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    • 2021.05.14:
    • Mako Miyatake, Project Lecturer Koya Narumi, Professor Yuji Sekiya, and Professor Yoshihiro Kawahara (Department of Electrical Engineering and Information Systems) received Best Demo Honorable Mention Award from The 2021 ACM CHI Virtual Conference on Human Factors in Computing Systems (CHI ’21).

      <Name of award and short explanation about the award>
      CHI’21 People’s Choice Best Demo Honorable Mention Award

      CHI, one of the top conferences on Human-Computer Interaction (HCI), was held online during May 8 - 13, 2021. Best Demo Honorable Mention Award was given to the second best demonstration in the demo session of the conference. The awarded demo was on the paper “Flower Jelly Printer: Slit Injection Printing for Parametrically Designed Flower Jelly.”

      <About awarded research(activity)>
      Mako Miyatake, Koya Narumi, Yuji Sekiya, and Yoshihiro Kawahara. 2021. Demonstrating Flower Jelly Printer for Parametrically Designed Flower Jelly. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21). Association for Computing Machinery, New York, NY, USA, Article 166, 1–4. DOI:https://doi.org/10.1145/3411763.3451541

      <Your impression & future plan>
      We, the co-authors of Flower Jelly Printer, are all very proud of this award. Considering a better way to demonstrate our work for CHI that took place online due to the COVID-19 pandemic led to the award. We believe our research will enhance the freedom of food and help achieve an inclusive society where diverse people can join cultural and economic activities. We will keep on working on proof-of-concept experiments for improvement and commercialization of our technology.
    • 2021.04.06:
    • Chuanbo Zhu, Minematsu laboratory, Department of Electrical Engineering and Information Systems, Graduate School of Engineering, received Outstanding Presentation Award of the Annual Meeting of Phonetic Society of Japan.

      <Name of award and short explanation about the award>
      Outstanding Presentation Award of the Annual Meeting of Phonetic Society of Japan
      <About awarded research(activity)>
      Analyses on Instantaneous Perception of Japanese English by Listeners with Various Language Profiles,
      Chuanbo Zhu, Zhenchao Lin, Nobuaki Minematsu (UTokyo), Noriko Nakanishi (Kobe Gakuin University)

      <Your impression & future plan>
      I am very pleased and grateful to accept this award. In order to make it a more practical technology, I would like to focus on the automatic evaluation on instantaneous intelligibility of Japanese English perceived by various listeners.
    • 2021.03.24:
    • 川原研究室の学部4年生の藤次徹也が、情報処理学会ヒューマンコンピュータインタラクション(HCI)研究会において、第191回研究会学生奨励賞を受賞しました。(HCI191 2021年1月28日~1月29日)

      「布を用いた折り紙に向けた樹脂パターンの配置手法」藤次徹也(東京大学), 野間裕太(東京大学), 鳴海紘也(東京大学), 斉藤一哉(九州大学), 川原圭博(東京大学)
      http://www.sighci.jp/
    • 2021.03.23:
    • Kentaro Matsuura, D1, Department of Electrical Engineering and Information Systems, Graduate School of Engineering, received IEICE Technical Committee on Wireless Power Transfer: Young Researcher Award.

      <Name of award and short explanation about the award>
      IEICE Technical Committee on Wireless Power Transfer: Young Researcher Award

      Young Researcher Award is given to presenters under the age of 33 who present excellent papers in the regular workshops of IEICE Technical Committee on WPT.

      <About awarded research(activity)>
      Kentaro Matsuura, Daisuke Kobuchi, Yoshiaki Narusue, and Hiroyuki Morikawa, "Communication-Less Receiver-Side Resonant Frequency Tuning for Wireless Power Transfer Using Magnetic Resonant Coupling, " IEICE Technical Report, WPT2020-26, Dec. 2020.

      Magnetic resonant coupling wireless power transfer is expected to be applied to recharge electric vehicles and mobile devices since it can provide highly efficient power over a transmission distance of up to approximately 1 meter. However, the presence of metal, water, etc. in the vicinity of the power receiver causes the resonance frequency of the power receiver to change, resulting in a decrease in the efficiency of wireless power transfer. In this study, we have developed a communication-less receiver-side resonant frequency tuning mechanism that cancels out the effects of resonant frequency fluctuations using a variable reactor composed of purely electronic components. We have realized a wireless power transfer system that enables highly efficient and stable power transfer even under less than ideal operating conditions.

      <Your impression & future plan>
      I am very pleased to receive this honorable award. For the widespread use of wireless power transfer systems, I believe that it is necessary to enable stable power transfer in any environment. In the future, I would like to demonstrate the effectiveness of our proposed method in applications that are more in line with actual settings.
    • 2021.03.11:
    • Professor Nobuaki Minematsu, Department of Electrical Engineering and Information Systems, Graduate School of Engineering, received Basic research on speech communication and its application to language education.

      <Name of award and short explanation about the award>
      Basic research on speech communication and its application to language education

      <About awarded research(activity)>
      2020 Fellow of IEICE

      <Your impression & future plan>
      I’m very honored to have been chosen as one of the IEICE 2020 Fellows as my research activities on speech communication and technical support for language education were highly evaluated. As IEICE fellow, I’ll try my best to contribute to research activities of those fields in domestic and international contexts.
    • 2021.03.09:
    • Eisuke Konno, Minematsu laboratory, Department of Electrical Engineering and Information Systems, Graduate School of Engineering, received Student Encouragement Award of IEICE Acoustic and Ultrasound Society.

      <Name of award and short explanation about the award>
      Student Encouragement Award of IEICE Acoustic and Ultrasound Society

      <About awarded research(activity)>
      A quantitative measure of discriminability between NMF dictionaries
      Eisuke Konno, Daisuke Saito, Nobuaki Minematsu (UTokyo)

      <Your impression & future plan>
      I’m honored to receive a student encouragement award for results of my master thesis. I didn’t go to the doctoral coarse and am working now for a company. I'll work hard there making use of experiences in my postgraduate days.
    • 2021.02.17:
    • Associate Professor Tomoyuki Yokota, Department of Electrical Engineering and Information Systems, received The 3rd Japan Open Innovation Prize from Minister of State for Science and Technology Policy Award for “Development of sheet-type image sensor capable of simultaneous measurement of biometric authentication and vital signs”

      https://www8.cao.go.jp/cstp/stmain/20210217joip.html
    • 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
    • 2020.12.14:
    • Associate Professor Masaharu Kobayashi (System Design Research Center (d.lab)/Institute of Industrial Science) received 2019 IEEE EDS Leo Esaki Award.

      <Name of award and short explanation about the award>
      2019 IEEE EDS Leo Esaki Award
      This award is named after Prof. Leo Esaki, who is a Nobel Prize winner in physics, and established in 2019. The award is presented to the authors of the best paper in IEEE Journal of Electron Devices Society. Prof. Kobayashi and his group are honored to receive the 1st award.

      <About awarded research(activity)>
      On the research achievement of ferroelectric-HfO2 tunnel junction memory using next-generation ferroelectric material.

      <Impression & future plan>
      We are very honoed to receive this award. We will continue to pursue innovative integrated devices for AI/IoT application.
    • 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