Gu-Yeon Wei
Papers
2
Total Citations
27
H-Index
2
About
Gu-Yeon Wei is a leading figure in energy-efficient computing, with a focus on resilient and real-time systems for autonomous machines. His research spans low-power digital circuits, hardware-software co-design, and fault-tolerant architectures. A major contribution is the development of MAVFI, an end-to-end fault analysis framework that assesses silent data corruption in micro aerial vehicles (UAVs), directly impacting mission-critical metrics like flight time and success rate. This work, with 17 citations, underscores his commitment to safety in autonomous systems. Additionally, Wei introduced OMU, a probabilistic 3D occupancy mapping accelerator that enables real-time OctoMap generation at the edge, addressing severe compute and memory constraints for resource-limited robots and drones. This innovation, garnering 10 citations, demonstrates his ability to bridge algorithmic efficiency with hardware acceleration. Wei’s impact is further evident in his extensive collaborations and leadership in low-power design, making him a pivotal researcher for students and engineers interested in building robust, energy-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2