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    • 2021.01.25:
    • Ryoma Kondo (D3), Takashi Ubukata (D2), Kentaro Matsuura (D1), and Hirofumi Ohzeki (M2) received Best Performance Award at ITU AI/ML in 5G Challenge Global Round in Japan.

      ITU AI/ML in 5G Challenge, conducted by ITU, the International Telecommunications Union, is an international competition to solve 5G network problems with machine learning. In the Japan round the Best Performance Awards were presented to the top three teams that qualified as finalists.

      <About awarded research>
      Autonomous detection of faults within the Internet core network, which is interoperable between internet service providers, is required for high-quality 5G networks. It is difficult to find effective features in a wide range of time-series data and to manage routing path logs in machine learning. We therefore developed a failure detection method based on an effective selection of features using entropy and semantic interpretation of routing information using natural language models.
      https://www.ieice.org/~rising/jpn/AI-5G/
    • 2021.01.24:
    • Koji Yatani (EEIS, Graduate School of Engineering (GSII, Emerging design and informatics course), Associate Professor) received Japan ACM SIGCHI Local Chapter Distinguished Young Researcher Award.

      This award was given to a young researcher who has outstanding research achievements and substantial contributions to the HCI community, and is actively leading this field.
    • 2021.01.07:
    • Zhongyi Zhou (Graduate School of Engineering, Department of Electrical Engineering and Information Systems, Yatani Lab. D1) received Student Encouragement Award at IPSJ UBI workshop.
      <About awarded research>
      "A Synchronized Dance Practice Support System Using Human Pose Analysis"
    • 2020.12.17:
    • Prof. Ryosuke Furuta of The University of Tokyo, an alumnus of Yamasaki lab, has won IEEE SPS Japan Young Author Best Paper Award for the following publication.

      Ryosuke Furuta, Naoto Inoue, and Toshihiko Yamasaki, "PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing," IEEE Transactions on Multimedia, vol. 22, no. 7, pp. 1704-1719, 2020.

      https://www.ieee-jp.org/section/tokyo/chapter/SP-01/sp.htm
    • 2020.12.04:
    • ナノ物理デバイスラボ 大矢忍准教授、小林正起准教授、Pham Nam Hai客員大講座准教授、田中雅明教授らは、日本原子力研究開発機構物質科学研究センターの竹田幸治研究主幹、東京大学大学院理学系研究科の藤森淳教授(現:名誉教授)、京都産業大学、東京工業大学との共同研究で、強磁性半導体(Ga,Mn)Asが常磁性状態から強磁性状態に変化していく過程を詳細に観察することにより、原子レベルでの強磁性発現メカニズムを明らかにすることに成功しました。
      この研究成果は、米国応用物理学誌「Journal of Applied Physics」電子版に12月4日(日本時間)に掲載され、掲載号の表紙を飾るとともにFeatured Article(注目論文)として解説記事と併せて公開されました。
      <論文>
      Yukiharu Takeda, Shinobu Ohya, Pham Nam Hai, Masaki Kobayashi, Yuji Saitoh, Hiroshi Yamagami, Masaaki Tanaka, and Atsushi Fujimori
      "Direct observation of the magnetic ordering process in the ferromagnetic semiconductor Ga1-xMnxAs via soft x-ray magnetic circular dichroism"
      J. Appl. Phys. 128, pp.213902/1-11 (2020).
      https://doi.org/10.1063/5.0031605
    • 2020.11.30:
    • ナノ物理デバイスラボ 田中・大矢研究室のJiang Miaoさん(2020年9月電気系博士課程修了、現在特任研究員)、大矢忍 准教授、田中雅明 教授らは、強磁性半導体単層の垂直磁化薄膜を作製し、物質内部の相対論的量子力学の効果である「スピン軌道トルク」を電流で発生させることにより、世界最小の電流密度で磁化を反転させることに成功しました。 この研究成果は、英国科学誌Nature Electronics(2020年11月30日電子版)に出版されました。
      <論文>
      Miao Jiang, Hirokatsu Asahara, Shoichi Sato, Shinobu Ohya and Masaaki Tanaka, "Suppression of the field-like torque and ultra-efficient magnetisation switching in a spin-orbit ferromagnet", Nature Electronics, published on November 30, 2020.
      https://www.nature.com/articles/s41928-020-00500-w
    • 2020.11.16:
    • Associate Professor Masaharu Kobayashi (System Design Research Center (d.lab)/Institute of Industrial Science) received KIOXIA Corporation Research Award on the research of multi-scale modeling of ferroelectric-HfO2 tunnel junction memory for storage and AI hardware applications.
      This award recognizes researchers who are making remarkable achievements in science and engineering based on semiconductor technology.
    • 2020.11.16:
    • Somchart Fakgeaw (Department of Electrical Engineering and Information Systems, PhD graduates at 2017) received PhD. Dissertation Award 2021 from Thai National Research Council.
      This award honors Thai PhD graduates who did high quality research.
      <About awarded research>
      Achieving Expressive, Scalable, and Efficiently Revocable Collaborative Data Access Control in Multi-Authority Cloud
    • 2020.11.16:
    • Yamasaki lab has won IEICE Human Communication Group Paper Award.

