Weiwen Jiang will join George Mason University as a Tenure-Track Assistant Professor in Fall 2021. He is currently a Post-Doctoral Research Associate at the University of Notre Dame. He received his Ph.D. degree from Chongqing University in 2019. From 2017 to 2019, he was a research scholar in the Department of Electrical and Computer Engineering at the University of Pittsburgh. His research interest is on hardware and software co-design; in particular, the co-design of neural networks and different hardware accelerators, including mobile devices, FPGA, and ASIC. Most recently, he moves to the co-design of neural networks and quantum circuits. His work demonstrates the quantum advantages for neural networks for the first time, which has been published at Nature Communications.
On the quantum topic, he was invited to give a contribution talk at IBM Quantum Summit 2020 and invited by Nature to submit a perspective paper on quantum machine learning.
Dr. Jiang's research works have been published in prestigious journals and conferences, including Nature Electronics, Nature Communications, IEEE/ACM Transactions, DAC, ICCAD, ESWEEK, GLSVLSI, etc. He is the receipt of Best Paper Award in ICCD’17 and Best Paper Nominations in DAC'19, CODES+ISSS'19, ASP-DAC'16, and ASP-DAC'20.
Research Manuscript
AI/ML System Design
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