• LINE
  • facebook
  • Youtube

TextSize

Language

TextSize

Language

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

Others

E-Mail address

Related links