Deepti Mohan

Assistant Professor
Deepti Mohan

Qualifications

PhD in Operations and Decision Sciences, Indian Institute of Management Ahmedabad
MBA, Amrita School of Business, Coimbatore
BTech in Electrical and Electronics Engineering, University of Calicut

Areas of Expertise

Operations Research, Combinatorial Optimization, Mathematical Programming, Metaheuristics, Large-scale Optimization, Warehouse Operations and Logistics, Manufacturing Systems, Managerial Statistics, Quantitative Methods, Operations Analytics, Data Analysis
 

Deepti Mohan

Assistant Professor

Profile & History

Dr. Deepti Mohan is an Assistant Professor in the Information Technology and Operations Management Area at the Goa Institute of Management. She holds a PhD in Operations and Decision Sciences from the Indian Institute of Management Ahmedabad.

She completed her MBA from Amrita School of Business, Coimbatore, and her BTech in Electrical and Electronics Engineering from the University of Calicut, where she secured First Rank in the university.

Before entering academia, she gained corporate experience with Cognizant Technology Solutions and CRISIL Global Research and Analytics.

Her research focuses on the development of mathematical models and efficient solution methodologies for complex operations and logistics problems. Her principal research interests include combinatorial optimization, warehouse operations, manufacturing systems, mathematical programming, metaheuristics, large-scale optimization, and operations research.

Her teaching interests include managerial statistics, quantitative methods, operations research, operations analytics, data analysis, mathematical modelling, and optimization.

Research & Publications

Book chapter:

  • Mohan, D., and Ghosh, D. (2024). “A Neighborhood Search Algorithm for the Tool Indexing Problem without Tool Duplication.” In Optimization Essentials, International Series in Operations Research & Management Science, Vol. 353, pp. 633–667. Springer, Singapore. DOI:https://doi.org/10.1007/978-981-99-5491-9_21
     

Conferences

  • Mohan, D., and Ghosh, D. “NP-Completeness of the Tool Indexing Problem without Tool Duplication.” Presented at the 33rd European Conference on Operational Research—EURO 2024, Copenhagen, Denmark, 30 June–3 July 2024.
  • Deepti Mohan and Diptesh Ghosh, “An Efficient Neighborhood Search for the Tool Indexing Problem with Tool Duplications,” 31st European Conference on Operational Research (EURO 2021), University of West Attica, Athens, Greece, 11-14 July, 2021.
  • Deepti Mohan and Diptesh Ghosh, “Efficiently Searching a 2- Swap Neighbourhood for the Tool Indexing Problem,” 52nd Annual Convention of ORSI & International Conference, IIM Ahmedabad, Ahmedabad, India, 15-18 December, 2019.
     

Experience

Ex Cognizant & CRISIL