Li Yang
Associate Editor, IEEE Transactions On Network And Service Management (TNSM)
Oshawa, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolLi Yang is a tenure-track Assistant Professor at Ontario Tech University and an active AI and networking researcher blending machine learning, AutoML, and cybersecurity for 5G/6G and IoT systems. With a PhD from Western University, a postdoctoral stint in OC2 Lab, and over 15 first-author publications, his work focuses on time-series analytics, concept drift, adversarial ML, and model optimization with practical network traffic applications. He serves as an associate editor for IEEE TNSM and TII and maintains strong industry-facing impact—over 2,000 citations and 2,500+ GitHub stars—reflecting both academic rigor and widely used open-source contributions. A multi-award recipient for research excellence, he also mentors graduate students and retains ties to Western as an adjunct, signaling a collaborative academic network across Canada and beyond.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering - Software Engineering, 4.0/4.0 (92.5/100), 11 first-author publications, 1,000+ citations, Doctor of Philosophy - PhD, Electrical and Computer Engineering - Software Engineering, 4.0/4.0 (92.5/100), 11 first-author publications, 1,000+ citations at Western UniversityMaster of Applied Science - MASc, Engineering - Engineering Systems and Computing, 3.7/4.0, one journal paper publication, Master of Applied Science - MASc, Engineering - Engineering Systems and Computing, 3.7/4.0, one journal paper publication at University of Guelph
English, Chinese
Github Skills (80)
python10
feature-engineering10
hyperparameter-optimization10
deep-learning10
automl10
random-forest10
optimization10
hyperparameter-tuning10
computer-vision10
nlp10
neural-architecture-search10
catboost10
artificial-intelligence10
data-science10
kmeans10
Programming languages (3)
Github contributions (5)
Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation
Aug 2021 - Oct 2022
Contributions:30 commits, 21 pushes, 3 comments in 1 year 2 months
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Jul 2020 - Sep 2022
Implementation of many hyperparameter optimization/tuning methods for machine learning algorithms in Python (easy&clear)
Contributions:39 commits, 2 PRs, 29 pushes in 2 years 2 months
pythonhyperparametermachine-learning-algorithmsoptimizationhyperparameters
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