Webinar: Autonomy under Uncertainty: Learning for Safety and Coordination by Prof. Maryam Kamgarpour, ECE, University of British Columbia, Vancouver, BC
Webinar: Autonomy under Uncertainty: Learning for Safety and Coordination
Speaker: Prof. Maryam Kamgarpour, ECE, University of British Columbia, Vancouver, BC
Organizer: IEEE Joint CS - RAS - SMC Chapter of Vancouver Section
Dear All,
We are pleased to invite you to the following webinar in organization of IEEE Joint CS - RAS - SMC Chapter of Vancouver Section. This free webinar is open to everyone. Please feel free to invite your friends and colleagues. We would appreciate everyone to register using the link from this notice. The link to webinar will be shared to all registrants prior to the event. We expect a higher turnout - please consider registering early to save your spot.
Thank you,
IEEE Joint CS - RAS - SMC Chapter of Vancouver Section
Date and Time
Location
Hosts
Registration
- Date: 31 Mar 2021
- Time: 02:30 PM to 04:00 PM
- All times are (GMT-08:00) PST8PDT
- Add Event to Calendar
- Vancouver, British Columbia
- Canada
- Starts 01 March 2021 01:00 AM
- Ends 29 March 2021 03:00 PM
- All times are (GMT-08:00) PST8PDT
- No Admission Charge
Speakers
Dr. Maryam Kamgarpour of University of British Columbia, Vancouver, BC
Autonomy under Uncertainty: Learning for Safety and Coordination
We began using robots to help us with simple and repetitive tasks. Now, we are automating increasingly safety-critical and complex systems: power grids, transportation systems, search and rescue missions, financial markets, etc. I present two of my research directions addressing some of the challenges these autonomous systems exhibit, namely, increased uncertainties due to imperfect models or due to the large-scale interactions of the autonomous systems. First, I discuss control design for ensuring system safety. I focus on algorithms with provable guarantees in the face of increased uncertainties on the one hand, and the availability of data on the other. Second, I discuss coordinating decision-making of a large number of interacting autonomous systems. Here, I address learning-based approaches, so as to account for availability of local data. I conclude with reflecting on open directions.
Biography:
Dr. Maryam Kamgarpour holds a Doctor of Philosophy in Engineering from the University of California, Berkeley and a Bachelor of Applied Science from University of Waterloo, Canada. Her research is on safe decision-making and control under uncertainty, game theory and mechanism design, mixed integer and stochastic optimization and control. Her theoretical research is motivated by control challenges arising in intelligent transportation networks, robotics, power grid systems, financial markets and healthcare. She is the recipient of NASA High Potential Individual Award, NASA Excellence in Publication Award, the European Union (ERC) Starting Grant and NSERC Discovery Accelerator Grant.
Agenda
Date and Time: Wednesday March 31st, 2021 at 2:30-4:00pm.
Webinar. Free Event. Everyone Welcomed. Please invite your friends and colleagues. Registration required.
Webinar Link Info to be emailed upon registration.