Teaching & Supervision

Teaching

Chalmers University of Technology: Teaching Assistant

• 2023 Spring: Information theory (master/PhD course, taught in English, 4 hours)
• 2023 Spring: Wireless Communications (master course, taught in English, 6 hours of exercise sessions and 4 hours of flipped-classroom lectures, handle a group project and an oral exam, final-exam preparation and grading)
• 2022 Fall: Statistics and machine learning in high dimensions (master/PhD course, taught in English, 8 hours)
• 2021 Fall: Statistics and machine learning in high dimensions (master/PhD course, taught in English, 8 hours)
• 2021 Spring: Information theory (master/PhD course, taught in English, 16 hours)

Guest Lectures/Tutorials

• Jun 2022: “Unsourced Multiple Access for the Internet of Things”, H2020 INCOMING Summer School, Chalmers University of Technology, Gothenburg, Sweden (English, 2 hours)

Supervision

Ph.D. thesis: Co-supervisor

• Marcus Lassila, “Theory for the privacy-security trade-off in federated learning”, Chalmers University of Technology, Sweden, 2023-2027
• Xi Zhang, “Learning joint detection and decoding in short-packet communications”, Chalmers University of Technology, Sweden, Sep. 2023-Aug.2024

Master student research projects: Co-supervisor

• Khodor SAFA and Shanglin YANG, “MIMO detection under generalized Gaussian model,” CentraleSupélec, Paris-Saclay University, Mar. 2021.
• Wassim KHELIL, Mohamed Idriss KHALEDI, and Anas OUALLOU, “Embracing non-linearities in future wireless systems via non-convex optimization,” CentraleSupélec, Paris-Saclay University, Feb.-Mar. 2020