Faculty Directory
Ankit Agrawal

Research Associate Professor


2145 Sheridan Road
Tech L465
Evanston, IL 60208-3109

Email Ankit Agrawal


Ankit Agrawal's Homepage

Center for Ultra-scale Computing and Information Security (CUCIS)


Electrical Engineering and Computer Science


Ph.D. Computer Science, Iowa State University, Ames, IA

B.Tech. Computer Science and Engineering, Indian Institute of Technology, Roorkee, India

Research Interests

Data Mining, High Performance Computing, Materials Informatics, Healthcare Informatics, Social Media Analytics.

Selected Publications

    A. Agrawal and A. Choudhary, “Perspective: Materials informatics and big data: Realization of the ‘fourth paradigm’ of science in materials science,” APL Materials, vol. 4, no. 053208, pp. 1–10, 2016.

    R. Liu, A. Kumar, Z. Chen, A. Agrawal, V. Sundararaghavan, and A. Choudhary, “A Predictive Machine Learning Approach for Microstructure Optimization and Materials Design,” Nature Scientific Reports, vol. 5, no. 11551, 2015.

    A. Agrawal, P. D. Deshpande, A. Cecen, G. P. Basavarsu, A. N. Choudhary, and S. R. Kalidindi, “Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters,” Integrating Materials and Manufacturing Innovation, vol. 3, no. 8, pp. 1–19, 2014.

    B. Meredig, A. Agrawal, S. Kirklin, J. E. Saal, J. W. Doak, A. Thompson, K. Zhang, A. Choudhary, and C. Wolverton, “Combinatorial screening for new materials in unconstrained composition space with machine learning,” Physical Review B, vol. 89, no. 094104, pp. 1–7, 2014. BM and AA are co-first authors.

    J. S. Mathias, A. Agrawal, J. Feinglass, A. J. Cooper, D. W. Baker, and A. Choudhary, “Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record data,” Journal of the American Medical Informatics Association, vol. 20, pp. e118–e124, 2013. JSM and AA are co-first authors.

    M. Patwary, D. Palsetia, A. Agrawal, W.-keng Liao, F. Manne, and A. Choudhary, “Scalable Parallel OPTICS Data Clustering Using Graph Algorithmic Techniques,” in Proceedings of 25th International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing, SC’13), 2013, pp. 1–12. Article No. 49.

    M. Patwary, D. Palsetia, A. Agrawal, W.-keng Liao, F. Manne, and A. Choudhary, “A new scalable parallel DBSCAN algorithm using the disjoint-set data structure,” in ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2012, pp. 1–11. Article No. 62.

    A. Agrawal and X. Huang, “Pairwise Statistical Significance of Local Sequence Alignment Using Sequence-Specific and Position-Specific Substitution Matrices,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 1, pp. 194–205, 2011.

    A. Agrawal and X. Huang, “PSIBLAST_PairwiseStatSig: Reordering PSI-BLAST hits using pairwise statistical significance,” Bioinformatics, vol. 25, no. 8, pp. 1082–1083, 2009.