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Abhyuday Mandal

Blurred image of the arch used as background for stylistic purposes.
Undergraduate Coordinator

Work Experience

Research Interests:

Design of Experiments and Statistical Process Control

1. Chowdhury, S.; Lukemire , J. & Mandal, A. (2019), A-ComVar: A Flexible Extension of Common Variance Designs, submitted.

2. Kane, A. & Mandal, A. (2019), A new analysis strategy for designs with complex aliasingThe American Statistician, accepted. (Codes)

3. Lukemire , J.; Mandal, A. & Wong, W. K. (2019), d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs for Models with Mixed Factors and a Binary Response Technometrics, 26, 87-105.

4. Zhang, W., Mandal, A. & Stufken, J. (2017), Approximations of the information matrix for a panel mixed logit model.   Journal of Statistical Theory and Practice11, 269-295.

5. Yang, J.; Tong, L. & Mandal, A. (2017), D-optimal designs with ordered categorical dataStatistica Sinica, 27, 1879-1902.

6. Yang, J.; Mandal, A. & Majumdar, D. (2016), Optimal Designs for 2k Factorial Experiments with Binary ResponseStatistica Sinica, 26, 385-411.

7. Yang, J. & Mandal, A. (2015), D-Optimal Factorial Designs under Generalized Linear ModelsCommunications in Statistics44, 2264-2277.

8. Yang, J.; Mandal, A. & Majumdar, D. (2012), Optimal Designs for Two-level Factorial Experiments with Binary Response. Statistica Sinica, 22, 885-907.

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

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

11. 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.

Small Area Estimation

1. Goyal, S.; Datta, G. and Mandal, A. (2019), A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations, submitted.

2. Chakraborty, A.; Datta, G. and Mandal, A. (2019), Robust hierarchical Bayes small area estimation for nested error regression modelInternational Statistical Review, DOI: 10.1111/insr.12283.

3. Chakraborty, A.; Datta, G. and Mandal, A. (2016), A two-component normal mixture alternative to the Fay-Herriot modelJoint issue of Statistics in Transition new series and Survey Methodology Part II, 17, 67-90.

4. Datta, G. and Mandal, A. (2015), Small Area Estimation with Uncertain Random Effects, Journal of the American Statistical Association - Theory and Methods, 110, 1735-1744.

5. 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.

Functional Magnatic Resonance Imaging (fMRI)

1. Kao, M. H.; Majumdar, D.; Mandal, A & Stufken, J. (2013) Maximin and Maximin-Efficient Event-Related fMRI Designs under a Nonlinear ModelAnnals of Applied Statistics7, 1940-1959. (supplementary materials)

2. Kao, M. H.; Mandal, A & Stufken, J. (2012) Constrained Multi-objective Designs for Functional MRI Experiments via A Modified NSGA-II. Journal of the Royal Statistical Society: Series C (Applied Statistics), 61, 515-534. Matlab Codes

3. 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

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

5. Kao, M. H.; Mandal, A & Stufken, J. (2008), Optimal Design for Event-related Functional Magnetic Resonance Imaging Considering Both Individual Stimulus Effects and Pairwise ContrastsSpecial 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 ProcessesAnnals 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 codesR 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 TechniquesJournal 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 AlgorithmsTechnometrics, 48, 273-283. (slides)


1. Banik, P.; Mandal, A. & Rahaman, S. (2002), Markov Chain Analysis of Weekly Rainfall Data in Determining Drought-pronenessDiscrete 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. (scanned)

3. Jones, A.; Mandal, A. & Sharma, S. (2015), Protein based bioplastics and their antibacterial potentialJournal of Applied Polymer Science, 132, 41931.

4. Jones, A.; Mandal, A. & Sharma, S. (2017), Antibacterial and drug elution performance of thermo-plastic blends, Journal of Polymers and the Environment

5. Jones, A., Pant, J., Lee, E., Goudie, M., Gruzd, A., Mansfield, J., Mandal, A., Sharma, S. & Handa, H. (2018) Nitric oxide-releasing antibacterial albumin plastic for biomedical applications, Journal of Biomedical Materials Research106, 1535-1542.

