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    • 2022.11.17:
    • Associate Professor Le Duc Anh, Department of Electrical Engineering & Information Systems (EEIS) and Center for Spintronics Research Network (CSRN), has been selected as a "Distinguished Researcher" of the University of Tokyo for the 2022 academic year.
      https://www.u-tokyo.ac.jp/focus/ja/articles/t_z1402_00012.html
      This is based on the University of Tokyo's "Support Program for Young Researchers' Independence (The University of Tokyo Distinguished Researchers)", which aims to support outstanding young researchers to start up their research activities.
    • 2022.11.09:
    • Discovery of Giant Odd-Parity Magnetoresistance in Nonmagnetic/Ferromagnetic Semiconductor Heterostructures -Unique Electronic Transport Phenomenon due to "Symmetry Breaking" in Materials, a Possibility for Next-Generation Quantum Devices The research has been carried out by graduate student Kosuke Takiguchi, Associate Professor Le Duc Anh, graduate student Harunori Shiratani, and Professor Masaaki Tanaka of Department of Electrical Engineering and Information Systems, graduate student Ryota Fukuzawa and Professor Takuji Takahashi of Institute of Industrial Science, and Lecturer Takahiro Chiba of Fukushima National College of Technology. They fabricated bilayer heterostructure consisting of a nonmagnetic semiconductor (InAs) and a ferromagnetic semiconductor (GaFeSb). The research group has discovered a new electronic transport phenomenon that exhibits giant odd-parity magnetoresistance. The results were published online in Nature Communications on Nov.9, 2022.
      In ordinary materials, the change in electrical resistance (magnetoresistance effect) when a magnetic field is applied is exactly the same when the direction of the magnetic field is reversed. However, in the InAs/(Ga,Fe)Sb semiconductor heterostructures fabricated by the research group, giant odd-parity magnetoresistance (OMR) was discovered, in which the electrical resistance changes by 27% when the external magnetic field direction is reversed. This new OMR occurs in a one-dimensional conduction channel formed on the side edges of a nonmagnetic semiconductor layer, and it is caused by (1) "spatial inversion symmetry breaking" due to the surface potential of the side edge and (2) "time reversal symmetry breaking" due to magnetic proximity effect from the adjacent ferromagnetic semiconductor (Ga,Fe)Sb. This phenomenon is significant because the giant electromagnetic response due to symmetry breaking appeared in semiconductor heterostructures, which are compatible with electronics, and is expected to be used in next-generation spintronics such as highly sensitive magnetic-field sensors. The research results were published online in Nature Communications on November 9, 2022.

      Kosuke Takiguchi, Le Duc Anh, Takahiro Chiba, Harunori Shiratani, Ryota Fukuzawa, Takuji Takahashi, and Masaaki Tanaka "Giant gate-controlled odd-parity magnetoresistance in one-dimensional channels with a magnetic proximity effect",
      Nature Communications 13, pp.6538/1-7 (2022).
      Doi: 10.1038/s41467-022-34177-w
      https://doi.org/10.1038/s41467-022-34177-w
    • 2022.10.25:
    • At the 2022 Autumn Matriculation Ceremony of the University of Tokyo held at the Yasuda Auditorium on October 1st, Mr. Yu Baisen, first-year doctoral student in the Department of Electrical Engineering and Information Systems (Tanaka-Nakane Laboratory), gave the pledge as representative of the incoming students.
      Published in the University of Tokyo Public Relations No.1563 (October 25, 2022). Photo on p.8, photo and the pledge on p.15.

      https://www.u-tokyo.ac.jp/ja/about/public-relations/kouhou.html
      https://www.u-tokyo.ac.jp/content/400200348.pdf
    • 2022.10.21:
    • 岩本 敏教授が「第21回ドコモ・モバイル・サイエンス賞 基礎科学部門優秀賞」を受賞されました。

