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Afshin Ashofteh
Afshin Ashofteh, Docente Convidado

Afshin Ashofteh is an invited lecturer at the NOVA Information Management School and a research fellow of the department of methodology and information systems at the Statistics Portugal (INE).

He has a Bachelor`s degree and a Master`s degree in Mathematical Statistics; an MBA in Finance; a Post-graduate degree in Statistical Systems specialized for Central Banks; followed by an ongoing Master in Statistics and Information Management; a European Master in Official Statistics (EMOS); and a Ph.D. in Information Management specializing in Statistics and Econometrics at the NOVA IMS. He is also certified by TÜV NORD for Risk Management and Internal Audit of Information Security Management System (ISMS). His professional path includes the experience of teaching and applying Econometrics and Statistics to problems in financial risks, actuaries, and official statistics. His scientific interests have focused on Data Science in Finance and the implementation of Big Data and predictive models in the area of Banking, Actuaries, and Official Statistics. In 2019, his paper about a new credit-scoring algorithm with non-traditional datasets was the winner of the first prize of the International Conference of Risk Analysis in Austria.

- Project

January 2012 to December 2012 - One of the eight 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 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:

- Invited Speaker

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

- Jury Member

2021 - Honored to be joined by Ana Serradó Bayés, Delia North, James R. Nicholson, Anushka Karkelanova, and Matt Parry as the judging panel for the International Statistical Literacy Poster Competition of 2020-2021. This international competition is organized by the education section of the International Statistical Institute (ISI) in ISLP. The winners will receive their prizes at the 63rd World Statistics Congress of the ISI in the Netherlands.


Unidades Curriculares que leciona na NOVA IMS
- Ciência de Dados Para Finanças
- Financial Data Science
- Gestão de Risco
- Operações Bancárias e Seguradoras
- Reporte Financeiro
- Riscos de Mercado e de Crédito
Publicação em Periódicos Científicos
Ashofteh, A., & Bravo, J. M. (2021). A Conservative Approach for Online Credit Scoring. Expert Systems with Applications, 114835. [Advanced online publication on 10 March 2021].
Ashofteh, A., & Bravo, J. M. (2021). Data Science Training for Official Statistics: a New Scientific Paradigm of Information and Knowledge Development in National Statistical Systems. Statistical Journal of the IAOS, 37(3), 771 – 789.
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. (2021). Life Table Forecasting in COVID-19 Times: An Ensemble Learning Approach. In 2021 16th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6). IEEE.
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.