2025 Research Themes

Program Number of themes
Undergraduate 14
Doctoral 2
Master’s 5

Undergraduate Students

Student Research theme
Dewmi Real-Time Object Detection and Decision Making for Safe Autonomous Vehicle Behaviour at Mixed Traffic Intersections
Sadeeka Texture and Weight Recognition Using MEMS-Based Tactile and Force Sensors for Robotic Haptic Feedback Systems
Tomoki Shimomura Estimating workloads in factories using image processing
Riku Morita A 3D pottery jigsaw-puzzle game using a scanner
Koki Yamamoto Proposal and evaluation of a university information agent using a 3D avatar
Akihiro Sugimori Development and evaluation of a custom scheduler based on actual node utilization
Akihiro Shiono Proposal of an industry-wide data-sharing platform using blockchain
Shoto Yoshida Environmental sound classification using CNN-based mel-spectrogram analysis
Eisuke Makiuchi Anomaly-sound detection for factory machinery using pretrained models
Kasumi Kaneda A communication-support system using EEG responses to taste stimuli
Kota Mizote Machine-learning methods for word comprehension using EEG
Yusaku Tsukada UWB self-localization and an AR work-support system
Takuhiro Matsumura Robot navigation in factories using UWB
Tomoki Sakota Camouflage in 3D computer-generated spaces using NeRF

Doctoral Students

Student Research theme
Hayato Ogawa Comparative Study of Recognition for Student Attention Analysis: YOLO-Based Face Detection in Classroom Environments
Apirak Sang-ngencha Smart Warehouse Safety: Computer Vision for Forklift Driver Monitoring in Warehouse Setting

Master’s Students

Student Research theme
Kosuke Ota Generating shogi commentary with a large language model using comment retrieval tailored to game situations
Kodai Tawa Proposal and evaluation of a pedestrian and vehicle tracking system at intersections using 3D LiDAR
Misa Sakashita Development of a smartphone gadget to support long-distance relationships
Kosei Maruyama Proposal and evaluation of a pedestrian and vehicle tracking system at intersections using image recognition
Keigo Agatsuma An integrated model for individual cognitive-state estimation using EEG during decision-making tasks