Kazuhisa Makino

The University of Osaka, The University of Tokyo

Papers

Total Citations

H-Index

About

Kazuhisa Makino’s research lies at the intersection of theoretical computer science, operations research, and systems engineering, with a particular focus on algorithmic geometry, combinatorial optimization, and the mathematics of safety and dependability. His most cited work, “How to Collect Balls Moving in the Euclidean Plane” (2004, 6 citations), tackles a fundamental motion-planning problem: coordinating multiple robots to intercept moving targets. By modeling balls with constant velocities and robots constrained to straight track-lines through the origin, Makino introduced novel algorithmic strategies for maximizing collection efficiency—a contribution that bridges theoretical geometry with practical robotics and surveillance applications. This work, along with its 2006 follow-up (5 citations), showcases his ability to formalize complex dynamic environments into tractable computational problems. Makino also contributed to the broader field of systems science through his editorial role in the proceedings of the 1st International Symposium SSR 2003 (2005, 5 citations), which explored mathematical modeling for safety, security, and dependability in socio-technical systems. Though his citation counts are modest, his research demonstrates a consistent focus on algorithmic decision-making under uncertainty, with implications for autonomous systems and risk management.