Skip to main content
Dr Bahman Rostami-Tabar

Dr Bahman Rostami-Tabar

Reader in Management Science and Business Analytics

Cardiff Business School

Email
rostami-tabarb@cardiff.ac.uk
Telephone
+44 (0)29 2087 0723
Campuses
C08, Aberconway Building, Colum Road, Cathays, Cardiff, CF10 3EU
Users
Available for postgraduate supervision

Overview

Bahman is a Reader (Associate Professor) in Management Science & Business Analytics at Cardiff Business School, Cardiff University, UK.

He holds a Ph.D. in Industrial 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.

Bahman is the founder and Chair of Forecasting for Social Good initiatives sponsored by the International Institute of Forecasters. In his research, he has been developing and using management science and analytic tools and techniques to improve decision-making in healthcare, humanitarian operations and supply chain sectors. He has been working with many organisations including the National Health Service (NHS), Welsh Ambulance Service Trusts, United States Agency for International Developments and John Snow, Inc.

His research goals are directed toward the use of Management Science tools and techniques to improve decision making in supply chains and operations management, and as such positively contribute to both industrial and societal advancements.

Biography

Qualifications

  • 2016 - Postgraduate Certificate in Learning and Teaching in Higher Education, Coventry University, UK
  • 2014 - Ph.D., Industrial 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.

Publications

2022

2021

2019

2017

2016

2015

2014

2013

2008

Teaching

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.

Research

I am interested in research on time series forecasting, and developing innovative methodologies in forecasting for social good. In my research, I have examined how a data transformation apparoach (Temporal Aggregation) can improve forecast accuracy and  utilities. I am currently working on projects which are concerned with the social impact of forecasting.

Primary research interests

  • Data Driven Forecasting (featured-based, Machine Learning)
  • Business Analytics
  • Time Series Forecasting
  • Forecasting for Social Good
  • Predictive modelling in healthcare
  • Forecasting and Inventory Control in Supply Shain
  • Forecasting by Aggregation
  • Forecasting and decision making

Supervision

PhD Supervision

I welcome enquiries from potential PhD students in the areas of

  • Forecasting for Social Good
  • Predictive Modelling
  • Time Series Forecasting
  • Forecasting and Inventory Control in Supply Chain
  • Forecasting by Aggregation
  • Forecasting and Decision Making
  • Analytics & policy

Applications are welcome in Healthcare, Humanitarian Operations, Supply Chain.

Current supervision

alt

Diego Bermudez Bermejo

Research student

alt

Mingzhe Shi

Research student

Zihao Wang

Research student

Ruikai Sun

Research student