Organized tutorials on multi-object tracking at FUSION conferences (2020–2025) and MFI conference (2024–2025). Received paper awards at FUSION 2021 and MFI 2024. Published multiple journal articles such as 'Probabilistic GOSPA: A metric for performance evaluation of multi-object filters with uncertainties' in IEEE Transactions on Aerospace and Electronic Systems.
Research Experience
Currently a Research Assistant Professor at the Smart Sensor Fusion Lab, Department of Automation and Intelligent Sensing, Shanghai Jiao Tong University. Postdoctoral researcher at the Signal Processing Group at Chalmers after PhD. Worked at Zenseact (an autonomous driving software company owned by Volvo Cars) and was an Industrial Postdoctoral Researcher affiliated with the Division of Automatic Control at Linköping University.
Education
Received MSc in Communication Engineering from Chalmers University of Technology, Gothenburg, Sweden, in 2017. Obtained PhD in Signal Processing from the same university in 2022. Advisor information not provided.
Background
Research interests lie broadly in Bayesian inference and machine learning, with a particular focus on sensor fusion and object tracking. Current work centers on multi-object tracking, multi-sensor fusion, and simultaneous localization and mapping (SLAM) using lidar and radar.