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DTSTART;TZID=America/Toronto:20170531T180000
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SUMMARY:Women in Robotics: Building Smart Robots with AI
DESCRIPTION:Wednesday May 31\, 2017 at 6:00 p.m. hear about the work of Dr. Sanja Fidler\, Assistant Professor in Machine Learning and Computer Vision\, University of Toronto and Dr. Inmar Givoni\, Director of Machine Learning at Kindred Systems Inc.\, as part of “Women in Robotics: Building Smart Robots with AI”. \nDay & Time: Wednesday May 31\, 2017\n6:00 p.m. – 9:00 p.m. \nSpeakers: Dr. Sanja Fidler\, Assistant Professor\, Department of Computer Science\, University of Toronto\nDr. Inmar Givoni\, Director\, Machine Learning\, Kindred Systems Inc. \nLocation: To be Announced \nOrganizers: IEEE Toronto Engineering in Medicine and Biology Society (EBMS)\, IEEE Women in Engineering\, Society of Women Engineers Toronto \nRVSP: https://www.meetup.com/Get-Your-Bot-On-Robotics-Hackathon/events/240003715/ \nAgenda:\n6:00 pm – Networking\n6:30 pm – Welcome\n6:40 pm – Speakers\n7:30 pm – Panel Discussion – Women in Robotics\n8:00 pm – Networking\n9:00 pm – Close \nGet Your Bot On!\, its partners Society of Women Engineers Toronto\, IEEE Toronto Engineering in Medicine and Biology Society (EBMS) and IEEE Women in Engineering are pleased to bring you the ‘Women in Robotics Speaker Series’. This series celebrates the work of women in the field of robotics and provides a forum for them to share their work and career with the community. We invite all community members to come and learn\, participate in the discussion\, and celebrate the contribution of women to this field. \nBiography:\nDr. Sanja Fidler\, Assistant Professor\, Department of Computer Science\, University of Toronto \nDr. Sanja Fidler is an Assistant Professor at the Department of Computer Science\, University of Toronto. She is the recipient of the Amazon Academic Research Award (2017) and the NVIDIA Pioneer of AI Award (2016). Previously she was a Research Assistant Professor at TTI-Chicago a philanthropically endowed academic institute located in the campus of the University of Chicago. She completed her PhD in computer science at University of Ljubljana in 2010\, and was a postdoctoral fellow at University of Toronto during 2011-2012. \nIn 2010 she visited UC Berkeley. She has served as a Program Chair of the 3DV conference\, and as an Area Chair of CVPR\, EMNLP\, ICCV\, ICLR\, and NIPS. Together with Rich Zemel and Raquel Urtasun\, she received the NVIDIA Pioneer of AI award. \nHer main research interests are object detection\, 3D scene understanding\, and the intersection of language and vision. \nYou can find Dr. Fidler on the web at http://www.cs.toronto.edu/~fidler/ \nDr. Inmar Givoni\, Director\, Machine Learning\, Kindred Systems Inc. \nDr. Inmar Givoni is the Director of Machine Learning at Kindred\, where her team develops algorithms for machine intelligence\, at the intersection of robotics and AI. Prior to that\, she was the VP of Big Data at Kobo\, where she led her team in applying machine learning and big data techniques to drive e-commerce\, customer satisfaction\, CRM\, and personalization in the e-pubs and e-readers business. She first joined Kobo in 2013 as a senior research scientist working on content analysis\, website optimization\, and reading modelling among other things. Prior to that\, Inmar was a member of technical staff at Altera (now Intel) where she worked on optimization algorithms for cutting-edge programmable logic devices. \nInmar received her PhD (Computer Science) in 2011 from the University of Toronto\, specializing in machine learning\, and was a visiting scholar at the University of Cambridge. During her graduate studies\, she worked at Microsoft Research\, applying machine learning approaches for e-commerce optimization for Bing\, and for pose-estimation in the Kinect gaming system. She holds a BSc in computer science and computational biology from the Hebrew University in Jerusalem. She is an inventor of several patents and has authored numerous top-tier academic publications in the areas of machine learning\, computer vision\, and computational biology. She is a regular speaker at big data\, analytics\, and machine learning events\, and is particularly interested in outreach activities for young women\, encouraging them to choose technical career paths. \nYou can find Dr. Givoni on the web at http://www.inmarg.net/
URL:https://www.ieeetoronto.ca/event/women-in-robotics-building-smart-robots-with-ai/
LOCATION:To be Announced
CATEGORIES:Engineering in Medicine and Biology,Women in Engineering
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