Faculty Details

1. Ph.D. in Operations Management and Decision Sciences, Indian Institute of Management Kashipur (with emphasis on data-driven methods such as analytics)
2. M.Sc. (Engineering) in Product Design and Manufacturing, Indian Institute of Science, Bangalore
3. B.Tech. in Production Engineering, G.B. Pant University of Agriculture and Technology, Pantnagar

Having held key positions in two of India’s top organizations, Prof. Rahul Kanyal brings valuable industry experience in technology-driven management, with a strong focus on cloud computing, Internet of Things (IoT), sensor-based systems, and digital transformation strategies.

At Bharat Heavy Electricals Limited (BHEL) in Ranipet, Tamil Nadu, he began his career as a Production Engineer. In this high-capacity industrial setting, he managed manufacturing operations, ensured process efficiency, and upheld product quality. This foundational experience has been instrumental in shaping his understanding of modern manufacturing paradigms, including Industry 4.0 practices such as predictive maintenance and data-driven process optimization.

Later, he worked at Tata Motors Limited's R&D Center in Pune as Senior Manager of Crash and Safety. Using cloud-based simulation platforms like LS-DYNA and HyperMesh for virtual testing and finite element modeling, Prof. Kanyal worked on the structural integrity and crashworthiness of automobiles in this capacity. In order to improve vehicle safety standards and validate simulation results, he worked on analyzing sensor data from crash tests. He was actively involved in cooperative, simulation-driven product development, where project execution was greatly aided by the incorporation of digital tools and organized information management.

Prof. Kanyal’s interests lie in the design of decision support systems for managerial decision-making, machine and deep learning- based frameworks, application of reinforcement learning, decision modelling, and data-driven optimization.

• Kanyal, R., & Patra, S. (2025). Promised hassle time management in online retailing with fraudulent and regretful customers. Journal of Retailing and Consumer Services, 82, 104100. [ABDC A and Scopus Indexed]

• Kanyal, R. (2025, June). Optimizing operational maintenance plan of military aircrafts: An operational sustainability perspective. Paper presented at the 15th Annual EDSI Conference, Gothenburg, Sweden.
• Kanyal, R. (2025, January). A predictive data-driven approach to accurately determine hotel ratings. Paper presented at the 11th Management Doctoral Colloquium 2025, VGSoM, IIT Kharagpur.