Assistant Professor, Artificial Intelligence and Digital (Railway) Infrastructures
Section of Railway Engineering, Department of Engineering Structures
Faculty of Civil Engineering and Geosciences, Delft University of Technology
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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 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
News
27/12/2023: I was promoted to Associate Editor-in-Chief for the journal IEEE Transactions on Instrumentation and Measurement. (Editorial Board)
09/12/2023: Good news! Our paper led by my PhD student Taniya Kapoor 'Neural oscillators for generalization of physics-informed machine learning' is accepted by AAAI-24. Congrats to her and the team!
06/12/2023: I'm organizing a special session titled “Physics-Informed Neural Networks: Advancements and Applications” for IJCNN 2024, as part of WCCI 2024 to be held in Yokohama, Japan. Your contribution is welcome! The deadline for paper submission is 15 January 2024.
15/11/2023: Today we welcome Nikhil Manakshya who started his PhD on real-time assessment and control of electric locomotives for traction and braking, as part of IAM4RAIL.
04/10/2023: I made it to the list of top 2% scientists in the single year 2022 from this database published by Elsevier.
17/07/2023: My PhD student Taniya Kapoor published her first journal paper entitled 'Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems' in IEEE TNNLS. Congrats to her!
04/01/2023: I am recognized as an Outstanding Associate Editor for IEEE Transactions on Instrumentation and Measurement in 2022 for the third year in a row.
22/12/2022: I am co-editing a Special Issue 'Emerging Signal Processing Technologies in Industrial Automation and Control' for the journal IET Signal Processing. Looking forward to your contributions by 15 July 2023!
20/08/2022: I was invited to be on the editorial board of Intelligent Transportation Infrastructure. (Editorial Board)
15/01/2022: I was recognized as an Outstanding Associate Editor for IEEE Transactions on Instrumentation and Measurement in 2021 for the second year in a row.
10/12/2021: I received the PhD thesis award from the European Rail Research Advisory Council during the online event of Shift2Rail Innovation Days (Twitter).
01/11/2021: Today Taniya Kapoor started as a PhD student under my supervision. Her PhD is about physic-informed machine learning and applications in railway infrastructures. Welcome, Taniya!
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 was 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 the 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 was 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 EdWordle
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: December 2023
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