Abhyuday Mandal Department of Statistics University of Georgia Athens, GA 30602-1952 Email : amandal@stat.uga.edu

Education:

Ph. D. in Applied Statistics, Georgia Institute of Technology, Atlanta, 2005.

M. A. in Statistics, University of Michigan, Ann Arbor, 2002.

M. Stat. in Mathematical Statistics and Probability, Indian Statistical Institute, Calcutta, India, 2001.

B. Stat. in Statistics, Indian Statistical Institute, Calcutta, India, 1999.

Experience:

Associate Professor, University of Georgia, Athens, August 2011 – present.

Assistant Professor, University of Georgia, Athens, August 2005 – August 2011.

Graduate Research Assistant, Georgia Institute of Technology, Atlanta, August 2003 – July 2005

Graduate Student Instructor/Research Assistant, University of Michigan, Ann Arbor, Sept 2001- July 2003

Fellowship Student, Pfizer Global Research and Development, Ann Arbor, May 2002- April 2003

Student Analyst, J. N. Center for Advanced Scientific Research, Bangalore, India, June 1999 – August 1999

Visiting Student Research Scientist, Tata Institute of Fundamental Research, Mumbai, India, Nov 1998 – Dec 1998

Research:

My research interests are in design of experiments, applied statistics, optimization and genetic algorithms. Some of my research works are given below.

Design of Experiments and Statistical Process Control

1. Yang, J.; Mandal, A. & Majumdar, D. (2011), Optimal designs for 2^k factorial experiments with binary response. Submitted.

2. Yang, J.; Mandal, A. & Majumdar, D. (2011), Optimal designs for two-level factorial experiments with binary response. Statistica Sinica, to appear.

3. Dasgupta, T. & Mandal, A. (2008), Estimation of Process Parameters to Determine the Optimum Diagnosis Interval for Control of Defective Items, Technometrics,50, 167-181.

4. Mandal, A. & Mukerjee, R. (2005), Design Efficiency under Model Uncertainty for Nonregular Fractions of General Factorials, Statistica Sinica, 15, 697-707.

5. Mandal, A. (2005), A Friendly Approach to Studying Aliasing Relations of Mixed Factorials in the Form of Product Arrays, Stat. Prob. Letters, 75, 203-210.

Functional Magnatic Resonance Imaging (fMRI)

1. Kao, M. H.; Majumdar, D.; Mandal, A & Stufken, J. (2011) Robust event-related fMRI designs under a nonlinear model. Submitted.

2. Bargo, A.; Mandal, A.; Seymour, L.; McDowell, J.; & Lazar, A. (2011), Social network models for identifying active brain regions from fMRI data. Submitted, under revision.

3. Kao, M. H.; Mandal, A & Stufken, J. (2011) Constrained Multi-objective Designs for Functional MRI Experiments via A Modified NSGA-II. Journal of the Royal Statistical Society: Series C (Applied Statistics), to appear. Matlab Codes

4. Kao, M. H.; Mandal, A & Stufken, J. (2009), Efficient Designs for Event-Related Functional Magnetic Resonance Imaging with Multiple Scanning Sessions, Communications in Statistics - Theory and Methods: Celebrating 50 Years in Statistics Honoring Professor Shelley Zacks, 38, 3170-3182. Matlab Codes

5. Kao, M. H.; Mandal, A; Lazar, N; & Stufken, J. (2009), Multi-objective Optimal Experimental Designs for Event-Related fMRI Studies, NeuroImage, 44, 849–856. Technical Report Matlab Codes

6. Kao, M. H.; Mandal, A & Stufken, J. (2008), Optimal Design for Event-related Functional Magnetic Resonance Imaging Considering Both Individual Stimulus Effects and Pairwise Contrasts, Special Volume of Statistics and Applications in Honour of Professor Aloke Dey, 6, 225-241.

Drug Discovery

1. Mandal, A.; Ranjan, P; & Wu, C. F. J. (2009), G-SELC: Optimization by Sequential Elimination of Level Combinations using Genetic Algorithms and Gaussian Processes, Annals of Applied Statistics, 3, 398-421.

2. Johnson, K; Mandal, A; & Ding, T. (2008), Software for Implementing the Sequential Elimination of Level Combinations Algorithm, Journal of Statistical Software, 25, 6, 1-13. Matlab codes, SAS codes, R codes, Initial Design, Forbidden Array.

3. Mandal, A; Johnson, K; Wu, C. F. J.; & Bornemeier, D. (2007), Identifying Promising Compounds in Drug Discovery: Genetic Algorithms and Some New Statistical Techniques, Journal of Chemical Information and Modeling, 47, 981-988. DDN News

4. Mandal, A.; Wu, C.F.J. & Johnson, K. (2006), SELC : Sequential Elimination of Level Combinations by means of Modified Genetic Algorithms, Technometrics, 48, 273-283. (slides)

Small Area Estimation

1. Datta, G.; Hall, P.; & Mandal, A. (2011), Model selection by testing for the presence of small-area effects in area-level data. (Supplementary materials) Journal of the American Statistical Association - Theory and Methods, 2011, 362-374.

Misc.

1. Banik, P.; Mandal, A. & Rahaman, S. (2002), Markov Chain Analysis of Weekly Rainfall Data in Determining Drought-proneness, Discrete Dynamics in Nature and Society, 7, 231-239.

2. Mandal, A & Sengupta, D.(2000), Fatal accidents in Indian Coal Mines, Calcutta Statistical Association Bulletin, 50, 95-120.

Book Review

1. Mandal, A. (2008), Matrix Algebra: Theory, Computations, and Applications in Statistics by James E. Gentle, Journal of the American Statistical Association, 103, 1716-1717.

CV

Thesis

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