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Hamagami Lab
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A lab that designs AI for use in society as a system.
AboutAbout the lab
Designing AI as a system, with the aim of real-world deployment in society.
The Hamagami Lab (Intelligent Systems Lab) works on research that deepens the fundamental technologies of artificial intelligence and machine learning.
Assuming that AI will be used in society, the lab pursues AI technology as systems engineering.
As applications, it is developing medical support that assists doctors' decision-making, and research that makes anomaly detection and management of infrastructure and similar systems more efficient.
Key terms
- Explainable AI
- An approach that makes it possible for people to understand why an AI produced a given answer. Also called XAI
- Transfer learning
- A learning approach in which results learned on one task are reused for another task
- Anomaly detection
- Finding states of infrastructure or large-scale systems that differ from normal
ResearchResearch themes
While deepening the fundamental technologies of artificial intelligence and machine learning, the lab studies AI technologies that can be used in settings such as healthcare and infrastructure. It aims to pursue AI technology as the systems engineering needed for real-world deployment in society.
*Illustrative imageFundamental technologies of AI and machine learning
This research deepens fundamental technologies, such as knowledge distillation, which is needed for explainable AI (XAI), and transfer learning, which is needed for reusable AI. The lab also aims for AI that can be designed to deliver performance that meets given specifications.
*Illustrative imageIntelligent medical support
The lab views healthcare as an intelligent system based on advanced medical knowledge and large amounts of data, and is developing applied research that uses artificial intelligence to support doctors' decision-making and work. It proposes component technologies and design methodology toward intelligent environments and services across the life sciences.
*Illustrative imageSmart society and infrastructure management
For aging infrastructure and large-scale systems, the lab uses artificial intelligence to make anomaly detection and lifecycle management, which have relied on human experience and intuition, more efficient and more advanced. It works on research that contributes to more efficient maintenance work and autonomous renovation of infrastructure.
MembersFaculty
The members of the Hamagami Lab consist of faculty, secretaries, doctoral, master's, and undergraduate students, and students who belong to other universities and receive supervision from the lab.As of 2026
- ProfessorTomoki Hamagami
VoicesStudent voices
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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: “SMART 2017 Conference (6)” Elekes Andor / CC BY-SA 4.0 (cropped)
- Fundamental technologies of AI and machine learning: “AI relation to Generative Models subset, venn diagram” The Original Benny C / CC BY-SA 4.0 (cropped)
- Intelligent medical support: “Diagnostic Imaging and Radiology Facility in Navi Mumbai, Maharashtra, India” Goleisureintl / CC BY-SA 4.0 (cropped)
- Smart society and infrastructure management: “SmartTotem” Bolondkamion / CC BY-SA 4.0 (cropped)
- Related lab (Shima Lab): “EMG - SIMI” D. Gordon E. Robertson / CC BY-SA 3.0 (cropped)
- Related lab (Shirakawa Lab): “UPS Power Management Module, racks with network cabling in NERSC data center” Derrick Coetzee from Berkeley, CA, USA / CC0 (cropped)
- Related lab (Fujimoto Lab (System Control Lab)): “Sunderland University Experimental Robot Arm” MichaelShort1975 / CC BY-SA 4.0 (cropped)
- Related lab (Quantum Walk Lab (Etsuo Segawa)): “Directed NetworkX Graph” KalebD07 / CC0 (cropped)
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