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Machine Learning for Science & Engineering
Workshop | UW Seattle Campus | June 24-25, 2024
Physics-informed Machine Learning (ML) continues to emerge as a leading paradigm that integrates artificial intelligence with engineering dynamic systems. This approach provides new capabilities in real-time sensing, learning, decision-making, and predictions that are ethical, efficient, reliable, safe, and imbued with uncertainty quantification. The foundations of physics-informed ML are rooted in four key disciplines: (i) control theory, (ii) probability and statistics, (iii) optimization, and (iv) dynamical systems (modeling). The integration of all four disciplines is critical for the development of ML algorithms that can be leveraged by engineered systems. Establishing rigorous mathematical connections between these disciplines is a driving inspiration for our efforts in reframing the foundations of ML for the engineering sciences.
 
Registration
Registration is now closed.
Target Audience: This workshop brings together members of the AI Institute in Dynamic Systems with the goal of the continued development of teams and their work. This event coincides with our annual NSF Site Visit.
Target Audience: This workshop brings together members of the AI Institute in Dynamic Systems with the goal of the continued development of teams and their work. This event coincides with our annual NSF Site Visit.
 
Schedule
Monday, June 24
9:45am Recommended arrival time
10 am - 10:50 am Panel: Graduate-level Internships
11 am - 11:50 am Panel: Academic Job Market
12:30 pm - 2:00 pm Poster Session & Lunch*
2:30 pm - 3:30 pm Hackathon Intro
3:45 pm - 4:15 pm Closed Session*
9:45am Recommended arrival time
10 am - 10:50 am Panel: Graduate-level Internships
11 am - 11:50 am Panel: Academic Job Market
12:30 pm - 2:00 pm Poster Session & Lunch*
2:30 pm - 3:30 pm Hackathon Intro
3:45 pm - 4:15 pm Closed Session*
Tuesday, June 25
9 am - 12 pm Hackathon
12 pm - 2 pm Break
2 pm - 4 pm Hackathon Continued
4:30 pm - 5:30 pm Networking Session
9 am - 12 pm Hackathon
12 pm - 2 pm Break
2 pm - 4 pm Hackathon Continued
4:30 pm - 5:30 pm Networking Session
*NSF Site Visit Event
Schedules are subject to change - please check back for updates.
 
On-Site Workshop Details
 
Local Area
 
Travel Guidance
 
Funding
 
Questions
Please feel free to contact us with any questions.
 
Organizers
Many thanks to Burak Boyacıoğlu, Hangjun Cho, Andrei Klishin, Christian Lagemann, Esther Lagemann, Mel Mashiku, Sajeda Mokbel, Prerna Patil for their efforts toward this event. Special thanks to our panelists as well for their gift of time and insights!
 
Past Events
 
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The AI Institute in Dynamic Systems is supported by NSF.