Assistant Professor (Tenure Track), Artificial Intelligence and Digital (Railway) Infrastructures
Section of Railway Engineering, Department of Engineering Structures
Faculty of Civil Engineering and Geosciences, Delft University of Technology
I received my Bachelor degree in Electrical Engineering and Automation from Mao Yisheng Class, Southwest Jiaotong University, Chengdu, China, in 2012. Since then, I have been engaged in railway-related research with Prof. Zhigang Liu as the supervisor of my graduate study. From August 2016 to December 2019, I received my PhD degree with the Section of Railway Engineering, Delft University of Technology (TU Delft), Delft, The Netherlands. My PhD supervisors were Prof. Rolf Dollevoet and Dr. Alfredo Núñez. My thesis entitled 'Data-based Dynamic Condition Assessment of Railway Catenaries' can be found here. Until November 2020, I was a postdoctoral researcher in the same research group at TU Delft in cooperation with ProRail. I am currently an assistant professor contributing to research and education in AI-based digital modelling and design of engineering structures with applications in railways and other systems/structures. My position is under the TU Delft AI initiative.
News
22/04/2021: We are looking for an excellent PhD candidate! Check out the vacancy here: PhD Position in Physics-informed Machine Learning for Railway Infrastructures (TU Delft website).
02/02/2021: I'm co-editing a Special Issue "Sustainability and Digital Transformations in Railway Systems: Modelling, Planning, and Management" for the journal Sustainability (Impact Factor: 2.576). We look forward to your contributions before the deadline: 31 January 2022. Click here if you are interested!
02/01/2021: I am recognized as an Outstanding Associate Editor for IEEE Transactions on Instrumentation and Measurement in 2020.
20/12/2020: I gave a talk 'AI for Railway infrastructures' in an online research seminar invited by Prof. Junhua Xiao from College of Transportation Engineering, Tongji University.
25/11/2020: Our paper 'Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network' is recognized as a Highly Cited Paper (top 1% of the academic field of Engineering) by Essential Science Indicators.
07/11/2020: I am invited to be a member of the technical committee 'Pantograph and Catenary Relation' in the 2021 World Transport Convention (WTC 2021).
18/10/2020: I presented my research 'Unsupervised anomaly detection in railway catenary condition monitoring using autoencoders' at the 46th Annual Conference of the IEEE Industrial Electronics Society (IECON 2020) held online.
30/05/2020: I gave a talk 'Towards Smart Railway Infrastructures' at Tongji University Intelligent Transportation Young Scholars Forum held online.
13/02/2020: I am selected as an 'Outstanding Reviewer of 2019' for IEEE Transactions on Instrumentation and Measurement with a certificate.
04/12/2019: I am invited by Prof. Shervin Shirmohammadi to be an Associate Editor for IEEE Transactions on Instrumentation and Measurement for a term of two years. (Editorial board)
24/07/2019: Our project 'Analysis of ProRail-FMECAs towards big-data asset management' is granted by ProRail. This project will use structural health monitoring data to implement FMECA (failure mode, effects, and criticality analysis) for Dutch railway infrastructures.
Key words in my publication titles generated by wordle
Research Interests
Smart (infra)structures
Physics-informed deep learning
AI-based digital twin modelling
Digital design of engineering structures
Data-driven structural health monitoring
Predictive and proactive maintenance
Railway vehicle system dynamics
Last update: February 2021