ. Καρβουνίδης, Κ. Χίμος, Σ. Μπερσίμης, Χ. Δουληγέρης (2011). ”Εφαρμογή Τεχνολογιών Κοινωνικής Δικτύωσης στην τριτοβάθμια εκπαίδευση: Σχεδιασμός και Οργάνωση”, πρακτικά CIE2011-Conference on Informatics in Education.
  6. Σ. Μπερσίμης, Π. Μαραβελάκης και Μ. Κούτρας (2007). “Ένα Διάγραμμα Ελέγχου για τον Έλεγχο Διεργασιών Υψηλής Ποιότητας με Ιδιότητες Ταχείας Αρχικής Αντίδρασης”, πρακτικά 20ου Πανελλήνιου Συνέδριου Στατιστικής.
  7. Σ. Μπερσίμης, Θ. Ανθοπούλου και Χ. Χαλκιάς (2007). “Ανίχνευση Συστάδων Έντονης Επιχειρηματικότητας των Γυναικών της Υπαίθρου με Χρήση Διδιάστατων Συναρτήσεων Σάρωσης”, πρακτικά 20ου Πανελλήνιου Συνέδριου Στατιστικής.
  8. Σ. Μπερσίμης και Μ. Κούτρας (2006). “Μελέτη του Χρόνου Αναμονής Μέχρι την Πρώτη Εμφάνιση μιας Σχεδόν Πλήρους Ροής”, πρακτικά 19ου Πανελλήνιου Συνέδριου Στατιστικής.
  9. Μ. Κούτρας, Π. Μαραβελάκης και Σ. Μπερσίμης (2006). “Μελέτη του Χρόνου Αναμονής Μέχρι την Πρώτη Εμφάνιση Ενδεχομένων σε μια Ακολουθία Πλειότιμων Δοκιμών με Εφαρμογές στον Έλεγχο Διεργασιών”, πρακτικά 19ου Πανελλήνιου Συνέδριου Στατιστικής.
  10. Σ. Μπερσίμης, Π. Μαραβελάκης και Μ. Κούτρας (2005). “Χρόνοι Αναμονής Μέχρι την Πρώτη Εμφάνιση Σχηματισμών σε μια Διδιάστατη Ακολουθία Τρίτιμων Δοκιμών”, πρακτικά 18ου Πανελλήνιου Συνέδριου Στατιστικής.
  11. Σ. Μπερσίμης, Δ. Αντζουλάκος και Μ. Κούτρας (2004). “Διδιαστατες Μεταβλητές Πολυωνυμικού Τύπου Εμφυτεύσιμες σε Μαρκοβιανή Αλυσίδα”, πρακτικά 17ου Πανελλήνιου Συνέδριου Στατιστικής.
  12. Ε. Παφίλη, Μ. Παπαδάκης και Σ. Μπερσίμης (2004). “Μελέτη για την Εκπαίδευση και την Επιλογή Επαγγέλματος στο Νομό Κυκλάδων – Μια Πρώτη Περιγραφή της Έρευνας και του Δείγματος”, πρακτικά 17ου Πανελλήνιου Συνέδριου Στατιστικής.
  13. Σ. Μπερσίμης, Δ. Αντζουλάκος και Μ. Κούτρας (2003). “Ένα Νέο Πολυμεταβλητό Διάγραμμα Έλεγχου με Χρήση Θεωρίας Ροών Επιτυχιών”, πρακτικά 16ου Πανελλήνιου Συνέδριου Στατιστικής.
  14. Π. Μαραβελάκης και Σ. Μπερσίμης (2003). “Ερμηνεία Του Εκτός Ελέγχου Σήματος Ενός Πολυμεταβλητού Διαγράμματος Ελέγχου με Χρήση των Καμπυλών Andrews”, πρακτικά 16ου Πανελλήνιου Συνέδριου Στατιστικής.
  15. Σ. Μπερσίμης, Δ. Αντζουλάκος και Μ. Κούτρας (2002). “Η Κατανομή του Συνολικού Μήκους των Ροών Επιτυχιών σε μια Ακολουθία Δίτιμων Δοκιμών”, πρακτικά 15ου Πανελλήνιου Συνέδριου Στατιστικής.
  16. Θ. Χατζηπαντελής, Δ. Γκίνης και Σ. Μπερσίμης (2002). “Αξιολόγηση της Εφαρμογής και της Αποτελεσματικότητας των Κατευθυνόμενων Εργασιών για τη Διδασκαλία της Στατιστικής”, πρακτικά 19ου Πανελλήνιο Συνέδριο Μαθηματικής Παιδείας.

 

Participation in Conferences’ Committees:

  • 25th Conference of the European Network for Business and Industrial Statistics, Piraeus, Greece, 2025. Head of Organizing Committee (to be organized).
  • 24th Conference of the European Network for Business and Industrial Statistics, Leuven, Belgium, 2023. Member of Scientific Program Committee (to be organized).
  • 7th International Symposium on Statistical Process Monitoring, Valencia, Spain, 2023. Member of Scientific Committee.
  • 35ο Πανελλήνιο Συνέδριο Στατιστικής του Ελληνικού Στατιστικού Ινστιτούτου, Αθήνα, 2023. Member of Scientific and Organizing Committee.
  • 20th Applied Stochastic Models and Data Analysis International Conference, Heraklion, Greece, 2023. Member of Scientific Committee.
  • 34ο Πανελλήνιο Συνέδριο Στατιστικής του Ελληνικού Στατιστικού Ινστιτούτου, Αθήνα, 2022. Member of Scientific and Organizing Committee.
  • 19th Applied Stochastic Models and Data Analysis International Conference, Athens, Greece, 2021. Member of Scientific Committee.
  • 2nd Conference on Data Analytics and Machine Learning for Insurance Fraud Detection, Piraeus, Greece, 2021. Member of Organizing Committee.
  • 1st Conference on Data Analytics and Machine Learning for Insurance Fraud Detection, Piraeus, Greece, 2021. Member of Organizing Committee.
  • 6th Stochastic Modeling Techniques and Data Analysis International Conference, Barcelona, Spain, 2020. Member of Scientific Committee.
  • 31ο Πανελλήνιο Συνέδριο Στατιστικής του Ελληνικού Στατιστικού Ινστιτούτου (2018), Λαμία. Member of Scientific Committee.
  • International Symposium on Business and Industrial Statistics (2018), Piraeus, Greece. Head of Organizing Committee.
  • 5th Stochastic Modeling Techniques and Data Analysis International Conference (2018), Chania, Greece. Member of Scientific Committee.
  • 5th International Symposium on Statistical Process Monitoring (2017), Seoul, South Korea. Member of Scientific Committee.
  • 17th Applied Stochastic Models and Data Analysis International Conference (2017), London, UK. Member of Scientific Committee.
  • 16th Applied Stochastic Models and Data Analysis International Conference (2015), Piraeus, Greece. Head of Local Organizing Committee.
  • 4th International Symposium on Statistical Process Monitoring (2015), Padova, Italy. Member of Scientific Committee.
  • 28ο Πανελλήνιο Συνέδριο Στατιστικής του Ελληνικού Στατιστικού Ινστιτούτου (2015), Αθήνα. Member of Organizing Committee.
  • 27ο Πανελλήνιο Συνέδριο Στατιστικής του Ελληνικού Στατιστικού Ινστιτούτου (2014), Θεσσαλονίκη. Member of Organizing Committee.
  • Ημερίδα «Δημιουργία Γνώσης μέσα από τη Συνέργεια Δημοσίων Φορέων Δυνατότητες & Προοπτικές» (2013). Member of Organizing Committee.
  • 3rd International Symposium on Statistical Process Control (2013), Piraeus. Head of Organizing Committee.
  • 26ο Πανελλήνιο Συνέδριο Στατιστικής του Ελληνικού Στατιστικού Ινστιτούτου (2013), Πειραιάς. Member of Organizing Committee.
  • 28th European Meeting of Statisticians (2010), Piraeus. Member of Local Organizing Committee.

