Surya Ganguli

Surya Ganguli (born Kolkata, India) is a university professor at Stanford University and a visiting research professor at Google. Ganguli is primarily known for his work on neural networks and deep learning, although he has also published papers on theoretical physics. He presently runs the Neural Dynamics and Computation Lab at Stanford, where he aims to reverse engineer how networks of neurons and synapses cooperate across multiple scales of space and time to facilitate sensory perception, motor control, memory, and other cognitive functions. He is also known for being a prolific public speaker and lecturer, having been invited to give over 200 talks at various universities, institutes, workshops, conferences, and symposiums since 2005.

Ganguli has received numerous awards for his work in the field including a National Science Foundation CAREER Award, the Simons Investigator Award in MMLS, the McKnight Scholar Award, the James S. McDonnell Foundation Scholar Award in Human Cognition, a Sloan Research Fellowship, a Swartz Fellowship, the Burroughs Wellcome Career Award at the Scientific Interface, and the Terman Award. His publications have also won a number of conference awards, such as the NIPS 2014 Outstanding Paper award and the Cosyne 2014 award for the top ranked abstract. Finally, Ganguli has won a number of awards unrelated to his academic publications, such as the Berkeley Outstanding Graduate Instructor award and the National Council of Teachers of English Award in Writing. Provided by Wikipedia