Scholars

Datta, Aniruddha

Professor

Positions:

Faculty Affiliate, Energy Institute, Texas A&M Engineering Experiment Station (TEES), Division of Research
Professor, Electrical and Computer Engineering, College of Engineering

UN Sustainable Development Goals:

Single Page Bio

Profile Summary

a-datta@tamu.edu

1 979 845 5917

Co-author Network

Map of Science

Co-investigator Network

Websites

Genomic Signal Processing Lab

UN Sustainable Development Goals:

overview

My research focuses on adaptive control, parametric robust control, and genomic signal processing and control.

education and training

M.S. in Applied Mathematics, University of Southern California - (Los Angeles, California, United States) 1991
Ph.D. in Electrical Engineering, University of Southern California - (Los Angeles, California, United States) 1991
M.S.E. in Electrical Engineering, Southern Illinois University Carbondale - (Carbondale, Illinois, United States) 1987
B.T. in Electrical Engineering, Indian Institute of Technology Kharagpur - (Kharagpur, India) 1985

selected publications

Academic Articles109

Lahiri, A., Zhou, L., He, P., & Datta, A. (2021). Detecting drought regulators using stochastic inference in Bayesian networks. PLOS ONE. 16(8), e0255486-e0255486.
Vundavilli, H., Tripathi, L. P., Datta, A., & Mizuguchi, K. (2021). Network modeling and inference of peroxisome proliferator-activated receptor pathway in high fat diet-linked obesity.. J Theor Biol. 519, 110647-110647.
Lahiri, A., Rastogi, K., Datta, A., & Septiningsih, E. M. (2021). Bayesian Network Analysis of Lysine Biosynthesis Pathway in Rice. Inventions. 6(2), 37-37.
Bittner, M. L., Lopes, R., Hua, J., Sima, C., Datta, A., & Wilson-Robles, H. (2021). Comprehensive live-cell imaging analysis of cryptotanshinone and synergistic drug-screening effects in various human and canine cancer cell lines.. PLoS One. 16(2), e0236074-e0236074.
Vundavilli, H., Datta, A., Sima, C., Hua, J., Lopes, R., & Bittner, M. (2021). Targeting oncogenic mutations in colorectal cancer using cryptotanshinone.. PLoS One. 16(2), e0247190-e0247190.

Books5

Datta, A. (2012). Adaptive Internal Model Control. Springer Science & Business Media.
Bhattacharyya, S. P., Datta, A., & Keel, L. H. (2009). Linear control theory: Structure, robustness, and optimization.
Silva, G. J., Datta, A., & Bhattacharyya, S. P. (2007). PID Controllers for Time-Delay Systems. Springer Science & Business Media.
Datta, A., Ho, M., & Bhattacharyya, S. P. (2000). Structure and Synthesis of PID Controllers. Springer London.
Ioannou, P., & Datta, A. (1991). Robust adaptive control. Design, analysis and robustness bounds.

Chapters1

Datta, A., Choudhary, A., Bittner, M. L., & Dougherty, E. R. (2007). Modeling and control in cancer genomics. Modeling and Control of Complex Systems. 339-366.

Conference Papers103

Lahiri, A., Venkatsubramani, P. S., & Datta, A. (2018). Bayesian Modeling of Plant Drought Resistance Pathway. Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB '18: 9th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 576-576.
Kawam, A., & Datta, A. (2018). Fast and efficient genotype encoding using sparse 2D bitmaps for database-driven genomics applications. 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). 2018-January, 74-78.
Goel, P., Datta, A., & Mannan, M. S. (2017). Application of big data analytics in process safety and risk management. 2017 IEEE International Conference on Big Data (Big Data), 2017 IEEE International Conference on Big Data (Big Data). 2018-January, 1143-1152.

SDG 7
Katiyar, A., Mohanty, A., Sima, C., Hua, J., Lopes, R., Datta, A., & Bittner, M. L. (2017). A Bayesian Approach to Determine the Composition of Heterogeneous Cancer Tissue. Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics, BCB '17: 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. 773-774.
Al Kawam, A., Alshawaqfeh, M., Cai, J., Serpedin, E., & Datta, A. (2017). Simulating Variance Heterogeneity in Quantitative Genome Wide Association Studies. Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics, BCB '17: 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. 762-763.