Dr. Xu received the 2022 The Journal of Mechanical Design Reviewers with Distinction Award. https://doi.org/10.1115/1.4056742
Author: Xu, Hongyi
Review editor of Structural and Multidisciplinary Optimization
Dr. Xu begins to serve the Structural and Multidisciplinary Optimization as a Review Editor.
Invited seminar by GE Research
Zihan Wang delivered an invited seminar to GE research on Sept 28. The topic is Quantification of Aleatoric Uncertainties in Topological Structures, and Physics-informed Machine Learning Model for Phononic Property Prediction.
Associate Editor of SAE International Journal
Dr. Xu begins to serve the SAE International Journal of Materials and Manufacturing as an Associate Editor.
Best Presentation Award 2nd Place – FGM2022
Leidong Xu’s poster “Generative Design of Stochasticity Graded Structures” wins the Best Presentation Award – 2nd place in the 16th International Symposium on Functionally Graded Materials (FGM2022)
Participation in Frontiers in Design Representation Summer School
Zihan Wang and Leidong Xu are selected to attend the Frontiers in Design Representation Summer School 2022 at the University of Maryland, College Park, July 25-29th, with financial support.
Invited webinar by GE Research
Dr. Xu presented a talk on “Deep Generative Design of Complex Deterministic and Stochastic Structures for Additive Manufacturing” to GE Research.
Zihan Wang receives the ASME BPart Fellowship
Zihan Wang received the Broadening Participation (BPart) Fellowship from the ASME Design Engineering Division (DED). This fellowship includes a travel scholarship, the opportunity of presenting a research proposal with the Design Theory and Methodology Technical Committee, being guest of honors at an exclusive reception for BPart fellows, and receiving on-going mentorship from the DED community.
Nathan graduated with a Master’s degree
Congratulations!
Kick off several new projects
In this year we have kicked off and will kick off several new projects, including
- 3D metamaterial design for additive manufacturing (SHAP3D)
- Battery electrode manufacturing (NIUVT)
- Virtual investigation of structures (UConn CARIC)
- Digital Twin Technologies (DoED GAANN)
Dr. Xu’s group is also recruiting a domestic PhD student as the GAANN fellow. If you are interested, please send your resume to hongyi.3.xu@uconn.edu.