Matsutani, Hiroki
マツタニ ヒロキ
Matsutani, Hiroki
Faculty of Science and Technology Department of Information and Computer Science/ProfessorBasic Information
Specialty
Computer Architecture, Machine Learning, Distributed Systems
Researcher Number
70611135
Paper Review Qualification
Thesis Guide Qualification in the Graduate School of Science and Technology : Master/Doctor
Biography
Researcher profile
Hiroki Matsutani received the BA, ME, and PhD degrees from Keio University in 2004, 2006, and 2008, respectively. From 2009 to 2010, he was a research fellow in the Graduate School of Information Science and Technology, The University of Tokyo, and awarded Research Fellowship of Japan Society for the Promotion of Science (JSPS) for Young Scientists (SPD). From 2011 to 2016, he was an assistant professor in the Department of Information and Computer Science, Keio University. From 2017 to 2022, he was an associate professor, and he is currently a professor in the same department. His research interests include the areas of computer architecture, machine learning, and big data processing.
Research experience
Keio University Faculty of Science and Technology Professor
Keio University Faculty of Science and Technology Associate Professor
Japan Society for the Promotion of Science Research Fellow DC1
Research
Reseach overview
Our research topics broadly cover computing infrastructures of various types and scales ranging from edge to cloud computing. Currently, we are working on on-device AI (Artificial Intelligence) and SLAM (Simultaneous Localization and Mapping) for resource-limited edge devices, in-network computing using network-attached FPGAs (Field-Programmable Gate Arrays) and GPUs (Graphics Processing Units), and highly-efficient accelerators for distributed machine learning and data processing.
Research Interests
- Computer architecture
- Machine learning
- Computer network
- Big data
Research areas
Computer system
Information network
Research theme
On-device learning