 

Presentations in International Conferences:

  1. S. Bersimis and P. Economo. “Monitoring Multivariate Data Streams Using Convex Hull Based Control Charts”, ENBIS Annual Conference 2024, Leuven, Belgium 2024.
  2. S. Bersimis, G. Papageorgiou, and P. Economou. “Dynamic Monitoring of Streaming Text Data by Integrating Text Visualization Techniques
    and Natural Language Processing”. WCDANM 2024, Evora, Portugal, 2024.
  3. S. Bersimis, A. Sachlas, and P. Economou. “Monitoring Defects on Products’ Surface by Incorporating Scan Statistics into Process Monitoring Procedures”, ICBAP 2024, Sharjah, UAE, 2024.
  4. M. Karvounidi, M. Maniati, A. Fousteris, C. Boudoulis, and S. Bersimis. “An Empirical Study on the use of Data Analytics and AI by the Greek Companies”, ICBAP 2024, Sharjah, UAE, 2024.
  5. E. Nika, D. Georgakellos, A. Sachlas and S. Bersimis. “An Analytical Approach for Estimating Required Budgets for Type II Diabetes (T2D) in Greece”, ICBAP 2024, Sharjah, UAE, 2024.
  6. S. Bersimis, P. Economou and S. Chakraborti. “Non-Parametric Multivariate Processes Monitoring Based on Convex Hulls”, ENBIS Annual Conference 2023, Valencia, Spain, 2023.
  7. S. Bersimis. “Fraud Detection by Exploiting Big Data, Advanced Analytics & Machine Learning”, EHFCN Annual Conference 2023, Brussels, Belgium, 2023.
  8. S. Bersimis, P. Economou and S. Chakraborti. “A Non-Parametric Control Chart for Multivariate Processes Based on Convex Hulls”, 10th International Workshop on Applied Probability (IWAP 2023), Thessalonica, Greece, 2023.
  9. S. Bersimis, P. Economou and A. Sachlas. “Control Charts Based on Scan Statistics with Applications in Manufacturing”, 10th International Workshop on Applied Probability (IWAP 2023), Thessalonica, Greece, 2023. Presented by co-author.
  10. S. Bersimis, P. Economou and A. Sachlas. “Controlling Bivariate Processes using Scan Rules”, 10th International Workshop on Applied Probability (IWAP 2023), Thessalonica, Greece, 2023. Presented by co-author.
  11. G. Arvanitopoulos, P. Economou and S. Bersimis. “Applications of Text Mining and Natural Language Processing in Health”, 20th conference of ASMDA international society, 2023, Heraklion, Greece. Presented by co-author.
  12. A. Karaminas, P. Economou and S. Bersimis. “Predicting Non-Shows and Optimizing Services in Primary Healthcare”, 20th conference of ASMDA international society, 2023, Heraklion, Greece. Presented by co-author.
  13. C. Spyropoulos, P. Economou and S. Bersimis. “Modeling Sports Data”, 20th conference of ASMDA international society, 2023, Heraklion, Greece. Presented by co-author.
  14. Z. Bartsioka, P. Maravelakis and S. Bersimis. “Runs and Scans Rules for Optimizing Educational Processes”, 20th conference of ASMDA international society, 2023, Heraklion, Greece. Presented by co-author.
  15. K. Skarlatos, P. Maravelakis, P. Economou and S. Bersimis. “Detecting Change Points in Multivariate Data Streams. A Use Case in Shipping”, 20th conference of ASMDA international society, 2023, Heraklion, Greece. Presented by co-author.
  16. Z. Bartsioka, P. Maravelakis and S. Bersimis. “Monitoring Learning Outcomes Using Runs and Scans. An Overview”, 1st International Conference on Statistics by Greek Statistical Society, 2023, Athens, Greece. Presented by co-author.
  17. G. Arvanitopoulos, P. Economou and S. Bersimis. “An Overview of Text Mining Using Machine Learning. Techniques & Applications”, 1st International Conference on Statistics by Greek Statistical Society, 2023, Athens, Greece. Presented by co-author.
  18. A. Karaminas, P. Economou and S. Bersimis. “The Value of Data Exploitation in Healthcare Industry: An Overview”, 1st International Conference on Statistics by Greek Statistical Society, 2023, Athens, Greece. Presented by co-author.
  19. C. Boudoulis, P. Economou and S. Bersimis. “The Value of Data Exploitation in Insurance Industry: An Overview”, 1st International Conference on Statistics by Greek Statistical Society, 2023, Athens, Greece. Presented by co-author.
  20. C. Spyropoulos, P. Economou and S. Bersimis. “The Value of Data Exploitation in Sports Industry: An Overview”, 1st International Conference on Statistics by Greek Statistical Society, 2023, Athens, Greece. Presented by co-author.
  21. K. Skarlatos, P. Maravelakis, P. Economou and S. Bersimis. “Techniques for Detecting Change Points in Multivariate Data Streams”, 1st International Conference on Statistics by Greek Statistical Society, 2023, Athens, Greece. Presented by co-author.
  22. P. Economou, A. Sachlas, K. Triantafyllopoulos, S. Bersimis. “Spatial monitoring based on scan statistics”, Virtual 63rd ISI World Statistics Congress, 2021. Presented by co-author.
  23. A. Sachlas, S. Bersimis and P. Economou. “The use of convex hulls and control charting for monitoring disease events”, Virtual 63rd ISI World Statistics Congress, 2021. Presented by co-author.
  24. A. Sachlas, S. Bersimis and P. Economou. “Monitoring Disease Events Using Convex Hulls and Control Charting”, 19th conference of ASMDA international society, 2021, Athens, Greece.
  25. P. Economou, S. Bersimis, A. Sachlas and K. Triantafyllopoulos. “Control Charts Based on Multiple Scan Statistics”, 19th conference of ASMDA international society, 2021, Athens, Greece. Presented by co-author.
  26. F. Bersimis, P. Economou, S. Chakraborti and S. Bersimis. “A Non-Parametric Control Chart for Multivariate Processes Based on Convex Hulls”, 19th conference of ASMDA international society, 2021, Athens, Greece. Presented by co-author.
  27. S. Bersimis, A. Skamnia, and P. Economou. “A New Technique for Determining the Order of Heterogeneity Sources in a Multivariate Data Set based on Andrews Curves with applications in health monitoring”, 19th conference of ASMDA international society, 2021, Athens, Greece. Presented by co-author.
  28. A. Skamnia, P. Economou, S. Bersimis, M. Frouda, A. Politis and P. Alexopoulos. “Hotspot identification method based on Andrews curves with an application in monitoring COVID 19 crisis effects on caregiver -distress in neurocognitive disorder”, 19th conference of ASMDA international society, 2021, Athens, Greece. Presented by co-author.
