Scientific Computing and Applied Mathematics
A workshop, held at the University of Pittsburgh,
May 5-6, 2027
Due to the prevalence of PDEs in engineering, physics, biology, medicine and the social sciences, numerical solutions have become an indispensable tool in scientific exploration. Their significance lies not only in their descriptive capacity, but also their predictive power to help us understand aspects of the physical world and its complex systems.
The workshop aims to promote the direct interaction between experts from different communities, link rigorous numerical analysis and analysis of PDEs with current problems of impact.
Specific topics may include:
- Structure preserving discretizations, emphasizing the enforcement of mass conservation
at the discrete level;
- Penalty and artificial compression methods;
- Partitioned and monolithic time-stepping, Structure-fluid interaction;
- Inverse Problems, Data-Driven Modeling & Scientific Computation.
There is no charge for attending the workshop.
Tentative Participant List
- Isabel Barrio Sanchez (University of Pittsburgh)
- Jeffrey Borggaard (Virginia Tech)
- Martina Bukač (Notre Dame)
- Yanzhao Cao (Auburn University)
- Victor DeCaria (Naval Nuclear Laboratory)
- Vince Ervin (Clemson University)
- Qiwei Feng (King Fahd University of Petroleum & Minerals)
- Max Gunzburger (Florida State University)
- Lili Ju (University of South Carolina)
- Jiabao Nie (Notre Dame)
- Wenlong Pei (Ohio State)
- Janet Peterson (Florida State University)
- Nanda Nechingal Raghunathan (University of Pittsburgh)
- Leo Rebholz (Clemson University)
- Maicon Ribeiro Correa (University of Campinas)
- Michael Schneier (Naval Nuclear Laboratory)
- Giselle Sosa Jones (Oakland University)
- Miroslav Stoyanov (Oak Ridge National Laboratory)
- Hoang Tran (Oak Ridge National Laboratory)
- Hans-Werner van Wyk (Auburn University)
- Noel Walkington (Carnegie Mellon)
- Guannan Zhang (Oak Ridge National Laboratory)
- Yanzhi Zhang (Missouri University of Science and Technology)
- Lizette Zietsman (Virginia Tech)
Organizers
John Burkardt, William Layton, Catalin Trenchea
Location
The conference will be held in TBA.
Map
A map of various landmarks on campus can be found here.
Speaker Information
Directions
The Pittsburgh International Airport (PIT) is 20.5 miles away from the University of Pittsburgh (25-45 minutes driving time depending on the time of day). There are several options to get to campus from the airport.- Express Shuttle Service (1-800-991-9890). A shuttle service between the airport and the downtown Pittsburgh and Oakland areas. The fare is $25 one way and $43 round trip.
- SuperShuttle (1-800-258-3826). Another shuttle service that serves the airport and the Oakland/Downtown area.
- Public Bus Transportation
with Port Authority Transit 28X Airport Flyer. The trip cost is $3.75 one way and
exact change is required. The bus runs every 30 minutes from the airport at gate #6,
and the duration of the trip is typically 50 minutes.
See the flyer
for more details.
The Transit app, available for smart phones, is useful for moving around the city using the bus system, with an up-to-date schedule of the buses, also allowing to buy tickets online.
Parking
If you need to park on campus, you might want to park at the following garage:- Soldiers and Sailors (SO): The rates are 0-1 hour $4; 1-2 hours $5; 2-4 hours $7; 4-6 hours $8; 6-8 hours $10; 8-10 hours $12; Over 10 hours $14.
- All garages are listed on this map.
Local hotels
University of Pittsburgh's preferred hotels.Dining Options
There are several dining options throughout the Oakland area. I personally recommend Ali Baba (Middle Eastern), Mario's (American), Butterjoint (American/Eastern European), or the Spice Island Tea House (Asian).Contact:
For questions please contact Catalin Trenchea.
Acknowledgement:
The organizers gratefully acknowledge the help and financial support provided by The University of Pittsburgh Mathematical Research Center