Biography
Shenghui (Samuel) Gu is a postdoctoral fellow at the School of Electrical Engineering and Computer Science (EECS), University of Ottawa, Ontario, Canada. He received the Ph.D. degree in software engineering from Nanjing University, China. His research interests are in software engineering, particularly in trustworthy AI, automated software testing and analysis, AIOps, software log analytics, DevOps, as well as empirical and evidence-based software engineering.
Interests
- Trustworthy AI
- Automated software testing and analysis
- AIOps
- Artificial Intelligence
- Software Log Analytics
- DevOps
Education
Ph.D. in Software Engineering, 2023
Nanjing University
B.Eng. in Software Engineering, 2017
Nanjing University
Recent Posts
Recent Publications
(2023).
How Do Developers' Profiles and Experiences Influence their Logging Practices? An Empirical Study of Industrial Practitioners.
In ICSE.
(2023).
TrinityRCL: Multi-Granular and Code-Level Root Cause Localization Using Multiple Types of Telemetry Data in Microservice Systems.
IEEE Transactions on Software Engineering, 49(5).
(2023).
系统日志评价方法、装置、设备及介质.
中华人民共和国国家知识产权局.
(2023).
Logging Practices in Software Engineering: A Systematic Mapping Study.
IEEE Transactions on Software Engineering, 49(2).
(2022).
根因定位方法、装置、设备.
中华人民共和国国家知识产权局.
Recent & Upcoming Talks
Experience
- Work on the topic of Trustworthy AI.
Backend Development Engineer Intern
- Led a three-person team to develop a log data valuation system utilizing deep learning and explainable artificial intelligence technologies.
- Validated the prototype on open-source datasets, providing the foundation for the team to save costs on log data storage and analysis.
- Acquired knowledge in machine learning, deep learning, and explainable artificial intelligence.
- Technical Skills: Python (PyTorch, NumPy, Pandas, Matplotlib, etc.), Linux tools, Git.
Backend Development Engineer Intern
- Led a three-person team to develop an anomaly root cause analysis system utilizing multiple monitoring data sources and deployed the system in a production environment.
- Built anomaly root cause analysis capabilities from scratch for the team at the company.
- Technical Skills: Java, TypeScript, HTML/CSS, Linux tools, Git.
Backend Development Engineer Intern
- Developed an AIOps platform including log analysis, JStack analysis, and operational knowledge base.
- Provided support for adding, deleting, and modifying columns in database tables for a distributed columnar database.
- Acquired knowledge of big data technologies, including distributed architecture and database principles.
- Technical Skills: Scala, Java, TypeScript, JavaScript, HTML/CSS, Linux tools, Git.
DevOps Engineer Intern
- Maintained a continuous integration platform.
- Acquired knowledge in DevOps, continuous integration/deployment.
Skills
Technical
Python (PyTorch, NumPy, Pandas, Matplotlib, etc.)
Java (Scala)
JavaScript (TypeScript)
HTML/CSS
SQL
Go
Linux
Shell (Bash/Zsh)
Git
Hobbies
Cats
Fitness
Games
Reading
Contact
- sgu2@uottawa.ca
- 800 King Edward Avenue, Ottawa, Ontario K1N 6N5
- SITE 4051
- Workday 10:00 to 17:00