Henri Aïdasso
Hi! I'm Henri Aïdasso, born and raised in Benin, a humble place that taught me the value of adaptability, efficiency, and hard work.
Over the past decade, I've studied across three continents and worked across a dozen organizations of all sizes: startups, government institutions, research centers, and global corporations.
I recently completed a PhD in Computer Engineering, with grade Excellent, at École de technologie supérieure (ÉTS), University of Quebec. During my PhD, I was also a Mitacs Accelerate Fellow at TELUS.
My research focuses on the reliability of multi-component automated systems, specifically anomaly detection and diagnosis in software and AI systems using efficient machine learning methods. My work bridges fundamental AI research with real-world impact.
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Latest News
Defended my PhD in Computer Engineering with grade Excellent at École de technologie supérieure (ÉTS), University of Quebec.
Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models accepted at FSE 2026 Industry Track.
Towards Open-Ended Discovery for Low-Resource NLP accepted at UncertaiNLP @ EMNLP 2025.
Presented Efficient Detection of Intermittent Job Failures Using Few-Shot Learning at ICSME 2025 in Auckland, New Zealand.
Awarded the Arbour Foundation Doctoral Scholarship ($30,000 CAD) for academic excellence, leadership, and social impact.
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