Biographical Sketch

Shun-ichi Azuma received the B.Eng. degree in electrical engineering from Hiroshima University, Higashi Hiroshima, Japan, in 1999, and received the M.Eng. degree in control engineering and Ph.D. degree in mechanical and nvironmental informatics from Tokyo Institute of Technology, Tokyo, Japan, in 2001 and 2004, respectively. He was a research fellow of the Japan Society for the Promotion of Science from 2004 to 2005, an assistant professor and an associate professor in the Graduate School of Informatics, Kyoto University from 2005 to 2011 and from 2011 to 2017, respectively, and a professor in the Graduate School of Engineering, Nagoya University. He is currently a professor in the Graduate School of Informatics, Kyoto University. He held visiting positions at the Georgia Institute of Technology, Atlanta GA, USA, from 2004 to 2005 and at the University of Pennsylvania, Philadelphia PA, USA, from 2009 to 2010. He served as associate editors of IEEE Transactions on Control of Network Systems from 2013 to 2019, IEEE Control Systems Letters from 2016 to 2019, and International Journal of Control, Automation and Systems from 2018 to 2023. He currently serves as associate editors of IEEE CSS Conference Editorial Board from 2011, Automatica from 2014, Nonlinear Analysis: Hybrid Systems from 2017, and IEEE Transactions on Automatic Control from 2019, and a senior editor of International Journal of Control, Automation and Systems from 2023. His research interests include analysis and control of network systems and hybrid systems.

Selected Publications (see also the full list )

