Ujjal Mukherjee

PhD Student
Supply Chain & Operations Department


  • Ph.D. in Business Administration Expected 2015
    Supply Chain and Operations Management, University of Minnesota

  • Masters in Statistics Expected 2015
    Statistics, College of Statistics , University of Minnesota

  • Masters of Business Administration 2002
    Xavier Labor Relations Institute, India

  • Bachelor of Engineering 1997
    Mechanical Engineering, Jadavpur University, India


  • Research: (Topical Interests) Management of Technology and Innovation, Supply Chain Analytics, Healthcare Management. (Methodological Interests) Big Data Analytics. Predictive Analytic Modeling, Machine Learning Methods, and Advanced Econometrics Teaching: Supply Chain and Operations Management, Supply Chain Analytics, Big Data Analytics in Operations Management, managing technologies in Supply Chains, Project Management and New Product Development

Ujjal Kumar Mukherjee is a Ph.D. candidate at the Carlson School of Management focusing on Supply Chain and Operations.  Prior to joining the Ph.D. program, Ujjal has substantial industry experience in international business development in Tata Motors, the largest automobile manufacturing company in India. He was posted in Spain from 2004-2005 looking after manufacturing of automobiles in Spain and in Morocco. Ujjal's executive level experience in managing operations, supply chain, product development and market development at a Global scale, spanning several geographies including East Asia, Europe, LATAM and North Africa, provides him the practical motivation significance to the problems he is interested in addressing in his research.

Selected Works

  • Mukherjee, U. K., and Sinha, K. K. “Predicting Failures of High Tech Innovations-in-Use: Application of Predictive Analytics to Big Data on Market Failures of Medical Devices”, with Kingshuk K. Sinha, University of Minnesota.
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  • Mukherjee, U. K., Sinha, S., Bosch, S., and Sinha, K. K. “Critical and Complex Technological Capability Development for Health Care Delivery: Multiyear Field Study of a Surgical (da Vinci) Robot in a Multispecialty Hospital,” published in Journal of Medical Devices [an American Society of Mechanical Engineers (ASME) journal] Vol. 8, No. 3, September 2014.
  • Mukherjee, U. K., Sinha, S., Bosch, S., and Sinha, K. K. “Enabling Health Care Delivery with high Tech Innovation: A Longitudinal Field Study of Robot-Assisted Surgery,”
  • Mukherjee, U. K., and Chatterjee, S. “Fast Algorithm for Computing Weighted Projection Quantiles, Quantile Regression and Data Depth for High-Dimensional Large Data Clouds,” Accepted for publication in the Proceedings of Workshop on Scalable Machine Learning: Theory and Applications, October 2014.
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  • Mukherjee, U. K., and Chatterjee, S. “A Fay-Herriot Type Approach to Better Prediction in Multi-indexed Response with Application to Arctic Sea-water Data Analysis,” published in Journal of Indian Society of Agricultural Statistics, Vol. 68, No. 2, 2014 (Special Issue on Statistical and Computational Methods for Massive Datasets) [Note: This paper was the outcome of a project in the course on Non-parametric Statistics in the School of Statistics.]
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  • Mukherjee, U. K., and Sinha, K. K. “Evaluating Judgment Bias in Detecting Failures of High tech Innovations-in-Use: Analysis of Big Data on Market Failures of Medical Devices.”
  • 7. Juneja, B. S.. Mukherjee, U. K., and Sinha, K. K. “The Effect of Social Disparity, Access and Affordability on Cardiac Healthcare Delivery: A Population-level Study using National Health and Nutrition Study (NHANES) Multi-year Database.”

Current Activities

Current Research

  • Qualified as a semi-finalist for the INFORMS Innovative Applications in Analytics Award Competition (in-progress).

Research Grants

  • Co-Principal Investigator on a research grant from Social Media and Business Analytic Collaborative (SOBACO), an inter-disciplinary initiative between the Carlson School of Management and the College of Science and Engineering, University of Minnesota, 2013-2014; Grant Amount = $38,000.

  • Dissertation Fellowship for the 2014-2015 academic year.

  • Juran Doctoral Research Fellowship Award in the amount of $10,000 for the 2013-2014 academic year.