  29. V. Molaris, K. Triantafyllopoulos, S. Bersimis, P. Economou and G. Papadakis. “Application of Time Series Control Charts in Shipping”, 19th conference of ASMDA international society, 2021, Athens, Greece. Presented by co-author.
  30. S. Bersimis and G. Bartzis. “Genetic predisposition indices for monitoring health”, 6th Stochastic Modelling Techniques and Data Analysis International Conference with Demographics, 2020 Workshop, Barcelona, Spain (Invited Talk).
  31. F. Bersimis, G. Bartzis and S. Bersimis. “Monitoring risk adjusted genetic predisposition indices using lifestyle data”, 6th Stochastic Modelling Techniques and Data Analysis International Conference with Demographics2020 Workshop, Barcelona, Spain (Invited Talk). Presented by co-author.
  32. A. Sachlas, G. Bartzis and S. Bersimis. “Monitoring risk adjusted genetic predisposition indices using diagnostic results”, 6th Stochastic Modelling Techniques and Data Analysis International Conference with Demographics2020 Workshop, Barcelona, Spain (Invited Talk). Presented by co-author.
  33. S. Bersimis. “Using Data Analytics and Statistical Machine Learning in Insurance”, Fin – Tech Conference, HO2020 project – Suptech Workshop, Athens, Greece, 2020 (turned into VIRTUAL).
  34. S. Bersimis. “Using Data Analytics and Statistical Machine Learning in Health Care“. BigMedilytics Conference: Improving Healthcare in Europe through Big Data, Valencia, Spain, 2019.
  35. S. Bersimis. “Using Data Analytics for Fraud Detection in Health Care: Applications and Some Results“. Y-ISBIS (International Symposium on Business and Industrial Statistics) 2019, Istanbul, Turkey, 2019 (Keynote Talk).
  36. S. Bersimis. “Integrating Process Monitoring Techniques and Scan Statistics for Monitoring Public Health“. ISI World Congress, Kuala Lumpur, Malaysia, 2019 (Invited Talk).
  37. S. Bersimis. “Public Health Surveillance Based on Statistical Process Monitoring“, 6th International Symposium on Statistical Process Control, Tunis, Tunisia, 2019 (Invited Talk).
  38. S. Bersimis. “Statistical Tools for Advanced Management“. ENBIS-2018 Conference, Nancy, France, 2018 (Keynote Talk).
  39. S. Bersimis, A. Sachlas and P. Economou. “Public Health Monitoring Using Scans and Control Charts“. International Symposium on Business and Industrial Statistics 2018, Piraeus, Greece, 2018 (Invited Talk).
  40. P. Economou, S. Bersimis, and A. Sachlas. “Simultaneous Monitoring the Number and the Spatial Distribution of Disease Events“. International Symposium on Business and Industrial Statistics 2018, Piraeus, Greece, 2018 (Invited Talk). Presented by co-author.
  41. A. Sachlas, S. Bersimis and S. Psarakis. Multivariate Risk-Adjusted Control Charts. 2018 International Symposium on Business and Industrial Statistics, Piraeus, Greece, 2018 (Invited Talk). Presented by co-author.
  42. T. Paschalis, C. Georgakopoulou, S. Goulas, A. Sachlas and S. Bersimis. “Composite quality indicators for assessing healthcare provision“. International Symposium on Business and Industrial Statistics 2018, Piraeus, Greece, 2018 (Invited Talk). Presented by co-author.
  43. C. Georgakopoulou, T. Paschalis, S. Goulas, S. Bersimis, A. Sachlas and V. Plagiannakos. “Assessing the quality of health services using composite indicators“. International Symposium on Business and Industrial Statistics 2018, Piraeus, Greece, 2018 (Invited Talk). Presented by co-author.
  44. S. Goulas, T. Paschalis, C. Georgakopoulou, S. Bersimis, A. Sachlas and V. Plagiannakos. “Applications of composite indicators for the longitudinal assessment of the quality of health services“. International Symposium on Business and Industrial Statistics 2018, Piraeus, Greece, 2018 (Invited Talk). Presented by co-author.
  45. S. Tasoulis, T. Paschalis, C. Georgakopoulou, S. Goulas, S. Bersimis, A. Sachlas and V. Plagiannakos. “Machine learning techniques for the analysis of composite quality indicators“. International Symposium on Business and Industrial Statistics, Piraeus, Greece, 2018 (Invited Talk). Presented by co-author.
  46. S. Bersimis, A. Sachlas, and P. Economou. “A New Procedure for Public Health Monitoring”, 9th International Workshop in Applied Probability, Budapest, Hungary, 2018 (Invited Talk).
  47. P. Economou, S. Bersimis, and A. Sachlas. “Monitoring the Number and the Spatial Distribution of Disease Events Using Convex Hulls and Control Charting”, 5th Stochastic Modelling Techniques and Data Analysis International Conference, Chania, Greece, 2018 (Invited Talk). Presented by co-author.
  48. S. Psarakis, A. Sachlas, and S. Bersimis. “Risk-Adjusted Control Charts: A Review”, 5th Stochastic Modelling Techniques and Data Analysis International Conference, Chania, Greece, 2018 (Invited Talk). Presented by co-author.
  49. S. Bersimis, A. Sachlas, and M.V. Koutras. “A New Technique for Monitoring Public Health Combining Scan Statistics and Control Charts”, 5th Stochastic Modelling Techniques and Data Analysis International Conference, Chania, Greece, 2018 (Invited Talk).
  50. S. Bersimis. “Quality in Health” (moderator), Stu Hunder Conference 2018, Roanoke, USA, 2018 (Invited Talk).
  51. A. Sachlas, P. Economou and S. Bersimis. “Monitoring the number of disease events and their distribution using convex hulls”, 17th Conference of the European Network for Business and Industrial Statistics, Naples, Italy, 2017.
  52. A. Sachlas, S. Psarakis and S. Bersimis. “A Multivariate Risk-Adjusted EWMA Control Chart”, 17th Conference of the European Network for Business and Industrial Statistics, Naples, italy, 2017 (Presented by co-author).
  53. A. Sachlas, S. Psarakis and S. Bersimis. “Results on Multivariate Risk-Adjusted Survival Time CUSUM and EWMA Control Charts”, 17th conference of ASMDA international society, London, UK, 2017 (Invited Talk). Presented by co-author.
  54. C. Agapitou, S. Bersimis, D. Georgakellos, “CRM Implementation and Performance Model: The case of Greek Companies” Perceptions during the fiscal crisis”, EMAC 46th Annual Conference, Groningen, Holland, 2017, (Presented by co-author).
