New Master of Engineering and Technology Leadership (METL) program expands access to UCSB’s engineering education for working professionals worldwide ...
Inspection presents the largest bottleneck in the National Nuclear Security Administration's (NNSA) manufacturing enterprise and is as much as 4x more costly than fabrication itself. On top of this, ...
Electronics & Photonics research at UC Santa Barbara spans a wide spectrum of topics: material growth, compound semiconductors, high performance transistors, quantum devices, photonics, integrated ...
The seminar series explores cutting-edge research in all areas of ECE, facing the grand challenges of our time. It focuses on a wide range of topics in ECE, including microelectronics, photonics and ...
Collecting 3D microstructural information of materials poses significant challenges, being a process that is time-consuming and expensive. While advancements in serial sectioning instrumentation have ...
In this talk, I discuss why computer designers are looking to develop novel ways of computing for a variety of common but specialized tasks, why spintronic devices, particularly magnetic tunnel ...
The South Coast’s emergence has come largely from cutting-edge companies clustering around the latest technologies, from computing and lasers to infrared radiation and space engineering. Many were ...
Shigeki Yoshida is presenting record Ka-band power density from N-polar GaN HEMTs of 12.8 W/mm at 28 GHz, utilizing N-polar GaN/InAlN HEMTs. Shigeki Yoshida received the B.E. and M.E. degrees in ...
Silicon nitride has become a widely used material for photonic integrated circuits (PICs), due to its broad optical transparency window, moderately high refractive index, widely accessible growth ...
The world of precision atom-, molecular-, and quantum-based scientific experiments, instrumentation, and discoveries, such as atomic clocks and quantum gravitational wave sensors, has the potential to ...
Emerging high-frequency technologies such as satellite communication, 5G telecommunication, and autonomous vehicles necessitate the development of mm-wave power amplifiers. In this work, performance ...
Designing trustworthy machine learning systems requires addressing critical challenges in robustness and fairness. Robust ML models must withstand corruptions, adversarial perturbations and other ...
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