The author of over 140 peer-reviewed scientific articles in multidimensional signal modeling, computer vision, pattern recognition, machine learning, and human-computer interaction, Rosalind W. Picard is known internationally for envisioning and conducting research in affective computing—computing that relates to, arises from, or deliberately influences emotion or other affective phenomena. Previously she pioneered research in content-based image and video retrieval. She and the members of her Affective Computing research group have designed and developed a variety of new sensors, algorithms, and systems for sensing, recognizing, and responding respectfully to human affective information, with applications in human and machine learning, health, business, and human-computer interaction.

Picard works closely with industry, and has consulted with companies such as Apple, AT&T, BT, HP, iRobot, and Motorola. Her group's work has been featured in international and national forums for the general public, such as The New York Times, The London Independent, Scientific American Frontiers, NPR's Tech Nation and The Connection, ABC's Nightline and World News Tonight with Peter Jennings, Time, Vogue, Voice of America Radio, New Scientist, Wired, and the BBC's The Works and The Big Byte. She holds a bachelor's degree in electrical engineering from the Georgia Institute of Technology, and master's and doctorate degrees, both in electrical engineering and computer science, from MIT. She is an IEEE Fellow.

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