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Home > Tenured Faculties > Nakayama Yu

Tenured Faculties

Nakayama Yu

Affiliation Institute of Engineering
Division Division of Advanced Information Technology and Computer Science
Research field Computer Systems Engineering
Keyword(S) Adaptive network, Network architecture, Packet switching, Mobile sensing
Url http://web.tuat.ac.jp/~yu-nakayama/
Research experience

・Apr. 2008 - Aug. 2018: NTT Corporation
・Sep. 2018 - Mar. 2019: Aoyama Gakuin University (Assistant Professor)
・Apr. 2019 - Mar. 2022: Tokyo University of Agriculture and Technology (Associate Professor)
・Apr. 2022 - Present:Tokyo University of Agriculture and Technology (Associate Professor(Tenured))

Educational background

・Mar. 2006: B.Agr, Faculty of Agriculture, The University of Tokyo
・Mar. 2008: M.Env, Department of Natural Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo
・Mar. 2018: Ph.D in Info. and Commun. Eng, Graduate School of Information Science and Technology, The University of Tokyo

Awards

* The latest information is shown at the member's website.
(At Apr. 2022)
・NTT Access Service Systems Laboratories: Director Award (2010, 2012, 2013, 2014, 2018)
・IEICE Technical Commitee on Communication Systems: Encouragement award (2013)
・Graduate School of Information Science and Technology, The University of Tokyo: Director Award (2018)

Selected papers and publications

* The latest information is shown at the member's website.
(At Apr. 2022)
・Yu Nakayama, Kazuki Maruta, Takuya Tsutsumi, Kaoru Sezaki, "Optically Backhauled Moving Network for Local Trains: Architecture and Scheduling", IEEE Access, vol. 6, pp.31023--31036, 2018.
・Yu Nakayama, Kazuki Maruta, Takuya Tsutsumi, Kaoru Sezaki, "Wired and Wireless Network Cooperation for Wide-Area Quick Disaster Recovery", IEEE Access, vol. 6, pp. 2410--2424, 2018.
・Yu Nakayama, Takuya Tsutsumi, Kazuki Maruta, Kaoru Sezaki, "ABSORB: Autonomous Base Station with Optical Reflex Backhaul to Adapt to Fluctuating Demand", IEEE International Conference on Computer Communications (INFOCOM), Atlanta, USA, May. 2017.
・Yu Nakayama, "Dynamic Access Network Reorganization for the Depopulation Age", IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 45, no. 5, pp. 743--750, 2015.
・Yu Nakayama, Noriyuki Oota, "N Rate N+1 Color Marking: Per-Flow Fairness in Ring Aggregation Networks", IEEE Transactions on Communications, vol. 62, no. 12, pp. 4401--4412, 2014.

Research Description

With the spread of mobile devices such as smartphones and IoT devices, our lives are becoming increasingly convenient. The introduction of new services such as automated driving and MR (Mixed Reality) will continue in the future, and it is thought that the communication network will become more important as a social infrastructure. Mobile communication traffic continues to explosively increase and spatio-temporal fluctuations become remarkable. As a consequence, the efficiency and financial viability of conventional mobile networks are drastically deteriorated.

Based on this background, we are researching technologies related to next-generation networks and applications, and mechanisms to utilize them well. For example, we are considering to construct communication network more openly and efficiently by adopting methods such as crowdsourcing and sharing economy. In addition to research on low-latency traffic forwarding technology to provide highly real-time applications, we also want to advance research on responding to social issues such as population decline, disaster prevention, and biodiversity conservation.

About TUAT's tenure-track program

I think it is a very welcome system for young researchers because it is valuable to have an opportunity to become a principal investigator at an early stage. In addition, I think that it is a very good environment that can be recommended to other young researchers, as there is sufficient support for budgeting and acquisition of tenure. I hope this project will continue in the future, and such a system should be widely disseminated.

Future aspirations

I would like to work at my own pace without forgetting my first thought.