Xia, Qiangfei

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Prof. Qiangfei Xia

Professor
Univ of Massachusetts Amherst
Senior Member

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Area of Expertise: Beyond-CMOS devices, Emerging hardware for machine intelligence, hardware security and reconfigurable RF systems, Nanofabrication & heterogeneous integration
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Summary
Dr. Qiangfei Xia is a professor of Electrical & Computer Engineering at UMass Amherst and head of the Nanodevices and Integrated Systems Lab . He received his Ph.D. in Electrical Engineering in 2007 from Princeton University, where he was a recipient of the Guggenheim Fellowship in Engineering (a graduate fellowship from Princeton). He then spent three years as a research associate in the Hewlett Packard Laboratories in Palo Alto, California. In October 2010, he joined the faculty of UMass Amherst as an assistant professor (tenure clock started in January 2011). He became an associate professor with tenure in January 2016 and then a full professor in September 2018.

Dr. Xia's research interests include beyond-CMOS devices, integrated systems and enabling technologies, with applications in machine intelligence, reconfigurable RF systems and hardware security. He has received a DARPA Young Faculty Award (YFA), an NSF CAREER Award, and the Barbara H. and Joseph I. Goldstein Outstanding Junior Faculty Award.

Dr. Xia’s most recent technical contributions include a reliable Ta/HfO2 RRAM device (a.k.a., memristor) that meets most of the required device properties for in-memory computing in artificial neural networks. He also built the world’s smallest working devices in a crossbar (2 nm feature size, 6 nm half pitch), and the tallest 3D crossbar array (8 layers) as a convolutional neural network for video processing. Furthermore, he integrated then largest analog crossbar arrays and demonstrated applications in analog computing, machine learning and hardware security (chip image on the cover of the inaugural issue of Nature Electronics). Finally, Dr. Xia debuted the first nanoscale memristive RF switch with superior performance and a few novel hardware security primitives, such as a robust true random number generator and and a versatile crossbar array that integrates memory, computing and hardware security functionalities..

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