Grants per year
Personal profile
Education/Academic qualification
Computer Science, minor in Computer Science, PhD, Iowa State University
Aug 2006 → Aug 2009
Computer Science and Engineering, BTech, Indian Institute of Technology Roorkee
Aug 2002 → May 2006
Research interests
- Bioinformatics and Computational Biology
- Data Mining
- High Performance Computing
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.
- 2 Similar Profiles
Learning systems
Engineering & Materials Science
Statistical Significance
Mathematics
Data mining
Engineering & Materials Science
Pairwise
Mathematics
Clustering algorithms
Engineering & Materials Science
Parallel algorithms
Engineering & Materials Science
Neural networks
Engineering & Materials Science
Scalability
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants 2011 2023
Ankit Agrawal Subproject for CHiMaD
National Institute of Standards and Technology
1/1/19 → 12/31/23
Project: Research project
Industrial applications
Artificial intelligence
Learning systems
Costs
Genes
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
Learning systems
Data storage equipment
Costs
Scalability
Software engineering
BD Spokes: SPOKE: MIDWEST: Collaborative: Integrative Materials Design (IMaD): Leverage, Innovate, & Disseminate
Agrawal, A., Olson, G. B. & Voorhees, P. W.
2/15/17 → 1/31/21
Project: Research project
personnel
digital media
journalism
new media
assets
Scalable, In-situ Data Clustering Data Analysis for Extreme Scale Scientific Computing
Agrawal, A., Choudhary, A. N. & Liao, W.
8/1/15 → 7/31/20
Project: Research project
Natural sciences computing
Data storage equipment
Scalability
Statistics
SHF:Medium:Collaborative Research: Scalable Algorithms for Spatio-temporal Data Analysis
Agrawal, A., Choudhary, A. N. & Liao, W.
6/1/14 → 5/31/19
Project: Research project
Supercomputers
Colliding beam accelerators
Telescopes
Data mining
Sustainable development
Research Output 2005 2019
Communication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training
Lee, S., Agrawal, A., Balaprakash, P., Choudhary, A. N. & Liao, W-K., Feb 8 2019, Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 47-56 10 p. 8638635. (Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Neural networks
Communication
Supercomputers
Synchronization
Costs
Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics
Yang, Z., Al-Bahrani, R., Reid, A. C. E., Papanikolaou, S., Kalidindi, S. R., Liao, W. K., Choudhary, A. & Agrawal, A., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852162. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Learning systems
Materials science
Neural networks
Availability
Deep learning
Deep materials informatics: Applications of deep learning in materials science
Agrawal, A. & Choudhary, A. N., Sep 1 2019, In : MRS Communications. 9, 3, p. 779-792 14 p.Research output: Contribution to journal › Review article
Open Access
Materials science
Railroad cars
Availability
Deep learning
8
Citations
(Scopus)
Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches
Yang, Z., Yabansu, Y. C., Jha, D., Liao, W-K., Choudhary, A. N., Kalidindi, S. R. & Agrawal, A., Mar 1 2019, In : Acta Materialia. 166, p. 335-345 11 p.Research output: Contribution to journal › Article
Elastic deformation
Composite materials
Microstructure
Materials science
Learning systems
Integration of burst buffer in high-level parallel I/O library for exa-scale computing era
Hou, K., Al-Bahrani, R., Rangel, E., Agrawal, A., Latham, R., Ross, R., Choudhary, A. N. & Liao, W-K., Feb 8 2019, Proceedings of PDSW-DISCS 2018: 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 1-12 12 p. 8638428. (Proceedings of PDSW-DISCS 2018: 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Supercomputers
Computer systems
Agglomeration