Full CV
Click here to download my full CV (08/2024).
Education
Ph.D. in Civil and Environmental Engineering - Transportation Engineering
University of Wisconsin-Madison, Aug 2019 - June 2024- Advisor: Professor Bin Ran
- Thesis Topic: A Learning-based Integrated Framework of Motion Prediction and Planning for Connected and Automated Vehicles: Towards Interaction, Multi-Modality, and Relational Reasoning.
MS in Computer Sciences
University of Wisconsin-Madison, Jan 2020 - May 2022MS in Civil and Environmental Engineering - Advanced Infrastructure Systems
Carnegie Mellon University, Aug 2017 - Dec 2018B.Eng in Civil Engineering
Southeast University, Aug 2013 - Jun 2017Academic Experience
Postdoctoral Research Associate
Department of Landscape Architecture and Urban Planning, Department of Civil and Environmental Engineering. Aug 2024 - Present- Designed campus digital twin systems for human activities and vehicle mobility.
- Designed digital twin systems for vehicle safety analysis and environment interaction analysis.
- Developed hypergraph-based group-wise dynamic interaction-aware with relational reasoning for motion generation and planning of multi-agent systems.
- Developed explainable and generalizable relational reasoning for multi-agent interaction.
- Developed spatial-temporal multi-modal data fusion and imputation frameworks.
Research Assistant
CAVH Research Group & Traffic Operations and Safety Laboratory. Sept 2019 - Aug 2024- Developed graph-based interaction-aware and multi-modal vehicle motion prediction.
- Developed deep learning based decision-making and motion planning for CAV considering interaction and relational reasoning.
- Developed a deep learning based data reconstruction framework based on sparsely located sensors.
- Designed and developed CARLA simulation and digital twin modeling for automated driving.
- Develop deep reinforcement learning based control methods for the CAV platoons.
- Developed Connected Reference Marker (CRM) system circuit demonstration for vehicle positioning.
- Contributed to architecture design and patent writing of Collaborate Automated Driving System (CADS).
Project Assistant
Traffic Operations and Safety Laboratory. Sept 2019 - Aug 2024- Manager: Dr. Steven T. Parker.
- Developed the data pipe of the City of Madison Connected Vehicle Corridor Project.
- Evaluated the performance of C-V2X in urban environments.
- Designed a digital twin for the connected vehicle corridor.
- Enhanced algorithms and data processing of WisTransPortal V-SPOC Traffic Detector Database.
- Upgraded web-based tools for efficient V-SPOC traffic data analysis and extraction.
Academic Services
Project Leader
CAVH Research Group, Fall 2021, Spring 2022, Fall 2022CARLA Research Project: Simulation of the Collaborative Automated Driving Systems
Teaching Assistant
Civil and Environmental Engineering, University of Wisconsin-Madison, Spring 2020 - Spring 2022- CEE 678 Advanced Traffic Modeling and Computer Simulation
- CEE 579 Seminar-Transportation Engineering
Course Grader
Civil and Environmental Engineering, Carnegie Mellon University, Spring 2018 - Fall 2018- CEE 12-741 Data Management
- CEE 12-638 Behavior of Structural Systems
Journal and Conference Review
Academic Society Affiliations
- Guest Editor of Electronics - Special Issue: Advanced Control Technologies for Next-Generation Autonomous Vehicles
- Affiliate Member of American Society of Civil Engineers (ASCE)
- Member of Institute of Electrical and Electronics Engineers (IEEE)
- Member of IEEE Intelligent Transportation Systems Society (ITSS)
Honors and Awards
- Third Place: The First OnSite Autonomous Driving Algorithm Challenge, 2023
- First Prize: IEEE-ITS “Shape the Future of ITS” Competition, 2021
- Outstanding Member of Southeast University, 2016
- Class 5187 Alumni Scholarship, Southeast University, 2016
- Chixia Development Scholarship, Southeast University, 2015
- Changzhou Alumni Association Longcheng Scholarship, Southeast University, 2014
Coursework
- Machine Learning
- Mathematical Foundations of Machine Learning
- Theoretical Foundations of Machine Learning
- Theoretical Foundations of Deep Learning
- Computer Vision
- Introduction to Artificial Neural Networks
- Matrix Methods in Machine Learning
- Introduction to Optimization
- Introduction to Algorithms
- Sensing and Data Mining for Smart Structures and Systems
- Advanced Python Prototyping for Infrastructure Systems
- Urban Systems Modeling
- Design Computation II: Algorithms
- Geographic Information Systems
Skills
- Python
- Java
- MATLAB
- SQL
- Julia
- C#
- html
- JavaScript
- C
- Pytorch
- TensorFlow
- Keras
- scikit-learn
- numpy
- pandas
- opencv-python
- Django
- Pytorch Geometric
- CARLA
- SUMO
- PostgreSQL
- Oracle SQL Developer
- AutoCAD
- Revit
- ArcGIS
- Rhino
- Grasshopper