Researcher

Andre Green

Yuean Gu

Jose Guajardo

Digital Beamforming with Interference Cancellation for mm-Wave MU-MIMO

Despite significant advancements in communications technology, demand for wireless capacity continues to increase due to new applications and lifestyles, such as autonomous vehicles, virtual reality, and the advent of remote work. Recent improvements in wireless capacity have been achieved through two main avenues: wider channel bandwidth (BW) and multi-user hardware. To operate at wider bandwidths, new wireless standards push toward millimeter-wave (mm-wave) frequencies, between 30 GHz and 300 GHz, where...

Felicia Guo

Open Source AMS Design with Optimization Tools

Modern SoCs are ever increasing in design complexity. Additionally, new process technologies have increasingly complex design rules and parasitic sensitivity, which increases iteration time in AMS circuit design cycles. Generators (namely Berkeley Analog Generator) can alleviate these problems by shortening design time for AMS circuits. Furthermore, growing interest in chip design has resulted in new open source design processes (i.e. Skywater 130nm). In this context, ADCs are a integral part of SoCs by bridging...

Raghav Gupta

Surin Gweon

INSITE 2: A Fully Wireless Implantable, Multicolor Fluorescence Imager for Monitoring the Response to Cancer Therapy

Cellular-level in vivo imaging is critical in obtaining high-resolution, multicellular information in cancer therapy. One key application is monitoring the immune response in immunotherapy, a game-changing therapeutic that unleashes the immune system to attack cancer. While immunotherapy results in durable

responses for responders, detailed cellular-level information from multiple immune cell types is essential to assess the efficacy of the...

Rami Hijab

mm-Wave and sub-THz Packaging

Packaging proves to be a major bottleneck in high frequency systems. This work aims to minimize losses
when transitioning from chip to package, while utilizing low-cost organic substrate packages.

Ken Ho

Ken is a 5th year PhD advised by Professor Borivoje Nikolic. His research interests are primarily focused on the principled application of modern machine learning (ML) techniques towards circuit design acceleration. motivated by significant practical tapeout experience. In industry, he has worked on ML applications at both Apple and Intel Labs.

Charles Hong

Modeling and Design Space Exploration

Apply novel machine learning, optimization, and other techniques to enhance model accuracy and
speed and speed up the architectural design space exploration process.

Yahia Ibrahim

High Efficiency Transmitters for 5G and 6G communication systems

High Efficiency transmitters are critical for modern communication systems. The focus of this research is
to design efficient TX elements while providing linear response in order to get high data rates.