鐘 雷

所属

• 情報通信企画部
  InfoTech-IS

学位・経歴

• 2018-

  トヨタ自動車（株）
  大規模車両データ収集・配信のための多段分散通信技術の研究開発・規格化

• 2015-
  2017

  国立情報学研究所、東京大学
  ビッグデータ分析による耐災害無線通信ネットワークに関する研究

• 2012-
  2015

  情報通信研究機構
  新世代ネットワークにおける無線通信ネットワーク仮想化とIoTに関する研究開発

• 2011-
  2012

  情報・システム研究機構
  パーソナルデータ利活用のためにプライバシー保護について技術を研究

• 2011

  総合研究大学院大学 博士（情報学）
  次世代無線ネットワークにおけるマルチユーザー空間分割多重化方式の最適化に関する研究

主な論文・著書・講演

論文、技術報告

• Telco APIを用いたエッジ向けトラフィック動的分散方式, 電子情報通信学会, ネットワークシステム研究会

• Fuzzy Logic-based Enhanced Edge Server Selection for Hierarchical Federated Learning, IEEE Globecom 2024

• Boosting Rare Scenario Perception in Autonomous Driving: An Adaptive Approach with MoEs and LoRA, IEEE Internet of Things Journal

• Evaluating LEO Satellite Communication for Connected Vehicles: An Integrated Simulation Approach, ERTICO - ITS Europe, The 30th ITS World Congress in Dubai

• ユーザー移動体験向上のためネットワークスライス動的切り替えするエッジ・クラウド連携, ERTICO - ITS Europe, The 30th ITS World Congress in Dubai

• Diversifying automotive connectivity: Coded content distribution over vehicle-to-vehicle networks, ERTICO - ITS Europe, The 30th ITS World Congress in Dubai

• A Fuzzy Logic-based Adaptive Multi-Robot Formation Tracking in Lossy Communication Environment, ERTICO - ITS Europe, The 30th ITS World Congress in Dubai

• Data Offloading Over Vehicular DTNs: City-Wide Feasibility Study in Nagoya, IEEE Open Journal of Vehicular Technology

• Hier-FedMeta: A Hierarchical Federated Meta-Learning Framework for Personalized and Efficient IoV Systems, IEEE Vehicular Technology Conference: VTC2024-Spring

• NUMo: Nagoya Urban Mobility Scenario for City-Scale V2X Simulations, IEEE VNC 2024

• LEO Satellite Simulation Framework for Connected Vehicles, IEEE GLOBECOM 2023

• A scalable approach to optimize traffic signal control with federated reinforcement learning, Nature Scientific Reports

• Communication-efficient Federated Learning for UAV Networks with Knowledge Distillation and Transfer Learning, IEEE, IEEE Global Communications Conference

• エッジ・クラウド連携を向上させるネットワークスライス動的切り替え方式, 電子情報通信学会, 電子情報通信学会NS研究会

• Blockchain-based Edge-assisted Knowledge Base Management for Semantic Communication in Remote Driving, IEEE, IEEE ICNP workshop

• Low-Latency Perception Sharing Services for Connected Autonomous Vehicles, IEEE, IEEE Vehicular Technology Conference

• Semantic Communication for Efficient Image Transmission Tasks based on Masked Autoencoders, IEEE, IEEE Vehicular Technology Conference

• DRL-assisted Network Selection for Federated IoV, IEEE, IEEE Internet of Things Magazine

• Meta-Networking: Beyond the Shannon Limit with Multi-faceted Information, IEEE, IEEE Network

• Semantic Segmentation-based Semantic Communication System for Image Transmission, Elsevier, Digital Communications and Networks

• コネクティッドカーでの利用を想定したLEO衛星通信シミュレータの開発, 電子情報通信学会, 電子情報通信学会　衛星通信研究会（2023年3月）

• On-device Federated Learning with Fuzzy Logic based Client Selection, ACM, ACM RACS 2022

• An Communication-Efficient Distributed Machine Learning Scheme in Vehicular Network, ACM, ACM RACS 2022

• Toward Efficient Blockchain for the Internet of Vehicles with Hierarchical Blockchain Resource Scheduling, MDPI, MDPI Electronics, 2022

• Fuzzy Logic based Client Selection for Federated Learning in Vehicular Networks, IEEE, IEEE Open Journal of the Computer Society, 2022

• Communication Resources Management based on Spectrum Sensing for Vehicle Platooning, IEEE, IEEE Transactions on Intelligent Transportation Systems, 2022

• Intelligent Network Slicing with Edge Computing for Internet of Vehicles, IEEE Access journal

• "Driving Data to the Edge: The Challenge of Traffic Distribution", Techinical Report, Automotive Edge Computing Consortium, 2019.

• "Building Dynamic Mapping with CUPS for Next Generation Automotive Edge Computing", IEEE CloudNet 2019.

• "Mission Planning for UAV-based Opportunistic Disaster Recovery Networks", IEEE CCNC, Jan. 2018.

• "Population-aware relay placement for wireless multi-hop based network disaster recovery", IEEE GLOBECOM , Dec. 2017.

• "Spatio-temporal data-driven analysis of mobile network availability during natural disasters", IEEE ICT-DM, Dec. 2016. (Best Paper Award)

• ほか、30件

講演

• Panel: Unlocking Innovation at the Edge: Stories and Experiences（AECC introduction）, ACM/IEEE, ACM/IEEE Symposium on Edge Computing

• Plenary Session: Wi-Fi driving innovation in the automotive market, Wi-Fi Alliance, Wi-Fi Alliance member meeting

• AECC Panel Discussion: Edge Computing in the Automotive Industry, Informa, 5G World Summit

• A Scalable Blockchain-based High-Definition Map Update Management System, IEEE International Smart Cities Conference 2021

• Service-aware 5G/B5G Cellular Networks for Future Connected Vehicles, IEEE International Smart Cities Conference 2021

• "Driving Data to the Edge - Challenges and Solutions in Automotive Edge Computing", Industry Panel, IEEE Global Communications Conference, 2019.

• "Automotive Edge Computing for Connected Vehicles", 依頼講演, 電子情報通信学会ソサイエティ大会, 2019.

• "Insights from the applied edge", Industry Panel, ACM/IEEE Symposium on Edge Computing, 2018.

• Future Vehicles Summit, Industry Panel, Mobile World Congress Shanghai 2018.

その他

• データローカライゼーション時代への対処：連合学習タスクフォースの取り組み, Woven by Toyota, Toyota Global Summit 2023