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Personal profile

Research interests

Developing novel artificial intelligence and statistical methods for financial decision making in different applications. 

Willing to supervise doctoral students

If you have a passion for numbers and are a bit intrigued by finance drop me an email. We can spend a couple of years on something to move the borders of science ;)

Education/Academic qualification

Quantitative Finance, Doctor of Philosophy, University of Glasgow


Financial Engineering, Master in Science, University of Tehran


Industrial Engineering, Bachelor of Engineering, University of Tehran



  • Quantitative Finance
  • Artificial Intelligence
  • High-frequency trading
  • Machine Learning
  • Forecasting
  • Statistics
  • Gambling
  • HG Finance
  • HA Statistics

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Research Output

A Conditional Fuzzy Inference Approach in Forecasting

Hassanniakalager, A., Sermpinis, G., Stasinakis, C. & Verousis, T., 16 May 2020, European Journal of Operational Research, 283, 1, p. 196-216 21 p.

Research output: Contribution to specialist publicationArticle

A machine learning perspective on responsible gambling

Hassanniakalager, A. & W.S.Newall, P., 29 Apr 2019, In : Behavioural Public Policy. p. 1-26 26 p.

Research output: Contribution to journalArticle

Open Access
68 Downloads (Pure)

We took a gamble on Premier League betting odds – and showed that football bets should come with a health warning

Hassanniakalager, A. & Newall, P., 2 Jan 2019, The Conversation.

Research output: Contribution to specialist publicationArticle

Open Access

Reverse adaptive krill herd locally weighted support vector regression for forecasting and trading exchange traded funds

Sermpinis, G., Stasinakis, C. & Hassanniakalager, A., 1 Dec 2017, In : European Journal of Operational Research. 263, 2, p. 540-558 19 p.

Research output: Contribution to journalArticle

Open Access
6 Citations (Scopus)
37 Downloads (Pure)