Dr. Monalisa Masanta

Dr. Monalisa Masanta

Assistant Professor

Profile Summary

Dr. Monalisa Masanta is an academic and researcher in quantitative management sciences with expertise in Operations Research, Supply Chain Management, and Sustainability. She earned her Ph.D. in Mathematics from Jadavpur University. 

Before joining UPES, she served as an Institute Postdoctoral Fellow at Indian Institute of Technology Guwahati and as a Research Associate at the SQC & OR Unit of Indian Statistical Institute. 

She has presented her research at several international conferences and published in reputed peer-reviewed journals. Dr. Masanta is also a life member of the Operational Research Society of India. Her academic work focuses on analytical modelling for efficient, sustainable, and resilient business systems.

Work Experience

Before joining UPES, Dr. Masanta was an Institute Postdoctoral Fellow at Indian Institute of Technology Guwahati. She previously worked as a Research Associate at the SQC & OR Unit of Indian Statistical Institute.

Research Interests

Operations Research; Supply Chain Management; Inventory Management; Reverse Logistics; Green Operations; Sustainability.

Teaching Philosophy

Dr. Masanta believes in building strong analytical foundations supported by practical business applications. Her teaching approach encourages problem-solving, quantitative reasoning, and structured decision-making through real-world cases and data-driven methods.

Courses Taught

Operations Research; Supply Chain Management; Inventory Management; Quantitative Techniques; Decision Sciences; Business Analytics.

 

Awards and Grants

Recipient of the INSPIRE Scholarship and INSPIRE Fellowship. Qualified the Joint CSIR-UGC NET examination.

Scholarly Activities

Dr. Masanta has published research in ABDC, SCI, and SSCI-indexed journals including Journal of Cleaner Production, International Journal of Systems Science: Operations & Logistics, Journal of Management Analytics, Operational Research, and Journal of Industrial and Production Engineering. 

Her research contributes to optimisation models, sustainable supply chains, reverse logistics, and operational efficiency. She regularly participates in academic conferences and continues to engage in interdisciplinary research at the intersection of analytics and sustainability.