Publications (last 5 years)

Journal

  1. 松田 雄河, 山手 響介, 近藤 将成, 柏 祐太郎, 亀井 靖高, 鵜林 尚靖, “実行経路を考慮した自動テストケース生成が自動プログラム修正に与える影響の分析”, コンピュータソフトウェア, Jan. 2023.
  2. Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Osamu Mizuno, “An Empirical Study of Issue-Link Algorithms: Which Issue-Link Algorithms Should We Use?”, Empirical Software Engineering, Nov. 2022.
  3. Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Pattara Leelaprute, Hajimu Iida, “Automated Quantization and Retraining for Neural Network Models Without Labeled Data”, IEEE Access, Jul. 2022. doi:10.1109/ACCESS.2022.3190627
  4. Yutaro Kashiwa, Ryoma Nishikawa, Yasutaka Kamei, Masanari Kondo, Emad Shihab, Ryosuke Sato, Naoyasu Ubayashi, “An Empirical Study on Self-Admitted Technical Debt in Modern Code Review”, Information and Software Technology, Jun. 2022.
  5. 新堂 風, 近藤 将成, 柏 祐太郎, 東 英明, 柗本 真佑, 亀井 靖高, 鵜林 尚靖, “コンテナ仮想化技術におけるSATDの削除に関する調査”, 情報処理学会論文誌, Apr. 2022.
  6. Wassapon Watanakeesuntorn, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida, “Opimon: A Transparent, Low-overhead Monitoring System for OpenFlow Networks”, IEICE Transactions on Communications, Apr. 2022. doi:10.1587/transcom.2021EBP3083
  7. Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Y. Choi, Keichi Takahashi, Kevin Huck, Igor Yakushin, Alan Sussman, Todd Munson, Ian Foster, Scott Klasky, “A codesign framework for online data analysis and reduction”, Concurrency and Computation: Practice and Experience, Aug. 2021. doi:10.1002/cpe.6519
  8. 佐伯 幸郎, 福安 直樹, 神田 哲也, 市川 昊平, 吉田 真一, 中村 匡秀, 楠本 真二, “自己評価と客観評価の変化にもとづく実践的人材育成コースにおける質的教育効果の測定”, コンピュータソフトウェア, Jan. 2021. doi:10.11309/jssst.38.1_52
  9. William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip Davis, Jong Choi, Kai Germaschewski, Kevin Huck, Axel Huebl, Mark Kim, James Kress, Tahsin Kurc, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky, “ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management”, SoftwareX, Jul. 2020. doi:10.1016/j.softx.2020.100561
  10. 佐伯幸郎, 福安直樹, 神田哲也, 市川昊平, 吉田真一, 中村匡秀, 楠本真二, “自動発注問題を題材とした実践的人材育成コースにおける授業改善”, コンピュータソフトウェア, Feb. 2020. doi:10.11309/jssst.37.1_19
  11. Kensworth Subratie, Saumitra Aditya, Vahid Daneshmand, Kohei Ichikawa, Renato Figueiredo, “On the Design and Implementation of IP-over-P2P Overlay Virtual Private Networks”, IEICE Transactions on Communications, Jan. 2020. doi:10.1587/transcom.2019CPI0001
  12. 上村 恭平, 中才 恵太朗, 大神 勝也, 畑　秀明, 一ノ瀬 智浩, 松本　健一, 飯田　元, “Codosseum: オープンなソフトウェア開発・分析支援Webサービス”, コンピュータソフトウェア, Jan. 2019. doi:10.11309/jssst.36.38
  13. 横井 一輝,, 崔　恩瀞, 吉田 則裕, 井上 克郎, “情報検索技術に基づく細粒度ブロッククローン検出”, コンピュータソフトウェア, Oct. 2018. doi:10.11309/jssst.35.16
  14. 上村 恭平, 森 彰, 藤原 賢二, 崔　恩瀞, 飯田　元, “ハードウェア記述言語におけるコードクローンの定量的調査”, 情報処理学会論文誌, Apr. 2018.

