• 1234 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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Statistical Significance Mathematics
Data mining Engineering & Materials Science
Pairwise Mathematics
Learning systems Engineering & Materials Science
Sequence Alignment Medicine & Life Sciences
Clustering algorithms Engineering & Materials Science
Parallel algorithms Engineering & Materials Science
Social Media Medicine & Life Sciences

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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
Polymers
Metals
Flexible electronics
Polymer matrix composites
Industry

Research Output 2005 2018

#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

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
Supervised learning
Alloy steel
Data mining
Fatigue of materials
Steel

Building halo merger trees from the Q continuum simulation

Rangel, E., Frontiere, N., Habib, S., Heitmann, K., Liao, W-K., Agrawal, A. & Choudhary, A. N., Feb 7 2018, Proceedings - 24th IEEE International Conference on High Performance Computing, HiPC 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-December. p. 398-407 10 p.

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

Mergers
Merging
Substructure
Continuum
Galaxies

Data-driven prediction of the high-dimensional thermal history in directed energy deposition processes via recurrent neural networks

Mozaffar, M., Paul, A., Al-Bahrani, R., Wolff, S., Choudhary, A. N., Agrawal, A., Ehmann, K. & Cao, J., Oct 1 2018, In : Manufacturing Letters. 18, p. 35-39 5 p.

Research output: Contribution to journalArticle

Recurrent neural networks
3D printers
Geometry
Process control
Physics