  55. A. Sachlas, P. Economou and S. Bersimis. “A new biosurveillance method based on convex hulls”, 9th EMR-IBS and Italian Region conference, Thessaloniki, Greece, 2017 (Invited Talk). Presented by co-author.
  56. S. Bersimis. “The use of stochastic models in healthcare provision”, ENBIS-2016 Conference, Sheffield, UK, 2016 (Invited Talk).
  57. S. Bersimis. “Performance Monitoring and Competence Assessment in Health Services”, ISBIS-2016 Conference, Barcelona, Spain, 2016 (Invited Talk).
  58. P. Economou and S. Bersimis. “Control charts and differentiation of sampling schemes among Phase I and Phase II”, INCPAA-2016 Conference, La Rochelle, France, 2016. Presented by co-author.
  59. A. Sgora and S. Bersimis. “Health-Care and Public Health Monitoring using MSPC methods”, 1st International Conference on Research in Health Care, Athens, Greece, 2015 (Invited Talk). Presented by co-author.
  60. A. Sachlas and S. Bersimis. “A Bivariate Technique for Monitoring Comparative Phase II Clinical Trials”, 1st International Conference on Research in Health Care, Athens, Greece, 2015 (Invited Talk). Presented by co-author.
  61. A. Sachlas and S. Bersimis. “Multiattribute Comparative Process Monitoring Techniques”, 16th conference of ASMDA international society, Piraeus, Greece, 2015 (Invited Talk). Presented by co-author.
  62. A. Sgora, S. Psarakis and S. Bersimis. “Interpretation of out-of-control signals in multivariate control charts: The neural-network approach”, 16th conference of ASMDA international society, Piraeus, Greece, 2015 (Invited Talk). Presented by co-author.
  63. S. Bersimis and P. Economou. “Control Charts based on Weighted Distributions”, 16th conference of ASMDA international society, Piraeus, Greece, 2015.
  64. A. Sgora, S. Psarakis and S. Bersimis. “Methods for interpreting the out‐of‐control signal of multivariate control chart: A comparison study and a Meta-Method”, The 4th International Symposium on Statistical Process Monitoring, Padua, Italy, 2015 (Invited Talk).
  65. S. Bersimis and A. Sachlas. “Monitoring Multivariate Non-Industrial Processes”, 3rd Stochastic Modelling Techniques and Data Analysis International Conference (SMTDA2014), Lisboa, Portugal, 2014 (Invited Talk ).
  66. K. Triantafyllopoulos and S. Bersimis. “Multivariate Control Charts Based on Bayes Factors”, 3rd Stochastic Modelling Techniques and Data Analysis International Conference (SMTDA2014), Lisboa, Portugal, 2014 (Invited Talk). Presented by co-author.
  67. S. Bersimis and P. Castagliola. “Controlling Bivariate Processes using Scan Rules”, 7th International Workshop on Applied Probability (IWAP 2014), Antalya, Turkey, 2014 (Invited Talk).
  68. A. Sachlas and S. Bersimis. “A Technique to Simultaneous Monitor Bivariate Random Variables Defined on Contingency Tables”, 7th International Conference of the ERCIM WG on Computational and Methodological Statistics, Pisa, Italy, 2014 (Presented by co-author).
  69. S. Bersimis and A. Sachlas. “Monitoring Side Effects in Phase II Comparative Clinical Trials”, 7th International Conference of the ERCIM WG on Computational and Methodological Statistics, 2014.
  70. S. Bersimis and A. Sachlas. “Monitoring Bivariate Random Variables Defined on Contingency Tables”, 3rd International Conference on the Interface between Statistics and Engineering, 2014 (Invited Talk).
  71. T. Karvounidis, K. Chimos, M. Bassios, S. Bersimis, C. Douligeris. “UniSuite: An Innovative Integrated Suite for Delivering Synchronous and Asynchronous online Education”, IEEE Global Engineering Education Conference 2013, Berlin, Germany, 2013. Presented by co-author.
  72. S. Bersimis, T. Papaioannou and A. Sachlas. “Some New Stopping Rules for Multi-Stage Phase II Comparative Clinical Trials Involving Two Dependent Response Variables”, 15th Applied Stochastic Models and Data Analysis International Conference, Barcelona, Spain, 2013 (Invited Talk).
  73. S. Bersimis and P. Castagliola. “Monitoring High Quality Bivariate Processes”, 3rd International Symposium on Statistical Process Control, Piraeus, Greece, 2013 (Invited Talk).
  74. K. Souliotis, C. Lionis, M. Papadakaki, M. Papageorgiou, I. Tsiaousi, S. Bersimis. “The economic burden of herpes zoster on patients visiting primary care settings in Greece Results from a multicenter study”, 9th Congress of the European Geriatric Medicine, Venice, Italy, 2013.
  75. S. Bersimis. Advanced Stochastic Models of Multivariate Statistical Process Control for Non-Industrial Processes”, 6th International Conference of the ERCIM WG on Computational and Methodological Statistics (ERCIM 2013), London, UK, 2013 (Invited Talk).
  76. T. Karvounidis, K. Chimos, S. Bersimis, C. Douligeris. “An Integrated Self-Evaluated Framework for Embedding Web 2.0 Technologies in the Educational Process”, IEEE Global Engineering Education Conference 2012, Marrakesh, Morocco, 2012. Presented by co-author.
  77. E. Andreadis, A. Tsakanikas, E. Angelopoulos, S. Bersimis, G. Agaliotis and G. Mousoulis, “The Vascular Protective Effect of Aliskiren or Ramipril Based Tratment in Hypertension”, 22nd European Meeting on Hypertension and Cardiovascular Prevention in London, 2012. Presented by co-author.
  78. S. Bersimis. “Multivariate SPC with emphasis on Multi-Attribute Processes”, University of Sheffield Series of Lectures, Sheffield, UK, 2012 (Invited Talk).
  79. A. Sachlas, S. Bersimis and T. Papaioannou. “Stopping Rules for Phase II Clinical Trials Based on Waiting Time Distributions”, 2nd Stochastic Modelling Techniques and Data Analysis International Conference, Crete, Greece, 2012 (Invited Talk). Presented by co-author.
  80. S. Bersimis. “On-Line Air Quality Surveillance”, ISBIS-2012 Conference, Bangkok, Thailand, 2012 (Invited Talk).
  81. S. Bersimis and P.E. Maravelakis. “Process Monitoring of Bivariate Poisson Data”, 2nd International Symposium on Statistical Process Control, Rio, Brazil, 2011 (Invited Talk).
  82. S. Bersimis and K. Triantafyllopoulos. “On-Line Spatiotemporal Methods of Air Quality Surveillance for Safeguarding Community Health”, ISBIS-2010 Conference, Portoroz (Portorose), Slovenia, 2010 (Invited Talk).
  83. S. Bersimis, M.V. Koutras and P.E. Maravelakis. “A Compound Rule for Monitoring and Controlling High Quality Processes”, 28th European Meeting of Statisticians 2010 Conference, Piraeus, Greece, 2010.