International Conference

  1. Daisuke Fukumoto, Yutaro Kashiwa, Toshiki Hirao, Kenji Fujiwara, Hajimu Iida, “An Empirical Investigation on the Performance of Domain Adaptation for T5 Code Completion”, The 30th IEEE International Conference on Software Analysis, Evolution and Reengineering, Mar. 2023.
  2. Olivier Nourry, Yutaro Kashiwa, Bin Lin, Gabriele Bavota, Michele Lanza, Yasutaka Kamei, “AIP: Scalable and Reproducible Execution Traces in Energy Studies on Mobile Devices”, The 38th IEEE International Conference on Software Maintenance and Evolution (ICSME2022), Oct. 2022.
  3. Kyosuke Yamate, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi, “Hey APR! Integrate Our Fault Localization Skill: Toward Better Automated Program Repair”, The 46th IEEE Annual Computers, Software, and Applications Conference (COMPSAC2022), Jun. 2022.
  4. Hiroki Kuramoto, Masanari Kondo, Yutaro Kashiwa, Yuta Ishimoto, Kaze Shindo, Yasutaka Kamei, Naoyasu Ubayashi, “Do Visual Issue Reports Help Developers Fix Bugs? - A Preliminary Study of Using Videos and Images to Report Issues on GitHub -”, The 30th IEEE/ACM International Conference on Program Comprehension (ICPC 2022), May. 2022.
  5. Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Pattara Leelaprute, Hajimu Iida, “Sparse Communication for Federated Learning”, 6th IEEE International Conference on Fog and Edge Computing (ICFEC 2022), May. 2022. doi:10.1109/ICFEC54809.2022.00008
  6. Tomoki Sugiura, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, “Acar: An application-aware network routing system using SRv6””, 19th Annual Consumer Communications & Networking Conference (CCNC), Jan. 2022. doi:10.1109/CCNC49033.2022.9700608
  7. Kohei Ichikawa, “Research Presentation Techniques”, PRAGMA Student Workshop 2021, Nov. 2021.
  8. Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat Nakasan, Kazufumi Yuasa, Tadatoshi Babasaki, Hajimu Iida, “Enhancing the Prediction Accuracy of Solar Power Generation using a Generative Adversarial Network”, IEEE Green Energy and Smart Systems Conference (IGESSC 2021), Nov. 2021. doi:10.1109/IGESSC53124.2021.9618702
  9. Guoqing Li, Dario Faggioli, “KubeVirt and The Cost of Containerizing VMs”, KVM Forum 2021, Sep. 2021.
  10. Sopicha Stirapongsasuti, Kundjanasith Thonglek, Shinya Misaki, Yugo Nakamura, Keiichi Yasumoto, “INSHA: Intelligent Nudging System for Hand Hygiene Awareness”, The 21th ACM International Conference on Intelligent Virtual Agents (IVA ‘21), Sep. 2021. doi:10.1145/3472306.3478355
  11. Keichi Takahashi, Wassapon Watanakeesuntorn, Kohei Ichikawa, Joseph Park, Ryousei Takano, Jason Haga, George Sugihara, Gerald M. Pao, “kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos”, Practice and Experience in Advanced Research Computing (PEARC 2021), Jul. 2021. doi:10.1145/3437359.3465571
  12. Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Pree Thiengburanathum, Passakorn Phannachitta, “Comparative Performance Study of Lightweight Hypervisors Used in Container Environment”, 11th International Conference on Cloud Computing and Services Science (CLOSER 2021), Apr. 2021. doi:10.5220/0010440502150223
  13. Erina Makihara, Hiroshi Igaki, Norihiro Yoshida, Kenji Fujiwara, Hajimu Iida, “Understanding Build Errors in Agile Software Development Project-Based Learning”, 27th Asia-Pacific Software Engineering Conference (APSEC 2020), Dec. 2020. doi:10.1109/APSEC51365.2020.00039
