Dean of the Graduate School of Information Science and Electrical Engineering

Dean of the Faculty of Information Science and Electrical Engineering

Doctor of Engineering, Master of Engineering

No

Control Engineering, Systems Engineering

01years01months

Research activities: Systems are appropriately operated by a series of operations: data acquisition, analysis, decision, and manipulation. When we target, rather than individual machine or devices, large-scale complex systems with uncertainties originated from human activities or weather conditions, appropriate operation becomes difficult. Aiming at developing optimization and learning techniques that are useful to deal with such difficult systems and their applications to energy management systems, I have been and am conducting research on improvement of evolutionary computation and reinforcement learning techniques, and on data analysis, modelling, operation planning and control that contribute to better energy management.
Educational activities: Through lectures on control engineering, systems engineering, intelligent control and applied linear algebra, I try to equip students with abilities for systems-approach-based solution of problems. I also make efforts to educate students through research supervision so that they can find and solve problems on their own.
Activities for society: As a member of administration and surveying committees in institutes and societies, I have made some contribution to activities of the institutes and exchanges of information between researchers. I also conduct joint research with research institutes and companies.

Research Interests

• Research on inverse reinforcement learning
  keyword : inverse optimization, decision-making, modeling, behavior guidance, personalization
  2018.04.
• Evolutionary computation
  keyword : optimization, learning classifier systems, interactive optimization, differential evolution
  2011.04.
• Reinforcement learning
  keyword : Reinforcement learning, Machine learning, Automatic control
  2001.04Reinforcement learning.
• Research on energy management systems
  keyword : Electrical power, Renewable energy, Energy consumption behaviours, Optimization, Big data
  2013.03.
• Demand-supply control in power systems with a large number of photovoltaic systems installed
  keyword : Global warming, Photovoltaic systems, Power systems, Demand-supply control, Insolation prediction, Optimization
  2010.07～2018.03.
• Solution and its applications of optimization problems with unknown parts and/or uncertainties
  keyword : Optimization, Decision making, Uncertainties
  2008.04～2016.03Distributedlly evaluated multi-objective optimization. Multi-objective optimization problems aim at optimization of multiple objective functions. Their solution methods usually assume that a single person evaluates the objective functions and finds the solution. In real world, however, a number of people evaluate the objective functions and a few other people do the decision making, which makes the problem solution difficult. In the research, this kind of problems is called a distributedlly evaluated multi-objective optimization problem, and its solution method and applications, especially to public transport systems are developed..
• Multi-agent systems
  keyword : Multi-agent systems, Learning, Agent-based simulations
  2001.04～2010.03Multi-agent systems.

Current and Past Project

• Methods are being developed for coordinated operation of renewable-energy-based networks and large-scale power grids and for operation and control in renewable-energy-based networks.

Academic Activities Membership in Academic Society

• 学外

Educational Activities Other Educational Activities

• 2005.06.

Professional and Outreach Activities