  84. S. Bersimis and P.E. Maravelakis. “Process Monitoring of Bivariate Poisson Data”, 28th European Meeting of Statisticians 2010 Conference, Piraeus, Greece, 2010 (Poster).
  85. S. Bersimis and P.G. Bagos. “The Use of the Joint Distribution of Sums of Success and Failure Runs for Discriminating Membrane Proteins”, 7th International Meeting on computational Intelligence Methods for Bioinformatics and Biostatistics, Palermo, Italy, 2010 (Invited Talk).
  86. S. Bersimis. “Models for Controlling Multi-attribute Processes”, 1st International Symposium on Statistical Process Control, Nantes, France, 2009 (Invited Talk).
  87. S. Bersimis. “Multivariate SPC with emphasis in multi-attribute processes”, ISBIS-2009 Conference (Satellite meeting to the ISI 57th Session in Durban), Stellenbosch, Republic of South Africa, 2009 (Invited Talk).
  88. S. Bersimis, M.V. Koutras and G. Papadopoulos. “The Distribution of the Waiting Time until the First Almost Perfect Run’s Occurrence”, 6th International Workshop in Applied Probability, Compiègne, France, 2008. Included in Conference’s Proceedings (Invited Talk).
  89. A. Kallioras, S. Bersimis, and V.P. Plagianakos. “Interpreting Shewhart Type Control Chart Signals Using Pattern Based Rules and Artificial Intelligence Techniques”, 8th Conference of the European Network for Business and Industrial Statistics, Athens, Greece, 2008. Presented by co-author.
  90. S. Bersimis and P. Baggos. “Discriminating and Clustering Membrane Proteins Using the Exact Distribution of Various Runs-Based Rules”, 28th Annual Conference of the International Society for Clinical Biostatistics, Alexandroupolis, Greece, 2007.
  91. A. Sachlas, T. Papaioannou and S. Bersimis. “Controlling Non-Normal Multivariate Processes using Information Theoretic Control Charts”, 8th Hellenic-European Conference on Computer Mathematics and its Applications, Athens, Greece, 2007. Presented by co-author.
  92. PE Maravelakis, S. Bersimis and M.V. Koutras. “A Control Chart for High Quality Processes with a FIR Property Based on the Run Length of Conforming Products”, 7th Conference of the European Network for Business and Industrial Statistics, Dortmund, Germany, 2007. Presented by co-author.
  93. N. Sifakis, J. Papatriantafyllou, B. Valotassiou, S. Bersimis, C., Boulas, C. Karageorgiou, P. Georgoulias, C. Zerva. “Correlation of rCBF Abnormalities and Neuropsychiatric Symptoms in Degenerative Dementias”, Annual Congress of the EANM 2007, Copenhagen, Denmark, 2007. Presented by co-author.
  94. J. Papatriantafillou MD, N. Sifakis MD, V. Valotasiou MD, S. Bersimis, C. Boulas MD, N. Tsinia, P. Zikos MD, T. Visviki, C.E. Karageorgiou MD. “Anatomical regions mediating neuro-psychiatric symptoms in dementia”, 5th International Conference on Frontotemporal Dementia, San Francisco, USA, 2006. Presented by co-author.
  95. S. Bersimis and M.V. Koutras. “Almost Perfect Runs with Applications in Statistical Process Control”, 6th Conference of the European Network for Business and Industrial Statistics, Wroclaw, Poland, 2006.
  96. P.E. Maravelakis, S. Bersimis and M.V. Koutras. “Controlling the Quality of Bivariate Processes with Grouped Observations”, 6th Conference of the European Network for Business and Industrial Statistics, Wroclaw, Poland, 2006. Presented by co-author.
  97. I. Varlamis and S. Bersimis. “Providing shortcuts to the learning process”, International Conference of Computational Methods in Sciences and Engineering, Chania, Greece, 2006. Presented by co-author.
  98. M.V. Koutras, D.L. Antzoulakos and S. Bersimis. “Bivariate Markov Chain Embeddable Variables of Polynomial Type and Applications”, Conference of ASA, U.S.A., 2005. Presented by co-author.
  99. S. Bersimis, N. Balakrishnan and M.V. Koutras. “Waiting until the first occurrence of patterns in a bivariate sequence of trinomial trials”, 5th Conference of the European Network for Business and Industrial Statistics, Newcastle, England, 2005.
  100. A. Rakitzis and S. Bersimis. “Detection of Non-Random Patterns in Shewhart Control Charts: Methods and Applications”, 7th Hellenic-European Conference on Computer Mathematics and its Applications, Athens, Greece, 2005. Presented by co-author.
  101. P.E. Maravelakis, S. Bersimis and M.V. Koutras. “The use of control charts for monitoring multivariate processes with grouped observations”, 7th Hellenic-European Conference on Computer Mathematics and its Applications, Athens, Greece, 2005. Presented by co-author.
  102. S. Bersimis, J. Panaretos and S. Psarakis. “Multivariate Statistical Process Control and the Problem of Interpretation: A Short Overview and Some Applications in Industry”, 7th Hellenic-European Conference on Computer Mathematics and its Applications, Athens, Greece, 2005.
  103. S. Bersimis, D.L. Antzoulakos and M.V. Koutras. “Bivariate Markov Chain Embeddable Variables of Polynomial Type”, 2nd International Workshop in Applied Probability, Piraeus, Greece, 2004.
  104. M.V. Koutras, S. Bersimis and D.L. Antzoulakos. “Improving the Performance of the Chi-Square Control Chart Via Runs Rules”, 2nd International Workshop in Applied Probability, Piraeus, Greece, 2004. Presented by co-author.
  105. D.L. Antzoulakos, S. Bersimis and M.V. Koutras. “Markov Chain Embeddable Variables of Polynomial Type with Applications”, 2nd International Workshop in Applied Probability, Piraeus, Greece, 2004. Presented by co-author.
  106. T. Chadjipantelis, D. Ghinis and S. Bersimis. “Directed Projects, an Effective Way of the Educational Approach Statistics in School”, 3rd Mediterranean Conference on Mathematical Education, Athens, Greece, 2003. Presented by co-author.
  107. M.V. Koutras, S. Bersimis and D.L. Antzoulakos. “On the Distribution of the Total Number of Run Lengths”, 3rd International Conference on Mathematical Methods in Reliability, Trondheim, Norway, 2002. Presented by co-author.
  108. S. Bersimis and S. Psarakis. “Multivariate Statistical Process Control”, 5th Hellenic-European Conference on Computer Mathematics and its Applications, Athens, Greece, 2001.