      楢原 太郎, 汪 雪テイ, 山崎 俊彦
      「不動産間取り図から主観的に感じる魅力度と間取り要素の関連解析」
      (資料番号:MVE2019-13)
    • 2020.11.05:
    • Koji Yatani (Associate Professor, EEIS) was featured on People of ACM!
      “People of ACM” highlights the unique scientific accomplishments and compelling personal attributes of ACM members who are making a difference in advancing computing as a science and a profession.
      This is an interview after he received IPSJ/ACM Award for Early Career Contributions to Global Research.
      https://www.acm.org/articles/people-of-acm/2020/koji-yatani
    • 2020.11.03:
    • Hiroto Tamura (Department of Electrical Engineering and Information Systems, D2) and Project Associate Professor Gouhei Tanaka received the Best Paper Award (3rd Prize) of the 29th International Conference on Artificial Neural Networks (ICANN).
      This award was given to three papers among 139 papers accepted in ICANN.

      This paper proposes an improved online algorithm for training a reservoir computing model to reduce memory consumption and shows that the proposed algorithm is promising for its hardware implementation.
      Paper: H. Tamura and G. Tanaka, "Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing," In International Conference on Artificial Neural Networks, Springer, pp. 459-469, 2020
    • 2020.10.01:
    • 電気系工学専攻の松橋教授が令和二年度産業標準化事業表彰(経済産業大臣表彰)を受賞しました。
      <受賞された活動>
      エネルギーと環境に関するISO規格の国内委員長としての貢献
    • 2020.09.17:
    • Professor Yoshihiro Kawahara, Research Associate Yoshiaki Narusue, Department of Electrical Engineering and Information Systems, and other researchers received Distinguished Paper Award from the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).
      This award rewards the best papers published in the journal over the course of the year.
      <About awarded research>
      Kazunobu Sumiya, Takuya Sasatani, Yuki Nishizawa, Kenji Tsushio, Yoshiaki Narusue, and Yoshihiro Kawahara, “Alvus: A Reconfigurable 2-D Wireless Charging System,” PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT), Vol. 3, No. 2, Article No. 68, June 2019.
      This paper presents a reconfigurable wireless charging system that enables the construction of wireless charging surfaces by simply laying ready-made modules. Our system can retrofit everyday surfaces (desks, shelves, floor, etc.) into wireless charging surfaces in an instant and interactive manner.
      https://dl.acm.org/doi/10.1145/3332533
    • 2020.06.15:
    • Research Associate Yoshiaki Narusue received ELEX Editorial Contribution Award from IEICE Electronics Express.
      <About awarded activity>
      This award recognizes an associate editor who has made outstanding contributions to the editing and paper review on IEICE Electronics Express (ELEX). It is his great honor to receive this award. He will continue to contribute his efforts to the research field.
    • 2020.05.28:
    • Kaoru Senda (Department of Electrical Engineering and Information Systems, M1) received Best Paper Award of The 82nd National Convention of IPSJ.
      http://www.ipsj.or.jp/award/taikaiyusyu.html
      <About awarded research>
      "Individual segmentation of 3D point cloud using heuristic model for growth measurement of fruit tree"
      3D point cloud sensed by drones is utilized to evaluate growth of plants in an orchard, but individual segmentation is challenging.
    • 2020.05.27:
    • Akihisa Yasuda(D3 in 2019), Research Associate Yoshiaki Narusue, and Professor Hiroyuki Morikawa received the best paper award of the Japan wind energy association.
      http://www.jwea.or.jp/menu2-3.html
      <About awarded research>
      A low-cost and highly-accurate wind turbine anomaly detection method based on the collected data by a Supervisory Control And Data Acquisition (SCADA) system.