Continuum Computing Trustworthiness Research Team

Team Outline

Continuum Computing Trustworthiness Research Team

We are conducting research on software science and technology to improve, evaluate, and certify the trustworthiness of continuum digital environments, with a particular focus on (1) continuum networks, (2) machine learning systems, and (3) software systems with uncertainty. CCTRT-fig-en.jpg

1. Trust management of continuum networks

Our first focus is to improve the trustworthiness of continuum networks. We develop methods for the trust management of networks, especially on network security management and operation.

2. Quality management of machine learning systems

Our second focus is on the quality of machine learning systems. We develop methods to improve and evaluate the implementations of machine learning algorithms, models, and systems from a software engineering perspective. We also develop the "Machine Learning Quality Management Guideline" to establish quality goals and development processes for products and services using machine learning.

3. Formal methods for software systems with uncertainty

Our third focus is to evaluate and certify the trustworthiness of software systems with uncertainty, such as cyber-physical systems. We develop formal methods for modeling and verifying software systems that deal with probabilistic events, physical environments, and so on. We also conduct foundational research on programming languages and interactive theorem provers.

Information

Recent Publications

2023-12

Diversity-aware fairness testing of machine learning classifiers through hashing-based sampling.
Zhenjiang Zhao, Takahisa Toda, Takashi Kitamura. Information and Software Technology, 2023.

2023-11

Experimenting with an Intrinsically-Typed Probabilistic Programming Language in Coq.
Ayumu Saito, Reynald Affeldt. 21st Asian Symposium on Programming Languages and Systems (APLAS'23), 2023.

2023-11

Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs.
Yusuke Kawamoto, Tetsuya Sato, Kohei Suenaga. Artificial Intelligence, 2023.

2023-09

Formalizing Statistical Causality via Modal Logic.
Yusuke Kawamoto, Tetsuya Sato, Kohei Suenaga. 18th European Conference on Logics in Artificial Intelligence (JELIA'23), 2023.

2023-08

Measure Construction by Extension in Dependent Type Theory with Application to Integration.
Reynald Affeldt, Cyril Cohen. Journal of Automated Reasoning, 2023.

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Researcher Profile

Reynald Affeldt
Chief senior researcher

Reynald Affeldt

Formal verification, programming languages
staff.aist.go.jp/reynald.affeldt/
Kouji Demachi
Guest researcher

Kouji Demachi

International standardization
Takashi Egawa
Guest researcher

Takashi Egawa

International standardization
Yoshihiro Imai
Technical Staff

Yoshihiro Imai

Yuuta Iwase
Research specialist

Yuuta Iwase

Data science, complex networks, data engineering
iwase.yuta at aist.go.jp
yuta-iwase.github.io
Kazuya Kawai
Guest researcher

Kazuya Kawai

International standardization
Yusuke Kawamoto
Senior researcher

Yusuke Kawamoto

Formal methods, probabilistic systems, information security
staff.aist.go.jp/yusuke.kawamoto/
Takashi Kitamura
Senior researcher

Takashi Kitamura

Software testing, formal methods, software engineering
staff.aist.go.jp/t.kitamura/
Koichi Konishi
DigiARC Principal Research Manager

Koichi Konishi

data security, software architecture
Maruyama Fumihiro
Guest researcher

Fumihiro Maruyama

International standardization
Kazumasa Miyake
Research specialist

Kazumasa Miyake

Security for AI/AI for Security, Machine Learning Quality Management, Network communication
miyake-kazumasa at aist.go.jp
Takao Nakagawa
Research specialist

Takao Nakagawa

Shin Nakajima
Guest researcher

Shin Nakajima

Software engineeringļ¼Œmachine learning quality, innovation management
researchmap.jp/nkjm/?lang=en
Takaaki Nanba
Research specialist

Takaaki Nanba

Ken'ichirou Narita
Research specialist

Ken'ichirou Narita

Yutaka Oiwa
Team leader

Yutaka Oiwa

Security, software architecture, network
staff.aist.go.jp/y.oiwa/index-en.html
Tamao Okamoto
Research specialist

Tamao Okamoto

Hiromitsu Takagi
Senior researcher

Hiromitsu Takagi

Akira Tanaka
Senior researcher

Akira Tanaka

Programming language, formal method, verification
staff.aist.go.jp/tanaka-akira/
Tetsuya Yamada
DigiARC Principal Research Manager

Tetsuya Yamada