Johnny Öberg

Johnny Öberg is an Associate Professor at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology. He specializes in embedded systems, FPGA design, and fault-tolerant hardware architectures. His research focuses on radiation effects in electronics, machine learning acceleration, and network-on-chip (NoC) systems.

He teaches and examines courses such as Computer Systems Architecture (IS2202), Embedded Hardware Design in ASIC and FPGA (IL2225), and Embedded Systems Design Project (IL2232). His work often bridges theory and practice, emphasizing real-world applications in aerospace, automotive, and IoT domains.

Key research trends include improving reliability in SRAM-FPGAs through statistical fault injection, developing hardware-accelerated machine learning frameworks, and optimizing NoC architectures for predictable performance in mixed-criticality systems. Recent projects include the SAFEPOWER architecture for energy-efficient systems and collaborations on structural health monitoring using Lamb wave analysis.

No scientific awards are explicitly mentioned in the provided texts. Johnny has advised on multiple degree projects but no specific student names are listed. His contributions include foundational work in GALS (Globally Asynchronous, Locally Synchronous) communication bridges and protocol grammars for low-power implementations.

Labs/teams: Active involvement in the ICES (Innovative Centre for Embedded Systems) and the Suaineadh project for space-deployable structures. Collaborates on interdisciplinary initiatives like the ABB NoC and Panacea NoC prototypes.