AAAR 37th Annual Conference October 14 - October 18, 2019 Oregon Convention Center Portland, Oregon, USA
Abstract View
Tofigh Sayahi, Chemical Engineering PhD Student, Chemical Engineering
TOFIGH SAYAHI, University of Utah
Abstract Number: 738 Working Group: Meet the Job Seekers
Abstract My research interests include understanding the performance of and effectively deploying low-cost air-quality sensors in for a variety of applications. During my PhD, I have developed several skills including data analytics, computational fluid dynamics, and field testing. My achievements including designing and evaluating a cost-effective aerosol calibration chamber, capable of providing uniformly distributed particle concentrations to eight sensors and a reference instrument for laboratory evaluation of low-cost sensors. I have also been developing strategies, including machine learning, for field calibration of low-cost particulate matter and metal oxide ozone sensors. I am part of an interdisciplinary team who developed the AQandU infrastructure, a dynamic network of over 100 low-cost sensors that provides an estimate of PM2.5 levels throughout the Salt Lake Valley. With more than 3 years’ experience as a teacher assistant, I am also adept in motivating, instructing and supporting students.
I will be available in April 2020. I am looking for a position that will allow me to build on my skills with low-cost sensors such as a postdoc or an industrial position. My geographical preference for a job is the United States of America.