  14. Wassapon Watanakeesuntorn, Keichi Takahashi, Kohei Ichikawa, Joseph Park, George Sugihara, Ryousei Takano, Jason Haga, Gerald M. Pao, “Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution”, 26th International Conference on Parallel and Distributed Systems (ICPADS 2020), Dec. 2020. doi:10.1109/ICPADS51040.2020.00035
  15. Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hajimu Iida, “Federated Learning of Neural Network Models with Heterogeneous Structures”, 19th International Conference on Machine Learning and Applications (ICMLA 2020), Dec. 2020. doi:10.1109/ICMLA51294.2020.00120
  16. Mitsuaki Tsuji, Toshinori Takai, Kazuki Kakimoto, Naoko Ishihama, Masafumi Katahira, Hajimu Iida, “Prioritizing Scenarios based on STAMP/STPA Using Statistical Model Checking”, The 4th IEEE International Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS'20), Oct. 2020. doi:10.1109/ICSTW50294.2020.00032
  17. Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Hajimu Iida, “Retraining Quantized Neural Network Models with Unlabeled Data”, International Joint Conference on Neural Network (IJCNN), Jul. 2020. doi:10.1109/IJCNN48605.2020.9207190
  18. Keichi Takahashi, Susumu Date, Yasuhiro Watashiba, Yoshiyuki Kido, Shinji Shimojo, “Integrating SDN-Enhanced MPI with Job Scheduler to Support Shared Clusters”, 28th Workshop on Sustained Simulation Performance, Mar. 2020. doi:10.1007/978-3-030-39181-2_13
  19. Kundjanasith Thonglek, Wassapon Watanakeesuntorn, Kohei Ichikawa, Keichi Takahashi, Chawanat Nakasan, Hajimu Iida, “SharingNets: an open source repository for sharing pre-trained neural networks”, Symposium on Frontier Research in Information Science and Technology 2019, Dec. 2019.
  20. Seiji Tsutsumi, Naoyuki Fujita, Hiroyuki Ito, Daichi Obinata, Keisuke Inoue, Yosuke Matsumura, Keichi Takahashi, Greg Eisenhauer, Norbert Podhorszki, Scott Klasky, “In Situ and In Transit Visualization for Numerical Simulations in HPC”, In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV 2019), Nov. 2019.
  21. Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd Munson, Ian Foster, Scott Klasky, “A Codesign Framework for Online Data Analysis and Reduction”, Workflows in Support of Large-Scale Science (WORKS 2019), Nov. 2019. doi:10.1109/WORKS49585.2019.00007
  22. Juan Sebastian Aguirre, Yoshiyuki Kido, Susumu Date, Shinji Shimojo, Kohei Ichikawa, Atsuko Takefusa, “Near Real-time Failover Model for Continuous Inter-Domain Communication”, The 37th PRAGMA workshop, Sep. 2019.
  23. Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat Nakasan, Hajimu Iida, “Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model”, Workshop on Monitoring and Analysis for High Performance Computing Systems Plus Applications (HPCMASPA 2019), Sep. 2019. doi:10.1109/CLUSTER.2019.8891022
  24. Wassapon Watanakeesuntorn, Kohei Ichikawa, Keichi Takahashi, Hajimu Iida, “An Interactive Monitoring Tool for OpenFlow Networks”, The 37th PRAGMA Workshop, Sep. 2019.
  25. Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat Nakasan, Hajimu Iida, “Compressing Recurrent Neural Network Models using Vector Quantization”, The 37th PRAGMA Workshop, Sep. 2019.
  26. Wassapon Watanakeesuntorn, Kohei Ichikawa, Keichi Takahashi, Jason Haga, Gerald Pao, “Modeling of Complete Zebrafish Brain Neural Activities on ABCI”, The 37th PRAGMA Workshop, Sep. 2019.
  27. Vahid Daneshmand, Renato Figueiredo, Kohei Ichikawa, Keichi Takahashi, Kundjanasith Thonglek, “Investigating the Performance and Scalability of Kubernetes on Distributed Cluster of Resource-Constrained Edge Devices”, The 37th PRAGMA Workshop, Sep. 2019.
