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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.

looking for a Mechanical / Systems / Aerodynamics engineering internship for Summer 2027 [email protected]GitHubResume
01

Chronos - desktop water tunnel

rotatable airfoilflow conditionercalendar displayclick for details
02

Beacon - taekwondo lamp and bookend

The finished lamp lit on a nightstand: a curved black arm rising from a wooden base into a lantern with a kicking figure on its panels, a flat spiral coil at the foot holding a row of books, and a strip of light along the base.click for details
5 MANUFACTURING PROCESSES PERS-BEACON-001
03

Rear wheel adapter

CAD of the redesigned adapter in place, its adjustment screws facing upward where a hex key can reach them.click for details
52%lighter, by CAD mass properties ECO-WHEEL-001
04

First-responder delivery drone

The quadrotor standing in grass at a flying field, carrying its payload mount and antenna, under an overcast sky.click for details
4 FLIGHTSautonomous, in test PERS-RESP-001
05

Tailsitter VTOL UAV

click for details
4 PROTOTYPESbuilt and flown 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
drawnA. SHAH
subjectSELECTED WORK
sheet1 of 1
views5
date2026-10-11
rev121008A