How do connected systems share information, learn, and make decisions?
I study scalable and secure distributed inference: how connected systems communicate the information needed to learn, predict, and make decisions. My research combines wireless communications, information theory, and machine learning.
01 / Communication & distributed inference
What should a network deliver: every message, or the information we need?
I study how many devices can share information efficiently, even with limited coordination, energy, and knowledge of the wireless channel.
My work on unsourced multiple access considers communication from many intermittently active devices. Type-based approaches focus on the information reported collectively by those devices. I also study MIMO, noncoherent communication, and information freshness. My upcoming CESP project studies communication-efficient synchronization of predictions for distributed intelligent systems, connecting communication design with distributed inference.
02 / Task-oriented sensing & transmission
Which parts of a 3D scene are worth transmitting?
I explore point-cloud transmission for remote registration: communicating with a downstream task in mind, rather than treating every bit as equally important.
The WASP-funded project Point-Cloud Transmission for Remote Registration connects communication design with 3D perception. Our work includes registration-error estimation and patch-based point cloud transmission with rate adaptation, bringing the communication budget and sensing data delivery into the same design problem.
03 / AI privacy & security
What can a learning system reveal, and what can it be made to remember?
I investigate privacy risks in learning systems and the foundations of attacks and defenses, including membership inference and memory poisoning in AI agents.
Work on membership inference and federated learning examines the limits of privacy protection. A Swedish Research Council project, Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses, extends this research to the memories used by AI agents.
ELLIIT Annual Workshop, Lund University · October 2026 · 15 minutes
Unsourced multiple access: from support recovery to type estimation
Swedish Communication Technologies Workshop · October 2025 · 1.5 hours
Unsourced multiple access with common alarm messages
Zugspitze Workshop on Communications · January 2023 · 45 minutes
Noncoherent wireless communications: fundamental limits and system design
GRETSI, France · September 2022 · 15 minutes
Unsourced multiple access for the internet of things
H2020 INCOMING Summer School · June 2022 · 1.5 hours
Invited Seminars and Colloquia
Massive Random Access
VinUniversity (July 2026); Universitat Politècnica de Catalunya (June 2026); University of Cyprus (October 2025); Aalborg University (April 2024); Linköping University (October 2023); Vietnam National University Hanoi (May 2023, May 2021); INRIA Lyon (April 2023); CentraleSupélec (January 2023); ETIS, France (February 2022).
Age of Information
AVISE (November 2024); University of Amsterdam (April 2024); Hanoi University of Science and Technology (December 2023); German Aerospace Center, DLR (September 2022).
Noncoherent Wireless Communications
CentraleSupélec (December 2021, June 2018); Club EEA, France (June 2021); Vietnam National University Hanoi (August 2019, November 2017); Technical University of Munich (September 2017).