 

Presentations in Panhellenic Conferences:

  1. Γ. Παπαγεωργίου, Σ. Μπερσίμης, Π. Οικονόμου. “Ταξινόμηση μηνυμάτων ηλεκτρονικού ταχυδρομείου χρησιμοποιώντας μηχανική μάθηση”, 34ο Πανελλήνιο Συνέδριο Στατιστικής, Αθήνα, 2022. Παρουσιάστηκε από τον Γ. Παπαγεωργίου.
  2. A. Rakitzis, S. Bersimis, S. Chakraborti. “On the Use of Runs-Based Tests in Phase I Analysis of Control Charts”, 33ο Πανελλήνιο Συνέδριο Στατιστικής, Λάρισα, 2021. Παρουσιάστηκε από τον Α. Ρακιτζή.
  3. E. Skamnia, P. Economou, S. Bersimis. “A Hotspot Identification Method Based on an Andrews Curves with an Application in Monitoring COVID-19 Crisis Effects on Caregivers Distress in Neurocognitive Disorder”, 33ο Πανελλήνιο Συνέδριο Στατιστικής, Λάρισα, 2021. Παρουσιάστηκε από την Α. Σκαμνιά.
  4. Σ. Μπερσίμης, “Η Επιστήμη της Στατιστικής στην Ελλάδα”, Celebrating 40 years of Greek Statistical Institute 1981-2021, Αθήνα, 2021. Προσκεκλημένη Ομιλία.
  5. Σ. Μπερσίμης. “Ανίχνευση Ασφαλιστικής Απάτης με Τεχνικές της Μηχανικής Μάθησης”, Data Analytics and Machine Learning for Insurance Fraud Detection, Πειραιάς, 2021. Προσκεκλημένη Ομιλία.
  6. Σ. Μπερσίμης. “Ανίχνευση Ασφαλιστικής Απάτης με Τεχνικές της Αναλυτικής των Δεδομένων”, Advanced Data Analytics for Insurance Fraud Detection, Πειραιάς, 2019. Προσκεκλημένη Ομιλία.
  7. Σ. Μπερσίμης, Α. Σαχλάς, Π. Οικονόμου. “Μια νέα τεχνική για την παρακολούθηση της Δημόσιας Υγείας με χρήση διαγραμμάτων ελέγχου και συναρτήσεων σάρωσης“, 31ο Πανελλήνιο Συνέδριο Στατιστικής, Λαμία, 2018. Προσκεκλημένη Ομιλία.
  8. Σ. Ψαράκης, Α. Σαχλάς, και Σ. Μπερσίμης. “Risk-adjusted διαγράμματα ελέγχου“, 31ο Πανελλήνιο Συνέδριο Στατιστικής, Λαμία, 2018. Παρουσιάστηκε από τον Α. Σαχλά. Προσκεκλημένη Ομιλία.
  9. Σ. Μπερσίμης, Α. Σαχλάς, Π. Οικονόμου. “Παρακολούθηση του Αριθμού και της Χωρικής Κατανομής των Νέων Κρουσμάτων Χρησιμοποιώντας Κατάλληλα Διαγράμματα Ελέγχου και Κυρτά Πολυγωνικά Κέλυφα“, 31ο Πανελλήνιο Συνέδριο Στατιστικής, Λαμία, 2018. Παρουσιάστηκε από τον Π. Οικονόμου. Προσκεκλημένη Ομιλία.
  10. Θ. Πασχάλης, Χ. Γεωργακοπούλου, Σ. Γούλας, Σ. Μπερσίμης. “Σύνθετοι δείκτες ποιότητας για την αξιολόγηση της παροχής υπηρεσιών υγείας“, 31ο Πανελλήνιο Συνέδριο Στατιστικής, Λαμία, 2018. Παρουσιάστηκε τον Θ. Πασχάλη. Προσκεκλημένη Ομιλία.
  11. Χ. Γεωργακοπούλου, Θ. Πασχάλης, Σ. Γούλας, Σ. Μπερσίμης, Α. Σαχλάς, Β. Πλαγιανάκος. “Αξιολόγηση της ποιότητας των υπηρεσιών υγείας με χρήση σύνθετων δεικτών“, 31ο Πανελλήνιο Συνέδριο Στατιστικής, Λαμία, 2018. Παρουσιάστηκε από την Χ. Γεωργακοπούλου. Προσκεκλημένη Ομιλία.
  12. Σ. Γούλας, Θ. Πασχάλης, Χ. Γεωργακοπούλου, Σ. Μπερσίμης, Α. Σαχλάς, Β. Πλαγιανάκος. “Εφαρμογές των σύνθετων δεικτών για την διαχρονική αξιολόγηση της ποιότητας των υπηρεσιών υγείας“, 31ο Πανελλήνιο Συνέδριο Στατιστικής, Λαμία. Παρουσιάστηκε τον Σ. Γούλα. Προσκεκλημένη Ομιλία.
  13. Σ. Τασουλής, Θ. Πασχάλης, Χ. Γεωργακοπούλου, Σ. Γούλας, Σ. Μπερσίμης, Α. Σαχλάς, Β. Πλαγιανάκος: “Τεχνικές μηχανικής μάθησης για την ανάλυση σύνθετων δεικτών ποιότητας των υπηρεσιών υγείας”, 31ο Πανελλήνιο Συνέδριο Στατιστικής, Λαμία, 2018. Παρουσιάστηκε από τον Σ. Τασουλή. Προσκεκλημένη Ομιλία.
  14. Σ. Μπερσίμης. “Εφαρμογές της Επιχειρηματικής Αναλυτικής για τον Έλεγχο των Δαπανών Υγείας“, 30ο Πανελλήνιο Συνέδριο Στατιστικής, Πύλα, Κύπρος, 2017. Προσκεκλημένη Ομιλία.
  15. Σ. Μπερσίμης, Α. Σαχλάς και R. Sparks. “Παρακολούθηση και Αξιολόγηση της Απόδοσης στις Υπηρεσίες Υγείας“, 30ο Πανελλήνιο Συνέδριο Στατιστικής, Πύλα, Κύπρος, 2017. Παρουσιάστηκε από τον Α. Σαχλά.
  16. Α. Σαχλάς, Σ. Μπερσίμης και S. Chakraborti. “Ένας Ακολουθιακός Έλεγχος για την Αξιολόγηση της Συμφωνίας μεταξύ Βαθμολογητών“, 29ο Πανελλήνιο Συνέδριο Στατιστικής, Νάουσα, 2016. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  17. A. Sgora, S. Psarakis, S. Bersimis. “Methods for interpreting the out-of-control signal of multivariate control chart: A comparison study” (in English), 28ο Πανελλήνιο Συνέδριο Στατιστικής, Αθήνα, 2015. Παρουσιάστηκε από την Α. Σγόρα.
  18. A. Sachlas, S. Bersimis. “Simultaneous monitoring of bivariate random variables defined on contingency tables” (in English), 28ο Πανελλήνιο Συνέδριο Στατιστικής, Αθήνα, 2015. Παρουσιάστηκε από τον Α. Σαχλά.
  19. Α. Σαχλάς, Σ. Μπερσίμης και Τ. Παπαιώαννου. “Επεκτάσεις των Κανόνων Διακοπής για Συγκριτικές Κλινικές Δοκιμές Φάσης II με Χρήση Δύο Μεταβλητών Απόκρισης”, 27ο Πανελλήνιο Συνέδριο Στατιστικής, Θεσσαλονίκη, 2014. Παρουσιάστηκε από τον Α. Σαχλά. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  20. Μ. Παπαδάκη, Ι. Τσιάουση, Γ. Τρίμη, Σ. Μπερσίμης, Κ. Σουλιώτης, Χ. Λιονής. “Υπολογιζόμενο Κόστος Έρπητα Ζωστήρα στην Ελλάδα και το Δυνητικό Όφελος Εμβολιασμού”, 2014, 10ο Πανελλήνιο Συνέδριο Δημόσιας Υγείας και Διοίκησης Υπηρεσιών Υγείας. Παρουσιάστηκε από την Ι. Τσιαούση. Βραβείο “Μερόπη Βιολάκη” καλύτερης ελεύθερης ανακοίνωσης.
  21. Α. Σαχλάς, Σ. Μπερσίμης και Τ. Παπαϊωάννου. “Κανόνες Διακοπής για Πολυσταδιακές Συγκριτικές Κλινικές Δοκιμές Φάσης II με Χρήση Δύο Μεταβλητών Απόκρισης”, 26ο Πανελλήνιο Συνέδριο Στατιστικής, Πειραιάς, 2013. Παρουσιάστηκε από τον Α. Σαχλά. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  22. Σ. Μπερσίμης. “Μέθοδοι Ελέγχου Πολυμεταβλητών Διεργασιών Υψηλής Απόδοσης”, 26ο Πανελλήνιο Συνέδριο Στατιστικής, Πειραιάς, 2013.
