Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
IceLens
Full-Stack Hockey Rink Visualizer with AI Insights
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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