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Individual Speaker Profile

Armstrong Foundjem Back to Speakers Bureau

Date Joined: July 14, 2015
Country: Canada
Home Town: 5146550942
Zip Code: H2R1Z2
Registered for Upcoming Summit: No
  • Unaffiliated - From 2015-01-07 (Current)
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.

Areas Of Expertise
  • Swarm Robotics
  • cloud computing
  • Artificial Intelligence AI
  • Applied Machine Learning
  • Release Engineering DevOps




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,  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.

Presentations from previous and upcoming OpenInfra Summits:
OpenInfra Summit Vancouver 2023
  • How large language and deep learning models can prevent toxicity such as unconscious biases from spreading in an online communities

Willing to present via video conference: Yes
Willing to travel to any country: Yes
Fluent in
  • English
  • French

Contact Armstrong