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Teacher Information (Degree and Achievements)
Teacher Details
YAMANE Satoshi
YAMANE Satoshi
- Affiliation
- Faculty of Data Science Department of Data Science
- Job rank
- Special Mission Professor
- Position
Researcher Information
Area of expertise
Computer Software, Artificial Intelligence, Machine Learning, Basic Informatics Theory
Courses in charge
Informatics overview, algorithm theory, data handling, machine learning, information and occupation
Educational background
Graduated from Kyoto University in 1984
Acquired degree
Doctor of Engineering, Kyoto University
Affiliated Society
IEEE, the Society of Electronic Information and Communications, and the Society of Information Processing
Research Keywords
Software verification, machine learning, computer vision, time automaton, model inspection, time theory
Current research theme
1.Software verification
2.Machine learning
3.Image recognition
4.Embedded system design verification
Main research results and activities
[Thesis]
1.Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning
Shunya Kidera, Kosuke Shintani, Toi Tsuneda, Satoshi Yamane
IEEE Access February 2024
2.Enhanced Full Attention Generative Adversarial Networks.
Kaixu Chen, Satoshi Yamane
IEICE Trans. Inf. Syst. 106(5) 813-817 May 2023
Other 130 editions
[Academic Activities]
1.Vice Chairman, Foundation and Boundary Society of Electronic Information and Communications 2018
2.2027-2028 Chair of the Society of Electronic Information and Communications
Contracted results of scientific research expenses
1.Real-time software model inspection infrastructure research for embedded assembly programs with interrupts (C) 2021-04-01 – 2024-03-31 Representative
Research representatives of 6 other issues
Others (lectures, appearances, committee members, etc.)
1.Invited speech : 2017 IEEE 6th Global Conference on Consumer Electronics
Deductively verifying embedded software in the era of artificial intelligence = machine learning + software science
2.Tutorial Lecture: Embedded System Symposium 2007
Real-time system specification description and verification
Other 5 conference lectures
Classes and Seminars
My seminar
1.Research on artificial intelligence, especially machine learning, driving DX
2.Computer software that realizes DX, distributed systems
We will conduct the theory and practice of DX using the theory of artificial intelligence and computer software.


Social Activities
Response to SDGs