Biographical Sketch

Shun-ichi Azuma received the B.Eng. degree in electrical engineering from Hiroshima University, Higashi Hiroshima, Japan, in 1999, and the M.Eng. degree in control engineering and Ph.D. degree in mechanical and environmental informatics from Tokyo Institute of Technology, Tokyo, Japan, in 2001 and 2004, respectively.

He is currently a Professor in the Department of Mechanical Systems Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan. Prior to joining Nagoya University, he was a research fellow of the Japan Society for the Promotion of Science at Tokyo Institute of Technology (Advisor: Prof. Jun-ichi Imura) from 2004 to 2005, and an Assistant Professor and an Associate Professor in the Department of Systems Science, Graduate School of Informatics, Kyoto University, Uji, Japan, from 2005 to 2011 and from 2011 to 2017, respectively.

He held visiting positions at Georgia Institute of Technology, Atlanta GA, USA, from 2004 to 2005 (Advisor: Prof. Magnus Egerstedt) and at University of Pennsylvania, Philadelphia PA, USA, from 2009 to 2010 (Advisor: Prof. George J. Pappas). He serves as Associate Editors of IEEE CSS Conference Editorial Board from 2011, IEEE Transactions on Control of Network Systems from 2013, IFAC Journal Automatica from 2014, IEEE Control Systems Letters from 2016, and Nonlinear Analysis: Hybrid Systems from 2017.

Selected Publications (see also the full list )

  1. 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, to appear, 2021
  2. S. Azuma and M. Nagahara:
    Majority Determination in Binary-valued Communication Networks,
    IEEE Transactions on Control of Network Systems, to appear, 2021
  3. 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
  4. Y. Ito, M.A.S. Kamal, T. Yoshimura, and S. Azuma:
    Pseudo-perturbation-based Broadcast Control of Multi-agent Systems,
    Automatica, 113, 108769, 2020
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. K. Sato and S. Azuma:
    Secure Real-time Control Through Fog Computation,
    IEEE Transactions on Industrial Informatics, 15-2, pp. 1017--1026, 2019
  13. S. Izumi and S. Azuma:
    Real-Time Pricing by Data Fusion on Networks,
    IEEE Transactions on Industrial Informatics, 14-3, pp. 1175--1185, 2018
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. S. Azuma, R. Yoshimura, and T. Sugie:
    Broadcast Control of Multi-Agent Systems,
    Automatica, 49-8, pp. 2307--2316, 2013
  21. 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
  22. 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
  23. 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
  24. 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
  25. S. Azuma and T. Sugie:
    Optimal Dynamic Quantizers for Discrete-Valued Input Control,
    Automatica, 44-2, pp. 396--406, 2008
  26. 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
  27. 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
  28. 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
  29. 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.