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Physical Information Measurement and Inverse Problems Lab
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The lab solves "inverse problems," which trace causes back from results, through measurement and mathematics.
AboutAbout the lab
Determining causes directly from results
The Physical Information Measurement and Inverse Problems Lab studies "inverse problems," in which a phenomenon is observed and its cause is estimated.
Inverse problems arise in many fields of engineering, including noninvasive measurement of the brain and human body, nondestructive testing of power plants and structures, and searching for people buried under rubble.
The lab starts from how to formulate the problem, that is, what to measure and how, and develops mathematical methods that obtain solutions directly, without relying on iterative computation.
The lab also works on controlling and designing the arrangements formed by groups of cells.
Key terms
- Inverse problem
- The problem of estimating, from data on an observed result, the cause that produced it
- Noninvasive measurement
- Measuring the inside of the body from the outside without harming the body
- Nondestructive testing
- Examining an object for internal flaws and defects without destroying it
- Active matter
- Matter made up of many elements that move on their own, like a group of cells
NewsLab news
A doctoral student received the U35 Award (Young Researcher Encouragement Award) at the 41st Annual Meeting of the Japan Biomagnetism and Bioelectromagnetics Society
A paper on searching for people needing rescue using a smartphone microphone was published in JASA Express Letters
Lecturer Miyazako received the Outstanding Research Award at a research meeting of the Society for Chemistry and Micro-Nano Systems
A master's student received the Dean's Award of the Graduate School of Information Science and Technology (for research achievements)
ResearchResearch themes
Inverse problems, which determine causes from results, appear not only in noninvasive measurement and nondestructive testing but also in designing physical fields for presenting sensations to humans and in creating orientation patterns of cells. The lab aims to systematically build a methodology common to this broad range of inverse problems, from its own perspective combining measurement and mathematics.
*Illustrative imageDirectly Solving Inverse Problems and Their Applications
The lab develops solution methods that reconstruct the quantity to be estimated directly from observed data, as well as methods for directly measuring the quantities that are essential for doing so. Applications include identifying epileptic foci using the brain's magnetic field, imaging the electrical and mechanical properties inside the human body with MRI, locating defects in ferromagnetic pipes, searching for people buried in rubble after earthquakes, and indoor smartphone localization.
*Illustrative imageControlling and Designing Structures Formed by Cell Populations
This research aims to control and design the structures that self-propelled matter, such as populations of cells (active matter), forms through self-organization. By adding an engineering approach to the physical laws common to matter, the lab aims to create molecular and cellular systems with new functions.
MembersFaculty
The members of the Physical Information Measurement and Inverse Problems Lab consist of faculty, technical assistants, and doctoral and master's students.As of 2026
- ProfessorTakaaki NaraPublications ↗
- LecturerHiroki MiyazakoPublications ↗
- Project Assistant ProfessorNaohiro Eda
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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: “Magnetic field around wire” Maciej J. Mrowinski / CC BY-SA 4.0 (cropped)
- Directly Solving Inverse Problems and Their Applications: “Close-up of wire rope assembly, Jardim da Fundação Calouste Gulbenkian, Lisbon, Portugal julesvernex2” Jules Verne Times Two / CC BY-SA 4.0 (cropped)
- Controlling and Designing Structures Formed by Cell Populations: “Nematic liquid crystal” Ingo Dierking / CC BY-SA 4.0 (cropped)
- Related lab (Brain Information Measurement and Control Lab (Amano-Nakayama Lab)): “Double cone coil” Baburov / CC BY-SA 4.0 (cropped)
- Related lab (Mathematical Data Science Lab): “Rosenbrock function 2” RokerHRO / Public domain (cropped)
- Related lab (Information Photonics Lab): “Detail of a Micropositioner on a Optical Table” Tobin from Rochester, NY, USA / CC BY-SA 2.0 (cropped)
- Related lab (Mathematical Bioinformatics Lab): “Mouse Embryo Cerebellum ( )” NIH Image Gallery from Bethesda, Maryland, USA / Public domain (cropped)
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