Ethan Joerz
Computer science
Hometown: Mesa, Arizona, United States
Graduation date: Spring 2024
FURI | Spring 2024
Canonicalizing Amoebot Leader Election Algorithms
Leader election is a fundamental problem in distributing computing theory, in which systems must determine a unique leader processor. An area where leader election plays an important role is programmable matter — substances that can change their properties based on inputs. The model being looked at, the Amoebot model, has many leader election algorithms proposed, but since the model was not standardized until 2022, the assumptions of different algorithms can be inconsistent. This project intends to standardize the assumptions of leader election algorithms, ensure the validity of their proofs under standard assumptions, and make clear comparisons between the algorithms.
Mentor: Joshua Daymude
It’s hip to be square.
Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future.
Right click the image to save it to your computer.