Takanori HARA
Associate Professor
Large-Scale Systems Management Laboratory
Division of Information Science
Nara Institute of Science and Technology
Email: hara.takanori[at]is.naist.jp, hara[at]ieee.org
Biography
Takanori Hara received the B.Eng. degree from National Institution for Academic Degrees and Quality Enhancement of Higher Education in 2016 and the M.Eng. and Ph.D. degrees from Nara Institute of Science and Technology, Japan, in 2018 and 2021. He was with the Division of Information Science, Nara Institute of Science and Technology from 2021 to 2024, as an Assistant Professor. He is currently an Associate Professor with the Division of Information Science, Nara Institute of Science and Technology, Japan. His research interests include AI/ML empowered networking, network virtualization, eBPF/XDP, pedestrian navigation, incentive mechanism design, and game-theoretic approaches.
Research Interests
- AI/ML for Networking
- eBPF/XDP
- NFV/SDN
- Game-theoretical Approach
- Pedestrian Navigation
Education
- Mar. 2021: Ph.D., Division of Information Science, Nara Institute of Science and Technology.
- Mar. 2018: M.Eng., Department of Information Science, Nara Institute of Science and Technology.
- Mar. 2016: B.Eng., National Institution for Academic Degrees and Quality Enhancement of Higher Education.
- Mar. 2016: Finished, Advanced Electronic and Information Engineering Course, National Institute of Technology, Nara College.
- Mar. 2014: A.Eng., Department of Information Engineering, National Institute of Technology, Nara College.
Publications (Recent 5 years)
Refereed Journal
- K. Yamada, T. Hara, S. Kasahara, “Repeated Stochastic Game and Lyapunov Optimization for Mining Task Offloading in Decentralized Applications,” IEICE Transactions on Communications, vol. E107-B, no. 12, pp.1-9, Dec. 2024. doi:10.23919/transcom.2024CEP0001 [paper (OA)]
- T. Hara and M. Sasabe, “Capacitated Shortest Path Tour Based Service Chaining Adaptive to Changes of Service Demand and Network Topology,” IEEE Transactions on Network and Service Management, vol. 21, no. 2, pp. 1344-1358, Apr. 2024. doi:10.1109/TNSM.2024.3351737 [IF: 5.3] [paper (OA)].
- T. Hara and M. Sasabe, “Practicality of in-Kernel/User-space Packet Processing Empowered by Lightweight Neural Network and Decision Tree,” Computer Networks, vol. 240, pp.1-18, Feb. 2024. doi:10.1016/j.comnet.2024.110188 [IF: 5.6] [paper (OA)].
- M. Sasabe, M. Otani, T. Hara, S. Kasahara, “Path Reachability Including Distance-Constrained Detours,” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, pp.79-92, Feb. 2024. doi:10.1177/1748006X221133600 [IF: 2.021] [paper (1.7 MB pdf)]
- T. Hara, M. Sasabe, K. Sugihara, S. Kasahara, “Resource-Efficient and Availability-Aware Service Chaining and VNF Placement with VNF Diversity and Redundancy,” IEICE Transactions on Communications, vol. E107-B, no. 1 pp. 105-116, Jan. 2024. doi:10.1587/transcom.2023WWP0003 [paper (1.6 MB pdf)]
- J. Kawahara, T. Hara, and M. Sasabe, “On Robustness against Evacuees’ Unexpected Movement in Automatic Evacuation Guiding,” Computers & Electrical Engineering, vol. 105, pp.108531: 1-17, Jan. 2023. doi:10.1016/j.compeleceng.2022.108531 [IF: 4.152] [paper (923 KB pdf)]
- T. Hara and M. Sasabe, “Speedy and Efficient Service Chaining and Function Placement Based on Lagrangian Heuristics for Capacitated Shortest Path Tour Problem,” Journal of Network and Systems Management, vol. 31, no. 1, pp. 1-34, Dec. 2022. doi:10.1007/s10922-022-09715-y [IF: 2.198] [paper (962 KB pdf)]
- T. Hara, M. Sasabe, and S. Kasahara, “Multi-Agent Distributed Route Selection under Consideration of Time Dependency among Agents’ Road Usage,” IEICE Transactions on Communications, vol. E105-B, no. 2, pp. 140–150, Feb. 2022. doi:10.1587/transcom.2021CET0001 [paper (1.8 MB pdf)]
- M. Sasabe and T. Hara, “Capacitated Shortest Path Tour Problem Based Integer Linear Programming for Service Chaining and Function Placement in NFV Networks,” IEEE Transactions on Network and Service Management, vol. 18, no. 1, pp.104-117, March 2021. doi:10.1109/TNSM.2020.3044329 [IF: 4.758] [paper (1.7 MB pdf)].
- T. Hara, M. Sasabe, and S. Kasahara, “Selfish Yet Optimal Routing by Adjusting Perceived Traffic Information of Road Networks,” IEEE Open Journal of Intelligent Transportation Systems, vol. 1, pp.120-133, Aug. 2020. doi:10.1109/OJITS.2020.3019935 [IF: 2.6] [paper (OA)].
- T. Hara, M. Sasabe, T. Matsuda, and S. Kasahara, “Capacitated Refuge Assignment for Speedy and Reliable Evacuation,” ISPRS International Journal of Geo-Information, vol. 9, no. 7, pp.1-19, Jul. 2020. doi:10.3390/ijgi9070442 [IF: 2.899] [paper (OA)].
