My life objective is to help the world becoming a better place by freely offering my skills and developing free resources. To that end, I have established two main initiatives that put the society/people in the heart of my research, teaching and engagement activities: 1) Democratising Forecasting; 2) Forecasting for Social Good.
My research goals are directed toward the use of Operations Research (OR) techniques to improve decision making in supply chains and operations management, and as such positively contribute to both industrial and societal advancements.
PhD in Industrial Engineering, 2014
University of Bordeaux
MSc. in Information Systems, 2010
MSc. in Industrial Engineering, 2007
Tarbiat Modares University
This is an ongoing initiative, sponsored by the International Institute of Forecasters will provide cutting-edge training in the use of forecasting with R in some of the world’s least developed countries to transfer knowledge in forecasting and help decision makers use it as an effective tool to support decision-making process. R is an open source programming language and software widely used for data analysis, manipulation, visualisation and modelling.
“These workshops aim to provide up-to-date training on the principles of forecasting and create an international network to conduct research on forecasting with social impact for less developed countries.”
The workshops will be provided by Dr Bahman Rostami-Tabar whose research focuses on forecasting for social good, supply chain forecasting and the interface between forecasting and decision-making. For more information please see IIF Website
To organise a workshop in your country, contact firstname.lastname@example.org.
This project is funded by Global Challenge Research Fund. The project will focus on the analysis of the flow management practices (information, products, staff and patients) for the A&E and medical admissions in the Charle Nicole hospital in Tunisia
We organize a workshop in India, bringing together academics and practitioners (NGOs, governmental organizations, private companies, etc. with social missions), to provide access to high quality training, share knowledge, and build capacity and relationships for collaborative research on forecasting and data analytics for social good, consistent with the purpose of GCRF on sustainable development.
The goals of this study is to explore and evaluate the impact of special events such as holidays, weather, festivals and sport events in using several statistical forecasting methods to predict A&E patient volumes. A new model will be developed considering special events and will be compared to a benchmark and existing time series forecasting methods.
Subject I am teaching in 2018-2019 at Cardiff University :
The Forecasting module aims to provide students with an in-depth understanding of demand forecasting, and essential planning activity within the field of operations and supply chain management. It is taught by combining theoretical and applied approaches appropriate to an MSc audience and draws upon the latest forecasting techniques. It develops, applies and consolidates learning through solving problems related to real demand patterns. Specifically, it aims to:
This module will equip students with: