Grants per year
Personal profile
Research Interests
Professor Alok Choudhary's research over the last decades focused on big data science, supercomputing, scalable data mining, Machine Learning, AI and their applications in sciences (e.g. climate understanding, astrophysics, designing materials etc.), medicine (e.g., understanding diseases causes, outcome predictions, drug design etc.) and business applications (e.g., business intelligence, marketing, advertising).
Education/Academic qualification
Computer Engineering (ECE Department), PhD, University of Illinois at Urbana-Champaign
… → 1989
Computer Engineering (ECE Department), MS, University of Massachusetts
… → 1986
Electrical and Electronics Engineering, BE, Birla Institute of Technology and Science Pilani
… → 1982
Research interests
- Computer architecture
- Data intensive computing
- High-performance I/O systems and software
- High-performance computing
- Materials and Medical Informatics
- Scalable data mining
- Social Media
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collaborative Research: AI-Driven Multi-Scale Design of Materials under Processing Constraints
Agrawal, A. & Choudhary, A. N.
9/1/21 → 8/31/24
Project: Research project
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RAPIDS2: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence
Liao, W., Agrawal, A. & Choudhary, A. N.
9/23/20 → 9/22/25
Project: Research project
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High-performance I/O Research, Development, and Deployment for DataLib
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
10/1/19 → 9/30/23
Project: Research project
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Alok Choudhary Subproject for CHiMaD
National Institute of Standards and Technology
1/1/19 → 12/31/23
Project: Research project
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PROTEUS: Machine Learning Driven Resilience for Extreme-scale Systems
Choudhary, A. N., Agrawal, A. & Liao, W.
9/1/18 → 8/31/22
Project: Research project
Research Output
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Enabling deeper learning on big data for materials informatics applications
Jha, D., Gupta, V., Ward, L., Yang, Z., Wolverton, C., Foster, I., Liao, W. K., Choudhary, A. & Agrawal, A., Dec 2021, In: Scientific reports. 11, 1, 4244.Research output: Contribution to journal › Article › peer-review
Open Access -
Enhancing phase mapping for high-throughput X-ray diffraction experiments using fuzzy clustering
Jha, D., Narayanachari, K. V. L. V., Zhang, R., Keane, D. T., Liao, W. K., Choudhary, A., Chung, Y. W., Bedzyk, M. J. & Agrawal, A., 2021, ICPRAM 2021 - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods. De Marsico, M., di Baja, G. S. & Fred, A. (eds.). SciTePress, p. 507-514 8 p. (ICPRAM 2021 - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Harnessing Psycho-lingual and Crowd-Sourced Dictionaries for Predicting Taboos in Written Emotional Disclosure in Anonymous Confession Boards
Paul, A., Liao, W. K., Choudhary, A. & Agrawal, A., Sep 2021, In: Journal of Healthcare Informatics Research. 5, 3, p. 319-341 23 p.Research output: Contribution to journal › Article › peer-review
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Heterogeneous Feature Fusion Based Machine Learning on Shallow-Wide and Heterogeneous-Sparse Industrial Datasets
Yang, Z., Watari, T., Ichigozaki, D., Mitsutoshi, A., Takahashi, H., Suga, Y., Liao, W. K., Choudhary, A. & Agrawal, A., 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 566-577 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12664 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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SIGRNN: Synthetic minority instances generation in imbalanced datasets using a recurrent neural network
Al-Bahrani, R., Jha, D., Kang, Q., Lee, S., Yang, Z., Liao, W. K., Agrawal, A. & Choudhary, A., 2021, ICPRAM 2021 - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods. De Marsico, M., di Baja, G. S. & Fred, A. (eds.). SciTePress, p. 349-356 8 p. (ICPRAM 2021 - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution