megha

Name Card

Name: 
Megha Sharma
Position: 
Associate Professor
Academic Group: 
Operations Management
Phone No.: 
+91-33-2467 8300
Contact Details: 
Joka, Diamond Harbour Road, Kolkata 700104,West Bengal, India.
Personal Details: 
Operations Management Group Indian Institute of Management Calcutta, Joka, Diamond Harbour Road, Kolkata 700104, West Bengal, India.
Email (@iimcal.ac.in): 
megha

Academics

Academic Background: 
Fellow, Indian Institute of Management Ahmedabad, India; Bachelor of Technology, Malaviya National Institute of Technology, Jaipur, India;
Courses Taught: 
In Full-Time Residential Programs: At IIM Calcutta - Operations Research - Risk Management - Operations Research in Marketing - Mathematics - Stochastic Optimization - Management Game (the experiential learning simulation) At IIM Ahmedabad - Mathematics for Management (PGP-ABM Preparatory Program) - Quantitative Methods in Decision Making(PGP-PMP, tutor) - Data Analysis (PGP-PMP, tutor) At other IIMs and leading B-Schools - Simulation - Statistics - Optimization - Project Management - Supply Chain Management - Business Research Methods In Executive Training Programs - Data Analytics - Statistics for Analytics - Supply Chain Analytics - Supply Chain Modeling - Project Management - Quantitative Analysis for Decision Making - Operations Management Training Programs Coordinated/offered - Leveraging Digital Disruption for Competitive Advantage and Business Growth - General Management Program for UPSC recruits (IAS/IES) for National Academy for Defense Production - Executive General Management Program for Deloitte - Advanced Program in Supply Chain Management - Executive Program for Young Managers
Awards: 
- Best Paper Award (First Place) in Theory and Methodologies Category at the XXIII Annual International Conference of the Society of Operations Management (SOM 2019) for a paper co-authored with Subhasis Mishra and Balram Avittathur - Best Paper Award (Second Place) in Supply Chain Competition at the 9th Annual International Conference on Industrial Engineering and Operations Management, Thailand for a paper co-authored with Sumanta Basu and Arnab Adhikari - Industrial Finance Corporation of India Thesis Proposal Award (2009), awarded by the Industrial Finance Corporation of India and the Indian Institute of Management Ahmedabad for doctoral thesis proposal - Institute Gold Medal (2005), awarded for outstanding academic performance at Malaviya National Institute of Technology, Jaipur. - Prof. M.M. Dandekar Memorial Gold Medal (2005) at Malaviya National Institute of Technology, Jaipur. - Gargi Puraskar (1998), awarded by the Government of Rajasthan for excellent performance in Secondary Board Examination.

Experience

Consulting Interests: 
- Process improvement through data analytics - Business decision modeling - Optimization in Marketing Decisions - Marketing Analytics - Supply Chain Analytics
Work Experience: 
2016 onwards: Associate Professor, Operations Management Group, Indian Institute of Management Calcutta 2013 - 2016: Assistant Professor, Operations Management Group, Indian Institute of Management Calcutta 2010 - 2013: Assistant Professor on Contract, Operations Management Group, Indian Institute of Management Calcutta
Current Projects: 
Rebranding of a highly successful brand: a case study for a market leader based on primary data Healthcare operations management: a service operations case study based on Secondary data Advertisement revenue maximization for Video-Sharing Websites such as Youtube, Hotstar etc. : A quantitative research project

