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 level. Dive into details by clicking on the dots.
Grants
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RAPIDS2: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence
Agrawal, A., Choudhary, A. N. & Liao, W.
9/23/20 → 9/22/25
Project: Research project
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ANL joint appointment funding-Alok Choudhary-data libraries
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
10/1/19 → 8/31/21
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
Agrawal, A., Choudhary, A. N. & Liao, W.
9/1/18 → 8/31/21
Project: Research project
Research Output
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Author Correction: Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning (Nature Communications, (2019), 10, 1, (5316), 10.1038/s41467-019-13297-w)
Jha, D., Choudhary, K., Tavazza, F., Liao, W. K., Choudhary, A., Campbell, C. & Agrawal, A., Dec 1 2020, In: Nature communications. 11, 1, 3643.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
IBM-Northwestern@Trecvid 2014: Surveillance event detection
Cheng, Y., Brown, L., Fan, Q., Liu, J., Feris, R., Choudhary, A. & Pankanti, S., 2020.Research output: Contribution to conference › Paper › peer-review
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IBM-Northwestern@Trecvid 2014: Surveillance event detection(SED)
Cheng, Y., Liu, J., Brown, L., Fan, Q., Feris, R., Choudhary, A. & Pankanti, S., 2020.Research output: Contribution to conference › Paper › peer-review
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Improving MPI Collective I/O for High Volume Non-Contiguous Requests with Intra-Node Aggregation
Kang, Q., Lee, S., Hou, K., Ross, R., Agrawal, A., Choudhary, A. & Liao, W. K., Nov 1 2020, In: IEEE Transactions on Parallel and Distributed Systems. 31, 11, p. 2682-2695 14 p., 9109678.Research output: Contribution to journal › Article › peer-review
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Learning to Predict Crystal Plasticity at the Nanoscale: Deep Residual Networks and Size Effects in Uniaxial Compression Discrete Dislocation Simulations
Yang, Z., Papanikolaou, S., Reid, A. C. E., Liao, W. K., Choudhary, A. N., Campbell, C. & Agrawal, A., Dec 1 2020, In: Scientific reports. 10, 1, 8262.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations