Mizutani Kimihiro's Research Infomation Page

水谷后宏のプロフィール

2005 年同志社大学知識工学科入学．2008 年に同大学を退学し，奈良先端科学技術大学院大学情報科学研究科に飛び級入学．2010 年同大学院を修了し，NTT (先端技術総合研究所)に入社．2018年から2019年にかけてNTT西日本技術革新部(主査)．2019年より，近畿大学理工学部/総合理工学研究科専任講師（大規模情報処理システム研究室を主宰）．NTT在職中の2014年-2015年にかけて博士(工学)を短期取得．IEEE会員．電子情報通信学会会員．

主な外部投稿一覧

Journal/Letter(論文誌・レター)

  1. 水谷 后宏, 間野 暢, 明石 修, 福田 健介, “連続データに柔軟な大規模計算基盤の提案と評価,” コンピュータソフトウェア, 岩波書店, vol. 30, no. 2, pp.101-118, 2013.

  2. Kimihiro Mizutani, Toru Mano, Osamu Akashi, and Kensuke Fukuda, “MARIF: Multiple Queries Look-up Architecture Using Range Information FeedBack in a DHT Network,” IEICE Transaction on Communications, vol. E96-B, no. 7, pp. 1680-1690, 2013.

  3. 釘本 健司, 三宅 茂樹, 水谷 后宏, “ソケットAPIを備えたカーネル内の可用帯域推定機能,” コンピュータソフトウェア, 岩波書店, vol. 3, pp. 246-258, 2014.

  4. Katsuya Suto, Hiroki Nishiyama, Nei Kato, Kimihiro Mizutani, Osamu Akashi, and Atsushi Takahara, “An Overlay-based Data Mining Architecture Tolerant to Physical Network Disruptions,” IEEE Transactions on Emerging Topics in Computing, vol. 2, no. 3, pp.292-301, 2014.

  5. Toru Mano, Takeru Inoue, Kimihiro Mzutani, and Osamu Akashi, “Virtual Network Embedding across Multiple Domains with Secure Multi-Party Computation,” IEICE Transactions on Communications, vol. 98-B(3), no. 3, pp. 437-448, 2014.

  6. Kimihiro Mizutani, Takeru Inoue, Toru Mano, Osamu Akashi, Satoshi Matsuura, and Kazutoshi Fujikawa, “Stable Load Balancing with Overlapping ID-space Management in Range-based Structured Overlay Networks “, Computer Software, JSSST, vol. 32, no. 3, pp. 101-110, 2015. (日本ソフトウェア科学会 第21回研究論文賞)

  7. Kimihiro Mizutani, Takeru Inoue, Toru Mano, Osamu Akashi, Satoshi Matsuura, and Kazutoshi Fujikawa, “Living Will for Resilient Overlay Networks” IEICE Transaction on Communications, vol. E99-B, no. 4, pp. 830-840, 2016. (Special Invitation from IEEE APCC)

  8. Toru Mano, Takeru Inoue, Dai Ikarashi, Koki Hamada, Kimihiro Mizutani, and Osamu Akashi, “Efficient Virtual Network Optimization across Multiple Domains without Revealing Private Information,” IEEE Transactions on Network and Service Management , vol. 13(3), pp. 477-488, 2016.

  9. Nei Kato, Zubair Md. Fadlullah, Bomin Mao, Fengxiao Tang, Osamu Akashi, Takeru Inoue, and Kimihiro Mizutani, “The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective,” IEEE Wireless Communications , vol.24, pp.146-153, 2017.

  10. Zubair Fadlullah, Fengxiao Tang, Bomin Mao, Nei Kato, Osamu Akashi, Takeru Inoue, and Kimihiro Mizutani, “State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems,” IEEE Communications Surveys & Tutorials, DOI:10.1109/COMST.2017.2707140, 2017.

  11. Bomin Mao, Zubair Md. Fadlullah, Fengxiao Tang, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani, “Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning,” IEEE Transactions on Computers, DOI:10.1109/TC.2017.2709742, 2017.

  12. Takeru Inoue, Richard Chen, Toru Mano, Kimihiro Mizutani, Hisashi Nagata, and Osamu Akashi, “An Efficient Framework for Data-plane Verification with Geometric Windowing Queries,” IEEE Transactions on Network and Service Management, DOI: 10.1109/TNSM.2017.2723725

  13. Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Nei Kato, Osamu Akashi, Takeru Inoue, and Kimihiro Mizutani, “On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control,” IEEE Wirelesss Magazine, DOI : 10.1109/MWC.2017.1700244.

