Invited Talks, Seminars and Keynotes
- Civil Engineering Seminar, Wuhan University & Wuhan Institute of Technology, Wuhan, July 2023. [Slides]
- Machine Learning Enhanced Computational Mechanics: Hybrid physics-data modeling in engineering science, Engineering Seminar, Westlake University, Hangzhou, June 2023.
- Machine Learning Enhanced Computational Mechanics, 3M Tech Forum, February, 2023.
- Structures Seminar Series, Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, December 2022.
- 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.
- Machine learning enhanced computational mechanics for materials model, CEAS Seminar, Department of Mechanical Engineering, University of Wyoming, March 2022.
- Machine learning enhanced computational mechanics for materials model, Machine Learning Seminar Series, Department of Computer Science and Engineering, University of Minnesota, February 2022.
- Computational Mathematics Seminar, Pacific Northwest National Laboratory, April 2021.
- Department of Civil, Environmental, and Geo-Engineering, University of Minnesota, Twin Cities, April 2021.
- Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, March 2021.
- Seminar in Department of Mechanical and Material Engineering, Florida International University, January 2021.
- Data-driven Computational and Experimental Techniques for Extreme Events Applications, 2020 CEER Virtual Research Summit, University of California San Diego, November 2020.
- PhILMs Webinar Series, DOE PhILMs Center, April 2020.
- SE Special Seminar in Computational Mechanics, University of California San Diego (UCSD), March 2020.
- Seminar in Department of Mechanical Engineering, San Diego State University, March, 2020.
- Seminar in Department of Civil and Environmental Engineering, University of Southern California (USC), February 2020.
- 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
- 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.
- He, Q., "A Hybrid Operator Network/Finite Element Method for Ice-Sheet Modeling," USNCCM 17, Albuquerque, New Mexico, July 23-27, 2023.
- 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.
- 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)
- 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.