There is invaluable information health professionals can learn from the devices most of us interact with almost every hour of the day, but gathering and translating that data from our cell phones and FitBits into knowledge we can use presents a challenge. To discuss how to tackle that challenge, the second Health Informatics Institute seminar of the 2017 – 2018 series welcomes James M. Regh, a leading expert in gathering massive amounts of data from mobile and wearable devices.
Join us on October 5th, in room 241 Russell Hall, Health Sciences Campus, at 12:00 p.m. to hear Dr. Regh “Big Data in Behavioral Medicine.”
Dr. Rehg is a Professor in the School of Interactive Computing at the Georgia Institute of Technology, where he is Director of the Center for Behavioral Imaging and co-Director of the Center for Health Analytics and Informatics (CHAI) and the Computational Perception Lab (CPL). He received his Ph.D. from CMU in 1995 and worked at the Cambridge Research Lab of DEC (and then Compaq) from 1995-2001, where he managed the computer vision research group. He received an NSF CAREER award in 2001 and a Raytheon Faculty Fellowship from Georgia Tech in 2005. He and his students have received best student paper awards at ICML 2005, BMVC 2010, Mobihealth 2014, and Face and Gesture 2015, and a 2013 Method of the Year Award from the journal Nature Methods.
Dr. Rehg serves on the Editorial Board of the Intl. J. of Computer Vision, and he served as the Program co-Chair for ACCV 2012 and General co-Chair for CVPR 2009, and is serving as Program co-Chair for CVPR 2017. He has authored more than 100 peer-reviewed scientific papers and holds 25 issued US patents. His research interests include computer vision, machine learning, robot perception and mobile health. Dr. Rehg was the lead PI on an NSF Expedition to develop the science and technology of Behavioral Imaging, the measurement and analysis of social and communicative behavior using multi-modal sensing, with applications to developmental disorders such as autism. He is currently the Deputy Director of the NIH Center of Excellence on Mobile Sensor Data-to-Knowledge (MD2K), which is developing novel on-body sensing and predictive analytics for improving health outcomes.