Women in Robotics: Building Smart Robots with AI
Join us on May 31 to hear about the work of Dr. Sanja Fidler (http://www.cs.toronto.edu/~fidler/), Assistant Professor in Machine Learning and Computer Vision, University of Toronto and Dr. Inmar Givoni (http://www.inmarg.net/), Director of Machine Learning at Kindred Systems Inc. (https://www.kindred.ai/), both are experts in machine learning and are working on applications such as Human Robot Interaction and Industrial Robotics.
Dr. Fidler (http://www.cs.toronto.edu/~fidler/research.html)is an Assistant Professor at the Department of Computer Science, University of Toronto and researcher in object detection, 3D scene understanding, and the intersection of language and vision. Dr. Fidler explores the integration of vision and language in order to develop high-performance autonomous systems that can interact with the humans through language. She also develops holistic reasoning models for 3D scene understanding which incorporate 3D object detection, relationships between objects, scene type prediction and scene structure. She will share her research and it's applications to autonomous and robotic systems.
Dr. Givoni (http://www.inmarg.net/)is the Director of Machine Learning at Kindred Systems Inc., a company focused on giving machines human-like intelligence. Dr. Givoni is an accomplished researcher with an impressive publication portfolio and inventor of numerous patents. At Kindred, Dr. Givoni's team uses machine learning to improve the performance of robots that will work with people in e-commerce distribution centres. She will discuss the challenges of applying machine learning and AI to physical systems and how her previous experience applies to this rapidly moving field.
Dr. Fidler and Dr. Givoni will share their research and projects and will discuss their careers and the journey that brought them to this point. After their presentations there will be a panel discussion where they will share their opinions on the direction of this exciting field and on the opportunities, needs and challenges.
Get Your Bot On! (https://twitter.com/getyourboton), its partners Society of Women Engineers Toronto (https://www.meetup.com/Society-of-Women-Engineers-Toronto/?from=ref), IEEE Toronto Engineering in Medicine and Biology Society (EBMS) (http://toronto.ieee.ca/engineering-in-medicine-and-biology/) and IEEE Women in Engineering (http://toronto.ieee.ca/women-in-engineering-wie/)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.
Door Prizes! Win Tickets to FutureWorld: The Rise of Artificial Intelligence and Smart Machines (http://fitc.ca/event/futureworld/)
Enter to win 1 ticket to FutureWorld! Reply to the pinned Tweet/Post on Get Your Bot On’s Twitter account (@getyourboton (https://twitter.com/getyourboton)) OR Facebook account (@getyourboton (https://www.facebook.com/GetYourBotOn/)) answering the question: What would you ask a FutureWorld or GYBO speaker? All entries must include the hashtag #WinRSeries. 2 winners will be drawn from all entries and announced at the meetup. See our site for details (http://fitc.ca/event/futureworld/).
See you May 31!
Shout us out at the Twitter handles below or use the tag #WinRSeries and check out past events on Twitter at #WinRSeries (https://twitter.com/hashtag/winrseries?f=tweets&vertical=default&src=hash).
6:00 pm - Networking
6:30 pm - Welcome
6:40 pm - Speakers
7:30 pm - Panel Discussion - Women in Robotics
8:00 pm - Networking
9:00 pm - Close
Our Speakers for the Evening:
Dr. Sanja Fidler, Assistant Professor, Department of Computer Science, University of Toronto
Dr. 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[masked].
In 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.
Her main research interests are object detection, 3D scene understanding, and the intersection of language and vision.
You can find Dr. Fidler on the web at http://www.cs.toronto.edu/~fidler/
Dr. Inmar Givoni, Director, Machine Learning, Kindred Systems Inc.
Dr. 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.
Inmar 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.
You can find Dr. Givoni on the web at http://www.inmarg.net/
About Get Your Bot On!
Get Your Bot On! is a community of roboticists, engineers, designers and hobbyists in the Toronto area. GYBO! hosts meetups, workshops and hackathons for knowledge sharing and collaboration among its members. In September 2015 GYBO! hosted "Healthy: People and Environments", a 3-day hackathon for the design and prototyping of robots. Find out more at our website (https://getyourboton.com/) or follow us on Twitter (https://twitter.com/getyourboton).
About IEEE Toronto
IEEE Toronto is a community for electrical and computer engineers and related professions. We hold professional/technical meetings, tutorials, conferences, etc. for our members and guests, and recognize excellence through our awards program. With approximately 4000 members in the local area, and more than 50 yearly events, we are very active in serving the electrical engineering professionals at all levels. Find out more about the Engineering in Medicine and Biology Society (http://toronto.ieee.ca/engineering-in-medicine-and-biology/) chapter and the IEEE Women in Engineering (http://toronto.ieee.ca/women-in-engineering-wie/) group.
About Society of Women Engineers Toronto
Society of Women Engineers Toronto (SWE Toronto) connects and supports women engineers and engineering professionals in Toronto, enabling them to rise together as a community. Going beyond your average networking event, SWE Toronto encourages meaningful and engaging conversations through a series of meetups, speaker series and workshops. Join the Society of Women Engineers Toronto Meetup Group (http://meetu.ps/c/35k2y/mYNR6/f) or connect with them on their Facebook page (https://www.facebook.com/swetoronto/) and follow them on Twitter (https://twitter.com/SWE_Toronto).
This event is co-hosted with the IEEE Toronto Section, Engineering in Medicine and Biology Society (EMBS) (http://toronto.ieee.ca/engineering-in-medicine-and-biology/), Society of Women Engineers Toronto (https://www.meetup.com/Society-of-Women-Engineers-Toronto/?from=ref) and IEEE Women in Engineering (http://toronto.ieee.ca/women-in-engineering-wie/).
Events will begin at 6 pm with networking. Presentations will start at 6:30 and go to approximately 8:00. There will be time for Q&A and knowledge sharing.