Ohtsuki Lab
with 250journals, 475 international conferences,
and more than 810 domestic and general conferences
Pickup News
M. Bouazizi, A.-L. Mora, and T. Ohtsuki, "A 2D Lidar-equipped unmanned robot-based approach for indoor human activity detection," Sensors 2023. が採録決定（2023年2月22日）
以下の論文が採録決定
K. Endo, T. Ishikawa, K. Yamamoto, and T. Ohtsuki, "Multi-Person Position Estimation Based on Correlation Between Received Signals Using MIMO FMCW Radar," in IEEE Access, vol. 11, pp. 2610-2620, 2023.
K. Endo, K. Yamamoto, and T. Ohtsuki, "A Denoising Method Using Deep Image Prior to Human-Target Detection Using MIMO FMCW Radar," Sensors 2022, 22(23), 9401.
S. Yang, M. Bouazizi, T. Ohtsuki, Y. Shibata, W. Takabatake, K. Hoshino, and A. Nagate, "Deep Reinforcement Learning Evolution Algorithm for Dynamic Antenna Control in Multi-Cell Configuration HAPS System," Future Internet 2023, 15(1), 34.
F. H. Panahi, F. H. Panahi, and T. Ohtsuki, "An Intelligent Path Planning Mechanism for Firefighting in Wireless Sensor and Actor Networks," in IEEE Internet of Things Journal, 2023 (accepted).
Y. Hu, X. Guan, B. Hu, Y. Liu, H. Chen and T. Ohtsuki, "Distributed Feature Selection Considering Data Pricing Based on Edge Computing in Electricity Spot Markets," in IEEE Internet of Things Journal, vol. 10, no. 3, pp. 2231-2244, 1 Feb.1, 2023.
C. Zhao, L. Ma, L. Wang, T. Ohtsuki, P.T. Mathiopoulos, and Y. Wang, "SAR Image Change Detection in Spatial-Frequency Domain Based on Attention Mechanism and Gated Linear Unit," IEEE Geoscience and Remote Sensing Letters (Accepted).
L. Sui, X. Guan, C. Cui, H. Jiang, H. Pan and T. Ohtsuki, "Graph Learning Empowered Situation Awareness in Internet of Energy with Graph Digital Twin," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2022.3227641.
D. Shi, L. Li, T. Ohtsuki, M. Pan, Z. Han and H. V. Poor, "Make Smart Decisions Faster: Deciding D2D Resource Allocation via Stackelberg Game Guided Multi-Agent Deep Reinforcement Learning," in IEEE Transactions on Mobile Computing, vol. 21, no. 12, pp. 4426-4438, 1 Dec. 2022, doi: 10.1109/TMC.2021.3085206.
X. Shi, K. Yamamoto, T. Ohtsuki, Y. Matsui, and K. Owada, ``Unsupervised Learning-Based Non-Invasive Fetal ECG Muti-Level Signal Quality Assessment," Bioengineering, 2023, 10(1), 66.
S. Nakatani, K. Yamamoto, and T. Ohtsuki, ``Fetal Arrhythmia Detection based on Labeling Considering Heartbeat Interval," Bioengineering, 2023, 10(1), 48.
D3 Yang, M2 Yoshizawa, M2 Wang, IEEE ICC2023に採録決定
R. Yoshizawa, K. Yamamoto, and T. Ohtsuki, ”Arterial Blood Pressure Waveform Estimation from Photoplethysmogram under Inter-subject Paradigm using Subject-distinguishable Dataset by U-Net and Domain Adversarial Training," IEEE International Conference on Communications (ICC2023), Rome, May, June 2023.
S. Wang, T. Ohtsuki, and M. Bouazizi, ”Non-contact Blood Pressure Estimation using Accurate Cardiac Movements extracted by Hidden semi-Markov Model," IEEE International Conference on Communications (ICC2023), Rome, May, June 2023.
