• 2605 Citations
1996 …2023

Research output per year

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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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Grants

  • Research Output

    A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes

    Paul, A., Mozaffar, M., Yang, Z., Liao, W. K., Choudhary, A., Cao, J. & Agrawal, A., Oct 2019, Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019. Singh, L., De Veaux, R., Karypis, G., Bonchi, F. & Hill, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 541-550 10 p. 8964151. (Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019).

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

  • Communication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training

    Lee, S., Agrawal, A., Balaprakash, P., Choudhary, A. N. & Liao, W-K., Feb 8 2019, Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 47-56 10 p. 8638635. (Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).

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

  • Data-driven insights from predictive analytics on heterogeneous experimental data of industrial magnetic materials

    Yang, Z., Watari, T., Ichigozaki, D., Morohoshi, K., Suga, Y., Liao, W. K., Choudhary, A. & Agrawal, A., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019. Papapetrou, P., Cheng, X. & He, Q. (eds.). IEEE Computer Society, p. 806-813 8 p. 8955506. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2019-November).

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

  • Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics

    Yang, Z., Al-Bahrani, R., Reid, A. C. E., Papanikolaou, S., Kalidindi, S. R., Liao, W. K., Choudhary, A. & Agrawal, A., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852162. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

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

  • 1 Scopus citations

    Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning

    Jha, D., Choudhary, K., Tavazza, F., Liao, W. K., Choudhary, A., Campbell, C. & Agrawal, A., Dec 1 2019, In : Nature communications. 10, 1, 5316.

    Research output: Contribution to journalArticle

    Open Access
  • 1 Scopus citations