Faculty

Dr. Abhinav Kumar Sharma

Academic and Professional Qualification

  • PhD, Operations Management, Shailesh J. Mehta School of Management, Indian Institute of Technology (IIT) Bombay (2021)
  • Master of Design, Mechanical Systems, Indian Institute of Information Technology Design and Manufacturing (IIITD&M) Kancheepuram, Chennai (2015)
  • Bachelor of Technology (Hons.), Mechanical Engineering, Himachal Pradesh University (HPU), Shimla, Himachal Pradesh (2012)

 

Research Area: Quality improvement and management, multiple response optimisation, metaheuristic search strategies, business analytics

Teaching Interest: Quality Management, Business Analytics, Multivariate Statistics, Operations Management, Operations Research

Teaching Experience

  • Assistant Professor (Operations and Data Sciences), School of Business Management, Naresee Monjee Institute of Management Studies University (NMIMS), Mumbai, India. (August 2021 – till now) 
  • Visiting Faculty, Symbiosis Institute of Business Management (SIBM), Pune, India. January (2022- June 2022)

Administrative Experience

  • Chair, School of Business Management Data Analytics Team, School of Business Managememt, Naresee Monjee Institute of Management Studies University (NMIMS), Mumbai, India, June 2022 – till now

Journal Publications

  1. Sharma, A. K., Mukherjee, I., & Bera, S. (2022). A novel machine learning-based multiobjective robust optimisation strategy for quality improvement of multivariate manufacturing processes. International Journal of Production Research, 1–19. https://doi.org/10.1080/00207543.2022.2093683 [Ranked ‘A’ in ABDC 2019 list]
  2. Sharma, A. K., Mukherjee, I., Bera, S., & Sengupta, R. N. (2021). A robust multiobjective solution approach for mean-variance optimisation of correlated multiple quality characteristics. International Journal of Quality & Reliability Management. https://doi.org/10.1108/IJQRM-12-2020-0409 [Ranked ‘B’ in ABDC 2019 list]
  3. Sharma, A. K., & Mukherjee, I. (2020). Enhanced multi-objective solution approach for multiple quality characteristics optimisation problems considering predictive uncertainties. International Journal of Quality and Reliability Management, 37(1), 112–144. https://doi.org/10.1108/IJQRM-01-2019-0011 [Ranked ‘B’ in ABDC 2019 list]

Book Chapters

  1. Sharma, A. K., & Mukherjee, I. (2022). A Multi-objective Particle Swarm Optimisation-Based Solution Approach for Multiple Mean-Responses Optimisation Considering Empirical Model Uncertainties. In Studies in Quantitative Decision Making (pp. 113-142). Springer, Singapore

Conference Proceedings

  1. Sharma, A. K., & Mukherjee, I. (2018). Simultaneous prediction interval-based multi-objective solution approach for multiple quality characteristics optimisation. 2018 IEEE 5th International Conference on Industrial Engineering and Applications, ICIEA 2018, 373-377. Conference held at National University of Singapore, Singapore, April 26-28, 2018.
  2. Sharma, A. K., & Mukherjee, I. (2018). A hybrid NSGA-II for response-surface-based multiple quality characteristic optimisation considering model uncertainty. Proceedings of 48th International Conference on Computers and Industrial Engineering, [79]-1-[79]-14. Conference held at The University of Auckland, New Zealand, December 2-5, 2018.
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