LAB LOGA page on LabLog, a review site (not the lab's official page)
Mizuno Lab
Machine-translated · View original
The lab uses ultrasound, cameras, and AI to make the underwater world of the sea visible.
AboutAbout the lab
Developing technologies to interact and live in harmony with the environment, and putting them into practice in society
Mizuno Lab conducts research that addresses environmental issues, drawing on measurement engineering and information science.
The lab develops new measurement technologies that use ultrasound and light to obtain quantitative data on environments such as seas and lakes efficiently.
The images and other data collected are analyzed through information processing centered on deep learning (AI).
Members often go out on fieldwork, and the lab carries its technologies all the way to practical use in society.
Key terms
- Camera array
- A system in which multiple cameras are arranged side by side and shoot simultaneously, so that a wide area can be captured at once
- Deep learning
- An AI method that learns features from large amounts of data using neural networks with many stacked layers
- Sediment
- Sand and mud that have accumulated on the bottom of seas and lakes. Organisms such as shellfish also live in it
NewsLab news
A paper co-authored by Associate Professor Mizuno was accepted by Signal Processing
A joint study with Tokyo University of Science was accepted by Measurements
A joint study with Tokyo University of Science was accepted by Results in Engineering
Won first place in the Free Technology category in the first-round competition of the NEDO Challenge
A master's student won an award in the poster category at IEEE-OES Oceans 2026
ResearchResearch themes
The lab studies the mutual influences between nature and humans, focusing on aquatic fields such as seas and lakes. It develops new environmental measurement technologies using ultrasound and light, along with information processing technologies such as deep-learning-based image processing, and is advancing their implementation in society.
*Illustrative imageA camera that surveys the seafloor quickly and widely
In collaboration with Windy Network Inc., the lab developed a camera array that is towed by a boat and photographs a wide area of the seafloor in a short time. 3D models of the seafloor are built from the photographs, and AI identifies the distribution of corals.
*Illustrative imageA portable seafloor imaging system
This is a version of the seafloor imaging camera array that fits in a suitcase and can be carried around. It is expected to advance seafloor surveys along the coasts of remote islands and developing regions, where underwater robots are difficult to bring in.
*Illustrative imageThe surfboard prototype
This is the first prototype of the seafloor imaging camera array. It was a simple setup consisting of a waterproof digital camera attached to a surfboard, and the development started from here.
*Illustrative imageSeeing beneath the seafloor with sound
The lab is developing a system that uses sound waves to visualize the inside of seafloor sediment in 3D without disturbing it. The technology is intended for studying organisms such as shellfish that live in the sediment, as well as environmental changes.
MembersFaculty
The members of Mizuno Lab consist of faculty, secretaries, project researchers, and doctoral, master's, and undergraduate students.As of 2026
- Associate ProfessorKatsunori MizunoPublications ↗
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
On a 4-point scale, ● marks where students' answers fall
Who is this lab for?
What's great about this lab?
What did you learn after joining?
What's the vibe, and what is the professor like?
Where do graduates go?
RelatedLabs similar to Mizuno Lab
Ocean Environment Systems LabFaculty of Engineering, Department of Systems InnovationImpact assessment of ocean use on the environment and ecosys…
Kato-Nakamura-Yasukawa LabFaculty of Engineering, Department of Systems InnovationExploration and evaluation of earth resources such as seaflo…
SCS LabFaculty of Engineering, Department of Systems InnovationSmart structural systems for structural self-diagnosis using…
Shimazoe LabFaculty of Engineering, Department of Systems InnovationQuantum measurement, quantum imaging, and medical engineerin…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Posidonia oceanica meadow - Underwater observation and exploration - Calanque de Sormiou - 2022” Karim saari / CC BY 4.0 (cropped)
- A camera that surveys the seafloor quickly and widely: “Coral Outcrop Flynn Reef” Toby Hudson / CC BY-SA 3.0 (cropped)
- A portable seafloor imaging system: “Undervattenskamera-2017” Foto: Jonn Leffmann / CC BY 3.0 (cropped)
- The surfboard prototype: “Handmade surfboard (Unsplash)” Sweet Ice Cream Photography sweeticecreamphotography / CC0 (cropped)
- Seeing beneath the seafloor with sound: “Ameixas do Carril - Vilagarcía de Arousa-27” Luis Miguel Bugallo Sánchez / CC BY-SA 3.0 (cropped)
- Related lab (Ocean Environment Systems Lab): “Posidonia oceanica meadow and school of Salema porgy - Exploration and observation - Calanque de Sormiou - June 2022” Karim saari / CC BY 4.0 (cropped)
- Related lab (Kato-Nakamura-Yasukawa Lab): “Deep Discoverer ferromanganese nodules North Atlantic 2021” NOAA
（撮影者不明） / Public domain (cropped) - Related lab (SCS Lab): “A starling murmuration - geograph.org.uk - 6389346” Walter Baxter / CC BY-SA 2.0 (cropped)
- Related lab (Shimazoe Lab): “PET Normal brain” US National Institute on Aging, Alzheimer's Disease Education and Referral Center / Public domain (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.