S. Yang, M. Bouaizi, and T. Ohtsuki, ”Dynamic Antenna Control for HAPS Using Mean Field Reinforcement Learning in Multi-Cell Configuration," IEEE International Conference on Communications (ICC2023), Rome, May, June 2023.
M2 Li, IEEE WCNC2023に採録決定
Z. Li, T. Ohtsuki, and G. Gui, "Communication Efficient Heterogeneous Federated Learning based on Model Similarity," IEEE Wireless Communications and Networking Conference (WCNC2023), Glasgow, Mar. 2023.
F.H. Panahi, F.H. Panahi, and T. Ohtsuki, "A Reinforcement Learning-based Fire Warning and Suppression System Using Unmanned Aerial Vehicles," がIEEE Transactions on Instrumentation & Measurement, 2022に採録決定.
L. Wang, C. Zhao, P.T. Mathiopoulos, and T. Ohtsuki, ``Heart Action Monitoring From Pulse Signals Using A Growing Hybrid Polynomial Network," がEngineering Applications of Artificial Intelligence, vol. 117, Part A, Jan. 2023に採録決定．
大槻教授がStanford University Names World's Top 2% Scientistsに2022年も選出されました (2022.10.11)
M1 井上，IEEE CCNC2023に採録決定（2022.10.1）
M. Inoue, T. Ohtsuki, K. Yamamoto, and G. Gui, "Evaluation of Source Data Selection for DTL Based CSI Feedback Method in FDD Massive MIMO Systems," IEEE Consumer Communications and Networking Conference (CCNC2023), Las Vegas, NV, Jan. 2023
大槻教授がAPCC2022にて，チュートリアル講演 "Deep Learning Aided Intelligent Sensing and Identification for Secure Wireless Communications" をします．（2022.10.19）
大槻教授がPIMRC2022にてPanel 04: Promising technologies for Beyond5G/6Gのモデレータをします．（2022.9.13）
M2 Gao, 大槻教授，VTC2022 Fallに採録決定（2022.8.18）
J. Gao, M. Bouazizi, T. Ohtsuki, and G. Gui, "Adaptive DNN-based CSI Feedback with Quantization for FDD Massive MIMO Systems," IEEE Vehicular Technology Conference (VTC2022-Fall), London/Beijing, Sep. 2022.
H. Liu, C. Hao, Y. Peng, Y. Wang, T. Ohtsuki, and G. Gui, "An Effective Radio Frequency Signal Classification Method Based on Multi-Task Learning Mechanism," IEEE Vehicular Technology Conference (VTC2022-Fall), London/Beijing, Sep. 2022.
S. Xu, Z. He, W. Shi, Y. Wang, T. Ohtsuki, and G. Gui, "Cross-Person Activity Recognition Method Using Snapshot Ensemble Learning," IEEE Vehicular Technology Conference (VTC2022-Fall), London/Beijing, Sep. 2022.
X. Zhang, Y. Wang, Y. Lin, G. Gui, T. Ohtsuki, and H. Sari, "Data Augmentation Aided Few-Shot Learning for Specific Emitter Identification," IEEE Vehicular Technology Conference (VTC2022-Fall), London/Beijing, Sep. 2022.
元M2山田，APCC2022に採択決定（2022.8.19）
Y. Yamada and T. Ohtsuki, "Autoencoder-based Pilot Pattern Design for CDL Channels,'' The 27th Asia-Pacific Conference on Communications (APCC2022), Jeju Island, Korea, Oct. 2022.
