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The University of Southampton
Southampton Business School
Phone:
(023) 8059 4465
Email:
S.Barak@soton.ac.uk

Dr Sasan Barak BSc, MSc, PhD

Lecturer in Business Analytics

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Dr Sasan Barak is a Lecturer (Assistant Professor) in Business Analytics within Southampton Business School at the University of Southampton.

He has been awarded a double degree PhD (with two PhD diplomas) from the Technical University of Ostrava, Czech Republic (in the field of quantitative methods in finance), and the University of Bergamo, Italy (in the field of Analytics for Economics and Business).

Sasan's main area of research revolves around forecasting model selection and implementation of statistical and machine learning algorithms in business and finance. Recently he has been working on Meta-learning and Deep Learning for forecasting model selection. His past work includes studies on Forecasting energy consumption; Evaluating stocks by features selections and data mining methods; Fusion of multiple diverse predictors, and Evaluation and selection of clustering methods. He is also interested in Multi-Criteria Decision Making and Multi-objective optimization, while he obtained some international research grants related to these topics.

He has been an active researcher in the field of data analytics and decision making, and the outcome of his research has appeared in leading analytics journals such as European Journal of Operational Research, International Journal of Production Economics, Expert System with Applications, Information Fusion, and International Journal of Production Research. He is the principal investigator of two European grant projects funded by the Czech Science Foundation (GACR). He has acted as external PhD examiner for the Polytechnic University of Valencia.

Prior to joining University of Southampton, he was a research assistant and associate lecturer at Lancaster University Management School (LUMS), Center of Marketing Analytics and Forecasting.

He is also doing part time research at the Technical University of Ostrava (VSB), Czech Republic.

Qualifications

Non-academic Work Experience

2013-present: Algorithm trader and financial analyst in Stock, Forex, and Commodity markets

Main Achievements:

Research interests

Primary research centre

CORMSIS

Computational Finance & Business Analytics

Department

Department of Decision Analytics and Risk

Member of:

  • International Institute of Forecasters (IIF)
  • International Association of Engineers (IAENG)
  • Britain Operations Research Society (ORS)
  • European Institute of Industrial Engineering (IIE)

Reviewer :

  • “Applied Soft Computing”,
  • “European Journal of Operational Research”,
  • “Expert systems with applications”,
  • “Journal of Cleaner Production” 

PhD research

ESRC Grant for Advance Quantitative Method Project (AQM) at Lancaster University, UK

Grants

Principal Investigator:

GACR - Multi-Objective Optimization Application in Flexible Manufacturing and Project Scheduling Problems: Theory and Applications (2018-2020) Grant No. GA 18-15530S (125,000GBP)

GACR - Multiple Criteria Decision Making Modelling: Novel Weighting Methods and Hybrid Approaches (2017-2018) Grant No. GA 17-22662S (55,000GBP)

Research Team:

European project – Operational Programme Education for Competitiveness. Ministry of Education, Youth and Sport of the Czech Republic:  OP VK (Project No. CZ.1.07/2.3.00/20.0296): Research team member for modelling of economic and financial processes

Research Grant for GACR project (GA18-13951S): New approaches to financial time series modelling based on soft computing

Research Grant for GACR project (GA16-17810S): Selective measures in data envelopment analysis: Theory and Applications

Research Grant for GACR project (GA 15-23699S): Risk Probability Functional and Ordering Theory Applied to International Financial Markets and Portfolio Selection Problems

Research Grant for GACR project (GA 14-31593S): Examining allocative efficiency through network data envelopment analysis

Winner of the 2013 Iranian National Elites Foundation award (INEF)

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Articles

Book Chapters

MANG2062: SAS Base Programming

MANG2065: Business Forecasting

MANG6229: Multivariate Statistics for Data Mining

Dr Sasan Barak
Southampton Business School, University of Southampton, Highfield, Southampton SO17 1BJ, UK

Room Number: 2/5047


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