  14. 永田 尚志, 井上 武, 間野 暢, 水谷 后宏, 明石 修，”送信レート制御を行うネットワークにおけるパーフェクトサンプリング,” 電子情報通信学会論文誌，DOI: 10.14923/transcomj.2017JBL4016, 2017.

  15. Takeru Inoue, Toru Mano, Kimihiro Mizutani, Shinji Minato, and Osamu Akashi, “Fast Packet Classification Algorithm Based on Network-wide Forwarding Behaviors,” Elsevier Computer Communication, vol.116, pp.101-117, 2018.

  16. Bomin Mao, Zubair Md. Fadlullah, Fengxiao Tang, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani, “A Novel Non-supervised Deep Learning Based Network Traffic Control Method for Software Defined Wireless Networks,” IEEE Wireless Magazine, DOI : 10.1109/MWC.2017.1700244.

  17. 水谷 后宏，吉田 学，秦 崇弘，社家 一平，”信号状態と交通流を同時に考慮した運転支援のための行動選択学習,” 計測自動制御学会論文集，vol. 54, no. 11, pp. 793-801, 2018.

  18. Zubair Fadlullah, Fengxiao Tang, Bomin Mao, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani, "On Intelligent Traffic Control For Large Scale Heterogeneous Networks: A Value Matrix Based Deep Learning Approach", IEEE Communications Letters, vol. 22, Issue. 12, pp. 2479-2482, 2018.

  19. Kohei Watabe, Toru Mano, Takeru Inoue, Kimihiro Mizutani, Osamu Akashi, and Kenji Nakagawa, "Measuring Lost Packets with Minimum Counters in Traffic Matrix Estimation,'' IEICE Transactions on Communications, vol. E102-B, No.1, pp. 76-87, 2019.

  20. 吉田 学, 水谷 后宏, 秦 崇弘，社家 一平，" 深層強化学習を用いた燃費向上を可能にする速度選択学習, " 自動車技術会, vol. 50, no. 2, pp. 622-628, 2019.

  21. Toru Mano, Takeru Inoue, Kimihiro Mizutani, and Osamu Akashi, "Reducing Dense Virtual Networks for Fast Embedding," IEICE Transactions on Communications, vol. 103, no. 4, pp. 347-362, 2020.

  22. Kimihiro Mizutani, "An Extractive Streaming System to Reduce Monitoring Traffic," IEICE Communication Express, doi: https://doi.org/10.1587/comex.2020XBL0121, 2020.

  23. Tomoki Tokunaga, and Kimihiro Mizutani, "A Scheme of Estimating Mobile Traffic Data without Coarse-Grained Process using Conditional SR-GAN," IEICE Communications Express 2021, vol. 10, issue. 8, pp. 441-446, 2021.

  24. Masaya Suzuki, and Kimihiro Mizutani, "A Novel Distributed Deep Learning Training Scheme Based on Distributed Skip Mesh List," IEICE Communications Express 2021, vol. 10, issue. 8, pp. 463-468, 2021.

  25. Kimihiro Mizutani, "Stateless Node Failure Information Propagation Scheme for Stable Overlay Networks," IEEE Access, vol. 9, pp. 88737-88745, 2021.

  26. Kimihiro Mizutani, "Effective TCP Flow Management Based on Hierarchical Feedback Learning in Complex Data Center Network," Sensors, No. 22, https://doi.org/10.3390/s22020611, 2022.

  27. Tomoki Tokunaga, and Kimihiro Mizutani, "Comprehensive Evaluation of Generating Mobile Traffic Data Scheme without Coarse-grained Process Using CSR-GAN," Sensors, No. 22, https://doi.org/10.3390/s22051930, 2022.

International Conference(国際会議)

  1. Kimihiro Mizutani, Satoshi Matsuura, Shinichi Doi, Kazutoshi Fujikawa, and Hideki Sunahara, “An Implementation and Its Evaluation of a Framework for Managing States of Nodes among Structured Overlay Networks,' in Proc. IEEE ICNS, pp.282-287, Mar. 2010.

