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    • 2022.06.16:
    • Professor Le Duc Anh (Dept of Electrical Engineering and Information Systems, CSRN) received the Young Investigator MBE Award, at the International Conference on Molecular Beam Epitaxy, ICMBE 2022.

      The citation is "MBE growth, physics and devices of new Fe-based III-V ferromagnetic semiconductors for semiconductor spintronics and topological quantum electronics".
      https://iop.eventsair.com/icmbe2022/awards
    • 2022.06.09:
    • Akira Hirose, Department of Electrical Engineering and Information Systems / Bioengineering, Professor, received Achievement Award, IEICE (Institute for Electronics, Information and Communication Engineers).

      <Name of award and short explanation about the awar>
      Achievement Award, IEICE (Institute for Electronics, Information and Communication Engineers)

      To recognize excellent achievement on basic research including invention, theory, experiments and methods in the field of electronics, information and communication engineering

      <About awarded research>
      "For the pioneering work on complex-valued and quaternion neural networks"

      <Your impression & future plan>
      Encouraged by the award, I continue to work toward further progress valuable for human society.

      <Web link>
      https://www.eis.t.u-tokyo.ac.jp/news/20220609IEICE_AchievementAward/
    • 2022.06.02:
    • Mr. Tomoki Hotta (1st year, Ph.D. student, Department of Electrical Engineering and Information Systems, Tanaka Laboratory) received the Outstanding Student MBE Award for the following oral presentation at the International Conference on Molecular Beam Epitaxy 2021:
      T. Hotta, K. Takase, K. Takiguchi, K. Sriharsha, L. D. Anh, and M. Tanaka
      "Quaternary-alloy ferromagnetic semiconductor (In,Ga,Fe)Sb"
      21st International Conference on Molecular Beam Epitaxy, Virtual Conference, Mexico, September 6-9, 2021.
      Tomoki Hotta, Outstanding Student MBE Award, announced on March 30, 2022
      at the 21st International Conference on Molecular Beam Epitaxy,
      Hosted by Cinvestav (Center for Research and Advanced Studies of the National Polytechnic Institute), Mexico.
    • 2022.06.02:
    • 金田(高田)真吾さん(電気系工学専攻D2、大矢研究室)が応用物理学会より下記の2つの賞を受賞し、2022年3月に開催された春季応用物理学会にて受賞記念講演を行いました。

      金田真梧 2022年3月22日 応用物理学会講演奨励賞
      2021年秋季第82回応用物理学会学術講演会における下記の講演に対して
      Shingo Kaneta-Takada, Yuki. K. Wakabayashi, Yoshiharu Krockenberger, Toshihiro Nomura, Yoshimitsu Kohama, Hiroshi Irie, Kosuke Takiguchi, Shinobu Ohya, Masaaki Tanaka, Yoshitaka Taniyasu, and Hideki Yamamoto "Quantum limit transport and Two-dimensional Weyl fermions in an epitaxial ferromagnetic oxide SrRuO3 thin films"
      第82回応用物理学会秋季学術講演会, 13p-S302-10, オンライン, 2021年9月13日.

      金田真梧 2022年3月22日 応用物理学会スピントロニクス研究会 英語講演奨励賞
      2021年秋季第82回応用物理学会学術講演会における下記の講演に対して
      Shingo Kaneta-Takada, Yuki. K. Wakabayashi, Yoshiharu Krockenberger, Toshihiro Nomura, Yoshimitsu Kohama, Hiroshi Irie, Kosuke Takiguchi, Shinobu Ohya, Masaaki Tanaka, Yoshitaka Taniyasu, and Hideki Yamamoto "Quantum limit transport and Two-dimensional Weyl fermions in an epitaxial ferromagnetic oxide SrRuO3 thin films"
      第82回応用物理学会秋季学術講演会, 13p-S302-10, オンライン, 2021年9月13日.
    • 2022.05.22:
    • 竹内研究室 合田晃(博士2年)、松井千尋(特任助教)、竹内健(教授)の研究成果が、 IEEE Electron Devices Technology and Manufacturing (EDTM) Conference 2022において、Best Paper Awardを受賞しました。
      https://ewh.ieee.org/conf/edtm/2022/award/index.html

