Executive Vice President for Finance and Administration (EVPFA)

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  • 2023

    Assessing Fairness of AlphaFold2 Prediction of Protein 3D Structures

    Abbas, U. L., Chen, J. & Shao, Q., Sep 3 2023, ACM-BCB 2023 - 14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. 98. (ACM-BCB 2023 - 14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Explainable machine learning for motor fault diagnosis

    Wang, Y. & Wang, P., 2023, I2MTC 2023 - 2023 IEEE International Instrumentation and Measurement Technology Conference: Rising Above Covid-19, Proceedings. (Conference Record - IEEE Instrumentation and Measurement Technology Conference; vol. 2023-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Leveraging Insights from Unique Artifacts for Creating Sustainable Products

    Zannoun, H., Okorafor, J., Asensio, T., Guedes, G., Badurdeen, F., Wang, P., Jawahir, I. S., Campana, G., Mele, M. & Cimatti, B., 2023, Manufacturing Driving Circular Economy - Proceedings of the 18th Global Conference on Sustainable Manufacturing. Kohl, H., Seliger, G. & Dietrich, F. (eds.). p. 1065-1073 9 p. (Lecture Notes in Mechanical Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • NORMALIZING FLOWS FOR INTELLIGENT MANUFACTURING

    Russell, M. & Wang, P., 2023, Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability. v002t09a004. (Proceedings of ASME 2023 18th International Manufacturing Science and Engineering Conference, MSEC 2023; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2022

    Improved Representations for Continual Learning of Novel Motor Health Conditions through Few-Shot Prototypical Networks

    Russell, M. & Wang, P., 2022, 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. p. 1551-1556 6 p. (IEEE International Conference on Automation Science and Engineering; vol. 2022-August).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Monitoring of Backside Weld Bead Width from High Dynamic Range Images Using CNN Network

    Yu, R., Kershaw, J., Wang, P. & Zhang, Y. M., 2022, 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022. p. 39-44 6 p. (2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2020

    Acoustic reciprocity of large three-port silencers

    Zhou, H., Wang, P. & Wu, T. W., Aug 23 2020, Proceedings of 2020 International Congress on Noise Control Engineering, INTER-NOISE 2020. Jeon, J. Y. (ed.). (Proceedings of 2020 International Congress on Noise Control Engineering, INTER-NOISE 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Domain adversarial transfer learning for generalized tool wear prediction

    Russell, M. & Wang, P., Nov 3 2020, Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM. Saxena, A. (ed.). 1 ed. (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM; vol. 12, no. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    6 Scopus citations
  • Multi-branch attention networks for classifying galaxy clusters

    Zhang, Y., Liang, G., Su, Y. & Jacobs, N., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. p. 9643-9649 7 p. 9412498. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Transferable deep learning for in-situ tool wear diagnosis

    Russell, M. & Wang, P., 2020, 2020 International Symposium on Flexible Automation, ISFA 2020. v001t09a006. (2020 International Symposium on Flexible Automation, ISFA 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review