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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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EAGER: XAISE: Explainable Artificial Intelligence for Science and Engineering
Choudhary, A. N. (PD/PI), Agrawal, A. (Co-PD/PI) & Liao, W.-K. (Co-PD/PI)
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.-K. (PD/PI), Liao, W.-K. (PD/PI), Agrawal, A. (Co-PD/PI), Agrawal, A. (Co-PD/PI), Choudhary, A. N. (Co-PD/PI) & Choudhary, A. N. (Co-PD/PI)
9/23/20 → 9/22/25
Project: Research project
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Renewal JA - Wei-Keng Liao
Liao, W.-K. (PD/PI), Liao, W.-K. (PD/PI) & Liao, W.-K. (PD/PI)
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
9/1/22 → 8/31/24
Project: Research project
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High-performance I/O Research, Development, and Deployment for DataLib
Liao, W.-K. (PD/PI) & Choudhary, A. N. (Co-PD/PI)
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
10/1/19 → 12/31/23
Project: Research project
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ANL joint appointment funding for Wei-Keng Liao
Liao, W.-K. (PD/PI)
UChicago Argonne, LLC, Argonne National Laboratory, Department of Energy
10/1/19 → 8/31/22
Project: Research project
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h5bench: A unified benchmark suite for evaluating HDF5 I/O performance on pre-exascale platforms
Bez, J. L., Tang, H., Breitenfeld, S., Zheng, H., Liao, W. K., Hou, K., Huang, Z. & Byna, S., Jul 25 2024, In: Concurrency Computation Practice and Experience. 36, 16, e8046.Research output: Contribution to journal › Article › peer-review
Open Access -
Machine Learning-Enabled Image Classification for Automated Electron Microscopy
Day, A. L., Wahl, C. B., Gupta, V., Dos Reis, R., Liao, W. K., Mirkin, C. A., Dravid, V. P., Choudhary, A. & Agrawal, A., Jun 1 2024, In: Microscopy and Microanalysis. 30, 3, p. 456-465 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks
Gupta, V., Li, Y., Peltekian, A., Kilic, M. N. T., Liao, W. K., Choudhary, A. & Agrawal, A., Dec 2024, In: Journal of Cheminformatics. 16, 1, 17.Research output: Contribution to journal › Article › peer-review
Open Access -
Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets
Gupta, V., Choudhary, K., DeCost, B., Tavazza, F., Campbell, C., Liao, W. K., Choudhary, A. & Agrawal, A., Dec 2024, In: npj Computational Materials. 10, 1, 1.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows
Lee, C. S., Hewes, V., Cerati, G., Kowalkowski, J., Aurisano, A., Agrawal, A., Choudhary, A. & Liao, W. K., 2023, Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023. Simmhan, Y., Altintas, I., Varbanescu, A.-L., Balaji, P., Prasad, A. S. & Carnevale, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 71-81 11 p. (Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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.-K. (Contributor), Choudhary, A. (Contributor) & Agrawal, A. (Contributor), ZENODO, Sep 28 2021
DOI: 10.5281/zenodo.5533023, https://zenodo.org/record/5533023
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.-K. (Creator), igor-ivanov (Creator) & Thapaliya, S. (Creator), ZENODO, 2022
DOI: 10.5281/zenodo.6941795, https://zenodo.org/record/6941795
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.-K. (Creator), Choudhary, A. (Creator) & Agrawal, A. (Creator), ZENODO, 2022
DOI: 10.5281/zenodo.6816246, https://zenodo.org/record/6816246
Dataset