Alok Choudhary
Affiliations: | Electrical and Computer Engineering | Northwestern University, Evanston, IL |
Area:
Computer ScienceGoogle:
"Alok Choudhary"Parents
Sign in to add mentorJanak H. Patel | grad student | 1989 | UIUC (Computer Science Tree) | |
(Parallel Architectures and Parallel Algorithms for Integrated Vision Systems) |
Children
Sign in to add traineeSachin 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 |