conf.researchr.org / 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
2026
2025
MODELS
ICSE
- Author of Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-Practice within the Journal-first Papers-track
- Committee Member in Mentoring Pods within the Student Mentoring Workshop (SMeW)-track
- Co-chair in Posters within the Posters-track
- Posters Co-Chair in Organizing Committee
Mining Software Repositories
2024
MODELS
EDTconf
International Conference on Program Comprehension
2023
MODELS
- Committee Member in Program Committee within the Posters-track
- Author of Towards Understanding and Analyzing Rationale in Commit Messages using a Knowledge Graph Approach within the Posters-track
- Author of openCAESAR: Balancing Agility and Rigor in Model-Based Systems Engineering within the SAM Conference-track