• 9052 Citations
1987 …2023

Research output per year

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Personal profile

Research Interests

Professor Alok Choudhary's research over the last  decades focused on big data science, supercomputing, scalable data mining, Machine Learning, AI and their applications in sciences (e.g. climate understanding, astrophysics, designing materials etc.), medicine (e.g., understanding diseases causes, outcome predictions, drug design etc.) and business applications (e.g., business intelligence, marketing, advertising).

Education/Academic qualification

Computer Engineering (ECE Department), PhD, Uniersity of Illinois

… → 1989

Computer Engineering (ECE Department), MS, University of Massachusetts

… → 1986

Electrical and Electronics Engineering, BE, Birla Institute of Technology and Science Pilani

… → 1982

Research interests

  • Computer architecture
  • Data intensive computing
  • High-performance I/O systems and software
  • High-performance computing
  • Materials and Medical Informatics
  • Scalable data mining
  • Social Media

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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

    Deep materials informatics: Applications of deep learning in materials science

    Agrawal, A. & Choudhary, A., Sep 1 2019, In : MRS Communications. 9, 3, p. 779-792 14 p.

    Research output: Contribution to journalReview article

    Open Access
  • 4 Scopus citations