I am a Data Scientist in the Digital R&D team at Weir Minerals Digital, based in Malmö, Sweden, where I have been developing AI-based intelligent control systems and data analytics solutions for mineral processing and optimization since November 2025.
I hold a Ph.D. in Mechatronics and Embedded Control Systems from the Royal Institute of Technology (KTH), Sweden (2025), supervised by Prof. Lei Feng. I received my M.Sc. in Mechatronics from KTH, Sweden (2019), and my B.Eng. in Mechatronics Engineering from Harbin Institute of Technology (HIT), China (2018).
I have professional experience in control systems, optimization algorithms, embedded systems, and machine learning. During my Ph.D., my research focused on real-time autonomous systems, robotic control and sensing, optimal control and reinforcement learning, and edge computing applications. Previously, I worked at Robert Bosch GmbH (ETAS) on model-based control systems.
Updates
- Nov., 2025 - I joined Weir Minerals Digital as a Data Scientist to develop AI-driven intelligent control solutions for mineral processing optimization.
- June, 2025 - Our paper on towards mitigating communication latency influence in connected vehicle networks by stochastic decentralized model predictive control is presented in the ECC 2025.
- May, 2025 - Our paper on optimal gait control for a tendon-driven soft quadruped robot by model-based reinforcement learning is presented in the IEEE ICRA 2025.
- Mar., 2025 - I successfully defended PhD thesis on Optimal Control and Coordination of Autonomous Intelligent Systems by Edge Computing
- Dec., 2024 - Our paper on optimal gait design for a soft quadruped robot via multi-fidelity Bayesian optimization is accepted for publishing in J-ASOC.
- July, 2024 - I am selected as a 2024 recipient of the Chinese Government Award for Outstanding Self-financed Students Abroad, Group A （国家优秀自费留学生奖学金）.
- Mar., 2024 - I am granded a travel scholarship from The Jubilee appropriation (Jubileumsanslaget) from the Knut and Alice Wallenbergs Foundation to the IEEE ITSC 2024.
- Nov., 2023 - I am granded a travel scholarship from the Karl Engvers foundation to the IEEE IROS 2024.
- Aug., 2023 - Our paper on collaborative collision avoidance of connected vehicles using ADMM with PI-regulated Lagrangian multipliers is presented in the IEEE CASE 2023.
- July, 2023 - I am selected as a IEEE RAS Travel Grant Awardee for the IEEE CASE 2023.
- May, 2023 - Our paper on edge-enabled adaptive shape estimation of 3D printed soft actuators with Gaussian Processes and Unscented Kalman Filters is accepted for publishing in IEEE T-IE.
- Nov., 2022 - I am granded a travel scholarship from the Karl Engvers foundation to the IEEE IV 2023.
- Aug., 2022 - Our paper on decentralized convex optimization for joint task offloading and resource allocation of vehicular edge computing systems is accepted for publishing in IEEE T-VT.
- June, 2022 - Our paper on shape estimation of a 3D printed soft sensor using Kalman filter is accepted for publishing in IEEE RA-L and is joint-presented in the IEEE CASE 2022.