• 1369 Citations
20052021
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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

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Grants 2011 2021

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

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

Microstructure optimization with constrained design objectives using machine learning-based feedback-aware data-generation

Paul, A., Acar, P., Liao, W-K., Choudhary, A. N., Sundararaghavan, V. & Agrawal, A., Apr 1 2019, In : Computational Materials Science. 160, p. 334-351 18 p.

Research output: Contribution to journalArticle

machine learning
Learning systems
Microstructure
Machine Learning
Feedback

#Alzheimer’s and dementia

Danilovich, M. K., Tsay, J., Al-Bahrani, R., Choudhary, A. N. & Agrawal, A., Jan 1 2018, In : Topics in Geriatric Rehabilitation. 34, 1, p. 48-53 6 p.

Research output: Contribution to journalArticle

Alzheimer Disease
Social Support
Memory Disorders
Social Work
Caregivers
2 Citations

A deep adversarial learning methodology for designing microstructural material systems

Li, X., Yang, Z., Catherine Brinson, L., Choudhary, A. N., Agrawal, A. & Chen, W., Jan 1 2018, 44th Design Automation Conference. American Society of Mechanical Engineers (ASME), Vol. 2B-2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Microstructure
Material Design
Methodology
Information Loss
Latent Variables
Fatigue Strength
Alloy steel
Data mining
Steel
Data Mining