Staff Profile
Dr Parsa Parvasi
Lecturer / Assistant Professor in Shipping & Logistics
- Email: parsa.parvasi@ncl.ac.uk
- Address: School of Engineering,
Stephenson Building, Newcastle University
NE1 7RU, UNITED KINGDOM
Introduction
Parsa is a Lecturer in Shipping and Logistics. His research focuses on sustainable and autonomous maritime transport, maritime decarbonization, and the application of operations management and operations research to shipping and logistics systems.
Parsa holds a PhD in Industrial Engineering from the University of Tehran (2021), with research grounded in game theory, pricing, and supply chain management. He joined Newcastle University after working as a Postdoctoral Researcher at the Technical University of Denmark (DTU) within the Operations and Supply Chain Management (OSCM) group in the Department of Technology, Management and Economics. There, he contributed to research projects on autonomous shipping, renewable fuels, logistics system redesign, and game-theoretic modelling in maritime transport, working closely with industry partners and policymakers to support practical and policy-relevant outcomes.
Areas of expertise
- Marine Transport and Ports
- Logistics and Supply Chain Management
- Maritime Decarbonization
- Operations Management
- Operations Research
Research Interests
Open to applications from PhD students
- Maritime logistics and emerging technologies: application of new technologies in maritime transportation and logistics; digitalisation; autonomous vessels; innovation in port and shipping operations.
- Sustainability and decarbonisation: strategies for reducing emissions in maritime transport; energy transition in shipping; ports as hubs for energy transition; environmentally sustainable logistics systems.
- Resilience in transport and supply chains: robustness of maritime and logistics networks; adaptive and resilient system design under uncertainty; risk assessment of emerging technologies and alternative fuels in maritime systems.
- Operations management and optimisation: decision-making in complex logistics and transportation systems; optimisation models for planning, pricing, and resource allocation in maritime systems.