Speakers
Roads & Maps
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Buildings & Populations
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Land Use & Agriculture
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Workshop Program (Room 150G)
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Speakers
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Ramesh Raskar Ramesh Raskar is an Associate Professor at MIT and directs the Camera Culture research group. His focus is on building sensory and computational platforms, and explores interfaces between social systems and cyber-physical systems. These interfaces span research in physical (e.g., sensors, health-tech), digital (e.g., automating machine learning) and global (e.g., geomaps, autonomous mobility) domains. He received the Lemelson Award (2016), ACM SIGGRAPH Achievement Award (2017), DARPA Young Faculty Award (2009), Alfred P. Sloan Research Fellowship (2009), TR100 Award from MIT Technology Review (2004) and Global Indus Technovator Award (2003). He has worked on special research projects at Google [X] and Facebook and co-founded/advised several companies.
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Raquel Urtasun Urtasun is the Head of Uber ATG Toronto. She is also an Associate Professor in the Department of Computer Science at the
University of Toronto, a Canada Research Chair in Machine Learning and Computer Vision and a co-founder of the Vector Institute for AI. Prior to this, she was an Assistant Professor
at the Toyota Technological Institute at Chicago (TTIC), an academic computer science institute affiliated with the University of Chicago. She was also a visiting professor at ETH
Zurich during the spring semester of 2010. She received her Ph.D. degree from the Computer Science department at Ecole Polytechnique Federal de Lausanne (EPFL) in 2006 and did her
postdoc at MIT and UC Berkeley. She is a world leading expert in machine perception for self-driving cars. Her research interests include machine learning, computer vision, robotics
and remote sensing. Her lab was selected as an NVIDIA NVAIL lab. She is a recipient of an NSERC EWR Steacie Award, an NVIDIA Pioneers of AI Award, a Ministry of Education and Innovation
Early Researcher Award, three Google Faculty Research Awards, an Amazon Faculty Research Award, a Connaught New Researcher Award and two Best Paper Runner up Prize awarded at the
Conference on Computer Vision and Pattern Recognition (CVPR) in 2013 and 2017 respectively. She is also an Editor of the International Journal in Computer Vision (IJCV) and has
served as Area Chair of multiple machine learning and vision conferences (i.e., NIPS, UAI, ICML, ICLR, CVPR, ECCV).
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Stefano ErmonStefano Ermon is an Assistant Professor of Computer Science in the CS Department at Stanford University, where he is affiliated with the Artificial Intelligence Laboratory, and a fellow of the Woods Institute for the Environment. His research is centered on techniques for probabilistic modeling of data, inference, and optimization, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability. He has won several awards, including four Best Paper Awards (AAAI, UAI and CP), a NSF Career Award, an ONR Young Investigator Award, a Sony Faculty Innovation Award, an AWS Machine Learning Award, and the IJCAI Computers and Thought Award. Stefano earned his Bachelor’s and Master degree in Electrical and Electronics Engineering at University of Padova in 2006 and 2008, respectively. He earned his Ph.D. in Computer Science at Cornell University in 2015.
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HakJae KimDr. Hakjae Kim received his Ph.D. in mechanical engineering from the University at Buffalo, State University of New York specializing in robust nonlinear estimation theory and practice. After his Ph.D., He served as IC postdoctoral fellow supported by Office of Director of National Intelligence at the University of Florida from 2010 to 2012. His research was conducted on developing new and more efficient algorithms for vision-based nonlinear geo-location estimation from an arbitrary hand-held video. There, he received Gator Innovator award for his contribution.
Before joining IARPA, Hakjae worked as a research scientist for NGA Research where he led several research projects in the area of computer vision and machine learning. He received NSG Imagery and Geospatial Science Team of the Year Award and Ambassador Award in recognition of his dedication and contribution to the Imagery and Geospatial Science tradecraft. Dr. Kim joined IARPA in 2015 as a Program manager and is managing several AI research programs and public challenges including Creation of Operationally Realistic 3D Environment (CORE3D) Program, Finder Program, IARPA Muti-view Stereo 3D Mapping Challenge and functional Map of the World Challenge. Under his leadership, his team received the highly-prized DNI IC Team of the Year Award for 2017. Only one team award is given annually throughout the Intelligence Community. |
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Nebojsa JojicComing soon
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Gopal ErinjippurathGopal manages the Imagery Analytics Engineering team at Planet Inc. His background is in the development of foundational technology that powers products in the imaging and machine learning space. He is known for agile engineering execution from concept to scalable high quality products.
Gopal’s recent experience is in industry-leading analytics products, from early concept demonstrations to serving multiple customers at Captricity and Harvesting, where he advises the CEO. Previously, he led the engineering development of Dolby’s first imaging display product, the Emmy Award winning Dolby Professional Reference Monitor and technologies for high dynamic range video reproduction in Dolby Vision, now in the iPhone X/8/8s. Gopal holds an MS in Electrical Engineering from University of Southern California and a BTech from Kerala University. He completed the Ignite Program, connecting technologists with new commercial ventures, at the Stanford Graduate School of Business. |