Grants per year
Personal profile
Research Interests
Parallel and distributed file I/O and storage system design; data management for large-scale scientific applications; computational model design for large-scale applications on parallel and distributed environment; data mining algorithm design and their parallelization; software development for Parallel netCDF.
Education/Academic qualification
Computer and Information Science, PhD, Syracuse University
… → 1999
Applied Mathematics, BS, National Chung Hsing University
… → 1988
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
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EAGER: XAISE: Explainable Artificial Intelligence for Science and Engineering
Choudhary, A. N., Agrawal, A. & Liao, W.
10/1/23 → 9/30/25
Project: Research project
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RAPIDS2: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence
Liao, W., Liao, W., Agrawal, A., Agrawal, A., Choudhary, A. N. & Choudhary, A. N.
9/23/20 → 9/22/25
Project: Research project
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High-performance I/O Research, Development, and Deployment for DataLib
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
10/1/19 → 12/31/23
Project: Research project
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Renewal JA - Wei-Keng Liao
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
9/1/22 → 9/30/23
Project: Research project
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ANL joint appointment funding for Wei-Keng Liao
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
10/1/19 → 8/31/22
Project: Research project
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A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures
Mao, Y., Lin, H., Yu, C. X., Frye, R., Beckett, D., Anderson, K., Jacquemetton, L., Carter, F., Gao, Z., Liao, W. K., Choudhary, A. N., Ehmann, K. & Agrawal, A., Jan 2023, In: Journal of Intelligent Manufacturing. 34, 1, p. 315-329 15 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
An AI-driven microstructure optimization framework for elastic properties of titanium beyond cubic crystal systems
Mao, Y., Hasan, M., Paul, A., Gupta, V., Choudhary, K., Tavazza, F., Liao, W. K., Choudhary, A., Acar, P. & Agrawal, A., Dec 2023, In: npj Computational Materials. 9, 1, 111.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers
Gumpula, K., Koloskov, N., Grzenda, D., Hewes, V., Aurisano, A., Cerati, G., Day, A., Kowalkowski, J., Lee, C., Wang, K., Liao, W., Spiropulu, M., Agrawal, A., Vlimant, J., Gray, L., Klijnsma, T., Calafiura, P., Conlon, S., Farrell, S., Ju, X., & 1 others , 2023, In: Journal of Physics: Conference Series. 2438, 1, 012091.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Improving deep learning model performance under parametric constraints for materials informatics applications
Gupta, V., Peltekian, A., Liao, W. K., Choudhary, A. & Agrawal, A., Dec 2023, In: Scientific reports. 13, 1, 9128.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Machine Learning Enabled Image Classification for Automated Data Acquisition in the Electron Microscope
Wahl, C. B., Day, A., Gupta, V., Dos Reis, R. R., Liao, W. K., Mirkin, C. A., Choudhary, A., Dravid, V. P. & Agrawal, A., Jul 22 2023, In: Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada. 29, 1, p. 1909-1910 2 p.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data
Gupta, V. (Contributor), Choudhary, K. (Contributor), Tavazza, F. (Contributor), Campbell, C. (Contributor), Liao, W. (Contributor), Choudhary, A. N. (Contributor) & Agrawal, A. (Contributor), ZENODO, Sep 28 2021
DOI: 10.5281/zenodo.5533023, https://zenodo.org/record/5533023
Dataset
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ALIGNN TL Models
Gupta, V. (Creator), Choudhary, K. (Creator), DeCost, B. (Creator), Tavazza, F. (Creator), Campbell, C. (Creator), Liao, W. (Creator), Choudhary, A. N. (Creator) & Agrawal, A. (Creator), ZENODO, 2022
DOI: 10.5281/zenodo.6816246, https://zenodo.org/record/6816246
Dataset
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rzambre/mpich: Multi-VCI MPICH prototype with UCX
Balaji, P. (Creator), Goodell, D. (Creator), Raffenetti, K. (Creator), Zhou, H. (Creator), Gropp, W. (Creator), Bland, W. (Creator), Latham, R. (Creator), jayeshkrishna (Creator), Langer, A. (Creator), Si, M. (Creator), Guo, Y. (Creator), Fujita, H. (Creator), Congiu, G. (Creator), Zhang, J. (Creator), jainsura-intel (Creator), Iwasaki, S. (Creator), Kalidas, R. (Creator), danghvu (Creator), suhuang99 (Creator), Cao, C. (Creator), tarudoodi (Creator), Zheng, G. (Creator), masamichitakagi (Creator), AlexeyMalkhanov (Creator), Sharkawi, S. (Creator), Coffman, P. (Creator), Sannikov, A. (Creator), Liao, W. (Creator), igor-ivanov (Creator) & Thapaliya, S. (Creator), ZENODO, 2022
DOI: 10.5281/zenodo.6941795, https://zenodo.org/record/6941795
Dataset