Siuli Mukhopadhyay

Department of Mathematics, 112D

Indian Institute of Technology Bombay

Powai, Mumbai-400076

Email: siuli at math.iitb.ac.in

 

 

myphoto

 

*    WORK EXPERIENCE

 

Assistant Professor, Department of Mathematics, Indian Institute of Technology Bombay: October 2008 till present

 

Senior Lecturer, Department of Mathematics, Indian Institute of Technology Bombay: December 2007 till September 2008

 

Assistant Professor, Department of Biostatistics, Medical College of Georgia; Georgia’s Health Sciences University: September 2006 till November 2007

 

sumbul1a EDUCATION

 

PhD in Statistics: Department of Statistics, University of Florida 2006

 

Masters in Statistics: Department of Statistics, Calcutta University 2001

 

Bachelors in Statistics: Department of Statistics, St. Xavier’s College, Calcutta 1999

 

sumbul1a RESEARCH INTERESTS

 

Generalized Linear Models, Response Surface Methods, Dose Response Studies, Robust Parameter Designs, Variable Selection

 

image004.gifJOURNAL PUBLICATIONS

 

1.   I. Das, Mukhopadhyay, S. and Xu, H. (2012): Individualized Dosing for Multiple Ordered Groups of Patients. Journal of Statistical Theory and Practice (accepted)

 

2.   Mukhopadhyay, S., Das, I. and Das, K. (2012): Selection of a Stroke Risk Model Based on Transcranial Doppler Ultrasound Velocity. Journal of Applied Statistics.

http://www.tandfonline.com/eprint/KM3bDQCbMRuKkHycwmgm/full

 

3.   Khona, D.K., Rao, V.G., Motiwalla, M.J., Varma, S., Kashyap, A.R., Das, K., Shirolikar, S., Borde, L., Dharmadhikari, J.A., Dharmadhikari, A.K., Mukhopadhyay, S., Mathur, D. and D Souza, J.S (2012): Anomalies in the Motion Dynamics of Long Flagella Mutants of Chlamydomonas Reinhardtii. Journal of Biological Physics. DOI 10.1007/s10867-012-9282-8

 

4.   Mukhopadhyay, S., Khuri, A.I. (2012): Comparison of Designs for Generalized Linear Models under Model Misspecification. Statistical Methodology 9(3) pp. 285-304

 

5.   Mukhopadhyay, S., Chakraborty, D. (2011): A Computational Algorithm for Selecting Robust Designs in Safety and Quality Critical Processes. Sankhya B 73(1) pp. 105-122

 

6.   Khuri, A.I., Mukhopadhyay, S. (2010): Response Surface Methodology. Wiley Interdisciplinary Reviews: Computational Statistics 2(2) pp. 128-149

 

7.   Mukhopadhyay, S., George, V. and Xu, H. (2010): Variable Selection Method for Quantitative Trait Analysis based on Parallel Genetic Algorithm. Annals of Human Genetics 74(1) pp. 88-96(9)

 

8.   Mukhopadhyay, S. and Looney, S.W. (2009): Quantile Dispersion Graphs to Compare the Efficiencies of Cluster Randomized Designs. Journal of Applied Statistics 36(11) pp. 1293-1305

 

9.   Abreu, A., Loza, M.A., Elias, A., Mukhopadhyay, S., Looney, S. and Rueggeberg, F. (2009). Tensile Bond Strength of an Adhesive Resin Cement to Different Alloys having Various Surface Treatments. The Journal of Prosthetic Dentistry 101(2) pp. 107-118

 

10.    Mukhopadhyay, S. and Khuri, A.I. (2008): A New Graphical Approach for Comparing Response Surface Designs on the basis of the Mean Squared Error of Prediction Criterion. Statistics and Applications 6 (Nos.1 & 2), 293-324

 

11.    Mukhopadhyay, S. and Khuri, A.I. (2008): Optimization in a Multivariate Generalized Linear Model Situation. Computational Statistics and Data Analysis 52(10) pp. 4625-4634

 

12.    Mukhopadhyay, S. and Khuri, A.I. (2008): Comparison of Designs for Multivariate Generalized Linear Models. Journal of Statistical Planning and Inference 138(1) pp. 169-183

 

13.    Mukhopadhyay, S. and Khuri, A.I. (2007): Bias in Multivariate Generalized Linear Models. Calcutta Statistical Association Bulletin 59 pp. 87-105

 

14.    Abreu, A., Loza, M.A., Elias, A., Mukhopadhyay, S. and Rueggeberg, F. (2007): Effect of Metal Type and Surface Treatment on In Vitro Tensile Strength of Copings Cemented to Minimally Retentive Preparations. The Journal of Prosthetic Dentistry 98(3) pp. 199-207

 

*    CONFERENCE PROCEEDINGS

 

1.     I. Das and S. Mukhopadhyay (2012): Robust Designs for Multivariate Generalized Linear Models with Misspecification in the Linear Predictor: A Quantile Dispersion Graphs Approach. Proceedings of International Conference on Statistics in Science, Business and Engineering 2012, Langkawi, Malaysia, September 2012

 

2.     S. Bhatt, S. Mukhopadhyay, A. Mulla and D. Chakraborty (2012). Semidefinite Programming methods for Robust Parameter Design in Repeated Manufacturing Processes. Proceedings of International Conference on Statistics in Science, Business and Engineering 2012, Langkawi, Malaysia, September 2012

 

3.     Chakraborty, D., Mukhopadhyay, S. (2010): Robust Control Settings for Repeated Manufacturing Processes. Mediterranean Conference on Control and Automation, Morocco, June 2010

 

image004.gifBOOK CHAPTERS

 

1.     Khuri, A.I. and Mukhopadhyay, S. (2006): GLM Designs: The Dependence on Unknown Parameters Dilemma. In Response Surface Methodology and Related Topics (A.I. Khuri, ed) Chapter-9 pp. 203-223, World Scientific, Singapore

 

*    COURSES

 

Regression Analysis (SI 422)

 

Statistical Inference (SI 402)

 

Introduction to Probability Theory (SI 417)

 

Nonparametric Statistics (SI 534)

 

Data Analysis and Interpretation (IC 102)

 

*    CURRENT STUDENTS

 

BTech project students

 

1.  Vikram Agarwal - Effect of link misspecification on estimation in binary regression models

 

Masters project students

 

2.  Archit Bhasin, Sulekha Manchanda - A case study on osteoporosis

3.  Akansha Jain, Jalpa - Robust percentile estimation in dose response models

4.  Mohit Agarwal - Understanding Copulas

 

PhD students

 

1.  Ishapathik Das - Dose response studies

2.  Satya Prakash Singh - Topics in linear and generalized linear models