Armstrong Foundjem
Date Joined
May 05, 2015
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Statement of Interest
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.
Bio
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 air transport industries. Thus, ensuring that learning algorithms operate under the intended environment. He is a mixed-method researcher in the intersection of software ecosystems sustainability, intersectionality, unconscious biases, underrepresentedness, and social network analysis of open-source communities. His research spans release engineering --- AI/ML/Dev-Ops, certifiability of deep learning models, software engineering for machine learning applications, natural language processing --- Large language models (LLM), human-centered design, human-computer interaction. He mines massive software repositories/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.
Affiliations
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ecole polytechnique de Montreal - From 2024-08-19 (Current)
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Unaffiliated - From 2015-01-07 (Current)
OpenStack Summit Presentations
OpenInfra Summit Vancouver 2023
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How large language and deep learning models can prevent toxicity such as unconscious biases from spreading in an online communities
Speaker Profile:
