Joel Eldo

I am a focus driven aerospace engineer specializing in CFD and material science, transforming complex concepts into efficient, high-performance solutions.

/ ABOUT ME

I am a focus driven aerospace engineer specializing in CFD and material science, transforming complex concepts into efficient, high-performance solutions.

🇦🇪 🇮🇳 🇩🇪

 

I am XYZ
 

/ Experience

Space Exploration Intern At Lockheed Martin Corporation

Space Exploration Intern @ Lockheed Martin Corporation

Space Exploration Intern @ Lockheed Martin Corporation

Mechanical Engineering Intern @ Alghanim Cobra Teduga Sojitz Power and Water

Vehicle Body Engineer @ TUfast Moto Electric

Aerostructures Engineer @ HORYZN

/ Education

M.Sc Aerospace @ TU München, Munich, Germany

B.Tech Aerospace Engineering @ Amity University

/ PROJECTS

/ LATEST NEWS

2026

  • [February 2026] My paper “Sun-E: Dataset and Benchmark for Event-Based Sun Sensing” was accepted to the 2026 IEEE Winter Applications on Computer Vision Conference! A video summary is here and the associated project page is linked above. I will be attending the conference in-person in Tucson, reach out if you’d like to connect 🙂
  • [January 2026] Congratulations to my two bachelor’s students, Meriam Bousaadia and Yasmine Ben Salah, on completing their engineering project!

2025

  • [December 2025] Huge congratulations to my bachelor’s student, Gordon Hahmeyer, for defending his bachelor’s thesis. His topic was on event camera slewing strategies. A copy of his thesis is available here: (link).
  • [December 2025] I was interviewed by TUM about my experience on the analog astronaut mission! You can read the profile here: (link)
  • [November 2025] I was selected to be a Crew Engineer on a Analog Astronaut mission at the Mars Desert Research Station as part of a study being done by University of Colorado Boulder! I will be part of Crew 323, you can follow updates here: (link)
  • [October 2025] My recent work on spectral analysis for graph transformer interpretability was accepted to Learning on Graphs conference! This work was a collaboration with Professor Max Li and Sukhyeon Lim fom University of Michigan. The preprint of this work is available here: (link)

/ CONTACT US