Personal profile
Summary
Dr. Nazam Ali earned his bachelor’s degree in Transportation Engineering from University of Engineering and Technology, Lahore in 2014. His Masters is from Sirindhorn International Institute of Technology, Thammasat University, Thailand (2016-2018). He earned his PhD from Kanazawa University, Japan. He has diverse experience of working with organizations and collaborators from around the globe. His main research areas are transport modeling, travel behaviours, transport policy, mobility-as-a-service, and travel behaviour monitoring and evaluations. He worked at University of Management and Technology Lahore, COMSATS University Islamabad, and The University of Hong Kong. Currently, he is working as a researcher at University of Portsmouth, United Kingdom.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Ph.D., Modeling the Transport and Land-use System through a Unified Equilibrium Model and Predicting the Public Transport Mode Choice Behavior., Kanazawa University
1 Oct 2019 → 26 Sept 2022
Award Date: 26 Sept 2022
MSc, Classification and The Study of Impacts on Fuel-economy of Heavy-duty Vehicles., Thammasat University
8 Aug 2016 → 31 Aug 2019
Award Date: 31 Aug 2018
BSc (Hons), Preference Evaluation of Metro Bus Systems (MBS) at Signalized Intersections: A Lahore City Case Study, NED University of Engineering and Technology
30 Sept 2010 → 31 Aug 2014
Award Date: 31 Oct 2014
External positions
Postdoctoral Fellow, The University of Hong Kong
9 Aug 2023 → 12 Sept 2024
Assistant Professor, COMSATS University Islamabad
17 Oct 2022 → 4 Aug 2023
Lecturer, University of Management and Technology
4 Sept 2018 → 30 Sept 2019
Keywords
- TA Engineering (General). Civil engineering (General)
- Travel Behaviour
- Transport Planning
- Transport Policy
- Mobility as a Service
- Monitoring and Evaluation
- Machine Learning