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
Fingerprint
Dive into the research topics where Alok Nidhi Choudhary is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
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
-
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
-
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
-
Alok Choudhary Subproject for CHiMaD
National Institute of Standards and Technology
1/1/19 → 12/31/23
Project: Research project
-
ANL joint appointment funding-Alok Choudhary-data libraries
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
10/1/19 → 8/31/22
Project: Research project
-
A case study on parallel HDF5 dataset concatenation for high energy physics data analysis
Lee, S., Hou, K. Y., Wang, K., Sehrish, S., Paterno, M., Kowalkowski, J., Koziol, Q., Ross, R. B., Agrawal, A., Choudhary, A. & Liao, W. K., May 2022, In: Parallel Computing. 110, 102877.Research output: Contribution to journal › Article › peer-review
-
BRNet: Branched Residual Network for Fast and Accurate Predictive Modeling of Materials Properties
Gupta, V., Liao, W. K., Choudhary, A. & Agrawal, A., 2022, Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022. Society for Industrial and Applied Mathematics Publications, p. 343-351 9 p. (Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Data-Driven Multi-Scale Modeling and Optimization for Elastic Properties of Cubic Microstructures
Hasan, M., Mao, Y., Choudhary, K., Tavazza, F., Choudhary, A., Agrawal, A. & Acar, P., Jun 2022, In: Integrating Materials and Manufacturing Innovation. 11, 2, p. 230-240 11 p.Research output: Contribution to journal › Article › peer-review
-
Improving scalability of parallel CNN training by adaptively adjusting parameter update frequency
Lee, S., Kang, Q., Al-Bahrani, R., Agrawal, A., Choudhary, A. & Liao, W. K., Jan 2022, In: Journal of Parallel and Distributed Computing. 159, p. 10-23 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Moving closer to experimental level materials property prediction using AI
Jha, D., Gupta, V., Liao, W. K., Choudhary, A. & Agrawal, A., Dec 2022, In: Scientific reports. 12, 1, 11953.Research output: Contribution to journal › Article › peer-review
Open Access