RESEARCHERS

Yuri Nishikawa Yuri Nishikawa

Yuri Nishikawa

Completed Master’s degree in School of Science for Open and Environmental Systems
Technology Innovation Division

Completed Master’s degree in School of Science for Open and Environmental Systems, Graduate School of Science and Technology, Keio University. Doctor of Engineering.
Since being sent to Artificial Intelligence Research Center (AIRC) at National Institute of Advanced Industrial Science & Technology (AIST) in 2017, she has been working on research and development utilizing mainframe technology and AI technology and has been pursuing their industrial applications.
After she became a researcher at Panasonic, she involved in interface development. This experience inspired her interest in measuring and simulating human behavior. Therefore, she also has been working on location data analysis utilizing parallel computing and its applications.
She is an expert in parallel computing, high-performance computing (HPC), and location data analysis.
[Interview]Become a doctor to improve the flow of things.

*The department is where the interviewee belonged to at that time

Publications

  • IEEE Ineternational Conference on Consumer Electronics(ICCE) 2019

    Lifestyle analysis with IoT data acquired from coffee roaster for service development

    Masaaki Terano, Ayaka Kimura, Jun Ozawa, Yuri Nishikawa, Takeshi Takenaka, Fuko Oura
    Link: https://ieeexplore.ieee.org/document/8661953

  • IEEE International Conference on Big Data (Big Data) 2018

    Mobility Optimization on Cyber Physical System via Multiple Object Tracking and Mathematical Programming

    Nozomi Hata, Takashi Nakayama, Akira Tanaka, Takashi Wakamatsu, Akihiro Yoshida, Nariaki Tateiwa, Yuri Nishikawa, Jun Ozawa, Katsuki FujisawaTakenaka, Fuko Oura
    Link: https://ieeexplore.ieee.org/document/8622146

  • The 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018)

    OpenMP and GPGPU Implementations of Probabilistic Occupancy Map for Multiple Human Position Estimation

    Yuri Nishikawa, Hitoshi Sato, Jun Ozawa
    Link: https://ieeexplore.ieee.org/document/8616537

  • IEEE Conference on Consumer Electronics (ICCE) 2018

    Multiple sports player tracking system based on graph optimization using low-cost cameras

    Yuri Nishikawa, Hitoshi Sato, Jun Ozawa
    Link: https://ieeexplore.ieee.org/document/8326126

  • IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD) at the IEEE BigData 2017

    Performance evaluation of multiple sports player tracking system based on graph optimization

    Yuri Nishikawa, Hitoshi Sato, Jun Ozawa
    Link: https://ieeexplore.ieee.org/document/8258259