No photo of Afshin Ashofteh
  • Campus de Campolide

    1070-312 Lisboa

    Portugal

  • 0 Citations
  • 0 h-Index
20182020

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Personal information

Afshin Ashofteh is invited lecturer at the NOVA Information Management School. He has a master's degree in Mathematical Statistics (2001), an MBA in Finance (2008), a post-graduation degree in Statistical Systems (2014) followed by a PhD 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 NOVA IMS, was the winner of the first prize of the International Conference of Risk Analysis in Austria.

Fingerprint Dive into the research topics where Afshin Ashofteh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Research Output at NOVA

  • 3 Conference contribution
  • 1 Article

A study on the quality of Novel Coronavirus (COVID-19) official datasets

Ashofteh, A. & Bravo, J. M., 5 May 2020, (Accepted/In press) In : Statistical Journal of the IAOS.

Research output: Contribution to journalArticle

A non-parametric-based computationally efficient approach for credit scoring

Ashofteh, A. & Bravo, J. M., Oct 2019, Proceedings of the 19th Portuguese Association of Information Systems Conference: digital disruption: living between data science, IoT and ... people. [Abstracts]. Associação Portuguesa de Sistemas de Informação, p. 19 1 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access

A non-parametric-based computationally efficient approach for credit scoring using non-traditional data

Ashofteh, A. & Bravo, J. M., Nov 2019, 8th International Conference on Risk Analysis and Design of Experiments: book of abstratcts. Moder, K. & Spange, B. (eds.). p. 9 1 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File

Mining Big Data in statistical systems of the monetary financial institutions (MFIs)

Ashofteh, A., 2018, Congress UPV. 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018) (Abstratcts). Editorial Universitat Politècnica de València, p. 219 1 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File