Akiko Takeda
Akiko Takeda (Ph.D.)


  • Team leader
    Akiko Takeda
  • Research scientist
    Pierre-louis Poirion
  • Postdoctoral researcher
    Janharold Alcantara
  • Postdoctoral researcher
    Andi Han
  • Visiting scientist
    Takayuki Okuno
  • Visiting scientist
    Mirai Tanaka
  • Visiting scientist
    Benjamin Poignard
  • Part-time worker II
    Tomoya Kamijima


Laboratory's photo

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.

Main Research Field
Computer Science
Research Field
Engineering / Economics & Business
Research Subjects
Mathematical Optimization
Nonconvex Optimization
Laboratory Website URL

Introduction Video

Continuous Optimization Team (PI: Akiko Takeda) thumbnails

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