I’m a postdoc in SEALab, Dept. of ECE, UCSB since Jan. 2017. I received my B.S. degree in HuaZhong University of Science and Technology, and M.S. and Ph. D. degrees from the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). My research interests include in-memory-computing architectures for specific-domain applications. Previously, I also worked on energy/reliability management and 3D stacking techniques. 

Dylan Stow started at the University of California, Santa Barbara in Fall 2015 as a PhD student working with Professor Yuan Xie. Dylan received his M.S in Computer Architecture and VLSI/CAD from UCSB in 2017 and his B.S. degree from Harvey Mudd College in 2013. After graduating, he joined AMD as a physical circuit designer and contributed to the floating-point hardware in the recently-released Zen core.
His current research interests are (1) Architecture and design for emerging die-integration methodologies (e.g. 3D, 2.5D, FOWLP) with a focus on cost-driven design, IP reuse, and heterogeneous process integration, (2) hardware security, with an emphasis on hardware
techniques to prevent side-channel information leakage and IP piracy, and (3) efficient brain-inspired hardware that leverages emerging NVM and packaging technologies. Previously, he researched 3D machine learning accelerators for Qualcomm, floating point microarchitectures for Intel and Oracle Labs, and near-threshold CMOS cell design for yield-driven ultra-low power circuits.

 

Peng Gu received his B.S. degree from Tsinghua University, Beijing, China, in 2015. He is currently pursuing the Ph.D. degree from the Department of Electrical and Computer Engineering, University of California, Santa Barbara. Peng’s research interests include low power system design, hardware acceleration and computing with emerging technologies.

Abanti Basak received her B.S.E. degree in Electrical Engineering from Princeton University in May 2016. She started as a Ph.D. student in the Department of Electrical and Computer Engineering at UCSB under the supervision of Professor Yuan Xie in fall 2016. Her research interests include novel computer architecture and the design of energy efficient systems. 

Gushu Li is currently a Ph.D student at University of California, Santa Barbara since Fall 2017 supervised by Prof. Yuan Xie. He received B.E. in Electronic Engineering from Tsinghua University in 2015 and was a Ph.D student in Computer Science at the University of Chicago from 2015 to 2017.
His research interests are (1) quantum computing architecture and (2) processing-in-memory for emerging techniques.

Personal Website: sites.google.com/view/gushuli

Tianqi Tang received her B.S. degree in 2014 and her M.S. degree in 2017 from Department of Electronic Engineering in Tsinghua University, Beijing, China, and she is currently a Ph.D. student in UCSB under the supervision of Prof. Yuan Xie. Ms. Tang’s research mainly focuses on (1) Hardware Modeling and Domain Specific Accelerator Design (Project Site: http://mlpat.org/), (2) Processing-In-Memory and Non Volatile Memory. Before joining UCSB, she worked on neural network compression and quantization as an intern in Deephi (a start-up company now acquired by Xilinx) during her master program.

Since 2017, Bangyan Wang works in SEAL lab as a PhD student, advised by Prof. Yuan Xie. His current research area is architecture design for tensor process, especially for sparse tensor, low rank tensor analysis.