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下西研究室

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研究室の特色

実利用シーンを強く意識した研究

ミーティングでは企業の方々とも議論を重ねます

実機を多く用いた実験

実際のデータセンタでの実験データを利用
多数のセンサ端末を利用した実証実験

快適な研究環境

PC、ノートPC、他必要な機材の支給
出張費用のサポート、など

充実した研究支援

定期的な研究進捗ミーティング
週1回の英語論文輪講
必要に応じて勉強会、発表練習、など

ギャラリー

研究成果

  • ‘Liquid immersion cooling technology with natural convection in data center’ in Proceedings of IEEE CloudNet 2017, September 2017.

    Morito Matsuoka, Kazuhiro Matsuda and Hideo Kubo
  • ‘A Novel Automated Tiered Storage Architecture for Achieving both Cost Saving and QoE‘ in Proceedings of IEEE SC2 2018, November 2018.

    Ryo Irie, Ying-Feng Hsu, Shuuichirou Murata and Morito Matsuoka
  • ‘High-Performance Sequence Analysis Engine for Shotgun Metagenomics Sequence comparison through GPU Acceleration’ in Proceedings of IEEE International Conference on Bioinformatics and Bioengineering (BIBE) 2018, October 2018.

    Ying-Feng Hsu, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura
  • ‘Consensus Building for users with various preference’ in Proceedings of ICT Convergence 2018, October 2018.

    Yuya Tarutani
  • ‘Dynamic power consumption prediction and optimization of data center by using deep learning and computational fluid dynamics’ in Proceedings of IEEE CloudNet 2018, October 2018.

    Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda and Morito Matsuoka
  • ‘A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification’ in Proceedings of IEEE Cloud 2018, July 2018.

    Ying-Feng Hsu, Ryo Irie, Shuichiro Murata and Morito Matsuoka
  • ‘Self-Aware Workload Forecasting in Data Center Power Prediction’ in Proceedings of IEEE CCGRID 2018, May 2018.

    Ying-Feng Hsu, Kazuhiro Matsuda and Morito Matsuoka
  • ‘Proposal of Cooling Method for HPC by Drip Feeding Cooling’ in Proceedings of ASHRAE 2018 Winter Conference, January 2018.

    Morito Matsuoka and Yuichiro Miyake
  • ‘Effective Cooling of Server Boards in Data Centers by Liquid Immersion Based on Natural Convection Demonstrating PUE below 1.04’ in Proceedings of ASHRAE 2018 Winter Conference, January 2018.

    Morito Matsuoka, Kazuhiro Matsuda and Hideo Kubo
  • ‘Toward an Online Network Intrusion Detection System Based on Ensemble Learning’ IEEE International Conference on Cloud Computing 2019, July,2019.

    Ying-Feng Hsu, ZhenYu He, Yuya Tarutani, Morito Matsuoka
  • ‘Real-time workload allocation optimizer for computing systems by using deep learning' IEEE International Conference on Cloud Computing 2019, July,2019.

    Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda and Morito Matsuoka
  • ‘Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification’ AIME 2019 17th Conference on Artificial Intelligence in Medicine, July,2019.

    Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, and Shota Nakamura
  • ‘Toward a Workload Allocation Optimizer for Power Saving in Data Centers’ IEEE International Conference on Cloud Engineering (IC2E), July,2019.

    Ying-Feng Hsu, Hayato Kuwahara, Kazuhiro Matsuda, and Morito Matsuoka
  • ‘Feasibility Study of Liquid Immersion Technology for Cooling Network Equipment' OCP Future Technologies Symposium, May,2020.

    Natsuko Kobayashi, Kazuhiro Matsuda, Yasunori Ooka and Morito Matsuoka
  • ‘High-Performance Virus Detection System by using Deep Learning' IEEE WCCI 2020 Coference, July,2020.

    Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka and Shota Nakamura
  • ‘A Deep Reinforcement Learning Approach for Anomaly Network Intrusion Detection System’ IEEE CloudNet 2020 (IEEE International Conference on Cloud Networking) Coference, November,2020.

    Ying-Feng Hsu and Morito Matsuoka

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