  28. Wassapon Watanakeesuntorn, Kohei Ichikawa, Keichi Takahashi, Jason Haga, Gerald Pao, “Calculation of Complete Zebrafish Brain Neural Activities on ABCI”, The 36th PRAGMA workshop, Apr. 2019.
  29. Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat Nakasan, Hajimu Iida, “Towards Optimal Resource Utilization in Data Centers using Long Short-Term Memory”, The 36th PRAGMA Workshop, Apr. 2019.
  30. Kundjanasith Thonglek, Kohei Ichikawa, Chatchawal Sangkeettrakarn, Apivadee Piyatumrong, “Auto-Scaling Apache Spark Cluster using Deep Reinforcement Learning”, International Conference on Optimization and Learning 2019, Jan. 2019.
  31. Kohei Ichikawa, Atsuko Takefusa, Yasuhiro Watashiba, Yoshiyuki Kido, Susumu Date, “An international SDN testbed and NFV applications”, The 3rd RICC-RIEC workshop, Dec. 2018.
  32. Kazuki Yokoi, Eunjong Choi, Norihiro Yoshida, Katsuro Inoue, “Investigating Vector-based Detection of Code Clones Using BigCloneBench”, Proceedings of the 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Poster Track, Dec. 2018.
  33. Yuichi Semura, Norihiro Yoshida, Eunjong Choi, Katsuro Inoue, “Multilingual Detection of Code Clones Using ANTLR Grammar Definitions”, Proceedings of the 25th Asia-Pacific Software Engineering Conference (APSEC 2018), ERA Track, Dec. 2018.
  34. Panida Khuphiran, Pattara Leelaprute, Putchong Uthayopas, Kohei Ichikawa, Wassapon Watanakeesuntorn, “Performance Comparison of Machine Learning Models for DDoS Attacks Detection”, The 22nd International Computer Science and Engineering Conference (ICSEC 2018), Nov. 2018. doi:10.1109/ICSEC.2018.8712757
  35. Eunjong Choi, Daiki Tanaka, Norihiro Yoshida, Kenji Fujiwara, Daniel Port, Hajimu Iida, “An Investigation of the Relationship Between Extract Method and Change Metrics: A Case Study of JEdit”, Proceedings of the 25th Asia-Pacific Software Engineering Conference (APSEC 2018), ERA Track, Oct. 2018.
  36. Wassapon Watanakeesuntorn, Kohei Ichikawa, Jason Haga, Gerald Pao, Erik Saberski, “rEDM Code Acceleration with ABCI Supercomputer”, The 35th PRAGMA workshop, Oct. 2018.
  37. Kohei Ichikawa, Atsuko Takefusa, Yoshiyuki Kido, Yasuhiro Watashiba, Susumu Date, “Integrating PRAGMA-ENT and Inter-Cloudusing Dynamic L2VLAN Service”, The 35th PRAGMA Workshop, Oct. 2018.
  38. Sachio Saiki, Naoki Fukuyasu, Kohei Ichikawa, Tetsuya Kanda, Masahide Nakamura, Shinsuke Matsumoto, Shinichi Yoshida, Shinji Kusumoto, “A Study of Practical Education Program on AI, Big Data, and Cloud Computing through Development of Automatic Ordering System”, 3rd IEEE/ACIS International Conference on Big Data, Cloud computing, and Data Science Engineering (BCD 2018), Jul. 2018. doi:10.1109/BCD2018.2018.00013
  39. Kisub Kim, Dongsun Kim, Tegawendé F. Bissyandé, Eunjong Choi, Li Li, Jacques Klein, Yves Le Traon, “FaCoY – A Code-to-Code Search Engine”, Proceedings of the 40th International Conference on Software Engineering, May. 2018.
  40. Wassapon Watanakeesuntorn, Kohei Ichikawa, Hajimu Iida, Putchong Uthayopas, “A proposal of a real-time OpenFlow DDoS detection tool”, The 34th PRAGMA workshop, Apr. 2018.
  41. Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida, “Performance Evaluation of Simple Multipath OpenFlow Controller in a Ceph Distributed Storage System Environment”, The 34th PRAGMA workshop, Apr. 2018.

