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Intelligent Sensing Lab
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A sensing lab that aims to build "autonomous intelligence" with cameras and AI.
AboutAbout the lab
Aiming to realize "autonomous intelligence"
The Intelligent Sensing Lab (ISLab) aims to realize "autonomous intelligence" and studies fundamental technologies such as computer vision, computational photography, machine learning, pattern recognition, and natural language processing, along with their applications.
The lab defines autonomous intelligence as intelligence equipped with the human functions of perception, thinking, and action.
The lab grew out of the Intelligent Information Infrastructure Division of the D3 Center at Osaka University. It is a cooperating lab of the Graduate School of Information Science and Technology and conducts joint research with organizations inside and outside the university.
The lab supports student-led research projects and helps students acquire knowledge and skills in related fields.
Key terms
- Computer vision
- Technology that enables computers to interpret the content of images and video captured by cameras.
- Computational photography
- Imaging technology that obtains images by combining the optical mechanisms of a camera with computational processing.
- Deep sensing
- An approach that jointly optimizes sensing (measurement) and the processing that follows it.
NewsLab news
A paper by Prof. Nagahara and colleagues was published in IEEE Transactions on Affective Computing
A paper by Prof. Nagahara and colleagues was published in IEEE Transactions on Biometrics, Behavior, and Identity Sci…
Assistant Professor Nishimura received the "IEEE ISBI 2026 Best Paper Award - Runner Up" (IEEE SPS + IEEE EMBS)
A paper by Prof. Nagahara and colleagues was published in the IEEE International Conference on Computational Photography
Assistant Professor Nishimura received the "Yamashita SIG Research Award" (Information Processing Society of Japan)
ResearchResearch themes
The Intelligent Sensing Lab aims to realize "autonomous intelligence" equipped with perception, thinking, and action, and studies fundamental technologies such as computer vision and machine learning, along with their applications. Its projects include international joint research, analysis of medical images and of pathology and microscopy images, and support for cancer cell diagnosis.
*Illustrative imageInternational Joint Research on Deep Sensing
As a JST Top ASPIRE project, the lab aims to generalize deep sensing, which jointly optimizes sensing and processing, and to develop new computational cameras. This international joint research aims to achieve high accuracy, low data requirements, and low computational cost across diverse vision and AI applications, and also to strengthen research collaboration among Japan, the US, and Canada.
*Illustrative imageMedical Image Analysis with Few Annotations
The lab studies methods that achieve highly accurate medical image analysis at low annotation cost, using approaches such as semi-supervised and weakly supervised learning.
*Illustrative imageIntegrated Analysis of Images and Gene Expression Data
The lab develops methods that use image analysis and machine learning to jointly analyze pathology and microscopy images together with omics data such as gene expression. It aims to contribute to understanding diseases and to diagnostic and therapeutic research.
*Illustrative image3D Image Recognition for Cancer Diagnosis Support
This research aims to automate cancer cell diagnosis, which has relied on visual inspection, through 3D shape measurement of cells, database construction, and machine learning for diagnosis. The goal is to develop a fast, highly accurate system to support cancer cell diagnosis.
MembersFaculty
The members of the Intelligent Sensing Lab consist of faculty, researchers, visiting researchers, interns, and students in the doctoral program, master's program, and undergraduate level.As of 2026
- ProfessorHajime Nagahara
- Associate ProfessorHideaki Hayashi
- Associate ProfessorHiroaki Santo
- Assistant ProfessorKazuya Nishimura
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Mirrorless Camera Sensor” Nulcheck / CC BY-SA 4.0 (cropped)
- International Joint Research on Deep Sensing: “Cromemco 1024-element image sensor used in Cyclops Camera (1975)” Cromemco / Public domain (cropped)
- Medical Image Analysis with Few Annotations: “Deep Learning” Sven Behnke / CC BY-SA 4.0 (cropped)
- Integrated Analysis of Images and Gene Expression Data: “Gene expression control” ArneLH / CC BY-SA 3.0 (cropped)
- 3D Image Recognition for Cancer Diagnosis Support: “Breast cancer cell (2)” Unknown photographer / Public domain (cropped)
- Related lab (ビッグデータ工学講座): “NOIRLab HQ Server Racks (6V6A0404-CC)” NOIRLab/NSF/AURA/T. Slovinský / CC BY 4.0 (cropped)
- Related lab (知能情報システム講座): “Wikimedia Foundation Servers-8055 03” Victorgrigas / CC BY-SA 3.0 (cropped)
- Related lab (量子情報システム講座): “Alice and Bob Cryostat” Nilhope / CC BY-SA 4.0 (cropped)
- Related lab (先進高性能計算基盤システム講座): “CSCS Supercomputer Alps 2” CS / CC BY-SA 3.0 (cropped)
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