Individual Member Profile

Applying graphical neural networks to open-source communities to uncover social network phenomena and patterns of interest. Interested in ecosystem sustainability, AI and Machine learning, IoT, and BigData Analytics.

Dr. Armstrong Foundjem is a researcher with the DEEL project. He investigates the certifiability of safety-critical AI systems, with example applications in the healthcare and aviation industries. Thus, ensuring that learning algorithms operate under the intended environment. He is a mixed-methods researcher at the intersection of software ecosystem sustainability, intersectionality, unconscious biases, underrepresentation, and social network analysis of open-source communities. His research spans release engineering, including AI/ML/DevOps, the certifiability of deep learning models, software engineering for machine learning applications, natural language processing, large language models (LLMs), human-centered design, and human-computer interaction. He mines massive software repositories and datasets to uncover patterns and make informed decisions on various topics in empirical software engineering and edge/cloud computing. He also has skills in robotics and automation. -- Member of IEEE and ACM.

• ecole polytechnique de Montreal - From 2024-08-19 (Current)
• Unaffiliated - From 2015-01-07 (Current)

• AI Is Writing the Future: Deploying Intelligent Software Pipelines on OpenStack

• How large language and deep learning models can prevent toxicity such as unconscious biases from spreading in an online communities