Abstract: Three-dimensional (3D) imaging through a compact device could enable many applications in mobile consumer electronics and biomedical endoscopy. Conventional 3D cameras are bulky and require taking multiple photos to synthesize a 3D scene. Here, I will introduce a new type of 3D camera. It replaces all the bulk optics by a single layer of optical mask and can be made very compact. It takes a snap-shot of the 3D object or scene, and then recovers the 3D information through computational algorithms. Here, I will discuss the two 3D cameras that we recently developed, which can image 3D microscopic objects or 3D macroscopic scenes. Both cameras are composed of a single piece of randomly positioned microlens array and an image sensor. We develop highly-efficient computational algorithms to reconstruct the 3D objects and 3D scenes from a single camera exposure. Our 3D cameras open new avenues for high speed 3D imaging with a compact device footprint.

Bio: Weijian Yang is an associate professor at the Department of Electrical and Computer Engineering at the University of California, Davis. He received his undergraduate degree from Peking University and a PhD from the University of California, Berkeley, all in Electrical Engineering. After postdoctoral training in neuroscience at Columbia University, Dr. Yang started his own laboratory at UC Davis in late 2017. His current research aims to develop advanced optical methods and neurotechnologies to interrogate and modulate brain activity, with a goal to understand how neural circuits organize and function and how behaviors emerge from neuronal activity. He is a recipient of the Career Awards at the Scientific Interface from Burroughs Wellcome Fund in 2016, the Early Career Award from National Science Foundation in 2019, and the Science and PINS Prize for Neuromodulation (second prize) from American Association for the Advancement of Science in 2021.

Abstract: The movement towards a remote workforce brought on by the COVID pandemic have combined with competition to place strong pressure on Cable Television operators to increase their network performance. Recent industry initiatives are touting up to 10 GBps using the existing coaxial cables with upgraded repeater amplifiers. A new DOCSIS (Data Over Cable Service Interface Specification) standard has been approved with significant trials slated for later this year. The new specification, DOCSIS 4.0, supports two divergent architectures each with strengths and weaknesses.

In this presentation, physical-layer technologies that enable DOCSIS 4.0 systems to reach their goals are discussed. Achieving higher levels of signal output to overcome losses in cables without adding distortion is essential to transmit more complex signal modulation that improve spectral efficiency. Improved amplifier linearity continues to be a key enabler for many communication networks. It can be achieved through a combination of newer device technologies such as GaN (Gallium-Nitride) and careful design with an array of linearization circuit techniques.

Bio: Chris Day has 35 years of experience in RF circuits, systems, and markets. After working at Hewlett Packard Santa Rosa for 9 years as an R&D Engineer on Vector Network Analyzers, he became an entrepreneur in the Cable Television industry. He co-founded three companies over a 25-year period, including TriAccess Technologies (acquired by TriQuint Semiconductor in 2009) and OneTree Microdevices (acquired by Analog Devices in 2017). He currently works for Analog Devices as a Design Center Director in their Santa Rosa office. He has a BSEE from UC Berkeley and an MBA from Golden Gate University. He has 6 patents on broadband amplifier linearization.