Scholar
Ruigang (Ray) Wang
Google Scholar ID: T8gcqxMAAAAJ
Australian Centre for Robotics, The University of Sydney
Citations & Impact
Citations
809
H-index
15
i10-index
24
Publications
20
Co-authors
8
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Paper 'LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers' provisionally accepted by Automatica
- - Paper 'Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses' accepted by CDC 2025
- - Multiple papers posted on arXiv, including 'R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks'
- - Published in international conferences like ICML, IEEE TAC, CDC, etc.
Research Experience
- - High-precision motion control engineer at Shanghai Micro Electronics Equipment Co., China, from March 2012 to July 2013
- - Postdoctoral researcher in the School of Chemical Engineering at UNSW from April 2017 to September 2018
- - Postdoctoral researcher at ACFR, University of Sydney, advised by Prof. Ian Manchester since then
- - Visiting researcher at ServiceNow Research's Reliable and Secure AI team
Education
- - B.E. in Automobile Engineering from Beihang University in 2009
- - M.E. in Mechatronics Engineering from Shanghai Jiao Tong University in 2012
- - Ph.D. in Chemical Engineering (Process Control) from the University of New South Wales (UNSW) in 2017, supervised by Prof. Jie Bao
Background
- Research interests: Fundamental connections between control theory and machine learning; trustworthy ML for complex system modeling, estimation, control, and decision making; safety-critical applications such as human-robot interaction.
