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ABCD
ABCD
Arjun Shah
Aerospace PhD candidate at Stanford. I research applications of machine learning to the conceptual design of aircraft, with a focus on uncertainty quantification. I also design and build hardware, from UAVs to hyper-efficient cars to desktop water tunnels.
01
Chronos - desktop water tunnel
rotatable airfoilflow conditionercalendar displayclick for details
02
Beacon - taekwondo lamp and bookend
click for details
5 MANUFACTURING PROCESSES
PERS-BEACON-001
03
Rear wheel adapter
click for details
52%lighter, by CAD mass properties
ECO-WHEEL-001
04
First-responder delivery drone
click for details
4 FLIGHTSautonomous, in test
PERS-RESP-001
05
Tailsitter VTOL UAV
click for details
4 PROTOTYPESbuilt and tested
AGL-TAIL-001
published work
- 01GRUBS: Data efficient surrogate modeling via gradient and uncertainty driven adaptive samplingAIAA Aviation
- 02Impact of technology maturation on advanced hydrogen fuel cell aircraftJournal of Aircraft
- 03Uncertainty quantification of machine learning models with adaptive sampling applicationsAIAA SciTech
- 04The critical plastocapillary number for a Newtonian liquid filament embedded into a viscoplastic fluidJournal of Non-Newtonian Fluid Mechanics
- 05Fuel cells for single-aisle regional aircraft: system configuration, performance, and costInternational Journal of Hydrogen Energy
- 06Modeling and characterization of a novel propulsion system for hydrogen fuel cell aircraftAIAA SciTech 2025
- 07Multi-fidelity analysis and reduced-order modeling of wing-body aerodynamicsAIAA Aviation
| drawn | A. SHAH |
| subject | SELECTED WORK |
| sheet | 1 of 1 |
| views | 5 |
| date | 2026-10-11 |
| rev | F32907B |