معرفی
Aseem Kinra is a Professor at the School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, United Kingdom. He is actively involved in research and supervision, currently accepting PhD students for projects focused on digital transformation and sustainability in global supply chains.
His research interests lie at the intersection of digital technologies and sustainable operations, particularly in supply chain management. He investigates how digital objects, blockchain, and data-driven technologies can enable transformative change toward net-zero and regenerative supply systems. His work emphasizes decision-making, resilience, transparency, and stakeholder engagement in complex logistics environments.
The recent trends in his publications reflect a strong focus on digital supply chains, sustainability transitions, and technological innovation. His research spans topics such as blockchain for trust in food supply chains, digital twins for maritime logistics, bibliometric analysis of data-driven technologies, and sustainability in humanitarian and circular supply chains. These works collectively demonstrate a commitment to leveraging digital transformation for environmental and social impact.
While no specific scientific awards are mentioned, his extensive publication record in high-impact journals and conference proceedings indicates significant scholarly contribution. He has supervised or collaborated on numerous research projects, as evidenced by his co-authored works and editorial roles, including serving as a co-editor for conference proceedings. His research is aligned with multiple UN Sustainable Development Goals, particularly those related to sustainable industries, responsible consumption, climate action, and innovation.
Aseem Kinra is engaged in collaborative research across international boundaries, with recent work involving partners in Europe and beyond. His projects often involve qualitative and quantitative analysis of organizational practices, policy frameworks, and technological adoption, aiming to generate actionable insights for both industry and policymakers.
