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Shimosaka Research Group

pursuing MIUBIQ (machine intelligence in UbiComp Research)

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Members

Members

Director

Masamichi Shimosaka
Associate Professor

Staffs

Masami Kuramoto
Assistant Staff
Yuko Nagai
Assistant Staff
Ai Saijo
Assistant Staff
Mari Suzuki
Assistant Staff

Research collaborator

Hirokatsu Kataoka
The National Institute of Advanced Industrial Science and Technology (AIST)

Students

Koki Aizawa
Ph.D. candidate (working professional)
Koji Takeda
Ph.D. candidate (working professional)
Shunsuke Oshino
master’s students
Ikuhiro Shibatsuka
master’s students
Tetsushi Takanishi
master’s students
Mengyan Zhong
master’s students
Hibiki Matsuguma
master’s students
Takumi Matsushita
master’s students
Yaolong Zhang
master’s students
Riki Kadota
Bachelor’s students
Kazusa Kondo
Bachelor’s students
Nguyen Tien Dung
Bachelor’s students

Alumni

See alumni page

Social Networks

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Recent News

  • Learning Safe and Stable Driving with IRL: Learning from Temporally Localized Failures 2026/03/31
  • Presenting our paper on Hand object manipulation Recognition with ultrasonic and IMU at PerCom2026 demo session 2026/03/18
  • Efficient Urban Dynamics Forecasting by Geometrically Complemented Multi-task Poisson Regression. 2026/03/04
  • Omni-CityMood: Vision-based Urban Atmosphere Perception from Every Angle at SIGSPATIAL2025 2025/11/04
  • Presenting our paper on Continuous Inverse Reinforcement Learning with State-wise Safety Constraints for Stable Driving Behavior Prediction at ITSC2025 2025/10/30
  • Presenting our paper on Exploiting Periodic UWB CIRs for Robust Activity Recognition with Attention-aware Multi-level Wavelet at PerCom2025 2025/02/15
  • Presenting our paper on revealing Universities’ Atmosphere from Visitor Interests has been presented at IEEE BigData 2024 2024/12/16
  • Our paper on adaptive incremental-decremental BLE placement optimization for accurate indoor positioning has been presented at IPIN2024. 2024/10/23
  • Presenting two papers at SIGSPATIAL 2024 2024/10/23
  • Forecasting Crowded Events using Public Announcements with Large Language Models 2024/10/15

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