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Bahman Rostami-Tabar

Professor Bahman Rostami-Tabar

(he/him)

Professor of Data-Driven Decision Science

Cardiff Business School

Users
Available for postgraduate supervision

Overview

Bahman is the Professor of Data-Driven Decision Science at Cardiff Business School, Cardiff University, UK. He is interested in transforming data into insights for making better decisions. Bahman is the founder and director of Data Lab for Social Good Research Group at Cardiff Business School and the founder and chair of Forecasting for Social Good initiatives sponsored by the International Institute of Forecasters. He is also leading the "Uncertainty & the Future" theme at the Digital Transformation Innovation Institute.

Bahman is passionate about uncertainty and the future. He specialises in the development and application of probabilistic modelling, forecasting, and operational research tools and techniques, providing informed insights for policy & decision-making processes in facing uncertain futures, and his research has contributed to sectors contributing to social good, including healthcare operations, global health and humanitarian supply chains, agriculture and food, social sustainability, and governmental policy. 

Bahman's research contributions fall into three areas:

1) Conceptual, focusing on how forecasting and modelling can be used for social good or to inform decisions related to the Sustainable Development Goals (see, for example, Forecasting for social good; Alliance or apathy? Forecasting’s role in achieving the U.N. sustainable development goals; also, harm in forecasting (in-progress) and barriers in using models in healthcare (in-progress)

2) Methodological, Investigate methodological solutions to questions about philosophy, theory and practice; see, for example, Forecasting interupted time series; Exploring the association between time series features and forecasting by temporal aggregation using machine learning; and Demand forecasting by temporal aggregation.

3) Applications: application of forecasting and modelling in healthcare management science, global health & humanitarian supply chains, and UN Sustainable Development Goals. See, for example, Hierarchical Time Series Forecasting in Emergency Medical Services; Probabilistic forecasting of hourly emergency department arrivals; and A hybrid LSTM method for forecasting demands of medical items in humanitarian operations.

Bahman's collaborative efforts have spanned a multitude of organisations, including notable bodies such as the National Health Service (NHS), Welsh Ambulance Service Trusts (WAST), the United States Agency for International Development (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 the International Institute of Forecasters.

Publication

2024

2023

2022

2021

2019

2017

2016

2015

2014

2013

2008

Articles

Book sections

Conferences

Research

Research

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

Primary research interests

Methodology:

  • Uncertainty and the Future
  • Modelling and Analytics
  • Data Science, Machine learning & AI
  • Probabilsitic Forecasting
  • Tools for thinking about the future 
  • Operational Reserach

Applications:

  • Social Good
  • Health and Care Systems
  • Global and Public Health Supply Chains
  • Humanitarian Supply Chains

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.

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
  • 2004 - B.Sc., Industrial Engineering, K.N.Toosi Uni. Of Technology, Tehran, Iran (4 years).

Honours and awards

  • 2024, Fellowship, Montpellier Advanced Knowledge Institute on Transitions
  • 2021, Public value Fellow
  • 2021, Associate Fellow, NHS-R community
  • 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.
  • 2014 - 2015: Postdoctoral Research Fellowship, Industrial Engineering Lab, Ecole Centrale Paris,  France.

Supervisions

PhD Supervision

I welcome enquiries from potential PhD students in the areas of

Theory & methodology:

  • Uncertainty & the Future
  • Dats Science, Machine Learning & AI
  • Operational Reserach
  • Probabilistic Forecasting
  • Forecasting by Aggregation (Hierarchical and Temporal)

Applications:

  • Healthcare Systems
  • Global and Public Health Supply Chains
  • Humanitarian Logistics & Supply Chains
  • Social Good
  • UN Sustainable Development Goals

 

Current supervision

Mingzhe Shi

Mingzhe Shi

Graduate Tutor

Zihao Wang

Zihao Wang

Research student

Rui Xu

Rui Xu

Research student

Udeshi Salgado

Udeshi Salgado

Research student

Mustafa Aslan

Mustafa Aslan

Research student

Amir Salimi Babamiri

Amir Salimi Babamiri

Research student

Past projects

1. Dr. Diego Bermudez Bermejo, 2020-2024, An integrative multifactor systems approach to enhance the operational resilience and sustainability of the UK retail payments’ organisational stakeholders, currently working at Ellen MacArthur Foundation

Contact Details

Email Rostami-TabarB@cardiff.ac.uk
Telephone +44 29208 70723
Campuses Aberconway Building, Room C08, Colum Road, Cathays, Cardiff, CF10 3EU

Specialisms

  • Uncertainty
  • AI & Machine Learning
  • Forecasting
  • UN Sustainable Development Goals & Social Good
  • Healthcare Operations & Supply Chains