CPA Postdoc L(a)unch- June 2

Dr. Roni Goldshmid, EAS

Develop affordable flow sensors for climate challenge

Dr. Tianqi Song, BBE

Molecular computing systems by artificial nucleic-acids

Lunch will be provided starting 11:45 AM!

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Develop affordable flow sensors for the climate challenge

Accurate mapping of the wind can enable more efficient renewable energy technologies as well as more accurate monitoring and modeling of weather and climate. Current ubiquitous wind sensors provide pointwise records but scaling them to full field requires installation and maintenance of a large number of sensors, which can be cost prohibitive. Therefore, I will demonstrate an affordable alternative in which quantitative estimates of wind speed and direction are inferred based on visual observations of associated flow-structure interactions such as swaying trees and flapping flags, named visual anemometry (VA). To explore generalizability of VA, i.e., the procedure that does not require calibration measurements or a priori collection of training data, I conducted a laboratory study of VA in an open circuit wind tunnel using eight species of vegetation and modeled the relationship between the vegetation displacement fields and wind velocity.

Molecular computing systems by artificial nucleic-acids

DNA molecules are highly programmable and we use them to implement chemical reaction networks (CRNs) for designated computing tasks (e.g., pattern recognition).  In this talk, I'll present my recent work about how to make large-scale reusable DNA strand-displacement circuits, and I'll also briefly talk about my prior work about localized DNA strand-displacement circuits for cancer cell recognition.