Accelerating the Power of Data System
Graduate School of Media and Governance
Master's Program First Year
Program: Cyber Informatics(CI)
When I was in high school, I used to think that SFC was for eccentrics.
I started to teach myself programming, when I was a student at Keio Senior High School. Then, along with my friends, continued my studies at Faculty of Science and Technology,Keio University, while also working as an app engineer for a start-up company.
For my second year, I applied to transfer to SFC, because my friend had told me about SFC's unique approach, which involves very few compulsory subjects and a flexible curriculum.
Like many SFC students, I enjoy participating in activities off campus. My hope was that SFC would allow me to study information science and engineering more systematically than before. I've always preferred learning on my own through textbooks over in-class lessons. When I was in high school, I used to think that SFC was for eccentrics. Now, I know I'm one of them -- and it suits me perfectly.
Our goal is to realize large-scale automated driving and smart cities as soon as possible.
I'm currently using database technology to develop software for robots and automated driving. To create these programs, we've had to process huge amounts of data (4TB daily) sent to us from cameras and other sensors. While cloud technology has become a global standard, edge computing technology is needed for the high-speed processing of these vast amounts of data. Soon, we'll begin a joint industry-academia research process -- at the core of which is the database technology from Kawashima Lab.
As a first step in this research, we studied the application of database technology to typical robotic middleware to enable it to process a larger number of requests appropriately. We have found that this process can achieve significant performance increases compared to existing methods. This is the first time that database technology has been applied to robot middleware, and the research was presented at a top international conference in the field of robotics. (Yushi Ogiwara, Ayanori Yorozu, Akihisa Ohya, and Hideyuki Kawashima. Transactional Transform Library for ROS. IROS2022)
I've been reading books about information technology since high school. At SFC, I studied textbooks recommended by the Faculty of Science and Technology as well as other universities. Through lectures, I've kept myself informed on real-world applications and niche topics. The flexible curriculum has enabled me to deepen my understanding of database technology even further. Using Associate Professor Hideyuki Kawashima's connection, we were able to visit University of Tsukuba, Intelligent Robot Laboratory -- and borrow an actual robot to incorporate into our research.
Just as the smartphone platform has facilitated the development of a wide variety of applications, the development of a secure and efficient process for handling large amounts of data will accelerate technological innovation. Our goal is to continue our current research and realize large-scale automated driving in smart cities as soon as possible.
Introduction of Laboratory
Research Fields: Data Platform,Transaction, AI, Computer Science
Data is the source of knowledge and has enabled the visualization of black holes, the prediction of guerrilla heavy rain, and GPT.
Data companies such as GAMMA (Google, Apple, Microsoft, Meta, and Amazon) that provide such services have enormous wealth, and a data platform based on computer science is essential to the realization of such services.
We are pursuing cutting-edge research in this area in collaboration with numerous companies, research institutes, and universities, and have achieved world-class results, especially in the area of transaction processing.