Research Output per year
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, Australia. I have an Engineering background and 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.
Statistics, PhD, The University of Newcastle
Industrial Management, M.Sc, Universidad Politécnica de Madrid (UPM)
Industrial Enginnering, B.Sc, Bu-Ali Sina University
Research area keywords
- Machine Learning
- supply chain management
- Business Analytics
- Applied Data Science
- judgment and decision-making
An integrated scenario-based robust planning approach for foresight and strategic management with application to energy industryAlizadeh, R., Lund, P. D., Beynaghi, A., Abolghasemi, M. & Maknoon, R., Mar 2016, In : Technological Forecasting and Social Change. 104, p. 162-171 10 p.
Research output: Contribution to journal › Article › Research › peer-review
Activities per year