Rogerio Schmidt Feris is a principal scientist and manager at the MIT-IBM Watson AI lab. He joined IBM in 2006 after receiving a Ph.D. from the University of California, Santa Barbara. He has also worked as an Affiliate Associate Professor at the University of Washington and as an Adjunct Associate Professor at Columbia University. He has authored over 140 technical papers and has over 40 issued patents in the areas of computer vision, multimedia, and machine learning.
His work has not only been published in top AI conferences (e.g., NeurIPS, CVPR, ICLR, ICCV, ECCV), but has also been integrated into multiple IBM products, including Watson Visual Recognition, Watson Media, and Intelligent Video Analytics. He led the development of an attribute-based visual search system used by many police departments around the world, as well as a system to produce auto-curated highlights for the US Open, Wimbledon, and Masters tournaments, which were seen by millions of people. Rogerio’s work has been covered by the New York Times, ABC News, CBS 60 minutes, and many other media outlets. He is an IBM Master Inventor, has received a prestigious Corporate award in 2019, an IBM Outstanding Innovation Award in 2011, multiple IBM Research Accomplishment Awards, and was part of the team that recently achieved top results in highly competitive benchmarks such as the KITTI and TrecVid evaluations.
Rogerio has served as a global co-lead for the Joint Program between Research and Watson Visual Services, as well as for the multimodal perception area at IBM, coordinating efforts across labs worldwide. He currently leads the IBM-MIT team as a PI for Darpa Learning with Less Labels, and the IBM-Purdue team as a PI for Iarpa DIVA. He is an Associate Editor of TPAMI, has served as a Program Chair of WACV 2017, and as an Area Chair of NeurIPS, CVPR, ICLR, ICML, ECCV, and ICCV. Rogerio is originally from Brazil, and has contributed to the LatinX in AI events.