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Jin Lab
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The lab uses big data and AI to understand people and support each individual.
AboutAbout the lab
Technology that understands people and supports them
The Jin Lab (Network Information Systems Lab) studies how to understand human beings using big data and AI.
From comprehensive data analysis, the lab builds a personal model of each individual and applies it to healthcare and learning support tailored to that person.
The lab's guiding principles are "Technology for the Common Good of Humanity" and "Computing for Human Well-being."
Through convergent research that crosses disciplines, the lab takes on global challenges such as climate change and a declining birthrate and aging population.
Key terms
- Digital twin
- A model created inside a computer that mirrors the state of a real person or object
- Convergent research
- An approach to research that brings together knowledge from many fields to tackle complex problems across disciplinary boundaries
- Cyber-physical-social systems
- Systems that link physical space, the space inside computers, and the connections between people
NewsLab news
Held a lab seminar information session and open lab seminars ahead of registration for the academic year 2027 specialized lab seminars
A jointly authored paper received the Andrew P. Sage Best Transactions Paper Award from IEEE Transactions on Computational Social Systems
A student received the ACM Best Student Paper Award at IEA/AIE 2025
A student received the IEEE Best Student Paper Award at IEEE CyberSciTech 2024
A jointly authored paper received the Best Paper Award 2024 from CCF Transactions on Pervasive Computing and Interaction
ResearchResearch themes
The lab explores human beings through big data and uses an integrated, AI-based approach to understand the many facets of people. Its goal is to build personalized smart services that provide high-quality healthcare and learning support suited to each individual.
*Illustrative imageComprehensive data analysis
The lab uses AI to analyze the wide variety of data accumulating around the world in an advanced and comprehensive way. The aim is to create a personal model (digital twin) of each individual from this analysis.
*Illustrative imageBuilding a foundation for connecting data
The lab studies a trustworthy foundation that allows scattered data to be connected, shared, and put to use with confidence.
*Illustrative imageCyber-physical-social systems
The lab works on systems that link physical space, the space inside computers, and the connections between people.
*Illustrative imageApplications to healthcare and learning support
The lab applies the results of its analysis to healthcare and learning support tailored to each individual. It also works on applications toward realizing a carbon-neutral society.
MembersFaculty
The Jin Lab consists of faculty members, graduate students in the doctoral and master's programs, and undergraduate students.As of 2026
- ProfessorQun Jin
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: “SmartCare wrist-worn pulse oximeter” Peter H Charlton / CC BY 4.0 (cropped)
- Comprehensive data analysis: “NOIRLab HQ Server Racks (6V6A0395-CC)” NOIRLab/NSF/AURA/T. Slovinský / CC BY 4.0 (cropped)
- Building a foundation for connecting data: “Ethernet Patch Panel” Kbh3rd / CC BY 4.0 (cropped)
- Cyber-physical-social systems: “Cincinnati aerial at night 2017” Antony-22 / CC BY-SA 4.0 (cropped)
- Applications to healthcare and learning support: “2023 Stetoskop” Jacek Halicki / CC BY-SA 4.0 (cropped)
- Related lab (Fujimoto Lab): “Exo-Skin Soft Haptic exoskeletal interface DSCF2171” Mary Mark Ockerbloom / CC BY-SA 3.0 (cropped)
- Related lab (Momose Lab): “BA17 Primary visual cortex - lateral view” Polygon data were generated by Database Center for Life Science(DBCLS)[2]. / CC BY-SA 2.1 jp (cropped)
- Related lab (Matsui Lab): “Colouring pencils” MichaelMaggs / CC BY-SA 3.0 (cropped)
- Related lab (Kikuchi Lab): “Visualization of Sound Waves - 7 of 10” Amanda.yuu / CC BY 4.0 (cropped)
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