Teaching & Supervision

Teaching

Instructor and Examiner at Linköping University

• TSKS18 Generative AI for Data Compression and Transmission (master’s course, 6 credits): Fall 2026
• TSKS36 Digital and Wireless Communications (master’s course, 6 credits): Spring 2026
• TSIN01 Information Networks (master’s course, 6 credits): Fall 2025

Teaching Assistant at Chalmers University of Technology

• Wireless Communications (master’s course, 7.5 credits): Spring 2023, Spring 2024
• Statistics and machine learning in high dimensions (master/PhD course, 7.5 credits): Fall 2021, Fall 2022
• Information theory (master/PhD course, 7.5 credits): Spring 2021, Spring 2023

Guest Lectures/Tutorials

• “Unsourced Multiple Access: from Support Recovery to Type Estimation” (1.5-hour tutorial), Swedish Communication Technologies Workshop, October 2025
• “Modern random access protocols: coded slotted ALOHA”, in TSIN01 Information Networks, Linköping University, October 2024
• “Unsourced Multiple Access for the Internet of Things” (2-hour tutorial), H2020 INCOMING Summer School, June 2022

Supervision

Ph.D. thesis: Co-supervisor with a plan to become the main supervisor

• (recruiting), “Memory poisoning in LLM agents: foundations, attacks, and defenses”, Linköping University, Sweden, to start in Spring 2026
• Garima, “Point cloud transmission for remote registration”, Linköping University, Sweden, started in 10/2025
• Shipeng Liu, “Point cloud transmission for remote registration”, Linköping University, Sweden, started in 08/2025

Ph.D. thesis: Co-supervisor

• Jingyu-Lyu, “Machine learning over wireless networks”, Linköping University, Sweden, to start in Spring 2026
• Amandus Reimer, “The privacy-security trade-off in practical federated learning”, Chalmers University of Technology, Sweden, started in 03/2025
• Marcus Lassila, “Theory for the privacy-security trade-off in federated learning”, Chalmers University of Technology, Sweden, started in 09/2023

Master’s thesis: Co-supervisor

• Xi Zhang, “Learning joint detection and decoding in short-packet communications”, Chalmers University of Technology, Sweden, Sep. 2023-Aug.2024 (then Ph.D. student at Tampere University, Finland)

Master’s thesis: Examiner

• Lorentz Henriksson, “Orientation estimation in 6G radio networks using artificial neural networks”, Linköping University, Sweden, 2025

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

Bachelor’s thesis: Main supervisor

• Noa Paguera (Erasmus exchange student), “Knowledge distillation for light-weight smart wireless devices”, Linköping University, Sweden, 08/2025–01/2026