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Bahman Rostami-Tabar

Professor Bahman Rostami-Tabar


Professor of Data-Driven Decision Science

Cardiff Business School

+44 29208 70723
Aberconway Building, Room C08, Colum Road, Cathays, Cardiff, CF10 3EU
Available for postgraduate supervision


 Bahman is the Professor of Data-Driven Decision Science at Cardiff Business School, Cardiff University, UK.

Bahman is the founder and director of Data Lab for Social Good Research Group at Cardiff Business School and the founder and inaugural Chair of Forecasting for Social Good initiatives sponsored by the International Institute of Forecasters. Bahman specializes in the development and application of modelling, forecasting and management science tools and techniques providing informed insights for planning & decision-making processes in sectors contributing to social good, including healthcare operations, global health and humanitarian supply chains, agriculture and food, social sustainability, and governmental policy. His collaborative efforts have spanned a multitude of organisations, including notable bodies such as the National Health Service (NHS), Welsh Ambulance Service Trusts (WAST), United States Agency for International Developments (USAID), the International Committee of the Red Cross (ICRC), and John Snow Inc. (JSI). A remarkable highlight of his contributions is his pivotal role in disseminating forecasting knowledge especially in low and lower-middle income countries through the democratizing forecasting project sponsored by International Institute of Forecasters.

Bahman holds a Ph.D. in Production Engineering from the University of Bordeaux, France. He earned his B.Sc. in Industrial Engineering from K.N.Toosi University of Technology, Tehran, Iran, and his M.Sc. in Industrial Engineering from Tarbiat Modares University, Tehran.













Book sections




I am interested in developing innovative methodologies in forecasting for social goo and how forecasting, nowcasting and .

Primary research interests

  • Forecasting for Social Good
  • Healthcare operations
  • Global health and Humanitarian operations
  • Data Driven Forecasting (featured-based, Machine Learning)
  • Machine learning
  • Decision Science


Teaching commitments

  • Forecasting
  • Business Data Analytics
  • Healthcare Planning Evidence & Analytics
  • Inventory Management
  • Supply Chain Planning

I have been delivering trainings on Data Analytics and Forecasting using R since 2018. I have trained over 500  people in the UK (mainly NHS analysts), Tunisia, Senegal, Nigeria, Uganda, Iraq, Turkey, Indonesia and Georgia so far. My trainings cover various topics including how to prepare, manipulate and visualize data, apply various forecasting models and evaluate their forecast accuacy in R.

If you need a training in these areas, get in touch.



  • 2016 - Postgraduate Certificate in Learning and Teaching in Higher Education, Coventry University, UK
  • 2014 - Ph.D., Production Engineering. Thesis entitled 'ARIMA Demand Forecasting by Aggregation', University of Bordeaux, France
  • 2010 - M.Sc., Information Systems, ECE Paris, France
  • 2009 - Proficiency in French Language, Université de Poitiers , France
  • 2008 - M.Sc., Industrial Engineering, Tarbiat Modares University, Tehran, Iran
  • 2002 - B.Sc., Industrial Engineering, K.N.Toosi Uni. Of Technology, Tehran, Iran (4 years).

Honours and awards

  • 2009 - 2013 Campus France Scholarship award
  • 2013 MIM best paper award (IFAC)
  • 2017 International Symposium on Industrial Engineering and Operations Management, Best Track Paper Award, Bristol, UK

Academic positions

  • 2015 - 2016: Lecturer in Supply Chain Management, School of Strategy and Leadership, Coventry University,  UK.
  • 2013 - 2015: Postdoctoral Research Fellowship, Industrial Engineering Lab, Ecole Centrale Paris,  France.


PhD Supervision

I welcome enquiries from potential PhD students in the areas of

  • Forecasting for Social Good
  • Healthcare Operations
  • Global Health and Humanitarian Supply Chain
  • Data Science and Machine Learning in healthcare and policy
  • Time Series Forecasting
  • Forecasting by Aggregation (Hierarchical and temporal)


Current supervision

Mingzhe Shi

Mingzhe Shi

Graduate Tutor

Zihao Wang

Zihao Wang

Research student


  • Time Series Forecasting
  • Machine learning
  • Data-Driven Decision Science
  • Forecasting for Social Good
  • Hierarchical and Temporal Forecast Reconciliation