Applied Analysis Day
Description
The goal of this event is to bring together all nearby researchers (professors, graduate students, PDF) in this area, in order to exchange recent results, and to inspire new ideas and collaborations. This year the event will be host by Carleton University, and we will be in particular interested in the recent developments in Scientific Machine Learning, which is become a very hot topic in applied mathematics.
Schedule
08:45 to 09:00 |
Presentation
Location:room 4351 (MacPhail Room) |
09:00 to 10:00 |
Patrick Guidotti, University of California, Irvine Location:room 4351 (MacPhail Room) |
10:00 to 10:30 |
Frithjof Lutscher, University of Ottawa Location:room 4351 (MacPhail Room) |
10:30 to 10:50 |
Coffee Break
|
10:50 to 11:20 |
Stacey Smith?, University of Ottawa Location:room 4351 (MacPhail Room) |
11:20 to 11:45 |
Leila Gholizadeh Zivlaei, Carleton University Location:room 4351 (MacPhail Room) |
11:45 to 12:10 |
Adolfo Vargas-Jimenez, University of Ottawa Location:room 4351 (MacPhail Room) |
12:10 to 12:35 |
Alireza Khatib, Federal University of Amazonas Location:room 4351 (MacPhail Room) |
12:35 to 14:00 |
Lunch Break
|
14:00 to 15:00 |
Lu Lu, University of Pennsylvania Location:room 4351 (MacPhail Room) |
15:00 to 15:30 |
Yves Bourgault, University of Ottawa Location:room 4351 (MacPhail Room) |
15:30 to 15:50 |
Coffee Break
|
15:50 to 16:15 |
Laurence Ketchemen Tchouaga, University of Ottawa Location:room 4351 (MacPhail Room) |
16:15 to 16:40 |
Mingyao Cai, Carleton University Location:room 4351 (MacPhail Room) |
16:40 to 17:05 |
Mohammad Dehghan, Carleton University Location:room 4351 (MacPhail Room) |
17:05 to 17:10 |
Concluding Remarks
Location:room 4351 (MacPhail Room) |