One of the seminar classes I took as an undergraduate was on networking, and the other was on machine learning. This is where I learned that packet forwarding is at the core of networking. The research project to build the world's fastest router is, simply put, about applying machine learning to packet forwarding. I thought it would be interesting to apply the content of the seminars to my research, so I chose it as my research theme and am working with Professor Koizumi.

Professor Koizumi is easy to understand in class, and when I ask him questions, he answers me in a friendly manner. When it comes to research, the strongest impression is that he is precise. He doesn't just tell you what to do, but also gives you the facts about what is going wrong. When I wasn't doing so well in my research, Professor Koizumi told me that he didn't want students to work like research machines, and that he didn't want to show us everything we needed to do, but instead think about what we should do and work on it independently. He is a teacher who usually treats students in an unobtrusive manner, so it left a deep impression on me.

When I couldn't attend a make-up class because I had a prior arrangement, he held an individual make-up class for me. It was a one-on-one exercise, but he was very gentle and explained everything in detail from scratch until I understood, so it left an impression on me.

I think the Graduate School of Information Science and Technology offers a free environment where students can do what they want, when they want. They value students' autonomy, and we have an environment where we can do research when we want to and a support system of teachers. The other thing is that the building is clean and the laboratories are spacious. I think this is surprisingly important. I like clean labs because they motivate me to do research.

I am a network science major, and I am working on image processing using deep learning. I am currently doing joint research with a medical institution on temperature management using thermal images. I am actually visiting hospitals and handling valuable data. My main focus is body parts detection in premature infants, and eventually I would like to estimate the temperature of various detected parts.
I think the good thing about the field of information science is that it is so broad that you can become anything you want. The research area is vast - you can do medicine, sports, education, or finance, so I think that even high school students who have not yet decided what they want to do can find their own way. In everyday research, when I write a paper or present, my professors praise me and say things like, "You can submit this paper to a conference" or "You can submit to a journal", which builds my confidence and motivation to do so.