معرفی
Associate Professor Joshua San Miguel leads research in computer architecture and systems at the University of Wisconsin-Madison, with an affiliate role in Computer Sciences. His work focuses on energy-efficient computing for IoT devices, microarchitecture innovations, and networks-on-chip. He holds a PhD (2017) and BASc (2012) from the University of Toronto.
- Education:
- PhD in Electrical & Computer Engineering, University of Toronto (2017)
- BASc in Engineering Science (ECE), University of Toronto (2012)
- Research Interests:
- Approximate computing for energy harvesting systems
- Branch prediction and value prediction in processors
- Cache architectures and networks-on-chip for many-core processors
- Intermittent computing resilience
His recent work emphasizes value-level parallelism (Carat/uSystolic), RTL simulation acceleration (TaroRTL), and personalized neural network inference (CAP’NN). His research has been recognized with the NSF CAREER Award (2021) and multiple IEEE Micro Top Picks.
Grants & Advising: Active in supervising advanced independent studies and master’s/dissertation research. Extensive grant funding includes the NSF CAREER Award and the Grainger Faculty Scholarship.
Labs & Teams: Leads research groups focused on approximate computing and energy-efficient architectures within the Electrical & Computer Engineering department.
