Dr. Pankaj Sharma is a Senior Lecturer in the School of Business at UNSW Canberra, University of New South Wales. He holds a PhD in Industrial Engineering from the Indian Institute of Technology Delhi, completed in 2017, with a thesis entitled 'Modelling a Dynamic Time-Separated Lean-Agile Spare Parts Replenishment System for the Army'. He also earned an M.Tech. in Industrial Engineering from IIT Delhi and a B.Tech. in Mechanical Engineering from Jawaharlal Nehru University Delhi. Prior to his current role, Sharma served as a Senior Research Fellow at the Centre for Next Generation Logistics (C4NGL) at the National University of Singapore from 2018 to 2023, contributing to the 'Digital Twin of the Next Generation Warehouse' project. With over 21 years of experience in the Army managing complex logistics and maintenance operations, he brings substantial practical expertise to his academic pursuits.

Sharma's research focuses on Asset Management, Logistics and Supply Chain Management, Humanitarian Logistics, Spare Parts Supply Management, and Advanced Technologies in Logistics. His scholarly contributions include co-authoring the book 'The MANTIS Book' (2022, River Publishers) and chapters such as 'The Use of Relational and NoSQL Databases in Industrial Asset Management' (2020, Lecture Notes in Mechanical Engineering) and 'Application of Open Source Hardware to the Development of Autonomous Maintenance Support Systems' (2017, Decision Engineering). Key journal articles encompass 'From linear to circular sustainable supply chain network optimisation: towards a conceptual framework' (2025, Production Planning and Control), 'Modelling supply chain risk events by considering their contributing events: a systematic literature review' (2025, Enterprise Information Systems), 'The adoption of I4.0 technologies for a sustainable and circular supply chain: an industry-based SEM analysis from the textile sector' (2024, Business Strategy and the Environment), 'Stock reallocation policy for repairable service parts in case of supply disruptions due to extreme weather events' (2023, International Journal of Production Economics), 'Blockchain and third-party logistics for global supply chain operations: Stakeholders’ perspectives and decision roadmap' (2023, Transportation Research Part E: Logistics and Transportation Review), and 'Big Data Analytics for Crisis Management From an Information Processing Theory Perspective: A Multimethodological Study' (2022, IEEE Transactions on Engineering Management).

Professional Email: P.Sharma@unsw.edu.au