Chenchen Liu has been appointed assistant professor of electrical & computer engineering at Clarkson University.
She received her bachelor's degree in material physics from Shaanxi University of Science and Technology, China; her master's degree in electronic and communication engineering from Peking University, China; and her Ph.D. in electrical engineering from the University of Pittsburgh.
Liu's research interests include brain-inspired computing system and security, machine learning, integrated circuits design, and emerging nonvolatile memory technologies.
As a research assistant at the University of Pittsburgh, Liu led two projects funded by the National Science Foundation & Air Force Research Lab. One focused on the tape-out of the spiking neuromorphic hardware system with memristive crossbar, while the other explored the tape-out of the level-based neuromorphic engine with memristive crossbar.
Her teaching experience includes serving as a teaching assistant for fundamental experiments on electric circuits, VLSI design, and machine learning.
Prior to coming to Clarkson, Liu was a research assistant at Hewlett Packard Research Labs, Palo Alto, where she worked on machine learning algorithm development and reliability enhanced algorithm development in neuromorphic computing. Before that, she was a device modeling engineer with Semiconductor Manufacturing International Corporation in China.
Liu has written numerous articles for conference and journal publications. She serves on the technical program committee for IEEE International System-on-Chip Conference (SOCC), in addition to serving as a reviewer for IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), IEEE Transactions on VLSI Systems (TVLSI), IEEE Transactions on Computers, IEEE/ACM International Symposium on Nanoscale Architectures, Neurocomputing, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), ACM Transactions on Design Automation of Electronic Systems (TODAES), and IEEE Transactions on Multi-Scale Computing Systems (TMSCS)..
Her recent honors include being awarded a travel grant, ACM Special Interest Group on Design Automation (SIGDA) Student Research Competition, the International Conference on Computer-Aided Design, 2016. In 2014, she received the Best Paper Award at the Institute of Electrical and Electronics Engineers Computer Society Annual Symposium on VLSI (ISVLSI) at Tampa, Fla.