C-BRIC Students Win IBM Symposium Best Poster Awards

Congratulations to Wachirawit Ponghiran and Zhenyu Wang! Ponghiran of Purdue University and Wang of Arizona State University each won a Best Student Poster Award at the 5th IBM IEEE CAS and EDS AI Compute Symposium. A total of three students were selected for the award from 32 posters. Accepted work were catagorized into three tracks: AI Systems and Applications, AI Architectures and Algorithms, and Emerging Hardware for AI Compute. 

Ponghiran won the award for his work on "Machine Learning-Based Power Modeling of Digital Circuits" in the area of AI Systems and Applications. Wachirawit Ponghiran received B.S. and M.S. degrees in Electrical Engineering from KAIST, Korea in 2015 and 2017 respectively. He is currently pursuing his Ph.D. at Purdue University under the direction of Professor Kaushik Roy. His work focuses on algorithm design for spiking neuromorphic computing. He has held internship positions at IBM and Intel.

Wang won an award for his work on "Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture" in the area of Emerging Hardware for AI Compute. Zhenyu Wang received a B.S degree from Huazhong University of Science and Technology, Wuhan, China, in 2018. He is currently pursuing a Ph.D. degree with the School of Electrical, Computer and Energy Engineering, Arizona State University under the direction of Professor Yu (Kevin) Cao. His current research focuses on the chiplet-based hardware architecture for deep learning acceleration, model compression of DNNs, and hardware-software co-design with neuromorphic hardware acceleration. He worked with Maxlinear Inc as a SoC design intern, in 2022.