      [論文]
      Akira Goda, Chihiro Matsui and Ken Takeuchi, “Inter Spike Interval and Stochasticity Engineering of Floating Gate Technology-based Neurons for Spiking Neural Network Hardware”, IEEE Electron Devices Technology and Manufacturing (EDTM) Conference 2022, March 8, 2022.

      [概要]
      Floating gate型不揮発性メモリセルをspiking neural network(SNN)におけるニューロン回路に適用し、 Leaky-integrate-fire(LIF)動作とstochastic spikingが制御良く実現できることを示した。注入電子のトンネリング時間の確率的ばらつきに起因するISI stochasticityを解析し、 ISI stochasticityの度合いはスパイクに必要な注入電子数でユニバーサルに決定され、デバイスのサイズやスパイクしきい値を調整することで 所望のstochastic特性が発現可能であることを明らかにした。
    • 2022.04.01:
    • 竹内雅樹さん(東京大学 大学院工学系研究科 電気系工学専攻 関野研究室 博士後期課程1年)らの研究がCNNで取り上げられました。

      <研究メンバー>
      竹内雅樹(東京大学 大学院工学系研究科電気系工学専攻博士 後期課程1年)
      Ahn Jaesol(東京大学 工学部電子情報工学科 学部4年)
      Lee Kunhak( 東京大学 機械工学科 学部4年)
      副島裕太郎(東京大学 工学部電気電子工学科 学部4年)
      関野正樹(東京大学 大学院工学系研究科バイオエンジニアリング専攻教授)
      (学年・所属は掲載時)

      <放映された番組の名称と簡単な説明>
      放送局:CNN
      番組名:Dr.グプタのバイタルサイン
      説明:健康、医療に関する最新情報をアメリカの現役医師が解説する番組です。

      <放映された研究・活動について>
      喉頭がんなどの病気で失われた声を取り戻すハンズフリー型電気式人工喉頭の開発
      (研究プロジェクト名:Syrinx)

      <今後の抱負・感想>
      今回取り上げていただけたのは、指導教員のご指導、ならびに研究を一緒に行っているメンバーの協力によって研究が行えたことと、家族からの温かい支援があったからこそだと存じております。これを励みに、今後もさらに研究に邁進してまいります。

      <参考ウェブサイト>
      https://edition.cnn.com/2022/03/22/health/syrinx-artificial-electrolarynx-japan-spc-scn-intl/index.html

      また、本放送は4月2日、3日にCATVなどにより日本でも視聴することが可能となります。
      https://www2.jctv.co.jp/cnnj/introduction/?id=791
    • 2022.03.10:
    • Takuya Kunihara, Department of Electrical Engineering and Information Systems, Graduate School of Engineering, received Student Presentation Award of the ASJ meeting.

      <Name of award and short explanation about the award>
      Student Presentation Award of the ASJ meeting

      <About awarded research (activity)>
      Analysis of learners’ shadowing based on their convergence to and divergence from model speech and their perception of model speech
      Takuya Kunihara, Chuanbo Zhu, Daisuke Saito, Nobuaki Minematsu, Noriko Nakanishi

      <Your comment & future plan>
      This study showed good possibility of quantifying various aspects of L2 speech communication such as pronunciation, listening, and internalization at the same time by analyzing shadowing utterances. The presentation was made a half year ago and I’m very happy that it was highly evaluated. I heard that the proposed method will be introduced to English education (Academic Communication) in School of Engineering since October 2022. Although I’ll get graduated soon, I hope that younger students of our lab. will make a good system to support UTokyo students.
    • 2022.02.10:
    • Liao et al. have reported "Quantum analog annealing of gain-dissipative Ising machine driven by colored gaussian noise" in Advanced Theory and Simulations. This paper has been selected for the front cover.

