Michael Mandel on Auditory bubbles: Estimating time frequency importance functions
Date:
Fri, 03/20/2015 - 11:00am - 12:30pm
Location:
CCRMA Seminar Room
Event Type:
Hearing Seminar Bio:
Michael I Mandel is a Research Scientist in Computer Science and Engineering at the Ohio State University working at the intersection of machine learning, signal processing, and psychoacoustics. He earned his BSc in Computer Science from the Massachusetts Institute of Technology in 2004 and his MS and PhD with distinction in Electrical Engineering from Columbia University in 2006 and 2010 as a Fu Foundation School of Engineering and Applied Sciences Presidential Scholar. From 2009 to 2010 he was an FQRNT Postdoctoral Research Fellow in the Machine Learning laboratory at the Université de Montréal. From 2010 to 2012 he was an Algorithm Developer at Audience Inc, a company that has shipped over 350 million noise suppression chips for cell phones. He has been at Ohio State since 2012 and was awarded an Outstanding Undergraduate Research Mentor award in 2013.
FREE
Open to the Public