Kang Jun Bai
PhD
Research Electronics Engineer
ABOUT ME
I obtained my Ph.D. degree with the Bradley Department of Electrical and Computer Engineering (ECE) at Virginia Tech (VT). Since joining VT, I have worked with Prof. (Cindy) Yang Yi in the Multifunctional Integrated Circuits and Systems (MICS) Group, in the areas of Machine Intelligence and Neuromorphic Computing Systems.
Prior to joining VT, I obtained my M.S. and B.S. degrees with the School of Engineering at San Francisco State University (SFSU), working with Prof. Hao Jiang in the Bioelectronics Lab, in the areas of Neuromorphic Computing Systems and Energy Harvesting.
NEWS
[PAPER]
Our paper, entitled "Making Intelligent Reflecting Surfaces more Intelligent: A Roadmap Through Reservoir Computing ", is accepted to the IEEE Network Magazine.
[PAPER]
Our paper, entitled "Hybrid FPGA-ASIC Delayed Feedback Reservoir Computing System", is accepted to the 2021 International Conference on Computer-Aided Design (ICCAD).
[PAPER]
Our paper, entitled "Spatial-Temporal Hybrid Neural Network with Computing-in-Memory Architecture", is published to the IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I).
[PAPER]
Our paper, entitled "Deep Learning Identification Strategy for Radio Frequency Fingerprints", is accepted to the 2021 22nd International Symposium on Quality Electronic Design (ISQED).
[FELLOWSHIP]
Our team (Mr. Yibin Liang and I) receives the 2020 Qualcomm Innovation Fellowship (QIF) - North America Program.