QIAN ZHANG (张 谦)
zhangqian90@wust.edu.cn
I am currently a lecturer at the School of Artificial Intelligence and Automation at Wuhan University of Science and Technology(武汉科技大学人工智能与自动化学院).
I obtained my Ph.D. in Electronic Systems Engineering from Hanyang University in South Korea in 2017, under the supervision of Prof. Taek Lyul Song and Prof. Darko Musicki. After completing my Ph.D., I worked on algorithm-related development in target tracking, SLAM, and artificial intelligence at Geely Auto(吉利汽车), Huawei(华为), and BYD Auto(比亚迪汽车). My current research focuses on mobile robot spatial intelligence algorithms.
Research
- Perception: The process of sensing and interpreting the environment to understand its features and dynamics.
- SLAM: A technique for a robot to create a map and determine its location within an unknown environment simultaneously.
- 3D Reconstruction: The process of creating a three-dimensional model of an object or environment from sensory data.
- Planning&Control: Planning is determining a course of action, while control is executing that plan and managing movement.
- Reinforcement Learning: A type of learning where an agent improves its actions based on rewards or penalties received from the environment.
- End-to-End: A system where a single model directly handles the entire process from input to output.
- World Model: Internal representations that predict the consequences of actions to guide decision-making in dynamic environments.
News
- 2025-01-21 Joined Wuhan University of Science and Technology as a lecturer.
- 2021-07-08 Joined BYD Auto as a autonomous driving algorithm engineer.
- 2018-11-09 Joined Huawei as a SLAM algorithm engineer.
- 2017-09-25 Joined Geely Auto as a radar algorithm Engineer.
- 2017-08-18 Successfully defended my Ph.D. thesis.