Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
Part of an interdisciplinary research team across three universities studying algorithmic and physical foundations of collective behaviors (e.g., fish schooling, ant rafting/bridging)
Focused on applying naturally occurring emergent phenomena to programmable matter
Research expertise spans distributed algorithms, stochastic processes, robotics, and soft matter
Studies Self-Organizing Particle Systems (SOPS) through theory/proofs, modeling, simulation, and physical experiments
Collaborates between Arizona State University and Paderborn University on SOPS under the amoebot model from a distributed computing theory perspective
Collaborates among Arizona State University, Georgia Tech, MIT, and Northwestern University on harnessing phase transitions and Markov chain analysis to induce emergent behavior in simple analog robots
Collaborates among Arizona State University, TU Berlin, and UIUC on designing approximation algorithms for hard network optimization problems with provable guarantees