Tirthankar Dasgupta

Tirthankar Dasgupta

Assistant Professor of Statistics

Research Interests

  • Design and Analysis of Experiments
  • Engineering and Industrial Statistics
  • Application of Statistics in Nanotechnology
  • Quality Engineering and Quality Management

Education

  • Ph.D. in Industrial Engineering, Georgia Institute of Technology, August 2007.
  • M.Tech. in Quality, Reliability and Operations Research, Indian Statistical Institute, July 1993.
  • M.Stat. in Applied Statistics, Indian Statistical Institute, July 1991.
  • B. Sc. in Statistics, Calcutta University, July 1989.

Experience

  • January 2008 -- now, Assistant Professor of Statistics, Harvard University
  • August 2007 -- December 2007, Visiting Researcher, School of Industrial and Systems Engineering, Georgia Institute of Technology
  • August 2003 -- July 2007, Research and Teaching Assistant, School of Industrial and Systems Engineering, Georgia Institute of Technology
  • January 1995 -- July 2003, Technical Officer, Statistical Quality Control and Operations Research Division, Indian Statistical Institute
  • August 1993 -- December 1994, Fellow of Specialist Development Program, Statistical Quality Control and Operations Research Division, Indian Statistical Institute

Sample Publications

  • Tirthankar Dasgupta, Christopher Ma, V. Roshan Joseph, Z. L. Wang and C. F. Jeff Wu (2008). Statistical Modeling and Analysis for Robust Synthesis of Nanostructures. J. Amer. Statist. Assoc., in press.
  • Tirthankar Dasgupta and C. F. Jeff Wu (2006). Robust Parameter Design with Feedback Control. Technometrics , 48, 349-360 .
  • Tirthankar Dasgupta and Abhyuday Mandal (2008). Estimation of Process Parameters to Determine the Optimum Diagnosis Interval for Control of Defective Items. Technometrics, in press.
  • Tirthankar Dasgupta (2003). An Economic Inspection Interval for Control of Defective Items in a Hot Rolling Mill. Journal of Applied Statistics, 30, 273-282.
  • Tirthankar Dasgupta (2003). Using the Six-Sigma Metrics to Measure and Improve the Performance of a Supply Chain Total Quality Management, 12, 649-655.