There are a lot of problems that ask "what order is the best for given items": scheduling multiple jobs and ranking search results are examples of such problems. I study methods to efficiently find good "permutations" (a mathematical term meaning "order of items") for several definitions of "goodness". I especially focus on "permutation decision diagram", which is a compact representation for permutations, to design efficient algorithms.
Q2. What are the advantages for you in studying at Hokkaido University?
First, I was born in Sapporo and love Sapporo; my favorite hometown makes me concentrate on my research.
In addition, my supervisor is a leader of his large-scale project, so he held a number of workshops and meeting in Hokkaido. Attending talks and interacting several researchers through the events are exciting for me.
Q3. What do you have in mind for your career/future?
Since there are still many future work for my research (this is the most important reason why I went on to doctoral course), I want to engage in these topics more. On the other hand, I recently consider about how I contribute to our society with my research and ability developed during my degree. While almost all of my research topics were in theory, I would like to challenge research to solve problems from needs of real world.
Q4. What would you like to tell prospective students?
Information science is a study extracting and modeling problems in the world from a mathematical and engineering point of view, and realizing efficient and comfortable world by solving the problems with computers, I think.
But "problems" discussed in information science are not only on computers and machinery, but also include other study areas and real life.
I believe that information science can be a basis of all study areas because it tries to find the mathematical ways how to solve problems and what kind of tools to use.
Thinking and thinking a problem deeply will be a most important experience in your student life that dramatically raises your ability and mentality, so I hope that you challenge research and problem solving, and feel a sense of achievement and satisfaction as an information scientist.
Large-Scale Knowledge Processing Lab
Doctor course 3rd year