  2. Kimihiro Mizutani, Izumi Koyanagi, and Takuji Tachibana, “Dynamic Session Management Based on Reinforcement Learning in Virtual Server Environment,” in Proc. ICCSA, pp.905-910, 2010. (Best Student Paper Award)

  3. Kimihiro Mizutani, Osamu Akashi, Atsushi Terauchi, and Mitsuru Maruyama, “A Dynamic Flow Control Mechanism Based on a Hierarchical Feedback Model for Data Center Networks,” in Proc. IEEE/IFIP NOMS, pp.599-602, 2012.

  4. Kimihiro Mizutani, Osamu Akashi, and Tetsuo Kawano, “Streaming Server Management Scheme for Power Consumption Reduction,” in Proc. IEEE Globecom, pp.3572-3577, 2012.

  5. Kimihiro Mizutani, Toru Mano, Osamu Akashi, and Kensuke Fukuda, “Efficient Query Bundling Mechanism in a DHT Networks,” in Proc. IEEE Globecom, pp.2695-2700, 2012.

  6. Toru Mano, Kimihiro Mizutani, and Osamu Akashi, “Secure resource provisioning across multiple domains,” in Proc. IEEE/IFIP ManFI, pp.1129-1134, 2013.

  7. Meng Li, Hiroki Nishiyama, Nei Kato, Kimihiro Mizutani, Osamu Akashi, and Atsushi Takahara, “On the Fast-Convergence of Delay-Based Load Balancing over Multipath for Dynamic Traffic Environment,” in Proc. IEEE WCSP, pp.1-6, 2013.

  8. Toru Mano, Takeru Inoue, Dai Ikarashi, Koki Hamada, Kimihiro Mizutani, and Osamu Akashi, “Efficient Virtual Network Optimization across Multiple Domains without Revealing Private Information,” in Proc. IEEE ICCCN, pp.1-8, 2014.

  9. Takeru Inoue, Toru Mano, Kimihiro Mizutani, Shinji Minato, and Osamu Akashi, “ Rethinking Packet Classification for Global Network View of Software-Defined Networking,” in Proc. IEEE ICNP, pp.296-307, 2014.

  10. Kimihiro Mizutani, Takeru Inoue, Toru Mano, Osamu Akashi, Satoshi Matsuura, and Kazutoshi Fujikawa, “Testament for Resilient Overlay Networks,” in Proc. IEEE APCC, pp.514-518, 2015. (Special Invitation for IEICE Transactions)

  11. Toru Mano, Takeru Inoue, Kimihiro Mizutani, and Osamu Akashi, “Reducing dense virtual networks for fast embedding,” in Proc. IEEE INFOCOM, pp.739-747, 2015.

  12. Richard Chen, Takeru Inoue, Toru Mano, Kimihiro Mizutani, Hisashi Nagata, and Osamu Akashi, “ A Geometric Windowing Algorithm in Network Data-Plane Verification,” in Proc. IEEE ICDCS, pp.743-744, 2016.

  13. Hideki Kuribayashi, Katsuya Suto, Hiroki Nishiyama, Nei Kato, Kimihiro Mizutani, Takeru Inoue, and Osamu Akashi, “A Mobility-Based Mode Selection Technique for Fair Spatial Dissemination of Data in Multi-Channel Device-to-Device Communication” in Proc. IEEE ICC, pp.1-6, 2016. (Best Paper Award)

  14. Tiago Gama Rodrigues, Katsuya Suto, Hiroki Nishiyama, Nei Kato, Kimihiro Mizutani, Takeru Inoue, and Osamu Akashi, “Towards a Low-Delay Edge Cloud Computing through a Combined Communication and Computation Approach,” in Proc. IEEE VTC, pp.1-5, 2016.

  15. Takeru Inoue, Richard Chen, Toru Mano, Kimihiro Mizutani, Hisashi Nagata, and Osamu Akashi, “An Efficient Framework for Data-plane Verification with Geometric Windowing Queries,” in Proc. IEEE ICNP, pp.1113-1127, 2016.

  16. Kohei Watabe, Toru Mano, Kimihiro Mizutani, Osamu Akashi, Kenji Nakagawa, and Takeru Inoue, “A Proposal of an Efficient Traffic Matrix Estimation under Packet Drops,” in Proc. IEEE ICDCS, pp.2636 - 2637, 2017.

  17. Bomin Mao, Zubair Md. Fadlullah, Fengxiao Tang, Nei Kato, Osamu Akashi, Takeru Inoue, and Kimihiro Mizutani, “A Tensor Based Deep Learning Technique for Intelligent Packet Routing,” in Proc. IEEE Globecom, 2017. (Best Paper Award)

  18. Taichi Kawabata, Takashi Kurimoto, and Kimihiro Mizutani, “Toward Preventive Network Service Management by Neural Networks,” in Proc. IEEE LANMAN, pp. 154-156, 2018.

