IceLens
Full-Stack Hockey Rink Visualizer with AI Insights
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GazeTrack
Eye Tracking in the Browser
pilespacing.com
3D Helical Piling Spacing Calculator
Goldnest
Full Stack Finance App - Smart Budgets, Beautiful Insights
Calgary Housing Pricing Predictor
Big Data Pipeline & ML Modelling for Real Estate Forecasting
publications
Tracing Vulnerabilities in Maven: A Study of CVE lifecycles and Dependency Networks
Corey Yang-Smith and Ahmad Abdellatif
2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR 2025) Mining Challenge, Ottawa, ON, Canada
Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review
Corey Yang-Smith, Ronnie de Souza Santos, and Ahmad Abdellatif
1st International Workshop on Software Engineering for and with Trustworthy LLMs (LLMTrust 2026), co-located with FSE 2026, Montréal, Canada
talks
Introduction to Large Language Models
Published:
Invited introduction to large language models, presented to a graduate Generative AI for Software Engineering class and as a two-hour workshop for the Data Science and Machine Learning Club at the University of Calgary.
Recommended citation: Corey Yang-Smith. "Introduction to Large Language Models." Invited guest lecture, Generative AI for Software Engineering (graduate course), and two-hour workshop for the Data Science and Machine Learning Club, University of Calgary, Calgary, AB, Canada, February 13, 2025.
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Project Management in Industry
Published:
Invited undergraduate lecture on project management practices in industry, delivered at the University of Calgary.
Recommended citation: Corey Yang-Smith. "Project Management in Industry." Invited undergraduate lecture, University of Calgary, Calgary, AB, Canada, March 16, 2026.
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Evaluating and Improving the Quality of LLM-Generated Code
Published:
Co-presented a three-hour conference tutorial introducing an end-to-end pipeline for evaluating the maintainability, reliability, and security of LLM-generated code using static analysis, comparative baselines, agentic remediation, explainability, and bias-aware evaluation.
Recommended citation: Glaucia Melo, Jessica Pourleyli, Genevieve Caumartin, Corey Yang-Smith, Diego Costa, and Ahmad Abdellatif. "Evaluating and Improving the Quality of LLM-Generated Code." Three-hour conference tutorial, 34th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE 2026), Montréal, Canada, July 5, 2026. Companion paper DOI: 10.1145/3803437.3804900.
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From Chatbots to Multi-Agent Systems: Lessons from Building Agentic RAG in Production
Published:
Invited technical deep-dive at YYC DataCon 2026 on multi-agent design patterns, agentic RAG, and production lessons from building Oliver, an AI system for public procurement.
Recommended citation: Corey Yang-Smith. "From Chatbots to Multi-Agent Systems: Lessons from Building Agentic RAG in Production." Invited conference talk, YYC DataCon 2026, BMO Centre, Calgary, AB, Canada, September 11, 2026.
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