Machine Learning Seminar

Sensing and Machine Learning


Vuk Mandic
School of Physics and Astronomy
University of Minnesota

Wednesday, December 2, 2020
3:30–4:30 pm
Online via zoom

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CENTER FOR EXCELLENCE in Sensing Technologies and Analytics (CESTA) at the University of Minnesota brings together researchers from diverse domain fields that use sensing in their work. While a number of CESTA members work on development of novel sensing technologies, there is also an increasing demand for using modern data analytic techniques to process and analyze diverse and large volumes of data produced by sensor arrays. I will survey the machine/deep learning needs of CESTA researches across multiple domain fields, highlighting the research projects that could benefit from machine/deep learning expertise.

VUK MANDIC is a Distinguished McKnight University Professor at the University of Minnesota Twin Cities. He obtained his Physics Ph.D. at UC Berkeley in 2004, and since then has been working in the field of gravitational wave astrophysics. He is a member of the LIGO Scientific Collaboration that discovered the first gravitational wave signal in 2015, generated in a merger of two black holes, which resulted in a Nobel Prize in Physics in 2017. Prof. Mandic is the founding director of the Center for Excellence in Sensing Technologies and Analytics (CESTA) at the University of Minnesota.