大槻教授，電子情報通信学会ソサイエティ大会パネルセッション「BP-1. 6Gに向けた最新動向と技術展望 ～みんなでつくる6G～」にて，「6Gに向けた深層学習に基づく信号処理」について講演（2022.9.8）
C. Zheng, M. Bouazizi, and T. Ohtsuki, "An Evaluation on Information Composition in Dementia Detection Based on Speech,"がIEEE Accessに論文採録決定 (2022.8.17)
S. Yang, M. Bouazizi, Y. Cao, and T. Ohtsuki, "Inter-User Distance Estimation Based on a New Type of Fingerprint in Massive MIMO System for COVID-19 Contact Detection," がSensorsに論文採録決定 (2022.8.17)
M2 Shi, M2 Chen, M1 Nakatani, IEEE Globecom2022に採録決定 (2022.8.2)
X. Shi, K. Yamamoto, T. Ohtsuki, Y. Matsui, and K. Owada, "Unsupervised Representation Learning-based Doppler Ultrasound Signal Quality Assessment,'' IEEE Global Communications Conference (GLOBECOM2022), Rio de Janeiro, Brazil, Dec. 2022.
Y. Chen, M. Bouazizi, and T. Ohtsuki, "Social Robot Detection Using RoBERTa Classifier and Random Forest Regressor with Similarity Analysis,'' IEEE Global Communications Conference (GLOBECOM2022), Rio de Janeiro, Brazil, Dec. 2022.
S. Nakatani, K. Yamamoto, and T. Ohtsuki, "Fetal Arrhythmia Detection based on Deep Learning using Fetal ECG Signals,'' IEEE Global Communications Conference (GLOBECOM2022), Rio de Janeiro, Brazil, Dec. 2022.
T. Ohtsuki, "(Invite Paper) Machine Learning in 6G Wireless Communications,”がIEICE Transactions on Communicationsに論文採録決定 (2022.7.28)
C. Sun, X. Xiong, W. Ni, T. Ohtsuki, and X. Wang, "Max-Min Fair 3D Trajectory Planning for Solar-Powered UAV-Assisted Data Collection,'' IEEE International Conference on Communications in China (ICCC2022), Foshan City, China, Aug. 2022が採択決定
Y. Shibata, W. Takabatake, K. Hoshino, A. Nagate, and T. Ohtsuki, "Two-Step Dynamic Cell Optimization Algorithm for HAPS Mobile Communications," がIEEE Accessに論文採択決定 (2022.6.21)
大槻教授, KICS Summer Conference 2022にて "Machine Learning in 6G Wireless Communications"と題したKeynote講演予定(2022.6.23)
I. Seto, S. Otaka, H. Yoshida, K. Nonin, M. Nishikawa, T. Kato, Y. Nito, H. Ishikawa, and T. Ohtsuki, "Sub-GHz Two-Way Ranging based on Phase Detection for Remote Keyless Entry Systems," がIEEE Trans. on Vehicular Technologyに論文採択決定 (2022.5.20)
K. A. Muthukumar, M. Bouazizi, and T. Ohtsuki, "An Infrared Array Sensor-Based Approach for Activity Detection, Combining Low-Cost Technology with Advanced Deep Learning Techniques," がSensorsに論文採択決定 (2022.5.18)
"Semi-Supervised Federated Learning-Based Intrusion Detection Method for Internet of Things,"がIEEE Internet of Things Journalに論文採択決定 (2022.5.14)
M. Bouazizi and T. Ohtsuki, "Sarcasm Over Time and Across Platforms: Does the Way we Express Sarcasm Change?,"がIEEE Accessに論文採択決定 (2022.5.2)
L. Wang, T. Ohtsuki, K. Owada, N. Honda, and H. Hayashi, ``A Multi-Layer Hybrid Network with Its Application in Fetal Heart Rate Monitoring,"がIEEE Signal Processing Lettersに論文採択決定 (2022.4.26)
Recent Memory & Pickup Contents
Conference Schedule
2022/12/4-8 IEEE Globecom 2022
Y. Chen, X. Shi, 中谷
2022/8/11-13 IEEE/CIC ICCC
大槻
2022/9/6-9 電子情報通信学会ソサイエティ大会
大槻，柴田，吉澤，井上，中谷，Y. Chen, J. Gao, X. Shi, D. Yu, Z. Li
Pages for International Students
Our Projects
Communications Biomedical Engineering
Data Mining for SNS Machine Learning
Information Theory Activity Recognition
Leadership
