Title |
Professor |
Researcher Number(JSPS Kakenhi) |
00628472 |
Laboratory Address |
1 Senbaru,Nishihara,Okinawa 903-0213 |
Mail Address |
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Laboratory Phone number |
+81-98-895-8949 |
Homepage URL |
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Profile |
Dr. Takayuki Nakachi is a Professor of the Information Technology Center in University of the Ryukyus. He received the Ph.D. degree in electrical engineering from Keio University, Tokyo, Japan, in 1997. Since he joined Nippon Telegraph and Telephone Corporation (NTT) in 1997, he has been engaged in research on super-high-definition image/video coding, media transport technologies. From 2006 to 2007, he was a visiting scientist at Stanford University. He also actively participates in MPEG international standardization. His current research interests include secure and light-weight AI technologies based on sparse modeling, and communication science. He received the 26th TELECOM System Technology Award, the 6th Paper Award of Journal of Signal Processing, the Best Presentation Award of ACM ICAAI 2024, IEEE WSCE 2023, and the Best Paper Award of IEEE ISPACS2015. Dr. Nakachi is a member of the Institute of Electrical and Electronics Engineers the Institute of Electronics (IEEE) and the Information and Communication Engineers (IEICE) of Japan. |
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NAKACHI Takayuki
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Current Affiliation Organization 【 display / non-display 】
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Duty University of the Ryukyus Information Technology Center Professor
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Concurrently University of the Ryukyus Graduate School of Engineering and Science Interdisciplinary Intelligent Systems Engineering Professor
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Concurrently University of the Ryukyus Graduate School of Engineering and Science Computer Science and Intelligent Systems Professor
Study abroad experiences 【 display / non-display 】
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2006.09-2007.08
Standford University
External Career 【 display / non-display 】
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1997.04-2021.03
NTT Network Innovation Laboratories, Nippon Telegraph and Telephone Corporation
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2006.09-2007.08
Visiting Scientist, Stanford University
Affiliated academic organizations 【 display / non-display 】
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The Institute of Electronics, Information and Communication Engineers
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IEEE (Institute of Electrical and Electronics Engineers)
Research Interests 【 display / non-display 】
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Edge AI Machine Learning
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Secure Signal Processing
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Super-high Definition Image/Video Coding
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Channel Coding
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Data Science
Research Areas 【 display / non-display 】
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Informatics / Information security
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Informatics / Information network
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Informatics / Intelligent informatics
Published Papers 【 display / non-display 】
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Content Caching Oriented Popularity Forecast and User Clustering
Yitu Wang, Qi Chen , Wei Wang , Takayuki Nakachi , Guangchen Zhang , Juinjei Liou
IEEE Internet of Things Journal ( IEEE ) 11 ( 23 ) 38425 - 38440 2024.12 [ Peer Review Accepted ]
Type of publication: Research paper (scientific journal)
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Access this article
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Privacy-Preserving Resource Management for Distributed Collaborative Edge Caching Systems
Qi Chen, Yitu Wang, Wei Wang, Takayuki Nakachi, Zhaoyang Zhang
IEEE Internet of Things Journal ( IEEE ) 11 ( 21 ) 34296 - 34311 2024.11 [ Peer Review Accepted ]
Type of publication: Research paper (scientific journal)
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Access this article
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Adaptive Task Offloading for Mobile Edge Computing With Forecast Information
Yitu Wang; Mengxue Kong; Guangchen Zhang; Wei Wang; Takayuki Nakachi; Juinjei Liou
IEEE Transactions on Vehicular Technology ( IEEE ) 2024.10 [ Peer Review Accepted ]
Type of publication: Research paper (scientific journal)
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Stochastic Resource Allocation and Delay Analysis for Mobile Edge Computing Systems
Yitu Wang, Wei Wang, Vincent K. N. Lau, Takayuki Nakachi, Zhaoyang Zhang
IEEE Transactions on Communications ( IEEE ) 71 ( 7 ) 4018 - 4033 2023.07 [ Peer Review Accepted ]
Type of publication: Research paper (scientific journal)
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Access this article
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Pattern Discovery and Multi-slot-ahead Forecast of Network Traffic: A Revisiting to Gaussian Process
Yitu Wang, Takayuki Nakachi, Wei Wang
IEEE Transactions on Network and Service Management 20 ( 2 ) 1691 - 1706 2022.10 [ Peer Review Accepted ]
Type of publication: Research paper (scientific journal)
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Access this article
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Books 【 display / non-display 】
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Anomaly Detection technology using Machine Learning and Deep Learning and Application Examples (in charge: Chap. 1 Sec. 7 Sparse modeling and its application to anomaly detection)
Takayuki Nakachi, Others ( Part: Multiple Authorship )
NTS Inc. 2022.12
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Digital Signal Processing I/II
John G, Proakis 他著, 浜田望, 田口亮, 近藤克哉, 仲地孝之 ( Part: Joint Translation )
Kagaku Gijutsu Syuppan 2001
Other Papers 【 display / non-display 】
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[Tutorial] Privacy-Preserving Sparse Data Modeling in Encrypted Domain
Takayuki Nakachi, Yukihiro Bando
IEICE Fundamentals Review ( IEICE ) 16 ( 2 ) 100 - 114 2022.10 [Refereed]
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Reliable and Distributed Media Processing Technology based on Secured Sparse Coding
NTT Network Innovation Labs.