      <受賞した研究について>
      トポロジカルナノフォトニクスの先導的研究

      <受賞理由>
      岩本氏は、物性科学で発展してきたトポロジーの概念を光の制御に適用し、半導体フォトニクス結晶を用いて光のトポロジカルな状態を実現することで、従来技術の延長では難しい、 急峻な曲げに対応可能であり、曲げても低損失で劣化が非常に少ない導波路を実現した。光集積回路部品の大幅な小型化に貢献しうるものとして注目されている。 また、トポロジー概念を用いての世界初のトポロジカルナノ共振器も実現した。
      アプローチに新規性があり、岩本氏独自の学術領域創成への期待も持てる。光通信システムへの応用、省エネ化、新たな多重通信技術の研究等にも繋がるものとして、 学術面でも社会的にもこれまでの貢献・将来性共に優れている。 https://www.mcfund.or.jp/mobilescience/award/no21.html
    • 2022.10.07:
    • 電気系工学専攻博士課程2年の金田(髙田)真悟さん、Le Duc Anh准教授、小林正起准教授、関宗俊准教授、田畑仁教授、田中雅明教授、大矢忍准教授のグループと、 高エネルギー加速器研究機構(KEK)の北村未歩助教、堀場弘司准教授(現量子科学技術研究開発機構)、東北大学の組頭広志教授らが、 ペロブスカイト酸化物ヘテロ構造を用いて世界最高効率のスピン流電流変換を実現しました。本成果は、英国科学誌「Nature Communications」に掲載されました。 プレスリリースが行われ、いくつかのマスコミで報道されました。

      <論文>
      S. Kaneta-Takada, M. Kitamura, S. Arai, T. Arai, R. Okano, L. D. Anh, T. Endo, K. Horiba, H. Kumigashira, M. Kobayashi, M. Seki, H. Tabata, M. Tanaka, and S. Ohya, "Giant spin-to-charge conversion at an all-epitaxial single-crystal-oxide Rashba interface with a strongly-correlated metal interlayer", Nature Communications 13, 5631 (2022).
      doi.org/10.1038/s41467-022-33350-5

      https://www.nature.com/articles/s41467-022-33350-5

      <プレスリリース>
      ・2022年10月4日,世界最高効率のスピン流電流変換を酸化物で実現―酸化物を用いた低消費電力スピンデバイスの実現に向けた新たな進展―,東京大学 工学部/工学系研究科 プレスリリース, https://www.t.u-tokyo.ac.jp/press/pr2022-10-04-001

      ・2022年10月4日,世界最高効率のスピン流電流変換を酸化物で実現―酸化物を用いた低消費電力スピンデバイスの実現に向けた新たな進展―, 高エネルギー加速器研究機構(KEK) プレスリリース,https://www.kek.jp/ja/press/202210041400/

      <マスコミ、メディア報道>
      ・2022年10月4日,世界最高効率のスピン流電流変換を酸化物で実現 ―酸化物を用いた低消費電力スピンデバイスの実現に向けた新たな進展―, 日本の研究.comhttps://research-er.jp/articles/view/115009

      ・2022年10月5日,東大ら,酸化物で最高効率のスピン流電流変換実現,OPTRONICS ONLINE, https://optronics-media.com/news/20221005/78833/

