NSF Workshop on Exuberance of Machine Learning in Transport Phenomena

February 10 — 11, 2020

Dallas, TX


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

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Michael BrennerHarvard University
Steven BruntonUniversity of Washington
Kevin CarlbergUniversity of Washington
Sharath GirimajiTexas A&M University
Gianluca IaccarinoStanford University
George KarniadakisBrown University
Michael MahoneyUniversity of California, Berkeley
Mujeeb MalikNASA Langley Research Center
Zhuyin(Linau) RenTsinghua University
Justin SirignanoUniversity of Illinois at Urbana-Champaign
Karen Willcox University of Texas at Austin

Program Committee

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Amir 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.


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.


We will have technical presentations, with subsequent publication of the workshop proceedings.

Registration & Poster Presentations

Registration Closed. We are at the Capacity Limit.

Agenda and List of Posters

Please click here to view agenda.

Please click here to view list of posters.


The workshop will be held at Martha Proctor Mack Ballroom, located on the third floor of the Umphrey Lee Center at 3300 Dyer Street, Dallas, TX in Southern Methodist University.

Please click here or here to download campus map.


The following hotels are within waking distances from the Umphrey Lee Center, and are recommended:

  1. Hotel Lumen (Discount code: SMV) 5 minutes walking distance to the conference center
  2. Magnolia Hotel Dallas Park Cities. (Discount code: SMUF) 15 minutes walking distance to the conference center
  3. The Highland Dallas (For discount call hotel) 15 minutes walking distance to the conference center
  4. Doubletree Campbell Center (Corporate Acct. 0560027743) 2 miles to the conference center
  5. Hampton Inn Suites Dallas Central Expressway/Northpark Area (Corporate Acct. 0002700605) 2 miles to the conference center
  6. Courtyard by Marriott Central Expressway (Discount code: SOU) 2.5 miles to the conference center
  7. Other Area Hotels


Please contact any of the members of the Program Committee for general questions. For questions regarding local logistics and registration, please contact Ali Beskok (abeskok@smu.edu).