NTT R&D ( NTT R&D ) 2020.09
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[Tutorial] Towards Secured and Transparent AI Technologies in Hierarchical Computing Networks
Yitu Wang, Takayuki Nakachi
NTT Technical Review 2019.09
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[Tutorial] A Media Transport Technology MMT in the Post-Ultra High Definition Age (in Japanese)
Takayuki Nakachi
IEICE ESS Fundamentals Review 2018.04
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Media Transport and Signal Processing Technologies for 8K Super Hi-Vision:4. MMT AL-FEC Codes -8K Super Hi-Vision Broadcasting over Internet- (in Japanese)
Takayuki Nakachi
Journal of Information Processing Society of Japan 58 ( 2 ) 112 - 115 2017.01
Presentations 【 display / non-display 】
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[Invited Lecture] Small Data Driven Machine Learning and Secure Computation
Takayuki Nakachi
Visual Informatics Symposium at Institute of Informatics, Osaka Electro-Communication University) 2023.03 - 2023.03
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[Online Seminar] Small Data Machine Learning and Edge AI
Takayuki Nakachi
JOHOKIKO Seminar 2023.01 - 2023.01
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[Invited Talk] Application of Small Data-driven Machine Learning to State Estimation and Prediction of Nuclear Fusion Plasma
Takayuki Nakachi
3rd Plasma Informatics Workshop 2023.01 - 2023.01
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[Invited Talk] Ultra-high-definition Video Encoding and Transmission Technologies Using Edge Cloud for Beyond 5G Era
Takayuki Nakachi
Technology Research Group for Information Technology Centers 2022.09 - 2022.09
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[Invited Talk] Sparse Modeling in the AI Machine Learning Era
Takayuki Nakachi
The 35th Workshop on Circuits and Systems 2022.08 - 2022.08
Academic Awards 【 display / non-display 】
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ACM ICAAI 2024 Best Presentation Award
2024.10 ACM Privacy-preserving Bayesian Inference for Sparse Gaussian Processes
Winner: Takayuki Nakachi
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IEEE WSCE 2023 Best Presentation Award
2023.09 IEEE A Design Method for Golomb Coding in Layered Scrambled JPEG XS Scheme
Winner: Takayuki Nakachi
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2022 IEICE EMM Study Group Excellence Research Award
2023.03 IEICE EMM Study Group RUT Computation of Gaussian Process Regression for Encrypting Input and Output Signals
Winner: Takayuki Nakachi, Yitu Wang
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IEEE ISPACS2015 Best Paper Award
2015.11 IEEE Layered Lossless Video Coding based on Slepian-Wolf Theorem
Winner: Takayuki Nakachi
Grant-in-Aid for Scientific Research 【 display / non-display 】
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Secure edge AI machine learning that works with small amounts of data
Grant-in-Aid for Scientific Research(C)
Project Year: 2022.04 - 2025.03
Total: 3,200,000 (YEN)
Other External funds 【 display / non-display 】
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Project Name: CRONOS
Project Year: 2024.10 - 2029.03
Investigator(s): Mitsuru Maruyama Offer Organization: Japan Science and Technology Agency (JST)
Joint Research activities 【 display / non-display 】
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Collaboration of Distributed Computing Resources within SINET6 Using SRv6 Service Function Chaining
Project Year: 2024.04 - 2025.03
Direct: 1,500,000 (YEN) Total: 1,500,000 (YEN)
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Joint research on real space information understanding and wireless communication state estimation using small data-driven AI
Project Year: 2023.09 - 2024.02
Investigator(s): Takayuki Nakachi Member: Hiroyuki Ishihara (NTT Labs.)
Total: 1,700,000 (YEN)
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Sparse Modeling/Gaussian Process for State Estimation and Prediction of Fusion Plasma
Project Year: 2023.01 - 2024.02
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Media processing and transmission application technologies using small data driven AI
Project Year: 2022.06 - 2023.02
Member: Hiroyuki Ishihara, et al. (NTT Labs.)
Total: 2,000,000 (YEN)
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Machine learning works with small data and its applications to communications
Project Year: 2021.12 - 2022.02
Investigator(s): Takayuki Nakachi Member: Yitu Wang, et al. (NTT Labs.)
Total: 1,000,000 (YEN)
Social Activity 【 display / non-display 】
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Councilor, IT Innovation and Strategy Center Okinawa
2022.06-2026.06
Media Coverage 【 display / non-display 】
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Development of Communication Quality Prediction Technology that Fuses Machine Learning (in Japanese) Newspaper, magazine
Business Communication 2020.6
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Next Generation Media Transport MMT - from Media Distribution to High Definition Video Creation - (in Japanese) Newspaper, magazine
The Motion Picture and Television Engineering 2015.11
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Next Generation Media Transport MMT - from Media Distribution to High Definition Video Creation - (in Japanese) Newspaper, magazine
FORN 2014.7