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Afshin Ashofteh
Afshin Ashofteh, Docente Convidado

Afshin Ashofteh is an invited lecturer at the NOVA Information Management School. He has a master's degree in Mathematical Statistics, an MBA in Finance, a post-graduation degree in Statistical Systems followed by a Ph.D. in Information Management specializing in Statistics and Econometrics at NOVA IMS. He is certified by TÜV NORD for Risk Management and Internal Audit of Information Security Management System (ISMS).

Before joining Nova IMS, his professional path includes 5 years' experience of teaching as a full-time university lecturer and 12 years' experience in applying Econometrics and Statistics to problems in risk, actuaries and official statistics as a data analyst.

His scientific interests have focused on Data Science in Finance and implementation of predictive models in the area of Banking and Actuaries. Recently, his presentation of a paper about credit scoring by using non-traditional datasets, jointly written by Jorge Bravo and affiliated with NOVAIMS, was the winner of the first prize of the International Conference of Risk Analysis in Austria.



January 2012 to December 2012 - One of the eight team members of strategic planning for the International Data & Statistical Literacy Project. This project was initiated by the education section of the International Statistical Institute (ISI) and the main goal of this project was to present a strategic plan for promoting data and statistical literacy across the world and in all walks of life. This project was directed by Professor Dr. Jim Ridgway, University of Durham and Professor Dr. Milo Schield, Augsburg University, Minneapolis. (Referenced by his permission:



2019 - Data Science and Open Banking. Invited to talk for new master students of Nova IMS, Portugal.
2018 - Mining Big Data for Statistical Systems of Monetary and Financial Institutions. Invited to talk at CARMA2018, Spain.
2018 - New Technologies and Information Management for Central Banking. Invited to talk at Nova School of Business and Economics, Portugal.
2017 - The Challenges of Improving Financial Data and Statistical Literacy. Invited to talk at ISI World Statistics Congress, Morocco.
2016 - Financial Stability and Statistical Systems in Banking. Invited by UNCTAD & WTO, Switzerland.


Unidades Curriculares que leciona na NOVA IMS
- Big Data for Finance
- Operações Bancárias e Seguradoras
Publicação em Periódicos Científicos
Ashofteh, A., & Bravo, J. M. (2020). A study on the quality of novel coronavirus (COVID-19) official datasets. Statistical Journal of the IAOS, 36(2), 291-301.
Ashofteh A. (2016). Modern Monetary and Financial Management Information Systems. GAPnashr. ISBN 978-600-7197-29-5.
Ashofteh A. (2010). Data Literacy in Economy. 110 pages. Center of Statistical Society and Mathematics House of Isfahan. ISBN 978-600-04-4712-0.
Publicações em Atas de Conferência Científica
Ashofteh, A., & Bravo, J. M. (2019). A non-parametric-based computationally efficient approach for credit scoring using non-traditional data. In K. Moder, & B. Spange (Eds.), 8th International Conference on Risk Analysis and Design of Experiments: book of abstratcts (pp. 9). University of Natural Resources and Life Sciences, Vienna, Austria, April 23rd to 26th, 2019.
Ashofteh, Afshin and Bravo, Jorge M., "A Non-Parametric-Based Computationally Efficient Approach for Credit Scoring" (2019). CAPSI 2019 Proceedings. 4. Proceedings of the 19th Portuguese Association of Information Systems Conference: digital disruption: living between data science, IoT and ... people. Association for Information Systems. Link:
Ashofteh, A. (2018). Mining Big Data in statistical systems of the monetary financial institutions (MFIs). Congress UPV. 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018) (Abstratcts). Editorial Universitat Politècnica de València . ISBN: 978-84-9048-689-4 (print version). DOI:
Ashofteh A. (2013). Application of Stochastic Process Models in Security systems of E-Banking. In Proceeding of the International Conference on Electronic Banking and Payment Systems, Monetary Research Institute, September 2013. Pages 39-57.
Ashofteh A. (2005). Statistical Methods and a Nonparametric Reliability Measure for Computer Intrusion Detection. In Conference Abstracts. Final Version. International Conference on the FUTURE OF STATISTICAL THEORY,PRACTICE AND EDUCATION. December 29, 2004 – January 1, 2005. Indian School of Business, Hyderabad, India.