Team leaderAkiko Takeda
Research scientistPierre-Louis Lancelot Francois Poirion
Research scientistTakayuki Okuno
Postdoctoral researcherTianxiang Liu
Postdoctoral researcherMichael Ros Metel
Visiting scientistMirai Tanaka
Our team focuses on mathematical optimization. An optimization problem is the problem of finding the best solution from all feasible solutions. By formulating various real-world problems as optimization problems and solving them by efficient algorithms, we can find their reasonable solutions. Optimization algorithms are applicable not only to machine learning problems but also to various applications, e.g., of production research and industrial engineering. However some problems such as nonconvex optimization and uncertain optimization problems are difficult to solve. Currently, we are working on efficient algorithms for such difficult optimization problems.