Presto Researcher

Masashi Aono

Keio University
Associate Professor

Research Outline

Inspired by spatiotemporal dynamics of an amoeboid organism that adapts to the environment highly efficiently, I formulated the “amoeba model”, which outperforms dramatically one of the most fastest stochastic local search algorithms for searching for a solution to a representative combinatorial optimization problem, the satisfiability problem. By implementing the amoeba model using various nanodevices such as nanoelectronics elements and quantum dots, I aim at systematizing a methodology for developing ultracompact and ultralow-power-consumption devices, which are useful for diverse applications including protein structure prediction.