Book

  1. Kundjanasith Thonglek, Kohei Ichikawa, Chatchawal Sangkeettrakarn, Apivadee Piyatumrong, “Auto-Scaling System in Apache Spark Cluster Using Model-Based Deep Reinforcement Learning”, Heuristics for Optimization and Learning (Studies in Computational Intelligence), Dec. 2020. doi:10.1007/978-3-030-58930-1_23

Domestic Conference and Symposium

  1. 菱川 潤哉, 福本 大介, ポルマニラタナタイ　ソラタチ, 柏 祐太郎, 平尾 俊貴, 藤原 賢二, 飯田　元, “複数プロジェクトにおいて技術的負債の除去に貢献するOSS開発者の分析にむけて”, 知能ソフトウェア工学研究会 （KBSE）, Jan. 2023.
  2. 井原 輝人, 福本 大介, 柏 祐太郎, 平尾 俊貴, 藤原 賢二, 飯田　元, “Data Flow Graphを用いた自動コードレビューに向けて”, ウィンターワークショップ2023・イン・富山, Jan. 2023.
  3. 福本 大介, 柏 祐太郎, 平尾 俊貴, 藤原 賢二, 飯田　元, “プロジェクトに適したコード補完モデルの実現に向けて”, ウィンターワークショップ2023・イン・富山, Jan. 2023.
  4. 福本大介, 平尾俊貴, 藤原賢二, 飯田元, “開発プロジェクトのドメインに特化したRoBERTaによるコード補完モデルの提案”, ソフトウェアサイエンス研究会 (SS), Mar. 2022.
  5. 井原輝人, 平尾俊貴, 藤原賢二, 飯田元, “ソースコードの文構造に着目したコードレビュー自動化モデルの提案”, ソフトウェアサイエンス研究会 (SS), Mar. 2022.
  6. 杉浦智基, 高橋　慧智, 市川　昊平, “アプリケーション構成ファイルの図示化における中間表現の提案”, RICC-PIoT Workshop 2022, Feb. 2022.
  7. Hideaki Takahashi, Keichi Takahashi, Kohei Ichikawa, “Difficulty of detecting overstated dataset size in Federated Learning”, 第189回マルチメディア通信と分散処理研究発表会, Dec. 2021.
  8. 井原輝人, 内田眞司, 飯田元, “自然言語処理的アプローチによるクラス図関連線の予測”, ソフトウェア・シンポジウム 2021, Jun. 2021.
  9. Kundjanasith Thonglek, Kohei Ichikawa, Kazufumi Yuasa, Tadatoshi Babasaki, “LSTM-based Neural Network Model for Predicting Solar Power Generation”, 電子通信エネルギー技術研究会 (IEICE-EE), May. 2021.
  10. 杉浦智基, 高橋慧智, 市川昊平, 飯田元, “SRv6を用いたアプリケーションの特性を考慮した通信経路制御手法”, 情報処理学会 研究報告インターネットと運用技術 (IOT), May. 2021.
  11. 杉浦智基, 高橋慧智, 市川昊平, “SRv6を用いたアプリケーションの特性を考慮した通信経路決定手法の提案”, RICC-PIoT Workshop 2021, Mar. 2021.
  12. 村木 暢哉, 木戸 善之, 高橋 慧智, 山田 拓哉, 伊達 進, 梅谷 麗, 石橋 靖嗣, 下條 真司, “共有型IoT資源利用アプリケーションのためのデータフロープログラミング”, 第150回システムソフトウェアとオペレーティング・システム研究発表会 (SWoPP 2020), Jul. 2020.
  13. 辻光顕, 高井利憲, 柿本和希, 石濱直樹, 片平真史, 飯田元, “統計的モデル検査法を用いたSTAMP/STPAにおけるシナリオのリスク分析”, ウィンターワークショップ2020・イン・京都, Jan. 2020.
  14. Kohei Ichikawa, Atsuko Takefusa, Yasuhiro Watashiba, Yoshiyuki Kido, Susumu Date, “Deployment of NFV environment on an international SDN testbed”, RICC-RIEC workshop 2019, Dec. 2019.
  15. 堤誠司, 藤田直行, 伊藤浩之, 大日向大地, 井上敬介, 松村洋祐, 高橋慧智, Greg Eisenhauer, Norbert Podhorszki, Scott Klasky, “In Situ/In Transitアプローチを用いた大規模数値解析におけるポスト処理効率化”, 第33回数値流体力学シンポジウム, Nov. 2019.
  16. 倉地亮介, 崔恩瀞, 飯田元, “類似コード検出ツールを用いたテストコード再利用に向けた調査”, 第26回 ソフトウェア工学の基礎ワークショップ FOSE2019, Nov. 2019.
  17. 鐘ヶ江由佳, 崔恩瀞, 飯田元, “OSSプロジェクトにおけるCIツールの変更の影響調査に向けて”, 第26回 ソフトウェア工学の基礎ワークショップ FOSE2019, Nov. 2019.
  18. 辻光顕, 高井　利憲, 片平　真史, 石濱　直樹, 柿本和希, 飯田　元, “ハイブリッドシステムの安全検証に向けた形式的なSTAMPモデルの提案”, ソフトウェアサイエンス研究会, Mar. 2019.
  19. 竹房あつ子, 市川昊平, 栗本崇, 合田憲人, “国際的なオンデマンドネットワークのためのトークンベース認証機構の研究”, 研究報告インターネットと運用技術（IOT）, Mar. 2019.
  20. 佐伯幸郎, 福安直樹, 神田哲也, 市川昊平, 吉田真一, 中村匡秀, 楠本真二, “自動発注問題を題材とした実践的人材育成コースにおける授業改善の報告”, 第5回 実践的IT教育シンポジウム (rePiT2019), Jan. 2019.
  21. 藤原 裕士, 崔　恩瀞, 吉田 則裕, 井上 克郎, “順伝播型ニューラルネットワークを用いた類似コードブロック検索の試み”, ソフトウェアエンジニアリングシンポジウム2018論文集, Sep. 2018.
  22. 市川昊平, 竹房あつ子, 木戸善之, 渡場康弘, 伊達進, “広域SDN環境とオンデマンドクラウド構築サービスを用いたソフトウェア定義クラウド環境構築に関する提案”, 情報処理学会 研究報告インターネットと運用技術（IOT）, Mar. 2018.
  23. Pongsakorn U-Chupala, Yasuhiro Watashiba, Kohei Ichikawa, Hajimu Iida, “Towards Self-Optimizing Network: Applying Deep Learning to Network Traffic Categorization and Identification in the Context of Application-Aware Network”, 情報処理学会 研究報告インターネットと運用技術（IOT）, Mar. 2018.
  24. Wassapon Watanakeesuntorn, Kohei Ichikawa, Hajimu Iida, “A proposal of a real-time OpenFlow DDoS detection tool”, 情報処理学会 研究報告インターネットと運用技術（IOT）, Mar. 2018.

