• 2003 Citations
20052023
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Personal profile

Education/Academic qualification

Computer Science, minor in Computer Science, PhD, Iowa State University

Aug 2006Aug 2009

Computer Science and Engineering, BTech, Indian Institute of Technology Roorkee

Aug 2002May 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

Industrial applications
Artificial intelligence
Learning systems
Costs
Genes
Learning systems
Data storage equipment
Costs
Scalability
Software engineering
Natural sciences computing
Data storage equipment
Scalability
Statistics
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 proceedingConference 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 proceedingConference 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 journalReview 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 journalArticle

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 proceedingConference contribution

Supercomputers
Computer systems
Agglomeration