      <Authors>
      Zhiqiang Liao, Kaijie Ma, Md Shamim Sarker, Siyi Tang, Hiroyasu Yamahara, Munetoshi Seki, Hitoshi Tabata

      <Abstract>
      Gain-dissipative Ising machines (GIMs) are a type of quantum analog equipment that can rapidly determine the optimal solution for combinatorial optimization problems. When the noise intensity is significantly lower than the fixed point of the system, the performance of a GIM is not influenced by the fluctuation of the noise intensity. However, the noise in this study is limited to Gaussian white noise. The influence of prevalent colored noise on GIMs has not been researched. In this study, the influence of common-colored noise on the performance of GIMs is numerically investigated. The results of a domain clustering dynamics analysis reveal that red noise can better suppress the generation of the noise-induced irregular temporary domain. Furthermore, several prevalent MAXCUT problem topologies, including the Moebius ladder, random Moebius ladder, and 2D random lattice, are adopted as test benchmarks. The results reveal that GIMs influenced by white, blue, and violet noise perform better at low-intensity noise condition. In contrast, pink and red noise-injected GIMs demonstrate higher performances when applied to MAXCUT topologies with both ferromagnetic and antiferromagnetic connections under larger noise intensity conditions. This indicates that the noise dispersion can be used as an additional hyperparameter to optimize the performance of GIMs.

      Press Release : https://www.t.u-tokyo.ac.jp/shared/press/data/setnws_202202101302497695676746_939969.pdf

      Advanced Theory and Simulations : https://onlinelibrary.wiley.com/doi/10.1002/adts.202100497
    • 2022.01.27:
    • Koji Yatani, Associate Professor, Department of Electrical Engineering and Information Systems (EEIS), School of Engineering/Emerging Design and Informatics Course, Interfaculty Initiative in Information Studies, received IPSJ Microsoft Faculty Award.

      <The name of the award and its short description>
      IPSJ Microsoft Faculty Award:
      This award is given to a young researcher who has made an outstanding international contribution to research and development in a major field of informatics, and is expected further achievements and contributions.

      <About awarded research (activity)>
      Blending security interfaces into users' main interaction tasks

      <Your comment & future plan>
      I am very honored to receive this award, and I strongly believe that this achievement would not be possible without the high-quality work achieved through collaboration with my lab members and the warm support of my family. I keep letting my passion drive my research.

      https://www.ipsj.or.jp/award/microsoft-award.html
    • 2022.01.22:
    • Zhongyi Zhou, D2, Electrical Engineering and Information Systems, Graduate School of Engineering and Anran Xu, M2, Electrical Engineering and Information Systems, Graduate School of Engineering received Best Presentation Award at Ubicomp/ISWC '21.

      <The name of the award and its short description>
      Best Presentation Award at Ubicomp/ISWC '21

      This award recognizes authors who made an outstanding presentation on their papers. Program committee members re-reviewed the presentation of 10 nominated works from the audience and selected the best presentation per time block.

      <About awarded research (activity)>
      In this work, we created a system to support practices of synchronized dancing using interactive visualizations and computer vision analysis. The system can provide quick feedback to amateur dancers during their iterative dance practices.

      <Your comment & future plan>
      Zhongyi Zhou;
      It is a great honor to receive this award. I will continue my research in HCI and bring more exciting projects to the community.

