About
Master Student at ETHZ
- Email (Primary): m.zhihaocao@gmail.com
- Hobby: Saxophone, Hiking
- Google Scholar: Google Scholar
- Email (Academic): zhicao@ethz.ch
- Research Interets: Biorobot
I am a master student at ETH Zurich, working for a master's degree in Computational Science and Engineering in the Department of Mathematics.
Previously, I graduated from Harbin Institute of Technology, Shenzhen with a bachelor's degree in Automation. Moreover, I spent a wonderful time working at AIRS in 2023. Besides, I am pleasure to be a remote intern at Baidu Inc. about deep learning for 3 years from 2020 to 2023.
I am looking for a PhD position in Robotics and Neurorehabilitation starting from 2025 fall.
Academic Services
Journal Reviewer:
IEEE Robotics and Automation Letters (RA-L)
Conference Reviewer:
IEEE International Conference on Robotics and Biomimetics (ROBIO)
Resume
Education
Master Program in Computational Science and Engineering
September 2023 - Present
ETH Zurich, Zurich, Switzerland
- Fields of Specialization: Robotics
- Orientation: Neurorehabilitation, Distributed Optimization and deep Learning
Bachelor of Engineering in Automation
September 2019 - June 2023
Harbin Institute of Technology, Shenzhen, Shenzhen, China
- Orientation: Cable-Driven Parallel Robots, Parallel Quadruped Robots, Probabilistic Robotics and Reinforcement Learning
- Outstanding Bachelor Degree Graduates
Research Experience
AIRS, CUHKSZ
March 2023 - August 2023
Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
- Position: Research Assistant
- Supervisor: Dr. Yuan GAO and Prof. Tin Lun LAM
- Orientation: Heterogeneous Multirobot Collaborative Control
Internship Experience
Baidu
September 2020 - January 2023
Baidu, Beijing, China
- Position: R & D Internship (Remote)
- Orientation: Deep Learning
- Achievement: GitHub and Conference
Publications
*: equivalent contribution, #: corresponding author.
Calibration of Deep Learning Classification Models in fNIRS
IEEE International Conference on Automation Science and Engineering, 2024
Zhihao Cao#, Zizhou Luo*
Paper
Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input
IEEE International Conference on Automation Science and Engineering, 2024
Zhihao Cao#
Paper
Contact
Email: m.zhihaocao@gmail.com