Tomoaki Otsuki (Ohtsuki) received the B.E., M.E., and Ph. D. degrees in Electrical Engineering from Keio University, Yokohama, Japan in 1990, 1992, and 1994, respectively. From 1994 to 1995 he was a Post Doctoral Fellow and a Visiting Researcher in Electrical Engineering at Keio University. From 1993 to 1995 he was a Special Researcher of Fellowships of the Japan Society for the Promotion of Science for Japanese Junior Scientists. From 1995 to 2005 he was with Science University of Tokyo. In 2005 he joined Keio University. He is now a Professor at Keio University. From 1998 to 1999 he was with the department of electrical engineering and computer sciences, University of California, Berkeley. He is engaged in research on wireless communications, optical communications, signal processing, and information theory. Dr. Ohtsuki is a recipient of the 1997 Inoue Research Award for Young Scientist, the 1997 Hiroshi Ando Memorial Young Engineering Award, Ericsson Young Scientist Award 2000, 2002 Funai Information and Science Award for Young Scientist, IEEE the 1st Asia-Pacific Young Researcher Award 2001, the 5th International Communication Foundation (ICF) Research Award, 2011 IEEE SPCE Outstanding Service Award, the 27th TELECOM System Technology Award, ETRI Journal’s 2012 Best Reviewer Award, 9th International Conference on Communications and Networking in China 2014 (CHINACOM ’14) Best Paper Award, 2020 Yagami Award, and The 26th Asia-Pacific Conference on Communications (APCC2021) Best Paper Award. He has published more than 235 journal papers and 463 international conference papers.
He is now serving as a Director of the IEEE ComSoc Asia Pacific Board. He served as a Chair of IEEE Communications Society, Signal Processing for Communications and Electronics Technical Committee. He served as a technical editor of the IEEE Wireless Communications Magazine and an editor of Elsevier Physical Communications. He is now serving as an Area Editor of the IEEE Transactions on Vehicular Technology and an editor of the IEEE Communications Surveys and Tutorials. He has served as general-co chair, symposium co-chair, and TPC co-chair of many conferences, including IEEE GLOBECOM 2008, SPC, IEEE ICC 2011, CTS, IEEE GLOBECOM 2012, SPC, IEEE ICC 2020, SPC, IEEE APWCS, IEEE SPAWC, and IEEE VTC. He gave tutorials and keynote speeches at many international conferences including IEEE VTC, IEEE PIMRC, IEEE WCNC, and so on. He was Vice President and President of the Communications Society of the IEICE. He is a senior member and a distinguished lecturer of the IEEE, a fellow of the IEICE, and a member of the Engineering Academy of Japan.
Members
News
M1 吉澤，ICETC2021にてStudent Presentation Awardを受賞 (2021.12.09)
Important Announcement
大槻教授がStanford UniversityによるWorld's Top 2% Scientists, 2021 に選出されました (2021.10.26)
大槻教授がStanford University Names World's Top 2% Scientists に選出されました (2021.01.30)
大槻教授，電子情報通信学会通信ソサイエティ会長に就任 (2019.06.08)
慶應テクノモール2018にて展示したポスターのダウンロードはこちらから (2018.12.21)
大槻研究室が情報工学科研究室対抗フットサル大会(CSカップ)にて優勝 (2018.07.10)
大槻教授, 電子情報通信学会次期通信ソサエティ (CS) 会長に選出 (2018.07.01)
非接触型心拍検出システムに関する特許を申請 (2018.03.15)
大槻教授がセンター長を務める知的環境研究センターが設立 (2017.11.15)
ブロックチェーン技術を応用し、偽物製品を検知する所有権管理システムの開発に成功 (2017.07.10)