      Anran Xu;
      I really appreciate that researchers and dancers return positive feedback on SyncUP. I am delighted to see people's consent on SyncUP's usefulness. We plan to further study how to combine interaction designs to fertilize the usage of AI.
    • 2022.01.10:
    • 竹内研究室 樋口和英さん、松井千尋さん、三澤奈央子さん、竹内健教授の研究成果が、第33回コンピュータシステム・シンポジウム(ComSys2021)において、最優秀ポスター発表賞を受賞しました。
      http://www.ipsj.or.jp/sig/os/index.php?ComSys2021+%A5%DD%A5%B9%A5%BF%A1%BC%A5%BB%A5%C3%A5%B7%A5%E7%A5%F3

      機械学習のエネルギー効率を100倍以上高める、CiM(Computation-in-Memory)の性能や精度を評価するプラットフォームを開発しました。 機械学習応用、例えば画像認識では、ある程度のエラーが許容されます。人も完璧ではないですから。本研究では人の様にエラーを許容するApproximateコンピューティングを評価するプラットフォームを開発しました。 このプラットフォームを用いて、今後は、既存のGPUなどと比べて100倍以上エネルギー効率が高い、エッジデバイス向けのAIチップの研究を行います。
    • 2021.12.22:
    • レデゥックアイン助教(総合、電気系)、高瀬健吾氏(研究当時電気系工学専攻 修士2年)、瀧口耕介氏(博士3年)、田中雅明教授(電気系工学専攻、スピンセンター)らの トポロジカル・ディラック半金属α-Snに関する論文がAdvanced Materials誌に出版され、Frontispieceに選ばれて、表紙を飾りました。
      https://onlinelibrary.wiley.com/doi/10.1002/adma.202170404

      Le Duc Anh, Kengo Takase, Takahiro Chiba, Yohei Kota, Kosuke Takiguchi, and Masaaki Tanaka
      "Elemental Topological Dirac Semimetal α-Sn with High Quantum Mobility"
      Advanced Materials 33, pp.2104645/1-9 (2021).
      https://doi.org/10.1002/adma.202104645

      Le Duc Anh, Masaaki Tanaka, and co-workers report the epitaxial growth of elemental topological Dirac semimetal α-Sn with the highest quality thus far. The very high quantum mobilities in these samples allow a quantitative characterization of the nontrivial interfacial and bulk band structure of α-Sn via quantum transport in combination with first-principles calculations. The results establish α-Sn as an excellent model system to study novel topological phases and device applications.
    • 2021.12.16:
    • Takuya Sasatani, Project assistant professor, Department of Electrical Engineering and Information Systems, Graduate School of Engineering, received MIT Technology Review Innovators Under 35 Japan.

      <Name of award and short explanation about the award>
      Name:
      MIT Technology Review Innovators Under 35 Japan

      Explanation:
      Innovators Under 35 was established in 1999. In addition to the global competition, regional editions are held in Asia Pacific, China, Europe, India, Latin America, MENA, and now Japan. MIT Technology Review launched Innovators Under 35 Japan in 2020 as the seventh regional edition in the world. The mission of this competition is to discover and share with the world the talented individuals who are actively using technology to solve the societal problems facing Japan, such as the declining birthrate and aging population, labor shortage, and the aging social infrastructure. As the competition entered the second year in 2021, it is searching for young innovators in computers, electronics, software, the Internet, artificial intelligence, robotics, transportation, and the newly-added communications and sustainable energy technical fields.

      <About awarded research(activity)>
      Wireless power transfer has the promise to eliminate power cords and radically change how we interact with technologies. However, existing approaches fail to embody this vision because achieving “high-power” and “wide-range” all at once in wireless power is challenging. This study explored techniques for drastically extending the powering range of magnetoquasistatic wireless power technologies. The presented approaches enable high-power, high-efficiency, and safe wireless power transfer over large areas, which can open new avenues of device modalities that were unavailable due to limitations in power supply technologies.

      <Your impression & future plan>
      I am very honored to be selected as Innovators under 35 Japan. I want to thank my fantastic collaborators for working on challenging research projects together and everyone that supported my research projects. I will keep advancing wireless power technologies towards deployment in the real world.
    • 2021.12.16:
    • Lecturer Atsutake Kosuge, Systems Design Lab., Graduate School of Engineering, has been selected as one of the innovators under the age of 35 who will create the future in the "Innovators Under 35 Japan 2021" awards organized by MIT Technology Review (Japan edition).

