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.

Wenqin Huangfu received his B.S. degree from Department of Electronic Engineering, Tsinghua University, in 2016. He started pursuing his Ph.D. degree from the Department of Electrical and Computer Engineering, University of California, Santa Barbara, under the supervision of Professor Yuan Xie in fall 2016. Wenqin’s research interests include hardware acceleration, non – volatile memory, novel computer architecture and design of energy efficient system. 

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.

Xinfeng Xie started the journey of pursuing his Ph.D. degree from Fall 2017 working with Prof. Yuan Xie in the University of California, Santa Barbara (UCSB). He received his B.S. degree from Peking University, Beijing, China in June 2017 prior to joining UCSB. His current research interests include domain-specific architecture designs for emerging applications and programming language supports for these architectures. 

Yang Zhao received both M.S. and B.S. degree in Microelectronics and Solid State Electronics from Fudan University in 2015 and 2012. After graduating, she worked as a digital circuit design engineer. She started as a Ph.D. student in the Dept. of ECE at UCSB under the supervision of Prof. Yuan Xie in fall 2017. Her research interests include computer architecture, interconnection network, and emerging memory technologies.  

Jilan Lin is currently pursuing his Ph.D student at UCSB starting from Fall 2018. He received the B.E. degree in Dept. of Electronic Engineering in Tsinghua University, Beijing, China. His research interests include: (1) Application-driven in-memory processing (2) Machine learning algorithms and related hardware acceleration.