Grants per year
Personal profile
Research Interests
Data Mining, High Performance Computing, Materials Informatics, Healthcare Informatics, Social Media Analytics.
Education/Academic qualification
Computer Science, PhD, Iowa State University
… → 2009
Computer Science and Engineering, BTech, Indian Institute of Technology Roorkee
… → 2006
Fingerprint
Dive into the research topics where Ankit Agrawal is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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EAGER: XAISE: Explainable Artificial Intelligence for Science and Engineering
Choudhary, A. N. (PD/PI), Agrawal, A. (Co-PD/PI) & Liao, W.-K. (Co-PD/PI)
10/1/23 → 9/30/25
Project: Research project
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Targeting abnormal alveolar immune activation and failed epithelial repair in COVID-19
Budinger, G. S. (PD/PI), Budinger, G. S. (PD/PI), Misharin, A. (PD/PI), Misharin, A. (PD/PI), Abdala-Valencia, H. (Co-Investigator), Abdala-Valencia, H. (Co-Investigator), Agrawal, A. (Co-Investigator), Braun, R. I. (Co-Investigator), Braun, R. I. (Co-Investigator), Casalino Matsuda, M. S. (Co-Investigator), Casalino Matsuda, M. S. (Co-Investigator), Horvath, C. M. (Co-Investigator), Horvath, C. M. (Co-Investigator), Lomasney, J. W. (Co-Investigator), Lomasney, J. W. (Co-Investigator), Prakriya, M. (Co-Investigator), Prakriya, M. (Co-Investigator), Wunderink, R. G. (Co-Investigator), Wunderink, R. G. (Co-Investigator), Yamashita, M. (Co-Investigator), Yamashita, M. (Co-Investigator), Casalino Matsuda, M. S. (Other) & Casalino Matsuda, M. S. (Other)
National Heart, Lung, and Blood Institute
4/1/22 → 3/31/26
Project: Research project
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Collaborative Research: AI-Driven Multi-Scale Design of Materials under Processing Constraints
Agrawal, A. (PD/PI), Agrawal, A. (PD/PI), Agrawal, A. (PD/PI), Choudhary, A. N. (Co-PD/PI), Choudhary, A. N. (Co-PD/PI) & Choudhary, A. N. (Co-PD/PI)
9/1/21 → 8/31/25
Project: Research project
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RAPIDS2: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence
Liao, W.-K. (PD/PI), Liao, W.-K. (PD/PI), Agrawal, A. (Co-PD/PI), Agrawal, A. (Co-PD/PI), Choudhary, A. N. (Co-PD/PI) & Choudhary, A. N. (Co-PD/PI)
9/23/20 → 9/22/25
Project: Research project
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PROTEUS: Machine Learning Driven Resilience for Extreme-scale Systems
Choudhary, A. N. (PD/PI), Agrawal, A. (Co-Investigator) & Liao, W.-K. (Co-Investigator)
9/1/18 → 8/31/23
Project: Research project
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JARVIS-Leaderboard: a large scale benchmark of materials design methods
Choudhary, K., Wines, D., Li, K., Garrity, K. F., Gupta, V., Romero, A. H., Krogel, J. T., Saritas, K., Fuhr, A., Ganesh, P., Kent, P. R. C., Yan, K., Lin, Y., Ji, S., Blaiszik, B., Reiser, P., Friederich, P., Agrawal, A., Tiwary, P. & Beyerle, E. & 17 others, , Dec 2024, In: npj Computational Materials. 10, 1, 93.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
Machine Learning-Enabled Image Classification for Automated Electron Microscopy
Day, A. L., Wahl, C. B., Gupta, V., Dos Reis, R., Liao, W. K., Mirkin, C. A., Dravid, V. P., Choudhary, A. & Agrawal, A., Jun 1 2024, In: Microscopy and Microanalysis. 30, 3, p. 456-465 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks
Gupta, V., Li, Y., Peltekian, A., Kilic, M. N. T., Liao, W. K., Choudhary, A. & Agrawal, A., Dec 2024, In: Journal of Cheminformatics. 16, 1, 17.Research output: Contribution to journal › Article › peer-review
Open Access -
Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets
Gupta, V., Choudhary, K., DeCost, B., Tavazza, F., Campbell, C., Liao, W. K., Choudhary, A. & Agrawal, A., Dec 2024, In: npj Computational Materials. 10, 1, 1.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows
Lee, C. S., Hewes, V., Cerati, G., Kowalkowski, J., Aurisano, A., Agrawal, A., Choudhary, A. & Liao, W. K., 2023, Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023. Simmhan, Y., Altintas, I., Varbanescu, A.-L., Balaji, P., Prasad, A. S. & Carnevale, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 71-81 11 p. (Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Datasets
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ALIGNN TL Models
Gupta, V. (Creator), Choudhary, K. (Creator), DeCost, B. (Creator), Tavazza, F. (Creator), Campbell, C. (Creator), Liao, W.-K. (Creator), Choudhary, A. (Creator) & Agrawal, A. (Creator), ZENODO, 2022
DOI: 10.5281/zenodo.6816246, https://zenodo.org/record/6816246
Dataset
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Dataset for Machine-learning-accelerated high-throughput materials screening: Discovery of novel quaternary Heusler compounds
Kim, K. (Creator), Ward, L. (Creator), He, J. (Creator), Krishna, A. (Creator), Agrawal, A. (Creator) & Wolverton, C. (Creator), Materials Data Facility, 2020
DOI: 10.18126/rovl-ingj, https://petreldata.net/mdf/detail/kim_ml_qh_v1.1
Dataset
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Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data
Gupta, V. (Contributor), Choudhary, K. (Contributor), Tavazza, F. (Contributor), Campbell, C. (Contributor), Liao, W.-K. (Contributor), Choudhary, A. (Contributor) & Agrawal, A. (Contributor), ZENODO, Sep 28 2021
DOI: 10.5281/zenodo.5533023, https://zenodo.org/record/5533023
Dataset