Weiming Wang

Weiming Wang

Professor, Nanjing University of Science and Technology

Short Biography

I am currently a Professor at Nanjing Unviersity of Science and Technology. I was an associate professor at Dalian University of Technology. I obtained my bachelor and doctoral degrees at Dalian University of Technology, supervised by Prof. Xiuping Liu. I visited the Zhejiang University and the University of Science and Technology of China (supervised by Prof. Ligang Liu), and the Computer Graphics & Multimedia Lab at RWTH Aachen University (supervised by Prof. Leif Kobbelt). I was a postdoc researcher at Dalian University of Technology (supervised by Prof. Baocai Yin), a postdoc researcher supported by Marie Sklodowska Curia LEaDing Fellows Postdocs Programme at the Delft University of Technology (co-supervised by Prof. Jun Wu, Charlie C.L. Wang, and Fred van Keulen) and, a PDRA at the University of Manchester (supervised by Prof. Charlie C.L. Wang).

My research works were received the International Society of Structural and Multidisciplinary Optimization (ISSMO)/ Springer prize, the GDC 2021 Best Paper Award, and the first Test-of-Time Award of Siggraph Asia (2023), etc.

Education

  1. 2006.09~2010.06 Dalian University of Technology, B.S
  2. 2010.09~2016.06 Dalian University of Technology, PhD

Research Experience

  1. 2011.09~2012.03 Zhejiang University, Student visitor
  2. 2012.03~2014.06 University of Science and Technology of China, Student visitor
  3. 2014.10~2015.10 RWTH Aachen University, Student visitor
  4. 2016.06~2021.12 Dalian University of Technology, Lecturer
  5. 2016.07~2020.11 Dalian University of Technology, PosDoc
  6. 2018.04~2020.05 Delft University of Technology, Leadingfellow postdoc(Supported by Marie Curie Funding)
  7. 2021.12~2023.09 Dalian University of Technology, Associate professor
  8. 2022.11~2024.10 The University of Manchester, PDRA
  9. 2024.10~now Nanjing Unviersity of Science and Technology, Professor

Research Interests

  1. AI for Engineering: Intelligent Design and Optimization
  2. Neural Network based Optimization
  3. Computer Graphics and Digital Geometry Processing
  4. Computational Design, Optimization, and Fabrication