School of Electrical Engineering and Computer Science

Gary Steele will discuss his journey in entrepreneurship and describe many of the critical decisions and their tradeoffs as he built an industry leading cybersecurity company.

The Washington Clean Energy Fund has funded this project that will advance and demonstrate the ability of batteries, photovoltaics and responsive loads to provide grid services, energy efficiency and resilience.

While capable of achieving state-of-the-art performance in complex sequential tasks, deep reinforcement learning (deep RL) remains extremely data inefficient and slow to train.

Thesis Title: A Hypothesis Testing Approach to Low-Overhead Trajectory-Based Classification of Aerial Intruders

The first part of this dissertation considers the development of robust load parameter estimation algorithms.

We are at a turning point to address the unprecedented challenges we are facing in healthcare systems.

Planning and operation of power grid highly depends on the analytical studies using models accurately representing the electric assets in the field. Model validation and calibration of generating units are important to ensure the compliance of the models with the actual behavior of the generating assets.

Microgrids show great promise as a resilience resource to provide non-discontinuous service to critical end-use loads during extreme events.