- T. Hara, M. Sasabe, and S. Kasahara, “Geographical Risk Analysis Based Path Selection for Automatic, Speedy, and Reliable Evacuation Guiding Using Evacuees’ Mobile Devices,” Journal of Ambient Intelligence and Humanized Computing, vol. 10, pp.2291-2300, Jun. 2019. doi:10.1007/s12652-018-0826-z [IF: 7.104] [paper (2.9 MB pdf)].
Refereed International Conference
- L. Quarm, T. Hara, and S. Kasahara “Integer Linear Programming Formulation for Energy Efficient Mobility-aware Network Slicing in an Open Radio Access Network,” in Proc. of the International Conference Emerging Technologies for Communications (ICETC 2024), p. 1, Nov. 2024. (Poster).
- H. Taguchi, T. Hara, and S. Kasahara “On Performance Analysis of Quantized Unsupervised Learning for In-Kernel Flow-Based Intrusion Detection Systems,” in Proc. of the International Conference Emerging Technologies for Communications (ICETC 2024), p. 1, Nov. 2024. (Poster).
- K. Yamada, T. Hara, and S. Kasahara “A Repeated Stochastic Game Approach for Offload Mining in Distributed Applications in a Permissionless Blockchain Network,” in Proc. of the International Conference Emerging Technologies for Communications (ICETC 2023), p.1, Nov. 2023. (Poster) doi:10.34385/proc.79.P1-6 [paper (189 KB pdf)].
- T. Hara and M. Sasabe, “On Practicality of Kernel Packet Processing Empowered by Lightweight Neural Network and Decision Tree,” in Proc. of the International Conference on Network of the Future (NoF 2023), pp.89-97, Oct. 2023. doi:10.1109/NoF58724.2023.10302811 (full paper) (acceptance rate: 28% (12/43)) [paper (487 KB pdf)].
- T. Hara and M. Sasabe, “Deep Reinforcement Learning with Graph Neural Networks for Capacitated Shortest Path Tour based Service Chaining,” in Proc. of the International Conference on Network and Service Management (CNSM 2022), pp.19-27, Oct. 2022. doi:10.23919/CNSM55787.2022.9965166 (full paper) (acceptance rate: 15.3% (18/118)) [paper (1 MB pdf)].
- T. Hara and M. Sasabe, “Lagrangian Heuristics for Capacitated Shortest Path Tour Problem Based Online Service Chaining,” in Proc. of the IEEE/IFIP Network Operations and Management Symposium (NOMS 2022), pp.1-9, Apr. 2022. doi:10.1109/NOMS54207.2022.9789758 (full paper) (acceptance rate: 25.1% (43/171)) [paper (474 KB pdf)].
- T. Hara, M. Sasabe, and S. Kasahara, “Distributed Route Selection under Consideration of Time Dependency among Agents’ Road Usage for Vehicular Networks,” in Proc. of the International Conference on Emerging Technologies for Communications (ICETC 2020), pp.1-4, Dec. 2020. doi:10.34385/proc.63.E2-1 (Best Paper Award) [paper (782 KB pdf)].
- H. Shimizu, T. Hara, T. Iwata, “Deep Reinforcement Learning for Pedestrian Guidance,” in Proc. of the International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2020), pp.334-342, Nov. 2020. doi:10.1007/978-3-030-69322-0_22 (short paper) [paper (2.4 MB pdf)].
- M. Sasabe and T. Hara, “Shortest Path Tour Problem Based Integer Linear Programming for Service Chaining in NFV Networks,” in Proc. of the IEEE International Conference on Network Softwarization (IEEE NetSoft 2020), pp.114-121, June 2020. doi:10.1109/NetSoft48620.2020.9165364 (full paper) (acceptance rate: 18.9% (18/95)) [paper (4.6 MB pdf)].
Funds and Grants
- 日本学術振興会・基盤研究(B), “次世代分散型インターネットに向けた耐結託性をもつ合意形成メカニズム,” 24K02931, 分担者, 2024-04-01 – 2027-03-31.
- 日本学術振興会・若手研究, “コンテナ技術に基づく自己変革能力を備えたネットワークスライスモビリティの実現,” 23K16869, 代表者, 2023-04-01 – 2026-03-31.
- 日本学術振興会・基盤研究(B), “数理最適化と時空間GNNを用いた持続可能なNFVネットワークの実現,” 22H03586, 23K24842, 分担者, 2022-04-01 – 2025-03-31.
- 日本学術振興会・挑戦的研究(萌芽), “不正耐性をもつ投票型合意形成を実現するコンセンサス・コンピューティング,” 22K19776, 分担者, 2022-06-30 – 2024-03-31
- 日本学術振興会・研究活動スタート支援, “NFVネットワークのトポロジ構成の変化に追随可能なサービスチェイニング,” 21K21288, 代表者, 2021-08-30 – 2023-03-31.
- 日本学術振興会・基盤研究(A), “超スケーラブル汎用ブロック・チェーン技術に向けた情報学的研究,” 19H01103, 分担者, 2021-08-30 – 2023-03-31.
- 日本学術振興会・特別研究員奨励費, “ユーザの利己性を考慮した群衆誘導,” 20J11108, 代表者, 2020-04-24 – 2022-03-31.