  19. Toru Mano, Takeru Inoue, Kimihiro Mizutani, and Osamu Akashi, "Increasing Capacity of the Clos Structure for Optical Switching Networks," in Proc. IEEE Globecom, DOI: 10.1109/GLOBECOM38437.2019.9014232, 2019.

  20. Masaya Suzuki, and Kimihiro Mizutani, "A Novel Distributed Deep Learning Training Scheme Based on Distributed Skip Mesh List," in Proc. International Conference on Emerging Technologies for Communications, DOI:10.34385/proc.63.E2-4, 2020.

  21. Tomoki Tokunaga, and Kimihiro Mizutani, "Accurate Mobile Traffic Generation Scheme without Coarse-grained Data Using Conditional SR-GAN," in Proc. International Conference on Emerging Technologies for Communications, DOI:10.34385/proc.63.E3-2, 2020.

  22. Katsuma Kumaki, and Kimihiro Mizutani, "A Novel Light Implementation of Face Reorganization System with Edge Device ," in Proc. International Conference on Emerging Technologies for Communications, DOI:10.34385/proc.63.N2-3, 2020.

  23. Issei Komeda and Kimihiro Mizutani, "Object Detection Scheme Switching for Improving Video Analysis Performance," in Proc. International Conference on Emerging Technologies for Communications, 2021.

  24. Daisuke Hanamitsu, Kimihiro Mizutani, Satoru Kobayashi, Kensuke Fukuda, and Osamu Akashi, "A Scheme of Extracting Network Configuration Template Blocks Based on Tucker Decomposition," in Proc. International Conference on Emerging Technologies for Communications, 2021.

投稿中(Journal or International Conference)

  • Effective Multicast Tree Construction Scheme for Mixed Fixed/Mobile Networks, Submitted for review.

Awards(受賞)

  1. IPSJ- MBL研究会, 優秀プレゼンテーション賞, 2010.

  2. International Conference on Communication Systems and Applications (ICCSA'10), Best student paper award, 2010.

  3. IEICE-IA研究会, インターネットアーキテクチャ研究賞, 2013.

  4. IEICE-ICM研究会, 情報通信マネジメント研究賞, 2013.

  5. IEICE-IN研究会, 情報ネットワーク研究賞, 2014.

  6. IEICE Transactions on Communications, Special Invitation for transactions, 2015.

  7. IEICE-IA研究会, 研究奨励賞, 2016.

  8. IEEE International Conference on Communications (ICC’16), Best Paper Award, 2016.

  9. NTT未来ねっと研究所, 所長表彰, 2016.

  10. 日本ソフトウェア科学会, 第21回研究論文賞, 2017.

  11. IEEE International Conference on Global Communications (Globecom’17), Best Paper Award, 2017.

  12. IEICE-IN研究会, 情報ネットワーク研究賞, 2017.

  13. IEICE-NV研究会, 優秀公演賞, 2018.

  14. 電子情報通信学会関西支部奨励賞, 2020(指導学生が獲得).

  15. 電子情報通信学会関西支部優秀論文発表賞, 2020(指導学生が獲得).

  16. 電気関係学会関西連合大会奨励賞, 2020(指導学生が獲得).

Patent(特許)

  1. トラヒック制御方法, 特許5583075, 2014.

  2. 通信装置及びネットワーク管理方法及びプログラム, 特許5588936 , 2014.

  3. ストリーミング配信システム、ストリーミング配信制御方法、ディスパッチサーバ装置、及びプログラム, 特許5806976 , 2015.

  4. データの分散管理システム及び装置及び方法及びプログラム, 特許5818263, 2015.

  5. データ配送システム及びデータ配送装置及び方法, 特許5818262 , 2015.

  6. 通信管理方法及びノード, 特許6194296, 2017.

  7. データキャッシュ方法、ノード装置及びプログラム, 特許6319694, 2018.

  8. 仮想状態定義装置、仮想状態定義方法及び仮想状態定義プログラム, 特許6332802, 2018.

  9. 配信要求分散方法、ノード、及びプログラム, 特許6353395, 2018.

10-. その他7件の特許取得, 特開10件(2019年5月現在).