  23. Θ. Καρβουνίδης, Κ. Χίμος, Σ. Μπερσίμης, Χ. Δουληγέρης. ”Αποτίμηση ενός ολοκληρωμένου εκπαιδευτικού περιβάλλοντος με εργαλεία κοινωνικής δικτύωσης”, CIE2013-Conference on Informatics in Education, Πειραιάς, 2013. Παρουσιάστηκε από τον Θ. Καρβουνίδη. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  24. Α. Σαχλάς, Σ. Μπερσίμης και Τ. Παπαιώαννου. “ Κανόνες Διακοπής για Πολυσταδιακές Κλινικές Δοκιμές Φάσης IIA”, 25ο Πανελλήνιο Συνέδριο Στατιστικής, Βόλος, 2012. Παρουσιάστηκε από τον Α. Σαχλά.
  25. Θ. Καρβουνίδης, Κ. Χίμος, Σ. Μπερσίμης, Χ. Δουληγέρης. ”Εφαρμογή Τεχνολογιών Κοινωνικής Δικτύωσης στην τριτοβάθμια εκπαίδευση: Σχεδιασμός και Οργάνωση”, CIE2011-Conference on Informatics in Education, Πειραιάς, 2011. Παρουσιάστηκε από τον Θ. Καρβουνίδη. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  26. Σ. Χατζηπαναγιώτου, Ε. Ανδρεάδου, Σ. Μπερσίμης, Κ. Κυριαζή, Α. Τσάτση, Μ. Μιχαλοπούλου, Φ. Μπουφίδου, Χ. Νικολάου. “Αξιολόγηση του προσδιορισμού ολιγοκλωνικών κλασμάτων IgG στο εγκεφαλονωτιαίο υγρό (ΕΝΥ) ασθενών με απομυελινωτικές νευρολογικές διαταραχές σε σχέση με τον δείκτη αυτόχθονης παραγωγής IgG κατά τη διάρκεια τεσσάρων ετών (2006-2009)”, 8ο Πανελλήνιο Συνέδριο Ανοσολογίας, Αθήνα, 2010. Παρουσιάστηκε από τον Σ. Χατζηπαναγιώτου.
  27. Σ. Μπερσίμης και Π. Μπάγκος. “Ταξινόμηση Διαμεμβρανικών Πρωτεϊνών με Χρήση της Από Κοινού Κατανομής Τυχαίων Μεταβλητών Σχετικών με Ροές Επιτυχιών”, 21ο Πανελλήνιο Συνέδριο Στατιστικής, Σάμος, 2008.
  28. Δ. Γκίνης, Κ. Κορρές και Σ. Μπερσίμης. “Ανάπτυξη του Στοχαστικού Τρόπου Σκέψης στην Δευτεροβάθμια Εκπαίδευση: Ανίχνευση των Παραγόντων Επιρροής και του Μοντέλου Σύνδεσης”, 21ο Πανελλήνιο Συνέδριο Στατιστικής, Σάμος, 2008. Παρουσιάστηκε από τον Κ. Κορρέ.
  29. Σ. Μπερσίμης. “Μοντέλα Στατιστικού Ελέγχου Διεργασιών Εφαρμοσμένα στην Επιτήρηση της Δημόσιας Υγείας. Στόχοι, Πλεονεκτήματα, Εφαρμογές”, 34ο Ετήσιο Πανελλήνιο Ιατρικό Συνέδριο, Αθήνα, 2008.
  30. Σ. Μπερσίμης, Π. Μαραβελάκης και Μ. Κούτρας. “Ένα Διάγραμμα Ελέγχου για τον Έλεγχο Διεργασιών Υψηλής Ποιότητας με Ιδιότητες Ταχείας Αρχικής Αντίδρασης”, 20ο Πανελλήνιο Συνέδριο Στατιστικής, Κύπρος, 2007. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  31. Σ. Μπερσίμης, Θ. Ανθοπούλου και Χ. Χαλκιάς. “Ανίχνευση Συστάδων Έντονης Επιχειρηματικότητας των Γυναικών της Υπαίθρου με Χρήση Διδιάστατων Συναρτήσεων Σάρωσης”, 20ο Πανελλήνιο Συνέδριο Στατιστικής, Κύπρος, 2007. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  32. Σ. Μπερσίμης. “Βασικές Αρχές Ιατρικής Στατιστικής”, 3ο Πανελλήνιο Συνέδριο για τη Διοίκηση, τα Οικονομικά και τις Πολιτικές Υγείας, Αθήνα, 2007.
  33. Σ. Μπερσίμης και Μ. Κούτρας. “Μελέτη του Χρόνου Αναμονής Μέχρι την Πρώτη Εμφάνιση μιας Σχεδόν Πλήρους Ροής”, 19ο Πανελλήνιο Συνέδριο Στατιστικής, Καστοριά, 2006. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  34. Μ. Κούτρας, Π. Μαραβελάκης και Σ. Μπερσίμης. “Μελέτη του Χρόνου Αναμονής Μέχρι την Πρώτη Εμφάνιση Ενδεχομένων σε μια Ακολουθία Πλειότιμων Δοκιμών με Εφαρμογές στον Έλεγχο Διεργασιών”, 19ο Πανελλήνιο Συνέδριο Στατιστικής, Καστοριά, 2006. Παρουσιάστηκε από τον Μ. Κούτρα. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  35. Σ. Μπερσίμης, Π. Μαραβελάκης και Μ. Κούτρας. “Χρόνοι Αναμονής Μέχρι την Πρώτη Εμφάνιση Σχηματισμών σε μια Διδιάστατη Ακολουθία Τρίτιμων Δοκιμών”, 18ο Πανελλήνιο Συνέδριο Στατιστικής, Ρόδος, 2005. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  36. Σ. Μπερσίμης, Δ. Αντζουλάκος και Μ. Κούτρας. “Διδιαστατες Μεταβλητές Πολυωνυμικού Τύπου Εμφυτεύσιμες σε Μαρκοβιανή Αλυσίδα”, 17ο Πανελλήνιο Συνέδριο Στατιστικής, Λευκάδα, 2004. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  37. Ε. Παφίλη, Μ. Παπαδάκης και Σ. Μπερσίμης. “Μελέτη για την Εκπαίδευση και την Επιλογή Επαγγέλματος στο Νομό Κυκλάδων – Μια Πρώτη Περιγραφή της Έρευνας και του Δείγματος”, 17ο Πανελλήνιο Συνέδριο Στατιστικής, Λευκάδα, 2004. Παρουσιάστηκε από την Ε. Παφίλη. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  38. Σ. Μπερσίμης, Δ. Αντζουλάκος και Μ. Κούτρας. “Ένα Νέο Πολυμεταβλητό Διάγραμμα Έλεγχου με Χρήση Θεωρίας Ροών Επιτυχιών”, 16ο Πανελλήνιο Συνέδριο Στατιστικής, Καβάλα, 2003. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  39. Π. Μαραβελάκης και Σ. Μπερσίμης. “Ερμηνεία Του Εκτός Ελέγχου Σήματος Ενός Πολυμεταβλητού Διαγράμματος Ελέγχου με Χρήση των Καμπυλών Andrews”, 16ο Πανελλήνιο Συνέδριο Στατιστικής, Καβάλα, 2003. Παρουσιάστηκε από τον Π. Μαραβελάκη. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  40. Σ. Μπερσίμης, Δ. Αντζουλάκος και Μ. Κούτρας. “Η Κατανομή του Συνολικού Μήκους των Ροών Επιτυχιών σε μια Ακολουθία Δίτιμων Δοκιμών”, 15ο Πανελλήνιο Συνέδριο Στατιστικής, Ιωάννινα, 2002. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.
  41. Θ. Χατζηπαντελής, Δ. Γκίνης και Σ. Μπερσίμης. “Αξιολόγηση της Εφαρμογής και της Αποτελεσματικότητας των Κατευθυνόμενων Εργασιών για τη Διδασκαλία της Στατιστικής”, 19ο Πανελλήνιο Συνέδριο Μαθηματικής Παιδείας, Κομοτηνή, 2002. Παρουσιάστηκε από τον Δ. Γκίνη. Συμπεριλήφθη στα Πρακτικά του Συνεδρίου.