      ・2022年10月5日,東大など、単結晶酸化物にて世界最大級のスピン流電流変換効率を実現,Mapion ニュース, https://www.mapion.co.jp/news/column/cobs2490254-1-all/
    • 2022.09.27:
    • Dr. Shobhit Goel (Postdoctoral Researcher, Masaaki Tanaka Laboratory) received the SSDM2021 Young Researcher Award at the International Conference on Solid State Devices and Materials (SSDM),
      for the following paper:
      Shobhit Goel , Nguyen Huynh Duy Khang, Le Duc Anh, Pham Nam Hai, and Masaaki Tanaka
      "Room-temperature spin injection and spin-to-charge conversion in a ferromagnetic semiconductor / topological insulator heterostructure"
      Presented at the International Conference on Solid State Devices and Materials (SSDM 2021), All-Virtual, September 6-9, 2021.
    • 2022.09.21:
    • Mr. Harunori Shiratani (M1 student, Masaaki Tanaka Laboratory, Dept. of Electrical Engineering & Information Systems) received the Best English Presentation Award from the Spintronics Research Committee of the Japan Society of Applied Physics,
      for the following presentatoin:
      Harunori Shiratani, Kosuke Takiguchi, Le Duc Anh, and Masaaki Tanaka
      "Spin-split Fermi surface of InAs/(Ga,Fe)Sb nonmagnetic/ferromagnetic bilayer semiconductor heterostructures"
      2022 Spring Meeting of the Japan Society of Applied Physics, 23p-E205-1, Sagamihara Campus, Aoyama-Gakuin University, Online, March 22-25, 2022.
    • 2022.09.15:
    • Ryo Takahashi, Graduate School of Engineering, Department of Electrical Engineering, Doctor 3rd, received Gaetano Borriello Outstanding Student Award runner up.

      <Name of award and short explanation about the award>
      Gaetano Borriello Outstanding Student Award runner up

      At the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp), Ryo Takahashi won the runner up of the Gaetano Borriello Outstanding Student Award, which is given to a student who has made an outstanding contribution to the field of ubiquitous computing.

      <About awarded research(activity)>
      A set of research results about wireless power transfer and wireless readout toward continuous wearable computing was evaluated and awarded.

      <Your impression & future plan>
      I am very honored to receive this award. I would like to thank all of my collaborators who have worked with me on this challenging research and who have supported me in my research life.
      https://ubicomp.org/sc/awards.html
    • 2022.09.15:
    • 工学系研究科電気系工学専攻博士課程2年 Zhongyi Zhou(周 中一)さん、電気系工学専攻修士課程2年Anran Xu(徐 安然)さんらの研究が Proceedings of the ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT)においてDistinguished Paper Awardを受賞しました。

      <Name of award and short explanation about the award>
      IMWUT Distinguished Paper Award

      IMWUT assigns every year a Distinguished Paper Award (DPA) to 3-4% of all papers published by the journal in the previous year (volume). IMWUT DPAs are assigned to outstanding contributions that distinguish themselves for their novelty, completeness and maturity, pedagogical, theoretical, or practical value, or have other characteristics considered exemplary for the IMWUT community.

      <About awarded research(activity)>
      We create a system called SyncUp that provides multiple interactive visualizations to support the practice of synchronized dancing.
      https://dl.acm.org/doi/10.1145/3478120

      <Your impression & future plan>
      Zhongyi Zhou :
      I am very excited to receive this award that recognizes our research. I want to thank everyone who has supported us in this project. I will continue my research in HCI and bring more research that excites our community.

      Anran Xu :
      I am very expressed to know the first research program I participated in since I joined Yatani Lab received this awards. I want to show my gratitude to everyone who helped us in this research. I will keep investigating how HCI can improve the quality of life.
    • 2022.09.07:
    • Suzuki Yamato, School of Engineering, the University of Tokyo / Doctor 3rd, received 12th Robotics Symposia Young Investigator Excellence Award.

      <Name of award and short explanation about the award>
      12th Robotics Symposia Young Investigator Excellence Award

      <About awarded research(activity)>
      “Path Planning based on Motion and Terrain Classification Uncertainty for Exploration Robots”

      This research aims at the safe autonomy of planetary exploration robots. Safe autonomy is required for planetary exploration robots because it takes a long communication delay time. However, due to various constraints, highly accurate localization and terrain classification are difficult. Therefore, this paper proposed a new chance-constrained path planning method that considers the probability of incorrect localization and classification.