Research

Journal Publications: 
Advertisement Revenue Management: Determining the Optimal Mix of Skippable and Non-Skippable Ads for Online Video Sharing Platforms (with S. Chakraborty, S. Basu and S. Ray), European Journal of Operational Research, Forthcoming. Decision-making under Risk: Evidence from the Hindi Movie Industry (with S.Ghosh, A. Paul and S. Basu). Journal of Operations and Strategic Planning, 1(1), 15-33. Efficient preprocessing methods for tabu search: an application on asymmetric travelling salesman problem (with S. Basu and P.S. Ghosh). INFOR: Information Systems and Operational Research, 55(2): 134-158. Mathematics of management or management of mathematics: (with S. Basu), In: Management Education in India: Perspectives and Practices, Thakur, M and Babu, R.R. (Eds.) Springer Pricing cloud services - The impact of broadband quality (with S. Basu and S. Chakraborty), Omega - The International Journal of Management Science, Vol. 50, 96-114 Metaheuristic applications on discrete facility location problems: A survey (with S. Basu and P.S. Ghosh), Opsearch, Vol. 52, No. 3, 530-561 Pricing infrastructure-as-a-Service for online two-sided platform providers (with S. Chakraborty and S. Basu), Journal of Revenue and Pricing Management, Vol. 13, 199-223. Speeding up the estimation of the expected value of maximum flows through reliable networks (with D. Ghosh), IEEE Transactions on Reliability, Vol. 62, No. 1, 105 - 115. An empirical investigation into randomly generated Euclidean symmetric traveling salesman problems (with D. Ghosh), Indore Management Journal, Vol. 3, No. 2, 59 - 71. Estimation methods in evaluation and design of reliable networks: applications and scope, Calcutta Statistical Association Bulletin, Vol. 62, No. 245 - 246, 109 - 128.
Conferences: 
XIII Balkan Conference on Operations Research, Belgrade, (Serbia, 2018): Calculating the Optimal Release Time for Movies on Video-on-Demand Websites, XIII Balkan Conference on Operations Research, Belgrade, (Serbia, 2018): Models and Solution Methods for Finite Horizon Reliable Facility Location Problem Informs 2012 Annual Meeting, Phoenix, Arizona, (USA; 2012) Designing pricing policies for cloud service providers 25th European Conference on Operational Research (Euro 2012), Vilnius, (Lithuania; 2012): Revenue Management in Sequential Distribution: An Application to the Hindi Movie Industry International Conference on Operations Research (OR 2011), University of Zurich, (Zurich, Switzerland; 2011): Computing the probability mass function of the maximum flow through a reliable network 43rd Annual Convention of Operational Research Society of India, Thiagrajar College of Engineering (Madurai, India; 2010): Computing the Probability Mass Function of the Maximum Flow in a Reliable Network. XIV Annual International Conference of the Society of Operations Management, National Institute of Industrial Engineering (Mumbai, India; 2010): An Investigation into Randomly Generated Euclidean Symmetric Traveling Salesman Problem. 24th Annual Conference of the Belgian Operational Research Society, HEC Management School, University of Li´ege, (Li´ege, Belgium 2010): Design of Reliable Networks. 3rd IIMA Doctoral Colloquium, Indian Institute of Management Ahmedabad (Ahmedabad, India; 2010):Incorporating Downside Risks in the Design of Reliable Networks. This paper was adjudged one of the best research papers of the colloquium. 9th International Consortium of Students in Management Research COSMAR - 2009, Indian Institute of Science (Bangalore, India; 2009): Speeding up the estimation of expected maximum flows through reliable networks. XXIII European Conference on Operational Research, Universit¨at Siegen (Bonn, Germany; 2009): Fast estimation of expected maximum flows through reliable networks. 2nd IIMA Doctoral Colloquium, Indian Institute of Management Ahmedabad (Ahmedabad, India; 2009): Risk measures in network design. XII Annual International Conference of the Society of Operations Management, Indian Institute of Technology Kanpur (Kanpur, India; 2008): Risk measures in network design.
Books/Book Chapters: 
Managing Customers in Online Two-Sided Platforms: A Case of App-Cabs in an Emerging Economy (with S. Mishra), in Services Marketing Issues in Emerging Economies, Springer Nature (Forthcoming)
Research Interests: 
Optimization for BIG DATA (Large Scale Optimization) Stochastic Optimization Facility Location Problems Network Flow Algorithms; Network Design and Performance Evaluation; Reliable/Performable Networks; Metaheuristics in Combinatorial Optimization; Multi–objective Optimization