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.
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
Please check back for updates and timing on the following activities:
- Hackathon
- Poster Session (limited participation)
- 2 Panel Sessions on themes of Careers & Internships
- Networking Activity
Participation
We will reach out to each partner institute to confirm participants. Feel free to contact us with any questions.
 
On-site Workshop Details
Please check back closer to workshop dates.
 
Travel Guidance
 
Local Area
 
Funding
Travel funding is limited to faculty, students, and postdocs that are members of the AI Institute in Dynamic Systems. (Members, you do not need to apply for funding.) A suggested limit is $1,500, however this is not a hard limit as we recognize some members may be traveling longer distances. Travel costs such as hotel, flight, and ground transportation are generally reimbursable. Please follow the guidance below before booking travel:
- Per diem is a daily limit that is allowed to be spent on lodging and meals based on location. (See per diem rates.). Note that lodging at one of the official workshop hotels meets per diem requirements.
- The Fly America Act is a federal policy that mandates the use of U.S. certificated air carriers for federally funded international travel. Additionally, upgraded tickets/seats/class are not reimbursable.
- We cannot reimburse costs associated with personal travel and/or other business-related trips that may be adjacent to this trip. If you have a unique travel situation, please contact us in advance for guidance.
- Per UW travel reimbursement policies, travelers are generally reimbursed allowable expenses arriving one day before the start of official business and leaving one day after official business has ended. (June 23-26 in this instance.) If personal time is added to your trip, we strongly recommend that at the time of purchase, you create and save a flight comparison showing business dates only. Please know that whichever is lower will be reimbursed. Lodging and/or other costs associated with any personal time, destinations, or items will not be reimbursed.
- Please save all receipts and the itemized final hotel folio for the reimbursement process.
- Bundled packages are not recommended as itemized receipts are required!
- Please see non-reimbursable examples.
- Reimbursement is processed after the trip and may take approximately 2-3 weeks. Please use this form to submit your request.
Questions
Please feel free to contact us with any questions.
 
Past Events
 
The AI Institute in Dynamic Systems is supported by NSF.