News: QFRA 2023 website will be online soon.  

Professor Athanasios (Thanasi) Pantelous received his Bachelor degree in Mathematics (2001), two-year M.Sc. in Statistics and Operational Research (2005) and M.Sc. in Applied Mathematics (2007) degrees from the Department of Mathematics at National and Kapodistrian University of Athens (NKUA) in Greece (2001), his M.Sc. in Statistics: Statistical methods applied to the Management of Insurance Organizations (2006) and Ph.D. in Statistics (2008) degrees from the Department of Statistics at Athens University of Economics and Business (AUEB), Greece. In 2013, he completed his 2^nd PhD degree in Modelling and Systems Science from the School of Mathematics, Computer Science and Engineering at City, University of London, UK. In 2009, he started his academic career as a Lecturer (2009) and Reader (2011) at the Department of Mathematical Sciences and the Institute for Risk and Uncertainty at the University of Liverpool, UK. In October 2017, Dr Pantelous joined Monash University, Australia, as an Associate Professor, and in July 2020, he promoted to Professor at the Department of Econometrics and Business Statistics.

Dr. Pantelous is an academic member of RiskLab Australia since January 2018.

Dr. Pantelous is an academic member of the Belief Analytics: Social Media Data Lab at SWUFE since November 2022. As a part of my scientific role at Belief Analytics, I assist in the construction and validation of sentiment-based indications. Impact is anticipared in a) belief measurement, b) acquisition of large amount of data, c) the theory of communication, and d) modeling belief formation. 

Dr. Pantelous is research director in the areas of Actuarial Science and Quantitative Finance in the Department of Econometrics and Business Statistics at Monash University.  

Dr. Pantelous’ primary research interests focus on the general area of quantitative research and mathematical modeling under risk and uncertainty with an emphasis on finance, actuarial science, stochastic mechanics and operational research. 

Dr. Pantelous has published more than 160 technical papers in peer-reviewed international journals and conference proceedings. He has served in the scientific and/or organizing committees of several international technical conferences, and has co-founded and chaired the Quantitative Finance and Risk Analysis (QFRA) symposium series. He is also an invited Visiting Professor in the School of Management at Shanghai University (China) and Associate Director of Quantitative Finance and Risk Analysis in the Center of Technology and Systems Management at University of Maryland (US). He is currently an Associate Editor of the ASCE-ASME J. of Risk and Uncertainty in Engineering Systems, and has served as a Guest Editor for several special issues in international journals (including, Quantitative Finance, Annals of Operations Research, International Journal of Finance & Economics).

He co-leaded, as Deputy-Director and co-Investigator, the EPSRC and ESRC Center for Doctoral Training (CDT) in Quantification and Management of Risk & Uncertainty in Complex Systems & Environments (2014-2017) in the University of Liverpool, UK. This research and training center has attracted a total funding volume of £5.8m and involves more than 36 industrial and academic partners from around the globe.

Furthermore, he is certified at the level of Middle Manager (Finance/Insurance) from the Hellenic Institute of Insurance Studies (H.I.I.S.). He has qualified in “Financial Mathematics”, “Risk Theory”, “Investment and Portfolio Theory” and “Survival Models and Life Tables” from the Hellenic Actuarial Society (Recognizable from IFoA, U.K. & SOA, U.S.).

Finally, he has supervised successfully 21 PhD students (2009 - 2022). Currently, he is supervising 3 PhD students as primary and 2 as secondary (associate) supervisor. 

I can supervise PhD projects on the general area of quantitative research and mathematical modelling under risk and uncertainty with an emphasis on finance, actuarial science, stochastic mechanics and operational research. For more details, please, communicate directly with me through email.