Stanford University
Showing 31-34 of 34 Results
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David G Stork
Adjunct Professor, Symbolic Systems Program
BioDavid G. Stork teaches and performs research in several disciplines:
• Rigorous computer image analysis of fine art paintings and drawings
• Computational sensing and imaging with metasurface optical elements
• Applications of computer algebra
He is a graduate in Physics from MIT and the University of Maryland, and studied Art History at Wellesley College. He was Chief Scientist of the American arm of the $15B international Ricoh Company and Rambus Fellow at Rambus, Inc. He has held faculty positions in Physics, Mathematics, Computer Science, Statistics, Electrical Engineering, Computation & Mathematical Engineering, Neuroscience, Psychology, and Art and Art History variously at Wellesley and Swarthmore Colleges, Clark, Boston, and Stanford Universities, and the Technical University of Vienna. He is a Fellow of IEEE, OSA, SPIE, IS&T, IAPR, IARIA, AAIA, IAII, and a Senior Life Member of ACM and was a 2023 Leonardo@Djerassi Fellow. He holds 64 US patents, and has published over 220 peer-reviewed scholarly articles and nine books/proceedings volumes, including "Pattern classification" (2nd ed.), "Seeing the light: Optics in nature, photography, color, vision, and holography," "HAL's Legacy: 2001's computer as dream and reality," and "Pixels & paintings: Foundations of computer-assisted connoisseurship." -
Meghan Sumner
Associate Professor of Linguistics
BioI am an Associate Professor of Phonetics at Stanford. My work simplified: I take sound patterns that exist in languages and associated variation and usage patterns (who says what, how and when), and investigate the social meaning humans associate with these patterns (and how they come to make these associations). I care about how, cognitively, this social information affects attention, perception, recognition, memory, and comprehension. Then, I take all of that, and investigate the areas in which language and society interact and highlight how this advances theory, but also how stereotype and bias are reinforced through spoken language. Much of what we currently know about speech variation, language and cognition stems from experiments that probe one component of this process at time, leave out social factors and experience, use stimuli from normative white talkers, and are quite distant from the interdisciplinary and diverse research needed to advance theories and address issues relevant to society. My general focus is on understanding the mechanisms and representations that underlie spoken language understanding and how they interact across various listener and speaker populations in a social and dynamic world.
