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Keynote Lecture

 

Available soon.

Daniel McDuff
Microsoft
United States
 

Brief Bio

Daniel McDuff (http://alumni.media.mit.edu/~djmcduff/) is a Researcher at Microsoft where he leads research and development of affective computing technology, with a focus on scalable tools to enable the automated recognition and analysis of emotions and physiology. He is also a visiting scientist at Brigham and Women’s Hospital in Boston where he works on deploying these methods in primary care and surgical applications. Daniel completed his PhD in the Affective Computing Group at the MIT Media Lab in 2014 and has a B.A. and Masters from Cambridge University. Previously, Daniel was Director of Research at Affectiva and a post-doctoral research affiliate at the MIT Media Lab.  During his Ph.D. and at Affectiva he built state-of-the-art facial expression recognition software and lead analysis of the world's largest database of facial expression videos.

 

His work in machine learning, AR and affective computing has received nominations and awards from Popular Science magazine as one of the top inventions in 2011, South-by-South-West Interactive (SXSWi), The Webby Awards, ESOMAR and the Center for Integrated Medicine and Innovative Technology (CIMIT). His projects have been reported in many publications including The Times, the New York Times, The Wall Street Journal, BBC News, New Scientist, Scientific American and Forbes magazine. Daniel was named a 2015 WIRED Innovation Fellow and has spoken at TEDx Berlin and SXSW. We is a member of the ACM Future of Computing Academy.


Abstract
Available soon.



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