Professor of Electrical and Computer Engineering
- 2007, Doctoral Degree, University of Wisconsin - Madison
- 2003, Master's Degree, University of Wisconsin - Madison
- 1997, Bachelor's Degree, Southeast University
J. Joshua Yang joined the Department of Electrical and Computer Engineering at the University of Southern California in the Fall of 2020. He was a professor of the ECE department at the University of Massachusetts Amherst between 2015 and 2020. He spent about 8 years at HP Labs between 2007 and 2015, leading an emerging materials and devices team for memory and computing. His current research interest is Post-CMOS hardware for in-memory computing, near-sensor compputing, neuromorphic computing, machine learning and artificial intelligence. He holds 118 granted and about 60 pending US Patents, among which two patents on MRAM were licensed by a world leading semiconductor company, the patents on RRAM were transferred to memory manufacturers and national Labs for product development, and the patents on neuromorphic computing led to a fast-growing startup company recently.
He is a Co-founder and the Chairman of the Scientific Advisory Board of TetraMem Inc., a startup company focusing on the hardware acceleration of AI/ML. He was the chair of the 8th IEEE Nanotechnology SFBA Council Symposium on "Emerging Non-volatile Memory Technologies" and also the chair of the 10th symposium on "The Promise and Progress of Nanotech Enabled 2D Devices and Materials". He was a co-chair of the RRAM session of IEDM 2014. He has guest-edited 8 journal special issues on Memory or unconventional computing. He serves on a number of Advisory Boards of international journals and conferences, such as ADVANCED INTELLIGENT SYSTEMS (Wiley), ADVANCED MATERIALS TECHNOLOGIES (Wiley), SMALL STRUCTURE (Wiley) and THE INTERNATIONAL CONFERENCE ON ELECTROCERAMICS etc. He serves as an Associate Editor of Science Advances. He is the Founding Chair of the IEEE Neuromorphic Computing Technical Committee, a recipient of the Powell Faculty Research Award, and a recipient of UMass distinguished faculty lecturer and UMass Chancellor Medal, the highest honor of UMass. He was named as a Spotlight Scholar of UMass Amherst in 2017. He is a Clarivate™ Highly Cited Researcher in the field of Cross-Field. He is among the Top Best Scientists in the Research.com list in the Electronics and Electrical Engineering category for 2022. He was elected to the IEEE Fellow for contributions in resistive switching materials and devices for memory and neuromorphic computing. He was elected as National Academy of Inventors (NAI) Fellow.
Post-CMOS materials and devices to enable non von Neumann hardware, architecture and algorithms.
Current projects include:
1. Intelligent and efficient systems based on near-sensor computing, in-memory computing, analog and parallel computing;
2. Neuromorphic computing using nonlinear dynamical memristive devices as synapses, neurons and dendrites to implement neuroscience principles;
3. Hardware accelerators to efficiently implement Artificial Intelligence and Machine Learning using analog resistive switching devices;
4. High performance Non-volatile memory arrays using emerging materials and devices as memories and selectors;
- Ming Hsieh Department of Electrical and Computer Engineering - Electrophysics
- PHE 608
- Charles Lee Powell Hall
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- USC Mail Code: 2560
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