      <Your impression & future plan>
      I am very honored to receive this award. I would like to take this opportunity to express my sincere gratitude to everyone who has supported this research. Encouraged by this award, I would like to continue to work on research to realize safe and efficient planetary exploration.
    • 2022.09.01:
    • 工学系研究科電気系工学専攻博士課程2年 Zhongyi Zhou(周 中一)さんが、2022年度Google Ph.D. Fellowship を受賞されました。

      <受賞した賞>
      Google Ph.D. Fellowship

      The Google Ph.D. Fellowship Program was created to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields. Fellowships support promising Ph.D. candidates of all backgrounds who seek to influence the future of technology.

      <受賞した研究について>
      I primarily study Interactive Machine Teaching, creating technologies to power human intelligence during the creation of their customized ML models.

      <今後の抱負・感想>
      I am happy to receive this award to support my research. I will continue studying Interactive Machine Teaching and aim to bring more exciting research to the community in the future.
    • 2022.08.27:
    • Bungo Konishi, Ph.D. Student (D2), Department of Electrical Engineering and Information Systems, Graduate School of Engineering, received ICETCI 2022 Best Presenter Award.

      <Name of award and short explanation about the award>
      "ICETCI 2022 Best Presenter Award"

      This award was given to the greatest paper presentation in the International Conference on Emerging Techniques in Computational Intelligence (ICETCI 2022) which was held in Hyderabad, India.

      <About awarded research(activity)>
      "Isotropization of complex-valued reservoir computing on 2-D dynamical systems"
      Reservoir computing (RC), which achieves highspeed learning through a reservoir layer with recurrent nonlinear mapping to a high dimensional space, has been used for prediction and estimation of sequential data. To deal with complex amplitude data such as synthetic aperture radar (SAR) data, RC has been extended to the complex domain, complex-valued reservoir computing (CVRC). In this paper, we analyze 2-D dynamical systems and examined the isotropic dynamics of CVRC. We show that CVRC preserves the periodicity of the input signal and has a high robustness to initial values compared to non-isotropic real-valued RC (RVRC).

      <Your impression & future plan>
      I am very honored to receive this award. I am most grateful to Professor Akira Hirose and Associate Professor Ryo Natsuaki for giving me some advice. I will continue to contribute to the field of reservoir computing and remote sensing application.

      <Web link>
      https://www.eis.t.u-tokyo.ac.jp/news/20220827ICETCI_Konishi/
    • 2022.07.29:
    • Ryo Takahashi, Graduate School of Engineering, Department of Electrical Engineering, Doctor 3rd, received IPSJ Yamashita SIG Research Award.

      <Name of award>
      IPSJ Yamashita SIG Research Award

      <About awarded research (activity)>
      Wearable sensors, which can be worn and carried around, are expected in the fields of healthcare and activity recognition. However, the sensors are bulky because they need to be equipped with a wireless communication module and battery for data collection, and they also require users to periodically charge the battery. This paper proposes a body-scale, highly-sensitive, textile-based reader coil that can wirelessly read out sensor values from battery-free sensors placed on different locations of the body. With this, we achieved an ideal wearable sensing platform where sensor is lightweight and thin, yet has no need of battery management.

      <Your impression & future plan>
      I am very honored to receive this award. I would like to thank all of my collaborators who have worked with me on this challenging research and who have supported me in my research life. I hope this paper will contribute to the future development of wearable sensing.
      https://www.ipsj.or.jp/award/yamashita2022.html
    • 2022.07.25:
    • 矢谷研究室 工学系研究科電気系工学専攻修士2年 Shixian Geng (耿 世嫻)さんが、DICOMO2022優秀プレゼンテーション賞を受賞されました。

      <受賞した賞の名称と簡単な説明>
      DICOMO2022 (マルチメディア、分散、協調とモバイルシンポジウム) 優秀プレゼンテーション賞

      優れたプレゼンテーションを行った方を表彰する賞。
      https://dicomo.org/commendation

      <受賞された研究・活動について>
      患者が在宅で簡単に嚥下障害の有無を評価できるようにするため、スマートフォンで撮影した動画から口腔・嚥下機能を評価する手法を提案しました。
      https://iis-lab.org/research/oralfrality-inference/

      <今後の抱負・感想>
      I’m really happy to receive this award, and it was also a very meaningful experience for me to attend DICOMO2022. I will continue to conduct research on mobile health systems with such encouragement.
    • 2022.07.19:
    • JOSHI, Gunjan, Phd 1st year (as of 2022 July ), Electrical Engineering, received "IEEE - Geoscience and Remote Sensing Society Excellence in Technical Communication Student Prize Award" - First Prize".