 

Main research areas:

  • Processes Monitoring and Surveillance Models
  • Distribution Theory of Runs, Scans and Patterns
  • Statistical Machine Learning
  • Insurance & Health Analytics (Biosurveillance Models, Clinical Trials Monitoring Models, Precision Medicine, RWD Analytics, Fraud Detection, Customer Analytics)

 

Research Programs:

  • 2013 – 2015: Funding from the Ministry of Education, Research and Religious Affairs, within Aristeia II, General Secretary of Research and Technology (principal researcher of the University of Piraeus).
  • 2007 – 2008: Funding / Scholarship from the National Scholarship Institution for post-doctorate studies (principal researcher of the University of Piraeus).
  • 2006 – 2007: Research funding from the Ministry of Education in relation to Pythagoras II program (member of Panteion University research team).
  • 2006 – 2007: Research funding from the Ministry of Education in relation to Pythagoras II program (member of University of Piraeus research team).
  • 2002 – 2005: Doctoral research funding (member of University of Piraeus research team) from the Hellenic Ministry of Development within the context of PENED 2001 program – General Secretary of Research and Technology.

Books (in greek):

  1. Applied Statistics and Statistical Machine Learning, Tziolas Publications, 2021 (with A. Sachlas, G. Bartzis and G. Papadakis).
  2. Statistical Quality Control, Tziolas Publications, 2021 (with A. Sachlas and A. Rakitzis).
  3. Introduction to Statistics and Probability, Tziolas Publications, 2020 (with A. Sachlas).
  4. Applied Statistics in Health Sciences , Tziolas Publications, 2016 (with A. Sachlas).
  5. Applied Statistics in Health Sciences Using IBM Statistics , Tziolas Publications, 2016 (with A. Sachlas).
  6. Mathematics, Eugenides Foundation, 2012 (with K. Lattas and M. Koutras).
  7. Informatics, Eugenides Foundation, 2007 ( with B. Michalakopoulos et al).
  8. Informatics, IDEKE (MoE), 2003 ( with B. Michalakopoulos et al).

The office hours for the 2024-2025 are:

  • Tuesday: 12:00 – 14:00

Please email in advance to avoid overcrowding.

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