Shinagawa Etchujima Campus
Graduate School of Marine Science and Technology
The Graduate School of Marine Science and Technology has a doctoral course divided into a master's course and a doctoral course, and trains independent highly specialized professionals who open up cutting-edge fields.Furthermore, in collaboration with the Japan Fisheries Research and Education Agency, the Japan Agency for Marine-Earth Science and Technology, and the National Institute of Maritime, Port and Aviation Technology, we will further enhance education and research and improve the quality of graduate students. We are trying to
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School of Marine Life ScienceShinagawa Campus
- Department of Marine Biological Resources
- Department of Food Production Science
- Department of Ocean Policy and Culture
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School of Marine TechnologyEtchujima Campus
- Undergraduate Course of Maritime Systems Engineering
- Undergraduate Course of Marine Electronics and Mechanical Engineering
- Undergraduate Course of Logistics and Information Engineering
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Faculty of Marine Resources and EnvironmentShinagawa Campus
- Department of Marine Environmental Science
- Department of Marine Resources and Energy
[Awards and Commendations] Atsuki Shigemura (2nd year master's student) won the Student Award at the GeoSciAI2025 AI model creation competition for earth and planetary science data.
Earth and planetary science dataAIModel creation competition "GeoSciAI2025'(Organized by: Japan Geoscience Union Co-organized by: Japanese Society for Artificial Intelligence)At the 2019 Symposium on Planetary Sciences, a graduate student from our university, Atsuki Shigemura, won the Student Award and was recognized by the Japan Geoscience Union.2025During the annual conference5Month25The award ceremony was held on the day.
【Winner】
Atsuki Shigemura (Graduate School of Marine Science and Technology, master's course)2Department of Marine Resources and Environmental Studies)
[Outline of Awards]
GeoSciAI is a service that provides data on Earth and planetary sciences.AIThis is a model-making competition.AIIn the competition, participants will create models that achieve the task objectives using provided data, and compete for evaluation scores based on the evaluation data.2025This year, the subjects were divided into earthquake and space weather fields. Shigemura took on the challenge of "Developing a deep learning model for seismic waveform denoising," which was given as the earthquake subject and aims to improve the signal-to-noise ratio of seismic waveforms when earthquakes occur. After evaluation, he won the Student Award.
* Denoising: Noise removal
<Related links>
GeoSciAI2025 website