Hsinyu (Sidney) Tsai  Hsinyu (Sidney) Tsai photo       

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Research Staff Member, Lithography, Exploratory Devices, Neuromorphic Computing
Almaden Research Center, San Jose, CA, USA
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HsinYu (Sidney) Tsai received her Ph.D. from the Electrical Engineering and Computer Science department at Massachusetts Institute of Technology in 2011. Her main research activities in Prof. Henry I. Smith’s group were on super-resolution optical lithography and imaging combining photo-chromic films and diffractive optics.

Sidney currently works in the Alamden Research Center in San Jose, CA, applying PCM-based devices for neuromorphic computing. Leveraging the training capability and error tolerance in deep neural networks (DNN), matrix-vector multiplication and network weight update operations can be achieved in constant time at low power in a memory cross-bar array. The group demonstrates software compatible accuracies for classic DNN datasets, such as MNIST, CIFAR-10, and CIFAR-100.

http://researcher.ibm.com/researcher/view_group.php?id=7716

Sidney worked in the Nanofabrication and Electron Beam Lithography group at the IBM T.J. Watson Research Center in Yorktown Heights, N.Y, from 2011 to 2015, where she is developing next generation lithography for circuit applications with directed self-assembly (DSA). Sidney's main research activities are developing sub-30nm pitch pattern generation process and integration schemes for finFET device fabrication. More specifically, the team develops processes that utilizes the self-alignment nature of directed self-assembly (DSA) for finFET circuit patterning and characterizes devices made with such patterning schemes.

From 2015-2016, Sidney became the manager of the Advanced Lithography group in the Microelectronics Research Laboratory (MRL), managing the operation of a 200mm research prototyping line with lithography techniques ranging from i-line, DUV, 193, to e-beam lithography. The MRL enables critical hardware to advance the field of device and computing research, including III-V, carbon nanotube, photonics, and quantum computing.