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![]() Rosalind W. Picard, Sc.D., FIEEE Director of Affective Computing Research Director of Autism & Communication Technology Co-Director of Things That Think Professor of Media Arts and Sciences MIT Media Lab, E14-374G 75 Amherst Street Cambridge, MA 02139; USA picard (you can make the "at") media (dot) mit (dot) edu download Curriculum Vitae (CV) Follow @RosalindPicard Assistant: Lillian Lai MIT Media Lab, E14-374H Phone: (617) 253-0369 Fax: (866) 806-7264 lillian (you can make the "at") media (dot) mit (dot) edu |
Professor Rosalind W. Picard, Sc.D. is founder and director
of the Affective Computing
Research Group at the Massachusetts Institute of Technology (MIT)
Media Laboratory, co-director of the Things That Think Consortium,
the largest industrial sponsorship organization at the lab, and leader
of the new and growing Autism & Communication Technology Initiative at
MIT. She is co-founder, chief scientist and chairman of Affectiva, Inc., making technology to
help measure and communicate emotion.
Picard holds a bachelor's degree in electrical engineering
with highest honors from the Georgia Institute of Technology, and
master's and doctorate degrees, both in electrical engineering and
computer science, from the Massachusetts Institute of Technology
(MIT). Prior to completing her doctorate at MIT, she was a Member of
the Technical Staff at AT&T Bell Laboratories where she designed VLSI
chips for digital signal processing and developed new methods of image
compression and analysis. In 1991 she joined the MIT Media Lab
faculty. She became internationally known for constructing
mathematical texture models for content-based retrieval of images,
for creating new tools such as the Photobook system, and for
pioneering methods of automated search and annotation in digital
video. The year before she was up for tenure, she published the
award-winning book Affective Computing, which was instrumental in
starting a new field by that name. Picard has been awarded dozens of
distinguished and named lectureships internationally and in 2005 was
honored as a Fellow of the IEEE for contributions to image and video
analysis and affective computing.
The author of nearly two hundred scientific articles and chapters in multidimensional signal modeling, computer vision, pattern recognition, machine learning, human-computer interaction, and affective computing, Picard is an international leader in envisioning and inventing innovative technology. She is recipient of a best paper prize for work on machine learning with multiple models (with Tom Minka, 1998), and recipient of a best theory paper prize for work on affect in human learning (with Barry Kort and Rob Reilly, 2001). She holds multiple patents, having designed and developed a variety of new sensors, algorithms, and systems for sensing, recognizing, and responding respectfully to human affective information, with applications in autism communication, human and machine learning, health behavior change, marketing, advertising, customer service, and human-computer interaction. Picard has served on dozens of international and national science and engineering program committees, editorial boards, and review panels, including the Advisory Committee for the National Science Foundation's (NSF's) division of Computers in Science and Engineering (CISE), the Advisory Board for the Georgia Tech College of Computing, and the Editorial Board of User Modeling and User-Adapted Interaction: The Journal of Personalization Research. Picard interacts regularly with industry and has consulted for companies such as Apple, AT&T, BT, HP, i.Robot, and Motorola. She is a popular keynote speaker, and her group's achievements have been featured in forums for the general public such as The New York Times, The London Independent, National Public Radio, Scientific American Frontiers, ABC's Nightline and World News Tonight with Peter Jennings, Time, Vogue, Wired, Voice of America Radio, New Scientist, and BBC's "The Works" and "The Big Byte." Picard lives in Newton, Massachusetts with her husband and three energetic sons. |