6. Bhattacharjeea, N.; Ranjan, P.; Mandal, A. & Tollner, E. W. (2019), A history matching approach for calibrating hydrological modelsEnvironmental and Ecological Statistics, 26, 87-105.

7. Chakraborty, J.; Mandal, A. & Finkelman, R. B. (2019), Association between geogenic organic contaminants in groundwater from Carrizo-Wilcox aquifer and the incidence of renal diseases: a preliminary study in east Texas, submitted.

Book Chapter

1. Meng, C., Wang, Y., Zhang, X., Mandal, A. & Ma, P. (2016) Effective Statistical Methods for Big Data Analytics, in Handbook of Research on Applied Cybernetics and Systems Science, IGI Global.

2. Mandal, A.; Wong, W. K. & Yu, Y. (2014) Algorithmic Searches for Optimal Designs, in Handbooks on Modern Statistical Methods, Chapman & Hall/CRC.

3. Wang, K., Mandal, A., Ayton, E., Hunt, R., Zeller, A. & Sharma, S. (2015) Modification of protein rich algal-biomass to form bio-plastics and odor removal, to appear in "Modification of waste derived proteins products for high value applications", In: Waste-derived proteins: Transformation from environmental burden into value-added products, Ed. Dhillon, G.S., Elsevier publishers.

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.

Unpublished Research

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

2. Chakraborty, A.; Mandal, A.; & Johnson, K. (2013), In Search of Desirable Compounds.


Some contributions to Design Theory and Applications - A thesis presented to the academic faculty

Articles Featuring Abhyuday Mandal
Monday, May 1, 2023 - 1:25pm

The grant proposal titled “Equitable Statistics Education through Active Learning” led by team facilitators, Maduranga Dassanayake and…

Friday, December 16, 2022 - 10:18am

Lauren Rose Wilkes, a Foundation Fellow majoring in data science with a minor in Chinese language and literature, has been selected as a Marshall Scholar. Established in 1953, the Marshall Scholarship is a postgraduate scholarship for "intellectually…

Monday, January 28, 2019 - 9:59am

This award for excellence in teaching annually honors outstanding faculty in the Franklin College who have shown a sustained commitment to high quality instruction. Abhyuday is a very popular and successful instructor, as well as an outstanding mentor for…

Thursday, May 3, 2018 - 2:49pm

Abhyuday Mandal has been recognized for the second time for his superior teaching at UGA. He was one of the five finalists from the Franklin College for an Outstanding Undergraduate Teaching Award. He was recognized at a Faculty Recognition Banquet organized by…

Monday, March 5, 2018 - 4:32pm

The Department of Statistics congratulates Dan Hall, Abhyuday Mandal, Cheolwoo Park, and Wenxuan Zhong on their recent promotion to the rank of Full Professor and Pengsheng Ji on his promotion to the rank of Associate Professor with tenure. This is an…

Monday, June 29, 2015 - 10:19am

Congratulations to Abhyuday Mandal for receiving the 2015 Faculty division Outstanding Academic Advisor Award in the Franklin College of Arts and Sciences. He was presented with this honor for his advising skills, deep concern for his students, and going well…

Monday, March 30, 2015 - 9:07am

Abhyuday Mandal's research study with Suraj Sharma of the department of textiles, merchandising, and interiors was featured in an article for UGA Today! The study, "Protein-based bioplastics and their antibacterial potential," is available online at http://…

Friday, April 29, 2011 - 10:14am

The Department would like to congratulate Dr. Mandal on being a recipient of the 2011-2012 Sarah Moss Fellowship. Dr. Mandal will use his award in further pursuit of collaborative research at the University of Illinois at Chicago.

Friday, March 11, 2011 - 5:00pm

The department is pleased to announce the promotion of Xiangrong Yin to full professor, and the promotions of Abhyuday Mandal and Cheolwoo Park to associate professor with tenure. They have all been true assets to the department and we are confident that they…

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