Booz Allen Colloquium Fall Series to Feature Variety of Distinguished Speakers
The University of Maryland's Booz Allen Hamilton Distinguished Colloquium Series in Electrical and Computer Engineering (ECE) will feature eight speakers this fall, speaking on a wide range of subjects, from automatic speech recognition to computational imaging.
Human behavior is exceedingly complex. Its expression and experience are inherently multimodal, and are characterized by individual and contextual heterogeneity. The confluence of sensing, communication and computing is however allowing access to data, in diverse forms and modalities, that is enabling us understand and model human behavior in ways that were unimaginable even a few years ago. No domain exemplifies these opportunities more than that related to human health and well being. Consider for example the domain of Autism where crucial diagnostic information comes from manually-analyzed audiovisual data of verbal and nonverbal behavior. Behavioral signal processing advances can enable not only new possibilities for gathering data in a variety of settings--from laboratory and clinics to free living conditions—but in offering computational models to advance evidence-driven theory and practice.
Computational imaging uses unconventional optics to capture a coded image, and an appropriate algorithm to decode the captured image. This approach of manipulating images before there are recorded and processing recorded images before they are presented has three key benefits.
August 7, 2011