Gias Uddin, PhD

PhD, McGill University
MSc, Queen's University

Assistant Professor

Areas of Research

AI4SE: AI for Software Engineering
Combine Machine Learning (ML), Natural Language Processing (NLP), and Software Engineering (SE) techniques to automatically analyze and improve software dependability (e.g., software security vulnerability analysis and detection), reliability (e.g., program repair), and documentation (e.g., software review and insight summarization, produce better official software library documentation).
SE4AI: Software Engineering for Machine Learning Application
Improving the design, engineering, quality control, continuous integration, and maintenance of Machine Learning Software Application (MLSA) based on an incorporation of MLSA specific attributes into traditional software development life cycles (SDLC).

Supervising degrees

Electrical and Computer Engineering - Masters: Accepting Inquiries
Electrical and Computer Engineering - Doctoral: Accepting Inquiries

More information

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Web: https://giasuddin.ca/

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