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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
64
Citations
15596
World Ranking
2613
National Ranking
15

Electronics and Electrical Engineering

D-Index
63
Citations
14581
World Ranking
1376
National Ranking
41

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Kaoru Ota is affiliated with Muroran Institute of Technology in Japan and has made substantial contributions in the fields of Computer Science and Engineering. Their research primarily focuses on several subfields, including Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, and Aerospace Engineering.

Their work covers a range of main topics such as IoT and Edge/Fog Computing, Blockchain Technology Applications and Security, UAV Applications and Optimization, Privacy-Preserving Technologies in Data, Age of Information Optimization, Advanced Wireless Communication Technologies, and Cryptography and Data Security.

Kaoru Ota has published extensively in prominent venues, frequently contributing to journals like:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Network Science and Engineering
  • IEEE Transactions on Green Communications and Networking
  • IEEE Network

Recent papers by Kaoru Ota include:

  • "Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach" (2023), IEEE Transactions on Intelligent Transportation Systems
  • "UAV-Based Real-Time Survivor Detection System in Post-Disaster Search and Rescue Operations" (2021), IEEE Journal on Miniaturization for Air and Space Systems
  • "Multi-UAV Cooperative Localization for Marine Targets Based on Weighted Subspace Fitting in SAGIN Environment" (2021), IEEE Internet of Things Journal
  • "Green AI for IIoT: Energy Efficient Intelligent Edge Computing for Industrial Internet of Things" (2021), IEEE Transactions on Green Communications and Networking
  • "Intelligent resource allocation management for vehicles network: An A3C learning approach" (2020), Computer Communications

Throughout their academic career, Kaoru Ota has collaborated with various researchers, with frequent co-authors including:

  • Mianxiong Dong
  • Chaoyang Li
  • Xiting Peng
  • Jian Li
  • Xiangjun Xin

Best Publications

  • Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing

    He Li;Kaoru Ota;Mianxiong Dong

  • Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing

    Liangzhi Li;Kaoru Ota;Mianxiong Dong

  • ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

    Yuxin Liu;Mianxiong Dong;Kaoru Ota;Anfeng Liu

  • Energy-Efficient Resource Allocation for D2D Communications Underlaying Cloud-RAN-Based LTE-A Networks

    Zhenyu Zhou;Mianxiong Dong;Kaoru Ota;Guojun Wang

  • Secure and Efficient Vehicle-to-Grid Energy Trading in Cyber Physical Systems: Integration of Blockchain and Edge Computing

    Zhenyu Zhou;Bingchen Wang;Mianxiong Dong;Kaoru Ota

  • Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles

    Liangzhi Li;Kaoru Ota;Mianxiong Dong

  • Energy-Efficient Matching for Resource Allocation in D2D Enabled Cellular Networks

    Zhenyu Zhou;Kaoru Ota;Mianxiong Dong;Chen Xu

  • RMER: Reliable and Energy-Efficient Data Collection for Large-Scale Wireless Sensor Networks

    Mianxiong Dong;Kaoru Ota;Anfeng Liu

  • Performance Guaranteed Computation Offloading for Mobile-Edge Cloud Computing

    Xiaoyi Tao;Kaoru Ota;Mianxiong Dong;Heng Qi

  • Energy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications

    Zhenyu Zhou;Mianxiong Dong;Kaoru Ota;Jun Wu

  • Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach

    Unknown

  • Big Data Analysis-Based Secure Cluster Management for Optimized Control Plane in Software-Defined Networks

    Jun Wu;Mianxiong Dong;Kaoru Ota;Jianhua Li

  • Assistant Vehicle Localization Based on Three Collaborative Base Stations via SBL-Based Robust DOA Estimation

    Huafei Wang;Liangtian Wan;Mianxiong Dong;Kaoru Ota

  • UAV-assisted data gathering in wireless sensor networks

    Mianxiong Dong;Kaoru Ota;Man Lin;Zunyi Tang

  • When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid

    Liangzhi Li;Kaoru Ota;Mianxiong Dong

  • FCSS: Fog-Computing-based Content-Aware Filtering for Security Services in Information-Centric Social Networks

    Jun Wu;Mianxiong Dong;Kaoru Ota;Jianhua Li

  • Joint Optimization of Lifetime and Transport Delay under Reliability Constraint Wireless Sensor Networks

    Mianxiong Dong;Kaoru Ota;Anfeng Liu;Minyi Guo

  • A Secure Mechanism for Big Data Collection in Large Scale Internet of Vehicle

    Longhua Guo;Mianxiong Dong;Kaoru Ota;Qiang Li

  • Big Data Analysis-Based Security Situational Awareness for Smart Grid

    Jun Wu;Kaoru Ota;Mianxiong Dong;Jianhua Li

  • Deep Learning for Mobile Multimedia: A Survey

    Kaoru Ota;Minh Son Dao;Vasileios Mezaris;Francesco G. B. De Natale

  • A Hierarchical Security Framework for Defending Against Sophisticated Attacks on Wireless Sensor Networks in Smart Cities

    Jun Wu;Kaoru Ota;Mianxiong Dong;Chunxiao Li

Frequent Co-Authors

Mianxiong Dong
Mianxiong Dong Muroran Institute of Technology
Jun Wu
Jun Wu Waseda University
Anfeng Liu
Anfeng Liu Central South University
Minyi Guo
Minyi Guo Shanghai Jiao Tong University
Zhenyu Zhou
Zhenyu Zhou North China Electric Power University
Song Guo
Song Guo Hong Kong University of Science and Technology
Haojin Zhu
Haojin Zhu Shanghai Jiao Tong University
Hongzi Zhu
Hongzi Zhu Shanghai Jiao Tong University
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Xuemin Shen
Xuemin Shen University of Waterloo

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