Hello there!
I am a CSE Ph.D. Candidate at University of Michigan EECS. I am advised by Alanson Sample. My research has been supported by the 2022 Meta PhD Research Fellowship and the 2024 Rackham Predoctoral Fellowship.
My research focuses on solving the challenges of continuous remote health monitoring and activity inferencing by developing novel sensing hardware and privacy-preserved sensing approaches. Please see my CV below for more information.
Prior to the University of Michigan, I graduated from Harvard College in 2014 with an S.B. degree in Engineering Sciences with a focus on Electrical Engineering/Computer Science and Biomedical Engineering. Afterwards, I worked at the Harvard University SEAS Active Learning Labs as a Design Specialist in Electrical Engineering, where I developed hands-on EE curriculum and supported students in hardware design. Most notably, I assisted in the development of a new course on wearable signal processing, which was featured at SciPyCon 2016.
Contact:
Yasha Iravantchi
Email: yasha [at] yasha [dot] xyz