      <Name of award and short explanation about the award>
      MIT Technology Review Japan Innovators Under 35

      Lecturer Atsutake Kosuge has been selected as one of the innovators under the age of 35 who will create the future in the "Innovators Under 35 Japan 2021" awards organized by MIT Technology Review (Japan edition).
      The "Innovators Under 35 Japan 2021" is an international award sponsored by the MIT Technology Review, the media division of the Massachusetts Institute of Technology (MIT) in the United States. In the past, Google co-founder Sergey Brin and Facebook co-founder, chairman and CEO Mark Zuckerberg have also won the award. The Innovators Under 35 Japan is the Japanese version of the awards, and this is the second year that the awards have been held. Over 350 domestic and international candidates were applied for the award, and 15 were finally selected as the winners.

      <About awarded research(activity)>
      Research topic: Ultra-low power AI chip for factory and construction automations
      Tasks such as image recognition using machine learning require a large amount of computing power. With the impasse of "Moore's Law", cutting-edge semiconductor chips have become power consuming and costly. This has been a barrier to the widespread adoption of automation technologies that require large numbers of semiconductor chips. Lecturer Kosuge has developed a wired logic AI chip, that can execute AI algorithms two orders of magnitude faster and lower power than conventional CPUs and GPUs.

      Details: https://www.technologyreview.jp/l/innovators_jp/261818/Atsutake-Kosuge/
    • 2021.12.14:
    • ”Frontiers in Optics + Laser Science(FiO LS )” において、岩本敏教授が米国光学会(The Optical Society:OPTICA)より2021年度のフェロー称号を授与されました。 フォトニック結晶およびトポロジカルフォトニクスに関する独創的かつ先駆的な貢献を評価されたものです。

      <受賞のコメント>
      この度、米国光学会Fellow 称号を頂き大変光栄に存じます。今回対象となった研究成果は、研究室の学生の皆さん、学内外の多くの共同研究者の皆様と長年にわたり培ってきたものであり、ここに厚くお礼申し上げます。 また、長年にわたりご指導いただく荒川泰彦先生(現在、東京大学ナノ量子情報エレクトロニクス研究機構・特任教授)をはじめ、日頃より議論いただく関係分野の諸先生方に深くお礼申し上げます。 これを励みに今後も一層研究活動に精進するとともに、コミュニティへの貢献にも努める所存です。

      <先端科学技術研究センターHP リンク>
      https://www.rcast.u-tokyo.ac.jp/ja/news/report/20211130.html
    • 2021.12.13:
    • Kentaro Matsuura (D2), Morikawa Narusue Laboratory, Department of Electrical Engineering and Information Systems, Graduate School of Engineering, received Student Best Paper Award (1st Best Paper Award + WiPoT Award) at 2021 Asian Wireless Power Transfer Workshop (AWPT2021).

      <Name of award and short explanation about the award >
      Student Best Paper Award (1st Best Paper Award + WiPoT Award)
      This award is presented to the author of the most outstanding research result among the papers at AWPT2021 whose first author is a student.

      <About awarded research(activity) >
      Paper title: Experimental Validation of Communication-Less Receiver-Side Resonant Frequency Tuning for Magnetic Resonant Wireless Power Transfer Systems

      Magnetic resonant 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 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 power transfer efficiency. In this study, we proposed a mechanism that automatically corrects the resonant frequency at the receiver side without using wireless communication with the transmitter and experimentally demonstrated that power transmission with high transmission efficiency is possible even under the influence of the surrounding environment.

