Name SHIBATA Tsugumichi
Official Title Professor
Affiliation Department of Electrical,Electronic and Communication Engineering
Profile After working at NTT Laboratories for many years, Prof. T. Shibata moved to the Tokyo City University and is engaged in research and education in the field of information and communication engineering. His area of expertise is the design of high-speed and high-frequency integrated circuits. He has a deep knowledge of electromagnetic field analysis and has been deeply involved in the design and development of silicon and III-V compound integrated circuits for communication front ends. After moving to university, he became interested in sensor network applications utilizing IoT and AI, and has been working on the development of solutions for solving social issues in the era of declining birthrate and aging population. Research interests span both hardware and software technologies. He has been a member of the Institute for Future City Studies in the university and was involved in the private university research branding project “City research by Tokyo City University” from 2016 to 2020. (
Research Field(Keyword & Summary)
  1. (1) Microwave circuits and applied systems

    We are conducting research on design technology for microwave and millimeter-wave components for mobile wireless systems of 5G and beyound. We are studying metaheuristic design methods such as the use of swarm intelligence to design filters and power amplifiers. We are also interested in applying these optimization techniques to the underground cavity estimation system that utilizes the backscattering response of radio waves.

  2. (2) Sensor network for smart cities

    We are conducting research on sensor networks and data utilization technologies that collect information on the movement of people and the surrounding environment for the purpose of providing living support and increasing the efficiency of social activities. Recently, we are developing an elderly watching system that monitors RSSI from wearable sensors worn by elderly people at multiple positions indoors and uses machine learning to estimate their positions. On the other hand, wireless power transfer is also being tackled with the prospect of maintaining a huge number of sensor nodes in the future.

Representative Papers
  1. (1) Sampling Frequency Conversion of the Time-Domain Discrete Green’s Function for FDTD Diakoptics, 2022 Asia-Pacific Microwave Conference (APMC 2022), FR3-F3-2, Nov. 2022.
  2. (2) A Control of Magnetic Resonance Wireless Power Transmission to Multiple Devices Using the SP-PS Coupling Circuit, 2022 Asia-Pacific Microwave Conference (APMC 2022), WE1-F5-4, Nov. 2022.
  3. (3) Estimation of Layered Structures Using Backscattering Responses and Particle Swarm Optimization, 2022 Asia-Pacific Microwave Conference (APMC 2022), IF-C04, Dec. 2022.
  4. (4) Estimation of an Underground Cavity by the Particle Swarm Optimization of Equivalent Circuit Model for Multilayer Structures, IEEJ Trans. on Electronics, Information and Systems, vol.141, Dec. 2021.
  5. (5) Particle Swarm Optimization of a Cascaded Multisection Line Impedance Matching Circuit, 2021 Asia-Pacific Microwave Conference (APMC 2021), S2-07-1, Nov. 2021.
  6. (6) An Indoor Positioning with a Neural Network Model of TensorFlow for Machine Learning, 2021 Int. Symp. Intelligent Signal Processing and Communication Systems (ISPACS 2021) , BS-05, Nov. 2021.
  7. (7) An Automatic Efficiency Control of the Magnetic-Resonance-Type Wireless Power Transfer System Using an SP-PS Circuit Topology, IEICE Trans. on Electron., vol. J104-C, May 2021.
  8. (8) Extension of the distance of wireless power transfer by using the SP-PS coupling circuit with coils of increased sizes, 2020 International Conference on Emerging Technologies for Communication (ICETC 2020), F2-6, Dec. 2020.
  9. (9) Elderly Care – Indoor Location Estimation Using a Wireless Sensor Network, 2020 IEEE Int. Symp. Radio-Frequency Integrated Technology (RFIT 2020), FR3C-1, Sept. 2020.
  10. (10) A Discrete Green’s Function of an FDTD Unit-Cell, 2020 International Conference on Microwave and Millimeter Wave Technology (ICMMT 2020), MP1G-5, Sept. 2020.
  1. (1) Noncontact type IC card and system therefor. Patent #3359608, US6343744B1, EP1030266A2.
Award 2003 IEICE Best Paper Award. 2004 YRP Award, 2011 EST Best Presentation Award.
Grant-in-Aid for Scientific Research Support: Japan Society for Promotion of Science (JSPS)
Recruitment of research assistant(s) No
Affiliated academic society (Membership type) (1) Institute of Electronics, Information and Communication Engineers, IEICE (Fellow)
(2) Institute of Electrical and Electronics Engineers, IEEE (Senior Member)
(3) Institute of Electrical Engineers of Japan, IEEJ (Member)
Education Field (Undergraduate level) Electromagnetics, Electronic Circuits, Integrated Circuit and System Engineering
Education Field (Graduate level) Advanced Integrated Circuits, Numerical Simulations