Annual Domestic Meeting

  1. 平尾 俊貴, Shane McIntosh, Akinori Ihara, 松本　健一, “Code Reviews With Divergent Review Scores: An Empirical Study of the OpenStack and Qt Communities”, 第21回情報科学技術フォーラム（FIT2022）, Sep. 2022.

Award

  1. Yutaro Kashiwa, “IEEE CS Kansai Chapter Young Author Award 2022”, IEEE CS, Dec. 2022.
  2. Kundjanasith Thonglek, Kohei Ichikawa, Kazufumi YUASA, Tadatoshi BABASAKI, “若手エンジニア論文発表賞”, 電子情報通信学会・電子通信エネルギー技術研究専門委員会, Jan. 2022.
  3. Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat Nakasan, Hajimu Iida, “Best Presentation Award”, The 36th PRAGMA Workshop, May. 2019.
  4. Kisub Kim, Dongsun Kim, , Tegawendé F. Bissyandé, 崔　恩瀞, Li Li, Jacques Klein, Yves Le Traon, “情報処理学会ソフトウェア工学卓越研究賞”, 情報処理学会ソフトウェア工学研究会, Sep. 2018.
  5. Sachio Saiki, Naoki Fukuyasu, Kohei Ichikawa, Tetsuya Kanda, Masahide Nakamura, Shinsuke Matsumoto, Shinichi Yoshida, Shinji Kusumoto, “Best paper award”, 3rd IEEE/ACIS International Conference on Big Data, Cloud computing, and Data Science Engineering (BCD 2018), Jul. 2018.

Misc

  1. Shinji Shimojo, Keichi Takahashi, “Study on Data Staging Technique for Efficient Post-Processing in Large-Scale CFD Computation”, JAXA Supercomputer System Annual Report, Sep. 2019.
  2. Scott Klasky, Norbert Podhorszki, Jason Ruonan Wang, Susumu Date, Keichi Takahashi, Osamu Tatebe, Taisuke Boku, “Enhancing ADIOS for extreme-scale data movement”, US DOE and Japan MEXT Collaboration on Extreme Computing 2019, May. 2019.