Researcher

Nayiri Krzystofowicz

Fast and Transferrable RTL Power Estimation

Developing a model to estimate power for RTL designs that can accurately be transferred to both new
workloads and similar RTL. Also performing energy characterization of various designs, and investigating
power virus generation.

Rahul Kumar

High-speed parallel die-to-die interconnects and composable analog/mixed-signal generator frameworks

Generators are a key component in enabling analog/mixed-signal design automation, reuse, and optimization. Existing generator frameworks suffer from being tightly integrated with commercial tools, having performance limitations, and being difficult to customize to circuits that require different styles of layout. We are developing Substrate, a new framework for writing analog and mixed-signal generators. Substrate offers high performance, strongly-typed APIs, and a...

Lucas Lahann

Networked Potentiometric Sensors for Soil Nitrogen Monitoring

Monitoring soil nitrogen species is critical to mitigate the environmental and health impacts associated with over-fertilization. My research focuses on developing soil stable, passive, and printed potentiometric sensors as a component of systems with the goal of measuring concentrations of these nitrogen species over several months (one full growing season). By utilizing low-cost components and networking the sensors across agricultural fields, we seek to enable high spatial and temporal resolution...

Rahul Lall

Wearable, Integrated Sparse-SPECT for Continuous, Real-Time Dosimetry in Cancer Radiopharmaceutical Therapy

Radiopharmaceutical therapy (RPT) has recently shown promise in the treatment of neuroendocrine and prostate cancer, giving hope to late stage metastatic cancer patients that currently have very few treatment options. RPT involves conjugating a radioisotope to a cancer specific molecule, which is subsequently intravenously administered to selectively target cancer cells anywhere in the...

Yueting Li

I-Ting Lin

Wei-Yu Lin

Yu-Chi Lin

Wireless EEG with TMS and MRI

We are developing a millimeter-square low-power wireless ADC capable of detecting and transmitting microvolt-level signals. This ADC offers potential for high-precision measurements in various domains, including biomedical, automotive, and IoT. The immediate objective of this project is to design a concurrent TMS-EEG-MRI system – a temporal and spatial imaging method that may unveil the intricacies of brain circuits. The high-precision ADC enables acquisition of EEG signals down to 10μV, while the wireless communication remains robust...

Daniel Lovell

Sarika Madhvapathy

Electronic-Photonic Ultrasound Receiver Array for Endoscopic Applications

Endoscopic ultrasonic imaging applications require low-power, minimal-size probes that render 3-D, real time images. Commercial ultrasound imagers consisting of piezoelectric or capacitive micromachined ultrasound transducers (PMUTs or CMUTs) suffer several drawbacks, including high probe form factor, high power consumption inside the body, large probe tube diameter, and limited bandwidth due to pitch constraints. Silicon microring resonators (MRRs) are promising alternatives to commercial...