Improving Public Health through Advanced AI
Henry has served as department head at AT&T Bell Labs in Murray Hill, NJ, and as a full professor at the University of Washington, Seattle. In 2010 he was elected President of the Association for Advancement of Artificial Intelligence (AAAI). His research in artificial intelligence, pervasive computing, and healthcare applications has led him to be honored as a Fellow of the American Association for the Advancement of Science (AAAS), Fellow of the Association for Computing Machinery (ACM), and Fellow of the AAAI. He holds the Computers & Thought Award from the International Joint Conference on Artificial Intelligence. In 2013, he received the Ubicomp 10-Year Impact award for his paper "Inferring High-level Behavior from Low-level Sensors".
Henry currently leads the Goergen Institute for Data Science at the University of Rochester.
Using the CrowdSignals Data
Henry will use the CrowdSignals data to study and evaluate the performance of state-of-the-art and new machine learning and artificial intelligence algorithms over data collected from different fields of study.
"The Crowdsignals data sets will be invaluable for driving progress on modeling complex human behavior from sensor data. Most research to date has used different data sets, which are expensive to create and are each collected under different protocols. Crowdsignals will lower the bar to entry for new researchers and support true apple-to-apple comparisons of algorithms. Researchers in pervasive and ubiquitous computing, artificial intelligence, and human-computer interaction will find it to be a boon."
- Henry Kautz, Robin & Tim Wentworth Director
Goergen Institute for Data Science
University of Rochester
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