March 11, 2026
Shared Use of Energy Storage Devices
Because the cost of battery energy storage systems is still high, justifying their installation requires multiple revenue streams. This project investigates how a battery installed by a distribution utility can be used not only to assist in the operation of the distribution network but also to reduce congestion in the transmission network operated by another…
Installation of PV panels, smart inverters and batteries on the UW campus
Besides installing a significant amount of PV panels, we are equipping them with smart inverters that will help control the voltage on the UW campus. We are also installing a battery energy storage system and testing algorithms for controlling all of these devices.
Power System Resilience to Natural Disasters
Recent events, such as Superstorm Sandy, have highlighted the need to improve the resilience of the electricity grid. Rather than focusing on individual components, this project considers the resilience of the overall system. It will also develop techniques to assess the relative value of measures aimed at hardening various components or facilitating the repair and…
Profitability of Energy Storage in a Competitive Environment
This project investigates techniques to assess the profitability of deploying distributed energy storage in competitive electricity markets. After reviewing the rules that have been implemented for the integration of storage, we are developing optimization models of increasing accuracy and complexity to determine the optimal location and size of batteries.
Tonality in Cochlear Implants
Current cochlear implants lack the ability to transmit pitch in sound to patients Ð a crucial lack not only for fully hearing music, but especially for speakers of tonal languages such as Chinese. Our research has already shown and patented an approach to providing tone for implant patients, but success has only been demonstrated in…
Helicity Injected Torus
Study of non-inductive formation and sustainment of a spheromak.
Predictive Computational Modeling of Neuronal Networks
Neuronal networks are capable to fuse sensory information into activity, which encodes particular behaviors. Some of these behaviors are unique and robust, e.g., locomotion or directional flight. We thereby study how neural circuits that facilitate sensory are designed by modeling their networks and investigate the building blocks, robustness, optimality and controllability of these systems. Example…
Neuromorphic Computing
Neuronal networks are capable of processing specific data and tasks optimally and in ‘real time’. Many of these problems are computationally expensive to solve with current computing systems. We thereby develop algorithms and architectures inspired from the design principles of neurobiological networks to solve these problems more efficiently. Example project: Continuous training of recurrent networks.
Digital Pathology: Accuracy, Viewing Behavior and Image Characterization (with PI: Joann Elmore at Harborview and others)
Pathologic assessment for a cancer diagnosis has for years been the “gold standard” guiding clinical care and research endeavors. However, diagnostic misclassification that can compromise clinical and research outcomes occurs in the interpretation of breast biopsy specimens, particularly at the benign to malignant and in-situ to invasive thresholds. At this point in time, technological advances…
ADAPT: Analytical Framework for Actionable Defense against Advanced Persistent Threats
The MURI research team will develop a novel game theory framework to address the continuous computer hacking attacks, known as advanced persistent threats, which are essentially a game played between the system and adversary, where each is constantly trying to outsmart the other. A unique trait of advanced persistent threats is that they consist of…
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