Alok Choudhary

Affiliations: 
Electrical and Computer Engineering Northwestern University, Evanston, IL 
Area:
Computer Science
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"Alok Choudhary"

Parents

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Janak H. Patel grad student 1989 UIUC (Computer Science Tree)
 (Parallel Architectures and Parallel Algorithms for Integrated Vision Systems)

Children

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Sachin S. More grad student 2000 Northwestern
Anshuman Nayak grad student 2001 Northwestern
Jayaprakash Pisharath grad student 2005 Northwestern
Joseph A. Zambreno grad student 2006 Northwestern
Kenin Coloma grad student 2007 Northwestern
Berkin Ozisikyilmaz grad student 2009 Northwestern
Abhishek Das grad student 2010 Northwestern
Arifa Nisar grad student 2010 Northwestern
Sanchit Misra grad student 2011 Northwestern
Prabhat Kumar grad student 2012 Northwestern
Kunpeng Zhang grad student 2013 Northwestern
Daniel Honbo grad student 2014 Northwestern
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Publications

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Jha D, Choudhary K, Tavazza F, et al. (2019) Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning. Nature Communications. 10: 5316
Paul A, Furmanchuk A, Liao WK, et al. (2019) Property Prediction of Organic Donor Molecules for Photovoltaic Applications Using Extremely Randomized Trees. Molecular Informatics
Son SW, Sehrish S, Liao W, et al. (2017) Reducing I/O variability using dynamic I/O path characterization in petascale storage systems The Journal of Supercomputing. 73: 2069-2097
Liao J, Gerofi B, Lien G, et al. (2017) A flexible I/O arbitration framework for netCDF-based big data processing workflows on high-end supercomputers Concurrency and Computation: Practice and Experience. 29: e4161
Xie Y, Chen Z, Palsetia D, et al. (2016) SILVERBACK+: scalable association mining via fast list intersection for columnar social data Knowledge and Information Systems. 1-29
Liu R, Kumar A, Chen Z, et al. (2015) A predictive machine learning approach for microstructure optimization and materials design. Scientific Reports. 5: 11551
Kim SJ, Zhang Y, Son SW, et al. (2015) IOPro: a parallel I/O profiling and visualization framework for high-performance storage systems Journal of Supercomputing. 71: 840-870
Zhang K, Xie Y, Yang Y, et al. (2014) Incorporating conditional random fields and active learning to improve sentiment identification. Neural Networks : the Official Journal of the International Neural Network Society. 58: 60-7
Meredig B, Agrawal A, Kirklin S, et al. (2014) Combinatorial screening for new materials in unconstrained composition space with machine learning Physical Review B - Condensed Matter and Materials Physics. 89
Chaudhry R, Das A, Premlatha MM, et al. (2013) Authors' response. The Indian Journal of Medical Research. 138: 274
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