Artificial Intelligence: Machine Learning, Robotics, Computer Vision / Perception, Large-scale device networks.
Ashutosh Saxena received his PhD in Machine Learning from Stanford University with Andrew Ng (advisor), Sebastian Thrun and Stephen Boyd. He built Make3D (machine learning to convert a single picture into 3D model) and a robot that unloads items from a dishwasher. He then joined Cornell University as a Faculty in 2009, where he founded the Robot Learning Lab. He was a recipient of Google Faculty award in 2011, a NSF Career award in 2013, and an Early Career Award at RSS 2014. He was named a Alred P. Sloan Fellow in 2011, a Microsoft Faculty Fellow in 2012, and was named one of eight innovators in 2015 by Smithsonian Institution.
Currently he is the Director of the RoboBrain project, where a multi-university team is building a large-scale knowledge engine for robots. The knowledge learned through different mechanisms (supervised or unsupervised deep learning) and from different sources, including Internet data (such as images, videos) and robot's interactions, is pushed into RoboBrain and shared across different robots in the universities (see below).
For an informal description of his research projects, please see some popular press releases.
Ashutosh Saxena has also co-founded several companies, where he developed machine learning technology to help unbanked buy online, monetize the videos, build social intelligence from user's online interactions, and others.