Invited Talks, Seminars and Keynotes

  1. Civil Engineering Seminar, Wuhan University & Wuhan Institute of Technology, Wuhan, July 2023. [Slides]
  2. Machine Learning Enhanced Computational Mechanics: Hybrid physics-data modeling in engineering science, Engineering Seminar, Westlake University,  Hangzhou, June 2023.
  3. Machine Learning Enhanced Computational Mechanics, 3M Tech Forum, February, 2023. 
  4. Structures Seminar Series, Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, December 2022.
  5. Data-Assisted Computational Mechanics: From Reduced Order Modeling to Physics-Constrained Deep Surrogate Model, Solid Mechanics Research Seminar, Department of Aerospace Engineering and Mechanics, University of Minnesota, November 2022.
  6. Machine learning enhanced computational mechanics for materials model, CEAS Seminar, Department of Mechanical Engineering, University of Wyoming, March 2022.
  7. Machine learning enhanced computational mechanics for materials model, Machine Learning Seminar Series, Department of Computer Science and Engineering, University of Minnesota, February 2022.
  8. Computational Mathematics Seminar, Pacific Northwest National Laboratory, April 2021.
  9. Department of Civil, Environmental, and Geo-Engineering, University of Minnesota, Twin Cities, April 2021.
  10. Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, March 2021.
  11. Seminar in Department of Mechanical and Material Engineering, Florida International University, January 2021.
  12. Data-driven Computational and Experimental Techniques for Extreme Events Applications, 2020 CEER Virtual Research Summit, University of California San Diego, November 2020.
  13. PhILMs Webinar Series, DOE PhILMs Center, April 2020.
  14. SE Special Seminar in Computational Mechanics, University of California San Diego (UCSD), March 2020.
  15. Seminar in Department of Mechanical Engineering, San Diego State University, March, 2020.
  16. Seminar in Department of Civil and Environmental Engineering, University of Southern California (USC), February 2020.
  17. Machine Learning Enhanced Computational Mechanics: Reduced-Order Modeling and Physics-Informed Data-Driven Computing, Astani Civil and Environmental Engineering Seminar, University of Southern California (USC), November 2019

Selected Conference Presentations

  1. Du, H. and He, Q., "Neural Meshfree Method: A hybrid solver for computational mechanics," Advances in Computational Mechanics (ACM 2023) — a conference celebrating the 80th birthday of Thomas J.R. Hughes, Austin, Texas, October 22-25, 2023.
  2. He, Q., "A Hybrid Operator Network/Finite Element Method for Ice-Sheet Modeling," USNCCM 17, Albuquerque, New Mexico, July 23-27, 2023.
  3. He, Q., “Physics-Constrained Deep Neural Network Method for Estimation and Simulation of Vanadium Redox Flow Battery,” 2022 MRS Spring Meeting, May 8-13, 2022.
  4. He, Q., “Enhanced Physics-Constrained Deep Neural Networks for the Redox Flow Battery Modeling,” AIRES 3: Machine Learning for Robust Digital Twins, April 26-28, 2022. (Contributed talk)
  5. He, Q., Tartakovsky, A., “Applying Convex Weighting Physics-Informed Neural Networks (CwPINNs) to Subsurface Modeling and Characterization Problems,” American Geophysical Union (AGU) Fall Meeting 2020, December 1-17, 2020.