NSF Workshop on Exuberance of Machine Learning in Transport Phenomena
Workshop
With the success of Machine Learning (ML) in computer vision, natural language processing, autonomous vehicles, and many other disciplines, it is not surprising to witness its popularity within the computational science and engineering community. Both conventional machine learning and the state of the art deep learning methods have proven effective in transport phenomena, and it is expected that the rate of progress would be even faster in the near future.
The objective of this workshop is to assess the state of progress in development, implementation and application of ML in transport phenomena. Of particular interest are applications in fluid dynamics, including turbulence, heat & mass transfer, multi-phase flows, biological transport, combustion and other reactive flows. Considering the complexity of such phenomena, the question is to what to expect from ML and to what extend such learnings can assist in modeling and inference of transport phenomena.
Distinguished scholars with expertise in both machine learning and transport phenomena are invited to discuss their recent results, and to identify the paths to be taken in future to merge ML into transport modeling. Audience participation in daily panel discussions is encouraged, and poster presentations are welcome.
Invited Speakers
Please click here to see galleryMichael Brenner | Harvard University |
Steven Brunton | University of Washington |
Kevin Carlberg | University of Washington |
Weinan E | Princeton University |
Sharath Girimaji | Texas A&M University |
Gianluca Iaccarino | Stanford University |
George Karniadakis | Brown University |
Michael Mahoney | University of California, Berkeley |
Mujeeb Malik | NASA Langley Research Center |
Zhuyin(Linau) Ren | Tsinghua University |
Justin Sirignano | University of Illinois at Urbana-Champaign |
Karen Willcox | University of Texas at Austin |
Program Committee
Please click here to see galleryAmir Barati Farimani, Carnegie Mellon University, barati@cmu.edu. Tel: 412-268-1997. |
Ali Beskok, Southern Methodist University, abeskok@smu.edu Tel: 214-768-1403. |
Peyman Givi, University of Pittsburgh, pgivi@pitt.edu Tel: 412-889-8687. |
Travel
Dallas is served by two airports. The nearest one to SMU is Dallas Love Field (DAL), which is 4 miles to the SMU Campus with an approximate drive time of 20 minutes. DAL is a smaller airport, which mainly serves Southwest Airlines in addition to Delta Airlines. The second airport is Dallas-Fort Worth International Airport (DFW) which is about 23 miles from the hotel, with an approximate drive time of 40 minutes. DFW is a hub for American Airlines and serves almost all major airlines in the US.
Publication
We will have technical presentations, with subsequent publication of the workshop proceedings.
Registration & Poster Presentations
Early registration (prior to January 31, 2020):
- Professionals: $200
- Students & Postdocs: $100
Late registration (after January 31, 2020):
- Professionals: $300
- Students & Postdocs: $150
Please click here to register for the Workshop and for Poster Presentation.