      <Your impression & future plan >
      I am very honored to receive this award. I believe that it is essential to build a system that is easy for users to use in order to spread the use of wireless power transfer systems. In the future, I would like to implement the proposed method in various wireless power transfer devices, conduct evaluations, and demonstrate its effectiveness.
    • 2021.11.22:
    • JOSHI Gunjan, Phd 1st year (as of 2021 December), Dept. of Electrical Engineering, received "JSPRS Award".

      <Name of award and short explanation about the award>
      "JSPRS Award"
      Asian Conference on Remote Sensing (ACRS) 2021 awards Japan Society of Photogrammetry and Remote Sensing (JSPRS) prize to young authors less than 35 who have presented excellent full papers.

      <About awarded research(activity)>
      We presented our work on the fusion of satellite data which was used to generate landcover maps of earthquake damage-affected regions in Indonesia.

      We also showcased the explainability of the neural network by introducing the "Inverse Mapping" dynamics, through which we were able to explain the significance of the different features we used in our study.

      <Your impression & future plan>
      It is a great honour to be recognised and this award has motivated me further to work in this research topic. My next step is to focus on the fusion of satellite data for remote monitoring of the cryosphere.

      <Web link>
      https://www.eis.t.u-tokyo.ac.jp/news/20211122ACRS_Gunjan/
    • 2021.11.17:
    • Kentaro Matsuura (D2), Department of Electrical Engineering and Information Systems, Graduate School of Engineering, received Best Interactive Presentation Award from IEICE Cross-Field Research Association of Super-Intelligent Networking.

      <Name of award and short explanation about the award>
      IEICE Cross-Field Research Association of Super-Intelligent Networking (RISING2021): Best Interactive Presentation Award

      <About awarded research(activity)>
      Kentaro Matsuura, Koeru Shin, Daisuke Kobuchi, Yoshiaki Narusue, and Hiroyuki Morikawa, "Study on Synchronization Strategy for Maximizing Received Power in Distributed Microwave Wireless Power Transfer Systems, " Cross-Field Research Association of Super-Intelligent Networking (RISING2021), no.67, Nov. 2021.

      Distributed cooperative microwave power transfer (DMPT) has attracted much attention due to its scalability of the power transfer area and its safety provided by pinpoint power transfer. According to our analysis, the synchronization period between power transmitters is an important parameter affecting the performance of DMPT. This study analyzed the trade-off between the fast response of the synchronization circuit and its accuracy and proposed a quick and easy-to-use design method of the synchronization period maximizing the received power.

      <Your impression & future plan>
      I am very honored to receive this award. At present, we are in the early stages of investigating DMPT systems. We will continue to work on the research and development of technologies that will contribute to the early practical application of DMPT systems.
    • 2021.11.17:
    • Daisuke Kobuchi (D1), Department of Electrical Engineering and Information Systems, Graduate School of Engineering, received Best Interactive Presentation Award from IEICE Cross-Field Research Association of Super-Intelligent Networking.

      <Name of award and short explanation about the award>
      IEICE Cross-Field Research Association of Super-Intelligent Networking (RISING2021): Best Interactive Presentation Award

      <About awarded research(activity)>
      Daisuke Kobuchi, Kentaro Matsuura, Yoshiaki Narusue, and Hiroyuki Morikawa, "Automated Coil Design for Transmitter and Receiver for Low-leakage and High-efficiency Inductive Power Transfer based on the Optimum Mesh Current Distribution," Cross-Field Research Association of Super-Intelligent Networking (RISING2021), no.70, Nov. 2021.

      Achieving high-efficiency inductive power transfer with suppressing magnetic field leakage is an important issue for practical use. This study proposes an automatic design method for transmitter and receiver coils which can achieve high transfer efficiency and cancel out the magnetic field leakage at the same time.

      <Your impression & future plan>
      I am very happy to receive this honorable award. I would like to continue my research so that this automatic design method can be used as one of the solutions to the leakage magnetic field, which may become a major problem when wireless power transmission becomes widespread in the future.