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Fisheries Information Engineering Lab (Fisheries Engineering Division)
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A fisheries information engineering lab that reexamines fishing and aquaculture through simulation.
AboutAbout the lab
Seeing the fishing industry through information engineering.
The Fisheries Information Engineering Lab researches and develops fisheries systems and the technologies that support them from the perspective of information engineering.
Using fish school simulation, which reproduces the movements of fish schools on a computer, the lab studies the catch efficiency of set nets and the efficiency of land-based aquaculture.
The lab also uses fluid analysis and image recognition technologies to analyze flows inside aquaculture tanks and to study how fish swim from underwater video.
Professor Hiroki Yasuma's research areas include acoustic observation of marine organisms, mesopelagic ecosystems, and seaweed beds.
Key terms
- Set net
- A fishing method in which a net is set at a fixed location in the sea and catches fish that enter it. It is a fishery that waits for fish to come
- Bycatch
- Organisms other than the targeted fish that are caught in the net together with the target catch
- Land-based aquaculture
- A method of raising fish or shellfish in tanks placed on land rather than in the sea
NewsLab news
Paper analyzing fish swimming trajectories from underwater video published in Ecological Informatics
Paper discussing the profitability of land-based abalone aquaculture published in Aquaculture Research
Paper on aquaculture simulation technology for rainbow trout published in Scientific Reports
Paper evaluating the feasibility of carbon-neutral aquaculture published in Fisheries Science
ResearchResearch themes
The lab researches and develops fisheries systems and their component technologies from the perspective of information engineering. Using simulations that reproduce the behavior of fish schools, it tackles challenges in both fishing and aquaculture.
*Illustrative imageSimulations to reduce bycatch in set nets
Because set nets are a passive fishing method that waits for fish to enter, they also catch fish that are not targeted, which is known as bycatch. To reduce bycatch, the lab is conducting research that uses fish school simulation to evaluate the catch efficiency of set nets.
*Illustrative imageDeveloping an aquaculture simulator
Land-based aquaculture, which is attracting attention, faces high costs and challenges with profitability. The lab is developing an "aquaculture simulator" that uses simulation to clarify how to secure profit while keeping costs down, and this technology is used by a university spin-off venture.
MembersFaculty
The members of the Fisheries Information Engineering Lab consist of faculty, doctoral students, master's students, undergraduate students, and exchange students.As of 2026
- ProfessorHiroki Yasuma
- Associate ProfessorYuki Takahashi
- Project Assistant ProfessorNguyen Minh Khiem
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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: “Ouray National Fish Hatchery-Grand Valley Unit's 24 Road indoor recirculating facility ( )” USFWS Mountain Prairie / Public domain (cropped)
- Simulations to reduce bycatch in set nets: “Set Net Fishery off Enoshima” Miyuki Meinaka / CC BY-SA 4.0 (cropped)
- Developing an aquaculture simulator: “Salmon hatchery pilot project ( )” USFWS Pacific / Public domain (cropped)
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（藤森康澄 教授） ): “Hakodate squid fishing 2005-08” Geomr / CC BY-SA 3.0 (cropped)
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