Welcome to my website! My name is Sydney Dolan. I recently completed my PhD under the supervision of Professor Hamsa Balakrishnan in DINAMo in the AeroAstro Department at the Massachusetts Institute of Technology. My doctoral area of expertise is in the development of autonomous collision avoidance and coordination algorithms for multi-agent systems like satellites.
I presently work as a postdoc at Technical University of Munich where I work on event camera based computer vision algorithms for space situational awareness. My research interests include: multi-agent reinforcement learning, graph-theoretic multi-agent coordination, and spacecraft perception and pose estimation. I bring a unique perspective to machine learning research, motivated by the challenging control, coordination, perception, and resource allocation problems that exist in the space industry. My work is interdisciplinary, spanning space systems, planetary science, and machine learning fields.

Learn More About My Research Projects!
Projects of My Supervised Students


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)
- [October 2025] My masters student, Antonio Junco de Haas, defended his master’s thesis! His topic was on lossless event compression, and a copy of his thesis can be found here: (link) and the associated presentation can be found here (link)
- [August 2025] The 2nd Annual Coordination and Cooperation in Multi-Agent Reinforcement Learning (CoCoMARL) workshop at the Reinforcement Learning conference was a success! Thank you to all the wonderful people that attended, and to all the other amazing co-organizers. The workshop website is here.
- [July 2025] My recent journal paper on multi-agent reinforcement learning for satellite coordination is now published in the Journal of Guidance, Control, and Dynamics! The link is here
- [May 2025] I gave a talk with the University of Michigan LATTICE Group!
- [April 2025] I gave a talk with the WeLEAP Aerospace group!
- [March 2025] The recording of my PhD defense is now available. You can watch it on Youtube here: https://youtu.be/WJhU9ZeHSjo
- [March 2025] I was interviewed by Universe Today to talk about my research. Thank you so so much to Frasier for having me, the link to the interview is here.
- [March 2025] Our paper “Design and Analysis of an Event Camera Payload for Space-Based Object Detection on the EventSat 6U CubeSat Mission” was accepted to the 15th IAA Symposium on Small Satellites in Berlin.
- [February 2025] My paper “Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication” is now available on arxiv here. This paper was accepted to the 2025 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) in Detroit.
- [January 2025] I’m very flattered to share I was profiled by MIT News! The attached story is here.
Archived News can be found here: Link

