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Pursuant to completion of Ph.D.in Statistics from University of Connecticut in 2012, Bhargab Chattopadhyay has worked as

• 2019- Present: Indian Institute of Management, Visakhapatnam, Assistant Professor
• 2016-2018: Indian Institute of Information Technology Vadodara, Assistant Professor
• 2012-2017 : Department of Mathematical Sciences, University of Texas at Dallas (One-year leave from 2016-2017), Assistant Professor
• 2017-2018: University of Texas Dallas, Adjunct Faculty
• Autumn, 2016: Dhirubhai Ambani Institute of Information and Communication Technology, Adjunct Faculty

He has taught several courses on Statistics and Data Analytics at undergraduate and post graduate levels at University of Connecticut, University of Texas at Dallas, Indian Institute of Information Technology Vadodara.

Ph.D. Student Advising:

• Francis Bilson Darku: Defense Year - 2018, Department of Mathematical Sciences, University of Texas at Dallas. (Served as Major Advisor). Dr. Darku joined as a faculty member at University of Notre Dame.
• Yuan Zhang: Defense Year - 2016, Department of Mathematical Sciences, University of Texas at Dallas. (Committee Member).
• Cesar Acosta Mejia: Defense Year - 2016, Department of Mathematical Sciences, University of Texas at Dallas. (Committee Member)

Master's Student Advising:

• Jayant Mahawar (Defense Year: 2019, Indian Institute of Information Technology Vadodara) (Co-Advisor).
• Madhuri Mahawar (Defense Year: 2019, Indian Institute of Information Technology Vadodara) (Co-Advisor).
• Cesar Acosta Mejia (Defense Year: 2013, Department of Mathematical Sciences, University of Texas at Dallas) (Committee Member).

Recent Refereed Publications

• Baron, M,. Ye, S. and Chattopadhyay, B: Limited Fluctuation Credibility Approach With Uncertain Priors. Accepted inVariance.
• Chattopadhyay, B. (2020): Accuracy in Insurance Billing Error Estimation Using Auxiliary In- formation.South African Statistical Journal, 54, 153-162.
• Darku, F. B., Konietschke, F. and Chattopadhyay, B. (2020): Gini Index Estimation Within Pre- Specified Error Bound: Application to Indian Household Survey Data.Econometrics, 8, 26.
• SS, Vijayashekhar, Bhatt, J. S. and Chattopadhyay, B. (2020): Virtual Dimensionality of Hyper- spectral Data: Use of Multiple Hypothesis Testing For Controlling Type I Error.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 2974-2985.
• Kelley, K., Darku, F. B. and Chattopadhyay, B. (2019): Sequential Accuracy in Parameter Estimation for Estimation of the Population Correlation Coefficient. Psychological Methods, 24, 492-515.
• Chattopadhyay, B. and Mukhopadhyay, N. (2019): Constructions of New Classes of One- and Two- Sample Nonparametric Location Tests. Methodology and Computing in Applied Probability, 21, 1229-1249.

Media Article

• Chattopadhyay, B. and Mukherjee,C. (2020):What Good Data Visualisation Can Do for Democracy?The Science Wire, 17th December 2020.
  

Book Chapters

• Mukhopadhyay, N. and Chattopadhyay, B. Introducing Informal Inequality Measures (IIMs) Constructed from U- statistics of Degree Three or Higher in Analyzing Economic Disparity. Forthcoming in Gini Inequality Index: Methods and Applications. CRC Press. ISBN 9780367688356.
• Darku, F.B. and Chattopadhyay, B. Gini’s Mean Difference Based Minimum Risk Point Estimator of Mean. Forthcoming in Gini Inequality Index: Methods and Applications. CRC Press. ISBN 9780367688356.

Software

• mr.cv: For the sequential estimation of the coefficient of variation with minimum risk (Included in R Package: MBESS).
• mr.smd: For the sequential estimation of the standardized mean difference with minimum risk (Included in R Package: MBESS).

Working Papers

• Vijaya Sherry Chand, Tathagata Banerjee, and Chattopadhyay Bhargab. An Exploratory Study of the Role of Educational Incentives in Primary Education in Gujarat. IIMA Working Papers WP2008-09-01, Indian Institute of Management Ahmedabad, Research and Publication Department, 2008.
  

Recent Conference Proceedings

• SS, Vijayashekhar, Bhatt, J. S. and Chattopadhyay, B. (2019). A Statistical Approach to Improve Virtual Dimensionality of Hyperspectral Data. Accepted by IEEE International Geoscience and Remote Sensing Symposium 2019 organized by IEEE Geoscience and Remote Sensing Society.
  

• Program Director and taught 5 sessions of Online FDP on Analytics held between 17th to 21st Aug 2020.
• Taught 1 TEQIP session held between 11th to 13th January 2021.

• Served in different Institutes or Department level Committees.
• Associate Editor of Sequential Analysis.
• Served as referees of several journals in the fields of Statistics and Psychology.
• Served as reviewer of grant proposals submitted to Science and Engineering Research Board, India.
• Organized and chaired an invited paper session in Ordered Data Analysis, Models, and Health Research Methods: An International Conference In Honor Of H.N. Nagaraja For His 60th Birthday held in University of Texas at Dallas, Richardson, Texas, USA , March 7-9, 2014
• Organized and chaired an invited paper session in Fourth International Workshop in Sequential Methodologies held in University of Georgia, July 18-21, 2013.