CV
Education
- PhD in Computer Science, Victoria University of Wellington, 2024
- MSc in Control Science and Engineering, Beijing Institute of Technology, 2020
- BSc in Automation, Beijing Institute of Technology, 2017
Intership experience
- 10/2020-04/2022: Algorithm Engineer, Zhejiang Lab (National Laboratory Base in China)
- Project: The Cloud Brain project
- Developed a dynamic workflow scheduling simulator tailored for multiple robots operating in a cloud-side environment based on the background of the guided tour robot and the Cloud Brain project.
- Proposed a genetic programming algorithm to solve the problem, which resulted in a paper that was published by IEEE Transactions on Services Computing (IF 8.1).
- 07/2019-09/2019: Algorithm Engineer, Alibaba, China
- Project: The Passenger Flow Tracking project
- Developed a streamlined real-time pedestrian detection and tracking method utilising depth images and a two-pass algorithm.
- Conducted tests for the proposed method using two RGB-D cameras in an actual supermarket in Shanghai, achieving a passenger flow detection accuracy of 95\%.
- Accomplished key node detection for wrist skeleton using the Openpose algorithm and employed point cloud fusion for recognising touch behavior.
Skills
- Languages
- Java, Python, R Script, LaTeX, C++
- Tools
- Git/GitHub, IntelliJ PyCharm/IDEA, Microsoft Office
Talks
- 11/2023: Queensland University, Brisbane, Australia
- Paper presentation at the International Conference AJCAI.
- Poster presentation at PhD Forum of AJCAI and achieved the best poster runner-up.
- Achieve the award of 500 AUD supported by the PhD Forum.