Researcher

Dr Jing Rao

Biography

Dr. Jing Rao is a Lecturer in the School of Engineering and IT at the University of New South Wales (UNSW) in Australia, specializing in the non-destructive evaluation and acoustic imaging. Before coming to UNSW, she was a Humboldt research fellowship holder in the Chair of Computational Modeling and Simulation at the Technical University of Munich in Germany. After completing her Ph.D. at Nanyang Technological University (NTU) in Singapore,...view more

Dr. Jing Rao is a Lecturer in the School of Engineering and IT at the University of New South Wales (UNSW) in Australia, specializing in the non-destructive evaluation and acoustic imaging. Before coming to UNSW, she was a Humboldt research fellowship holder in the Chair of Computational Modeling and Simulation at the Technical University of Munich in Germany. After completing her Ph.D. at Nanyang Technological University (NTU) in Singapore, she was a postdoc in her Ph.D. group.

Dr. Jing Rao is Associate Editor of Ultrasonic Imaging and Guest Editor of Measurement Science and Technology and Frontiers in Materials. She holds memberships in a variety of professional organizations, including Senior Member of Institute of Electrical and Electronics Engineers (IEEE), Member of Acoustical Society of America, and Member of Australian Acoustical Society.

***Scholarships of $35,000 (AUD) are available for Ph.D. students who achieved High Distinction (H1) in their undergraduate program and/or have completed a Master by Research. TOEFL (IBT) 90 overall (min. 23 in writing, 22 in reading, listening, and speaking) or IELTS (Academic) 6.5 overall (min. 6.0 in each subset). How to apply? Available at: https://research.unsw.edu.au/how-apply

If you are interested in the following topics, please feel free to contact me.

Deep learning-based defect characterization
Ultrasonic imaging of complex components
Structural health monitoring/non-destructive evaluation
Signal processing

My Grants

Ultrasonic Non-destructive Evaluation System (Grant No. RG214402), 2022 Research Infrastructure Scheme, 2022.
Point Cloud Based Waveform Inversion (Grant No. Ra624/29-1 and KO4570/1-1), German Research Foundation (DFG), 2020-2023.
Structural Health Monitoring of Composite Laminates Based on Guided Wave Tomography (Grant No.1022809), Alexander von Humboldt Foundation, 2019-2021.
Monitoring of Composite Laminates Based on Guided Wave Tomography by Hybrid Travel-Time Tomography and Full-Waveform Inversion Method (Grant No.754462), European Union’s Horizon 2020 - EuroTechPostdoc Programme, 2018-2019.
Automated Inspection System for Train Wheel and Axle Defects (Grant No. RCMS-RP7), National Research Foundation Singapore (NRF), SMRT and Nanyang Technological University, 2016-2021.
Condition Monitoring of Gas Pipelines in Critical Locations Using Ultrasonic Guided Wave Technology (Energy Innovation Research Programme No. NRF2014EWTEIRP003-010), National Research Foundation Singapore (NRF), 2015-2019.
Numerical Modeling of Corrosion Mapping in Ship Structures Using Ultrasonic Guided Waves (Grant No. SMI2014MA07), Singapore Maritime Institute (SMI), 2014-2018.

My Awards

2019 Humboldt Research Fellowship

2018 EuroTechPostdoc Fellow

2018 FENDT Best Paper

2018 Outstanding Contribution in Reviewing-ULTRASONICS

2017 Top Projects from Singapore Maritime Institute

2017 FENDT Second-prize of Student Best Paper Competition

My Research Activities

Dr. Jing Rao's research focuses on quantitative imaging, ultrasonic guided wave tomography, non-destructive testing, and structural health monitoring.

Recent presentations at international conferences:

International Congress On Ultrasonics, Bruges, Belgium, 2019
9th ECCOMAS Thematic Conference on Smart Structures and Materials, Paris, France, 2019
7th Asia-Pacific Workshop on Structural Health Monitoring, Hong Kong, China, 2018
IEEE FENDT, Xiamen, China, 2018
15th Asia Pacific Conference NDT, Singapore, 2017,
11th International Workshop on Structural Health Monitoring, Stanford, California, USA, 2017
Review of Progress in Quantitative Nondestructive Evaluation, Atlanta, USA, 2016