Profile

Hideki Tomimori
Security Science Laboratory
Graduate School of Frontier Sciences
Joined Fujitsu in 2009
My Purpose: Creating a world where I wake up excited to research
Article|2026-05-28
Driven by a pure passion for making things
From an early age, I was the kind of person who would pick up a screwdriver and take things apart—from toys to televisions. I was curious about what was inside and how things worked. I enjoyed building rubber-band guns from chopsticks and modifying Mini 4WD cars. Around the same time, I was also introduced to programming with BASIC and began creating simple puzzle and shooting games of my own. Although video games weren’t allowed at home, learning on a PC was. Through these experiences, I discovered the joy of investigating on my own, through trial-and-error, to build things by hand.
In my undergraduate years, a chance opportunity led me to participate in a joint research project with Fujitsu. I worked on R&D for technologies to support safe driving, focusing on detecting driver drowsiness by collecting physiological data, such as heart rate, using sensors. I also took part in on-site field trials, collaborating with numerous participants to collect and analyze data, all with the aim of achieving highly accurate and practical technologies. Through this experience, I developed a strong desire to pursue applied research in industry and bring research outcomes to society as real products. This motivation ultimately led me to decide to join Fujitsu.
Adaptability forged through hands on experience
Throughout a long corporate career, my research themes often change, but the sensing and signal processing technologies I developed during my student years continue to play a vital role in my work to this day. One project I find particularly memorable was the R&D for an AI based gymnastics Judging support system using 3D sensing technology (*1). This system captures gymnasts’ movements during competitions and analyzes them as numerical data, enabling AI to automatically evaluate and judge routines. In addition to displaying the scoring results on screen, the system presents detailed numerical information—such as joint angles—tailored to situations where judges need to closely examine the precision of an athlete’s movements. This supports accurate and consistent judging based on a unified standard.
At the same time, real competition venues contain many sources of noise that cannot be fully anticipated through simulation alone, such as ceiling structures and reflections from lighting, which can degrade motion sensing accuracy. To ensure stable performance within limited timeframes under unknown environmental conditions, it was necessary to carefully fine tune the system. In addition, changes to sensor and camera placement required clear, thoughtful explanations and flexible responses to gain the understanding of stakeholders such as broadcasters and sports federations. Beyond the technical research itself, one of the most valuable takeaways from this project was learning the importance of making technology work through on site communication and persuasion. The moment when the system operated successfully at an actual competition—and the AI’s scores matched the judges’ correct evaluations—remains a deeply rewarding highlight of my work.
Bringing advanced sensing technology to underwater data measurement
After completing the development of the AI based gymnastics scoring system, I am now engaged in research on Ocean Digital Twin. This technology aims to recreate the conditions of the ocean in a digital space and, by predicting their changes, contribute to addressing societal challenges such as climate change, carbon neutrality, and biodiversity conservation (*2). Within this field, I am focused particularly on the development of automatic navigation control for underwater drones that enable stable data measurement even in rough sea conditions, as well as high precision sensing technologies that accurately capture the shape and distribution of underwater objects. As validation in real environments is essential, I undertook maritime safety training and physical conditioning to ensure underwater field experiments could be conducted safely. In practice, we have carried out wide area data collection using underwater drones in various marine regions across Japan—from Uwajima in Ehime Prefecture to sites as far north as Hokkaido and as far south as Okinawa—while repeatedly validating the technology in consideration of local environmental conditions. One of the outcomes of this work has been the establishment of a method to quantitatively evaluate the amount of CO₂ absorbed by seaweed and other blue carbon ecosystems. This achievement has also contributed to carbon credit certification (*3).
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A weekend joy that begins with fishing
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Unlocking new ways of working through new devices
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Messages from colleagues
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Titles, numerical values, and proper nouns in this document are those reported when this interview was made.













