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Personal profile


I am a research fellow in Data Science currently working on renewable energy forecasting.  I received my PhD in Statistics from the University of Newcastle, and have an Engineering background. I have worked on a range of different topics such as forecasting, optimisation, business analytics, and supply chain management.

I am very much interested in communicating science and applying my knowledge to real-world problems.  My research interests include forecasting, decision making, business analytics, and my research tools are data science and machine learning models, statistical and time series models, Bayesian Network, and optimisation techniques. I am passionate about multi-disciplinary researches where I can apply my knowledge and help researchers and industries from different disciplines to solve problems effectively.

Education/Academic qualification

Statistics, PhD, University of Newcastle

Award Date: 15 Aug 2019

Industrial Management, M.Sc, Universidad Politecnica de Madrid (Polytechnic University of Madrid)

Award Date: 20 Feb 2016

Industrial Enginnering, B.Sc, Bu-Ali Sina University

Award Date: 20 Sep 2013

External positions

Member, International Institute of Forecasters

Research area keywords

  • Forecasting
  • Machine Learning
  • supply chain management
  • Business Analytics
  • Applied Data Science
  • judgment and decision-making


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