Researcher

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

Open Source Memory Systems

Although DRAM is pervasive in almost all modern computing systems, academic research thus far has

been limited to high-level simulations (e.g., DRAMSim). While these simulators can serve well for
general architectural explorations, they often fail to capture implementation-based latencies (i.e., PHY)
and negotiation of commercial interfaces (DFI). Additionally, microarchitectural explorations and
security research would require physical implementations for realistic investigation. A critical example is
the ongoing...

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.

Vighnesh Iyer

Parametric Fuzzing for Hardware Verification

We are investigating the usage of parametric generators for stimulus generation for fuzzing hardware.

We leverage the highly controllable and instrumentable nature of parametric generators to apply
machine learning techniques to guide the mutation and selection algorithms in a fuzzing loop. We
implement a RISC-V instruction generator as a parameteric generator and apply fuzzing to produce
programs that target different microarchitectural metrics or coverpoints.

Averal Kandala

BASE: Bio-implantable Arrayed Sensing Environment

The Bio-implantable Arrayed Sensing Environment (BASE) seeks to address a fundamental problem in critical disease tracking: the lack of quick and actionable diagnostic feedback on applied therapies. It is composed of an implant ASIC, BASE-Hub, and a wireless power and data transfer setup, BASE-Link. Acting as an implantable hub deep within the body for sensor control, persistent data storage, and wireless power and data transfer via inductive coupling, BASE-Hub enables unprecedented long-term, asynchronous diagnostic...

Josh (Minwoo) Kang

Novel Design Methodologies for Digital Design: Machine Learning and Agile Methods

Research on applications of machine learning (ML) that enable automated and/or improved digital
design processes. Approaches include geometric learning and utilization of large language models
(LLMs).

Awani Khodkumbhe

Digital I/Q Sharing mm-wave Transmitters for WiFi

While some attempts have been made to realize digital PAs at mm-wave bands, most demonstrations to date have produced relatively low resolution transmitters and are more suitable for simple modulation schemes. Here we propose a new architecture which can generate 64-QAM using basic I/Q unit elements. For 16-QAM, only 3 are needed, while 64-QAM requires 7 units. Each unit is driven by a constant power signal from the VCO. A series of injection locked VCOs can be used to drive sufficient power without incurring passive...