Workshop III: Fusion Device Design and Engineering - IPAM

Workshop III: Fusion Device Design and Engineering

Part of the Long Program Multi-Fidelity Methods for Fusion Energy
May 4 - 8, 2026

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, May 4, 2026

Morning Session

Session Chair AM: Elizabeth Paul
08:00-08:55
Check-In/Breakfast (Hosted by IPAM)
08:55-09:00
Welcome and Opening Remarks
10:00-10:15
Break
10:15-11:05
11:15-11:30
Break
11:30-12:20

Afternoon Session

12:30-14:30
Lunch (on your own)
Session Chair PM: Cami Collins
14:30-15:20
15:30-15:45
Lightning Poster Round
15:45-17:00
Poster Session & Reception (Hosted by IPAM)

Tuesday, May 5, 2026

Morning Session

Session Chair AM: Antoine Cerfon
08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:50
Takeo Hoshi (National Institute for Fusion)
General data-analysis framework ODAT-SE and its applications
10:00-10:15
Break
11:15-11:30
Break
11:30-12:20

Afternoon Session

12:30-14:30
Lunch (on your own)
Session Chair PM: Lise-Marie Imbert-Gerard
14:30-15:20
Georg Stadler (New York University)
Title not available
15:30-16:00
Break
16:00-16:50
Discussion

Wednesday, May 6, 2026

Morning Session

TBA
08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
10:00-10:15
Break
10:15-11:05
Pablo Rodriguez-Fernandez (Massachusetts Institute of Technology)
Designing tokamak core plasmas: from scaling laws to first-principles simulations
11:15-11:30
Break
11:30-12:20

Afternoon Session

12:15-12:20
Group Photo
12:20-14:30
Lunch (on your own)
Session Chair PM: Archis Joglekar
15:30-16:00
Break
16:00-16:50
Discussion

Thursday, May 7, 2026

Morning Session

Session Chair AM: Thomas Kruger
08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
10:00-10:15
Break
10:15-11:05
Egemen Kolemen (Princeton Plasma Physics Lab)
TBA
11:15-11:30
Break
11:30-12:20

Afternoon Session

12:30-14:30
Lunch (on your own)
Session Chair PM: Alan Kaptanoglu
14:30-15:20
15:30-16:00
Break
16:00-16:45
Benjamin Peherstorfer (Courant Institute of Mathematical Sciences)
Two-Parameter Flows for Learning Population Dynamics