• NOVA IMS - Universidade Nova de Lisboa Campus de Campolide 1070-312 Lisboa


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Personal profile

Personal information

Afshin Ashofteh holds five university degrees, including a Ph.D. in Information Management specializing in Statistics and Econometrics, an MBA in Finance, a Post-graduate degree in Statistical Systems specializing in Central Banks, a Master's degree in Mathematical Statistics, and a Bachelor's degree in Statistics and Econometrics.

For professional certifications, he is certified by TÜV NORD Germany for both Risk Management and Internal Audit of the Information Security Management Systems (ISMS). During his professional life, he passed careers with certification for CCNA (Cisco Certified Network Associate), Network Plus, Security Plus, Active Directory, Linux Shell Programming, ITIL v3, COBIT Framework, and SQL Server.

He has been a full-time university professor and consultant for over two decades and an integrated researcher at the Information Management Research and Development Center (MagIC). He serves some national and international institutions as a technical advisor/consultant, such as IMF, WHO, UN DESA, Central Banks, Banking Research Institute, and Statistics Portugal (INE).

His scientific interests have focused on Data Science in Finance and implementing Big Data and predictive models in Risk, Quant, Banking, Financial Economics, and Official Statistics. He published in top-tier journals, such as a new machine learning approach with Big Data at a top 10% Artificial Intelligence journal and a new Layered Learning Time Series forecasting model (called DELMS) in a top 10% Computer Science journal.

For conferences till 2023, he was Invited Speaker at seven conferences and Keynote Speaker at two others (six in Europe, one in Africa, one in South America, and one in Asia).

Recently, he was awarded (1) the Scholastic Achievement Award in 2015 (Central Bank of Portugal), (2) the Best Research Award in 2019 (International Statistical Institute), (3) and the Best Teaching Award in 2023 (Nova University Lisbon, Universidad Autónoma de Madrid, and the University of Rome Tor Vergata).

External positions

Technical Advisor, Statistics Portugal - INE - Instituto Nacional de Estatística

Univ. Prof. (full-time)

Member of Technical Advisory Group, WHO - World Health Organization & UN DESA - United Nations Department of Economic and Social Affairs


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