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Naomi Kuze

Assistant Professor
Graduate School of Engineering Science,
Osaka university

Carreer
  • Mar. 2013,
    Received Master of Information Science from Osaka University
  • Apr. 2015 - Mar. 2016,
    Research fellow, Information Science from Osaka University
  • Mar. 2016,
    Received Ph.D. of Information Science from Osaka University
  • Apr. 2016 - Apr. 2018,
    Specially Appointed Assistant Professor, Graduate School of Information Science and Technology, Osaka University
  • May 2018 -,
    Assistant Professor, Graduate School of Engineering Science, Osaka University
Lecture

2017 -,
Exercises of Information Networking II
for master's students of Graduate School of Information Science and Technology, Osaka University


Resarch

Research Interests
  • Guided self-organizing systems / controlled self-organizing systems
  • Robust control for self-organizing sytems
  • Multi-agent control systems based on collective decision making
  • Vulnerability scanning detection based on biological behavior
Achievements
Journal Papers
  1. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata, "Self-organizing control mechanism based on collective decision-making for information uncertainty," ACM Transactions on Autonomous and Adaptive Systems, vol. 13, no. 1 pp. 7:1-7:21, April 2018.
  2. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata, "Hierarchical optimal control method for controlling large-scale self-organizing networks," ACM Transactions on Autonomous and Adaptive Systems, vol. 12, pp. 22:1-22:23, January 2018.
  3. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, "Controlling large-scale self-organized networks with lightweight cost for fast adaptation to changing environments," ACM Transactions on Autonomous and Adaptive Systems, vol. 11, no. 2, pp. 9:1-9:25, June 2016.
  4. Naomi Kuze, Daichi Kominami, and Masayuki Murata, "A predictive mechanism for enhancing adaptability of self-organised routing," International Journal of Bio-Inspired Computation, vol. 6, no. 6, pp. 384-396, January 2015.
Refereed Conference Papers
  1. Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, Masayuki Murata, "Self-organizing wireless sensor networks based on biological collective decision making for treating information uncertainty," in Proceedings of The Tenth IEEE International Workshop on Selected Topics in Wireless and Mobile Computing (STWiMob 2017), (Rome), pp. 167-174, October, 2017.
  2. Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, and Masayuki Murata, “Detection of vulnerability scanning using features of collective accesses based on information collected from multiple honeypots,” in Proceedings of IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet2016), (Istanbul), pp. 1-6, April 2016.
  3. Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, and Masayuki Murata, "Crawler classification using ant-based clustering scheme," in Proceedings of 10th International Conference for Internet Technology and Secured Transactions, (London), pp. 84-89, December 2015.
  4. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, "Hierarchical optimal control method for controlling self-organized networks with light-weight cost," in Proceedings of IEEE Global Communication Conference (GLOBECOM 2015), (San Diego), pp. 1-7, December 2015.
  5. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, "Enhancing convergence with optimal feedback for controlled self-organizing network," in Proceedings of The 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall), (Vancouver), pp. 1-7, September 2014.
  6. Naomi Kuze, Naoki Wakamiya, Daichi Kominami and Masayuki Murata, "Proposal and evaluation of a predictive mechanism for ant-based routing," in Proceedings of International Conference on Emerging Network Intelligence (EMERGING 2013), (Porto), pp. 7-12, September 2013. (Best Paper Award)
  7. Naomi Kuze, Naoki Wakamiya, and Masayuki Murata, "Proposal and evaluation of ant-based routing with autonomous zoning for convergence improvement," in Proceedings of The 15th International Conference on Network-Based Information Systems (NBiS-2012), (Melbourne, Australia), pp. 290-297, September 26-28, 2012.
  8. Naomi Kuze, Naoki Wakamiya, and Masayuki Murata, "Proposal and evaluation of ant-based routing with prediction," in Proceedings of the Fifth International Workshop on Guided Self-Organization (GSO-2012), September 2012.
Non-refereed Technical Papers
  1. Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, Masayuki Murata, "Self-Organized Network Control Using Uncertain Information Inspired by Collective Decision Making," to be presented in Technical Committee on Information Networks, March 2018 (in Japanese).
  2. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, "Channel selection mechanism with uncertain information inspired by collective decision making," to be presented in Technical Committee on Information Networks, March 2018 (in Japanese).
  3. Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, Masayuki Murata, "Self-organized multi-agent control method inspired by collective decision making," Technical Report of IEICE(IN2016-145), vol. 116, no. 485, pp. 287-292, March 2017 (in Japanese).
  4. Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, and Masayuki Murata, "Detection of vulnerability scanning using features of collective accesses collected from several honeypots," Technical Report of IEICE (ICSS2015-55), vol. 115, no. 488pp. 47-52, March 2016 (in Japanese).
  5. Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, and Masayuki Murata, "Website vulnerability scanning detection inspired by biological adaptation toward diversifying communication services," Computer Security Symposium 2015 (CSS 2015), October 2015 (in Japanese).
  6. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, "Potential-based routing with optimal feedback using reduced order model for controlled self-organizing networks," Technical Report of IEICE (IN2014-32), vol. 114, no. 139, pp. 13-18, July 2014 (in Japanese).
  7. Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, and Masayuki Murata, "Robustness of potential-based routing with model predictive control," Technical Report of IEICE (IN2013-195), vol. 113, no. 473, pp. 305-310, March 2014 (in Japanese).
  8. Naomi Kuze, Naoki Wakamiya, and Masayuki Murata, "Proposal and evaluation of ant-based routing with autonomous zoning," Technical Report of IEICE (IN2011-196), vol. 111, no. 469, pp. 353-358, March 2012 (in Japanese).
Ph.D. Thesis
  • Naomi Kuze, "Managed self-organizing control method inspired by adaptive biological behavior," Ph.D. thesis, Graduate School of Information Science and Technology, Osaka University, January 2016.
Master's Thesis
  • Naomi Kuze, "Proposal and evaluation of a predictive mechanism for controlled self-organization based routing," Master's thesis, Graduate School of Information Science and Technology, Osaka University, February 2013.
Reward
  • Sep. 2013, Best paper award
    International Conference on Emerging Network Intelligence (EMERGING 2013)
Research Funding
  • Apr. 2018 - Mar. 2020
    "Web attack detection inspired by decision-making in human's brain"
    Grand-in-Aid for Early-Career Scientists, no.18K18040, Japan Society for the Promotion of Science, Japan
  • Apr. 2016 - Mar. 2018
    "Network control architecture inspired by decision-making in human's brain"
    Grand-in-Aid for Young Scientists (Start-up), no.16H06915, Japan Society for the Promotion of Science, Japan
  • Apr. 2015 - Mar. 2016
    "Guided self-organizing control architecture"
    Grand-in-Aid for JSPS Research Fellow (DC2), Japan Society for the Promotion of Science, Japan

Contact

Address

Graduate School of Engineering Science, Osaka University
1-3, Machikaneyama-cho, Toyonaka, Osaka, 560-8531, Japan

E-mail

kuze [at] sys.es.osaka-u.ac.jp

Phone

+81-6-6850-6354