SELC: Sequential Elimination of Level Combinations by Means of Modified Genetic Algorithms. - Abhyuday Mandal; C. F. Jeff Wu; Kjell Johnson (Technometrics, 2006)

Identifying Promising Compounds in Drug Discovery: Genetic Algorithms and Some New Statistical Techniques. - Abhyuday Mandal; Kjell Johnson; C. F. Jeff Wu; Dirk Bornemeier (J. Chem. Inf. Model., 2007)

Estimation of Process Parameters to Determine the Optimum Diagnosis Interval for Control of Defective Items. - Tirthankar Dasgupta; Abhyuday Mandal (Technometrics, 2008)

Multi-objective optimal experimental designs for event-related fMRI studies. - Ming-Hung Kao; Abhyuday Mandal; Nicole A. Lazar; John Stufken (NeuroImage, 2009)

D-optimal Factorial Designs under Generalized Linear Models. - Jie Yang 058; Abhyuday Mandal (Commun. Stat. Simul. Comput., 2015)

d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response. - Joshua Lukemire; Abhyuday Mandal; Weng Kee Wong (Technometrics, 2019)

LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model. - Cheng Meng; Rui Xie 002; Abhyuday Mandal; Xinlian Zhang; Wenxuan Zhong; Ping Ma 001 (J. Comput. Graph. Stat., 2021)

EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors. - Qian Xiao 003; Abhyuday Mandal; C. Devon Lin; Xinwei Deng (SIAM/ASA J. Uncertain. Quantification, 2021)

ForLion: a new algorithm for D-optimal designs under general parametric statistical models with mixed factors. - Yifei Huang; Keren Li; Abhyuday Mandal; Jie Yang (Stat. Comput., 2024)