Semiconductors
Fostering U.S. Computer Chip Leadership
91猎奇 semiconductor excellence means meeting the federal CHIPS and Science Act by driving self-sufficiency and diversity in our national computer chip workforce, specialized applied chip research, and by advancing the Silicon Valley entrepreneurial pipeline.
As a partner in the Department of Defense California-Pacific Northwest AI Hardware Hub, we characterize and model cryogenic CMOS down to 4.2K for space and quantum computer applications. Simulation data are also generated to augment machine learning model creation for semiconductor yield improvement and physics discovery in novel transistors.
Below is a rotating selection of our standout investigators in these areas.
鈼�
鈼� Research Strength: Ethical Technology
鈼� Research Strength: Machine Learning
鈼� Research Strength: Quantum Technology
Featured Faculty
John Lee
Professor of Mechanical Engineering
Microfluidics, Mechanics of Soft Materials, Biomechanics, Energy Materials, Microfabrication
Processes, Microelectromechanical Systems
ORCID: 0000-0003-4522-0560
Gita Mathur
Professor of Business
Technological Innovation, Product Development, Project Management, Strategic Management,
Team Management, Semiconductor Industry
David Parent
Professor of Electrical Engineering
Semiconductor Fabrication, Stochastic Processing, Neuromorphic Engineering, Student
Success, HSI, IC design,
ORCID: 0000-0002-9396-6925
Assistant Professor of Physics and Astronomy
Optical Spectroscopy, Materials Science, Quantum Information, Condensed Matter Physics,
Quantum Optics
ORCID: 0000-0002-4103-8748
Hiu-Yung Wong
Associate Professor of Electrical Engineering
Quantum Computing Device and Algorithm, TCAD Simulation, Semiconductor, Wide-Bandgap
Device, Machine Learning, Device Physics, Neuromorphic Computing
ORCID: 0000-0003-0135-7469
Potential collaborators and members of the media may contact us at officeofresearch@sjsu.edu.