      <Name of award and short explanation about the award>
      "IEEE - Geoscience and Remote Sensing Society Excellence in Technical Communication Student Prize Award" - First Prize"

      IEEE - Geoscience and Remote Sensing Society Excellence in Technical Communication Student Prize Award was presented in recognition of an outstanding 3 Minute Thesis oral presentation at the International Geoscience and Remote Sensing Symposium IGARSS 2022.

      <About awarded research>
      We presented our work on the use of Multi-Sensor Data using Explainable Neural Networks at the 3 Minute Thesis Competition at IGARSS-22. Our work explained how multiple satellite data can be fused together to more information about the Earth's surface. Additionally, we explained that Neural Networks which are traditionally considered to be "black boxes" can be explained by a simple yet effective method which we call the "Inverse-mapping".

      <Your impression & future plan>
      To be awarded and recognised at the IGARSS-22 has made me more confident. I am grateful to my supervisors Hirose-Sensei and Natsuaki-Sensei for their support. My next aim is to continue my research in this field and understand the effects of multi-sensor data fusion for cryosphere application.

      <Web link>
      https://www.eis.t.u-tokyo.ac.jp/news/20220721IGARSS3MT_Gunjan/
    • 2022.07.18:
    • Professor Akira Hirose, Department of Electrical Engineering and Information Systems / Bioengineering, received IEEE GRSS Education Award.

      <Name of award and short explanation about the award>
      IEEE GRSS Education Award

      To Recognize Outstanding Educational Contributions to Geoscience and Remote Sensing, one of the three major awards in the society

      <About awarded contribution>
      This award is to recognize his outstanding educational contributions in raising many excellent researchers as well as encouragement for students and young researchers through tutorial lectures and other activities in the field.

      <Your impression & future plan>
      Encouraged by the award, I continue to work further for education and research in the field.

      <Web link>
      https://www.eis.t.u-tokyo.ac.jp/news/20220718IEEE_GRSS_EduAward/
    • 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
    • 2022.06.15:
    • Associate Professor Hiroaki Matsui, Department of Bioengineering, Department of Electric Engineering and Information Systems, received UBE Industries Foundation. <Name of award and short explanation about the award>
      UBE Industries Foundation

      The foundation gives an “academic incentive award” to those who have excellent and original research in natural science fields such as organic chemistry, inorganic chemistry, polymer chemistry, machine / measurement control / system, electricity / electronics, and medicine.

      <About awarded research>
      This study focuses on the control of electron carriers on surface plasmon resonances based on oxide semiconductor nanoparticles (NPs) in the near-infrared (IR) region. We developed active devices of transparent thermal-shielding techniques with plasmonic characteristics that can control optical properties selectively in visible and near-IR ranges. Particularly, we used oxide semiconductors to demonstrate electric control of surface plasmons based on dynamic carrier accumulations on the NP surfaces for electron doping into the NPs. The electron carriers injected into the NPs influence the carrier accumulations and electronic states in the NPs. These new techniques contributed to thermal management in terms of thermal shielding and their properties in the near-IR range.

      <Your impression & future plan>
      Surface plasmon studies on oxide semiconductors yielded important results, leading to social outcomes in the field of surface plasmons focusing on metal materials. Rather than riding a big tide, we would want to create mine, even if it is small. We strive for research that has a societal impact without being constrained by narrow academic fields or conventional wisdom.

      <Web link>
      Matsui Laboratory https://park.itc.u-tokyo.ac.jp/matsui-group/
    • 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 award>
      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/