Faculty - MATSUI Tohgoroh |

（Last updated : 2025-09-26 18:05:54）

MATSUI Tohgoroh

Department / Course

College of Life and Health Sciences Department of Clinical Engineering

Office for the Coordination of Clinical Practicums Center for Clinical Engineering Practicum Support

College of Engineering Department of Computer Science

Graduate School of Life and Health Sciences Department of Biomedical Sciences

Graduate School of Engineering Department of Computer Science

Job Professor

Education and Degrees
1997/04～2003/03	Doctoral Program (2nd Semester) Graduate School, Division of Engineering Nagoya Institute of Technology Finished Ph.D. in Engineering

Present specialized field
Artificial Intelligence, Data Mining, Machine Learning, Reinforcement Learning

Book and thesis
Papers	A Graph Drawing Algorithm Incorporating Vertex-mass for Visualizing Dynamic Social Networks,pp.109-118 (Co-authored) 2025/08/28
Papers	DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention Proceedings of the 17th Asian Conference on Computer Vision (ACCV 2024),pp.4455-4472 (Co-authored) 2024/12/12
Papers	Discarding Erroneous Knowledge Online in Transfer Reinforcement Learning Proceedings of the 25th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2024) 15395,pp.306-611 (Co-authored) 2024/11/21
Papers	Store Clustering Based on Product Genre Representation in POS Data 2024 IEEE 13th Global Conference on Consumer Electronics (IEEE GCCE 2024),pp.919-922 (Co-authored) 2024/10/31
Papers	Martial Arts Demonstration Evaluation System Using Machine Learning to Reflect the Actual Evaluation Methods of Instructors Proceedings of the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024) 246,pp.312-319 (Co-authored) 2024/09/11
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Lecturer and lecture
2017	The impact of Machine Intelligence on Investment Management, パネルディスカッション

Research topic, funded research, and department laboratory expense
2022/04 ～ 2025/03	A Fundamental Study on Reinforcement Learning for Combinatorial Optimization Based on Constraint Satisfaction Probabilities Grant-in-Aid for Scientific Research (C)
2011 ～ 2012	A Study on Reinforcement Learning for Analyzing Temporal Data in Finance Grant-in-Aid for Young Scientists (B)
2009 ～ 2010	A Study on Economic Information Extraction and Decision Support for Financial Market Analysis Grant-in-Aid for Scientific Research on Priority Areas
2006 ～ 2008	Fold prediction from protein of one-dimensional structure using inductive logic programming Grant-in-Aid for Scientific Research (C)

Winning science prize
2011	Japanese Society for Artificial Intelligence (JSAI) JSAI Incentive Award
2009	Japanese Society for Artificial Intelligence (JSAI) JSAI Incentive Award
2002	Information Processing Society of Japan IPSJ Tokai Section Student Award