Ashutosh Saxena received his PhD in machine learning from Stanford University with Andrew Ng (advisor), Sebastian Thrun and Stephen Boyd. He received his MS in 2006 and PhD in 2009 from Stanford University, and his B.Tech. in 2004 from Indian Institute of Technology (IIT) Kanpur. He then joined Cornell University as a faculty in 2009. His research interests include machine learning, robotics and 3D computer vision. He has also won best paper awards in 3DRR, RSS, IEEE ACE and IROS. He was named a co-chair of IEEE technical committee on robot learning, and is an associate editor of the IEEE Transactions on Robotics. He was a recipient of National Talent Scholar award in India and Google Faculty award in 2011. He was named a Alred P. Sloan Fellow in 2011, named a Microsoft Faculty Fellow in 2012, received a NSF Career award in 2013, and received a Early Career Award at RSS 2014. He was named one of eight innovators in 2015 by Smithsonian Institution.
He has also developed learning algorithms that enable robots and devices to perform a variety of tasks. Examples include robots performing household chores such as unloading items from a dishwasher, placing items in a fridge, arranging a disorganized house, etc. He has developed learning algorithms for perceiving environments from RGB-D sensors and infer semantic labels, object affordances for tasks such as activity detection and anticipation. Previously, Ashutosh has developed Make3D (http://make3d.cs.cornell.edu), an algorithm that converts a single photograph into a 3D model. Tens of thousands of users used this technology to convert their pictures to 3D. His work has received substantial amount of attention in popular press, including the front-page of New York Times, BBC, ABC, New Scientist Discovery Science, and Wired Magazine.
Ashutosh Saxena has also co-founded several companies, where he developed machine learning technology to help unbanked buy online with deep learning, for in-video monetization, for building social intelligence from user's online interactions, and others. He was also a Chief Scientist at Holopad that built the 3D experience for Steven Spielberg's movie TinTin.