  1. S. Azuma:
    Structural Equilibrium Control of Network Systems,
    IEEE Transactions on Automatic Control, 67-7, pp. 3621--3626, 2022
  2. M.A.S. Kamal, C.P. Tan, T. Hayakawa, S. Azuma, and J. Imura:
    Control of Vehicular Traffic at an Intersection Using a Cyber-Physical Multi-Agent Framework,
    IEEE Transactions on Industrial Informatics, 17-9, pp. 6230--6240, 2021
  3. Y. Minami and S. Azuma:
    Prediction Governors: Optimal Solutions and Application to Electric Power Balancing Control,
    IET Control Theory & Applications, 15-10, pp. 1375--1388, 2021
  4. S. Azuma and M. Nagahara:
    Majority Determination in Binary-valued Communication Networks,
    IEEE Transactions on Control of Network Systems, 8-2, pp. 838--846, 2021
    Open Access
  5. S. Azuma, T. Kure, and T. Sugie:
    Structural Bistability Analysis of Flower-shaped and Chain-shaped Boolean Networks,
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17-6, pp. 2098--2106, 2020    Open Access
  6. Y. Ito, M.A.S. Kamal, T. Yoshimura, and S. Azuma:
    Pseudo-perturbation-based Broadcast Control of Multi-agent Systems,
    Automatica, 113, 108769, 2020
  7. S. Azuma, D. Sato, K. Kobayashi, and N. Yamaguchi:
    Detection of Defaulting Participants of Demand Response Based on Sparse Reconstruction,
    IEEE Transactions on Smart Grid, 11-1, pp. 368--378, 2020    Open Access
  8. Y. Ito, M.A.S Kamal, T. Yoshimura, and S. Azuma:
    Coordination of Connected Vehicles on Merging Roads Using Pseudo-perturbation-based Broadcast Control,
    IEEE Transactions on Intelligent Transportation Systems, 20-9, pp. 3496--3512, 2019
  9. D.H. Nguyen, and S. Azuma, and T. Sugie:
    Novel Control Approaches for Demand Response with Real-time Pricing using Parallel and Distributed Consensus-based ADMM,
    IEEE Transactions on Industrial Electronics, 66-10, pp. 7935--7945, 2019
  10. K. Kobayashi, K. Miyazaki, S. Azuma, and N. Yamaguchi:
    Design and Value Evaluation of Demand Response Based on Model Predictive Control,
    IEEE Transactions on Industrial Informatics, 15-8, pp.4809--4818, 2019
  11. K. Sakurama, S. Azuma, and T. Sugie:
    Multi-agent Coordination via Distributed Pattern Matching,
    IEEE Transactions on Automatic Control, 64-8, pp. 3210--3225, 2019
  12. S. Azuma, T.Kure, T. Yoshida, and T. Sugie:
    Cactus-expandable Graphs,
    IEEE Transactions on Control of Network Systems, 6-2, pp. 775--788, 2019
    Open Access
  13. S. Azuma, T. Yoshida, and T. Sugie:
    Structural Oscillatority Analysis of Boolean Networks,
    IEEE Transactions on Control of Network Systems, 6-2, pp. 464--473, 2019
    Open Access
  14. K. Sato and S. Azuma:
    Secure Real-time Control Through Fog Computation,
    IEEE Transactions on Industrial Informatics, 15-2, pp. 1017--1026, 2019
  15. S. Izumi and S. Azuma:
    Real-Time Pricing by Data Fusion on Networks,
    IEEE Transactions on Industrial Informatics, 14-3, pp. 1175--1185, 2018
  16. K. Sakurama, S. Azuma, and T. Sugie:
    Multi-agent Coordination to High-dimensional Target Subspaces,
    IEEE Transactions on Control of Network Systems, 5-1Cpp. 345--358, 2018
  17. S. Azuma, T. Yoshida, and T. Sugie:
    Structural Monostability of Activation-Inhibition Boolean Networks,
    IEEE Transactions on Control of Network Systems, 4-2, pp. 179--190, 2017
    Open Access
  18. R. Takahashi, S. Azuma, and T. Hikihara:
    Power Regulation with Predictive Dynamic Quantizer in Power Packet Dispatching System,
    IEEE Transactions on Industrial Electronics, 63-12, pp. 7653--7661, 2016
  19. S. Azuma, K. Owaki, N. Shinohara, and T. Sugie:
    Performance Analysis of Chemotaxis Controllers: Which has better chemotaxis controller, Escherichia coli or Paramecium caudatum?,
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 13-4, pp. 730--741, 2016    Open Access
  20. K. Sakurama, S. Azuma, and T. Sugie:
    Distributed Controllers for Multi-Agent Coordination via Gradient-Flow Approach,
    IEEE Transactions on Automatic Control, 60-6, pp. 1471--1485, 2015
  21. Y. Hirata, S. Azuma, and K. Aihara:
    Model Predictive Control for Optimally Scheduling Intermittent Androgen Suppression of Prostate Cancer,
    Methods, 67-3, pp. 278--281, 2014
  22. S. Azuma, R. Yoshimura, and T. Sugie:
    Broadcast Control of Multi-Agent Systems,
    Automatica, 49-8, pp. 2307--2316, 2013
  23. S. Azuma, M. Selman Sakar, and G.J. Pappas:
    Stochastic Source Seeking by Mobile Robots,
    IEEE Transactions on Automatic Control, 57-9, pp. 2308--2321, 2012
    Download from Repository
  24. S. Azuma and T. Sugie:
    Dynamic Quantization of Nonlinear Control Systems,
    IEEE Transactions on Automatic Control, 57-4, pp. 875--888, 2012
    Download from Repository
  25. S. Azuma, Y. Minami, and T. Sugie:
    Optimal Dynamic Quantizers for Feedback Control with Discrete-Level Actuators: Unified Solution and Experimental Evaluation,
    Transactions of the ASME, Journal of Dynamic Systems, Measurement and Control, 133-2, Art. 021005, 2011
  26. S. Azuma and T. Sugie:
    Synthesis of Optimal Dynamic Quantizers for Discrete-Valued Input Control,
    IEEE Transactions on Automatic Control, 53-9, pp. 2064--2075, 2008
  27. S. Azuma and T. Sugie:
    Optimal Dynamic Quantizers for Discrete-Valued Input Control,
    Automatica, 44-2, pp. 396--406, 2008
  28. S. Azuma, E. Yanagisawa, and J. Imura:
    Controllability Analysis of Biosystems Based on Piecewise Affine Systems Approach,
    IEEE Transactions on Automatic Control, 53-1, pp. 139--152, 2008
  29. S. Azuma and J. Imura:
    Polynomial-Time Probabilistic Controllability Analysis of Discrete-Time Piecewise Affine Systems,
    IEEE Transactions on Automatic Control, 52-11, pp. 2029--2046, 2007
    Download from Repository
  30. M. Egerstedt, S. Azuma, and Y. Wardi:
    Optimal Timing Control of Switched Linear Systems Based on Partial Information,
    Nonlinear Analysis: Theory, Methods & Applications, 65-9, pp. 1736--1750, 2006
  31. S. Azuma and J. Imura:
    Synthesis of Optimal Controllers for Piecewise Affine Systems with Sampled-Data Switching,
    Automatica, 42-5, pp. 697--710, 2006

Contact

Mail: Graduate School of Engineering, Nagoya University
        Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan
E-Mail: shunichi.azuma (at mark) mae.nagoya-u.ac.jp

For the applicants for research students:
Please make your application through NU-AAS system: https://aas.iee.nagoya-u.ac.jp/apply/
The applicants do not have to contact me via e-mail.
I only reply to the applicants through NU-AAS system.