MODELS 2025 (series) / Bentley Oakes
Registered user since Tue 12 Oct 2021
Name:Bentley Oakes
Bio:
My research focuses on enabling domain experts to efficiently capture and utilise their knowledge to build software systems (including digital twins) through a model-driven approach. The goal is to minimise the cognitive and time effort for constructing these systems, while still maximising the insights gained during the engineering process. Please see more on my website or expertise page.
Country:Canada
Affiliation:Polytechnique Montréal
Personal website: https://bentleyjoakes.github.io/
Research interests:Digital Twins, Model-Driven Engineering, Knowledge Representation Formal Verification, Machine Learning
Contributions
2025
MODELS
- DTChecker: A Real-Time Signal Monitoring and Property Specification Tool for Digital Twins
- Model-Based Systems Engineering Perspectives: A Survey of Practitioner Experiences and Challenges
- DTInsight: A Tool for Explicit, Interactive, and Continuous Digital Twin Reporting
- Student Volunteers Co-Chair in Organizing Committee
- PC Member in Program Committee within the Research Papers-track
- Co-chair in Student Volunteers Chair within the Student Volunteers-track
Using general profile