Li Yang
Assistant Professor
Faculty of Business and Information Technology
Oshawa, Canada
Emails: li.yang@ontariotechu.ca and liyanghart@gmail.com
GitHub | Google Scholar | LinkedIn | ResearchGate | University Page
Welcome to my website!
My research spans several areas, including:
cybersecurity, intrusion detection, anomaly detection;
machine learning, deep learning, AutoML, model optimization;
network data analytics, network automation for 6G, Internet of Things (IoT);
concept drift, online learning, continual learning;
and adversarial machine learning (AI security).
I joined Ontario Tech University in January 2024. Before that, I obtained my Ph.D. in 2022, from Western University, under the supervision of Prof. Abdallah Shami.
I will start recruiting MSc and PhD students later. More details about our MSc and Ph.D. programs can be found at the following links: MSc in Computer Science | PhD in Computer Science
News
Mar. 2024 Our papers were the most cited research items from our department on Researchgate in Feb 2024.
Mar. 2024 Our paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" is published in IEEE Transactions on Network and Service Management (IF: 5.3).
Feb. 2024 Our paper "Zero-Touch Networks: Towards Next-Generation Network Automation" is published in Computer Networks (IF: 5.6), Elsevier.
Jan. 2024 Our papers received more than 2,000 Google Scholar citations
Jan. 2024 Joined the Faculty of Business and Information Technology at Ontario Tech University as a Tenure-Track Assistant Professor
Jan. 2024 Our paper "Enhancing Network Intrusion Detection: An AutoML Pipeline with Efficient Digital Twin Synchronization" is available on TechRxiv
Dec. 2023 Served as the Workshop Chair (Workshop 20) of the SMC-IoT 2023 conference
Dec. 2023 Received the Outstanding Volunteer Award, issued by IEEE London Section
Dec. 2023 Our paper "Zero-Touch Networks: Towards Next-Generation Network Automation" is available on arXiv
Aug. 2023 Our paper "Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks" is available on TechRxiv
Aug. 2023 Our paper "Diving Into Zero-Touch Network Security: Use-Case Driven Analysis" is available on TechRxiv
Aug. 2023 Our GitHub code repositories have received more than 2,000 GitHub stars
Jul. 2023 Our paper "Forensic Data Analytics for Anomaly Detection in Evolving Networks" is published as a book chapter in Innovations in Digital Forensics, World Scientific.
May. 2023 Served as the Chair and Judge of the Annual Graduate Symposium in the ECE department at Western University
Apr. 2023 Accepted as the Technical Program Committee (TMC) member of IEEE GlobeCom 2023 (MWN and CISS Symposiums)
Feb. 2023 Our paper "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" is published in IEEE Transactions on Industrial Informatics (IF: 12.3)
Jan. 2023 Our papers received more than 1,000 Google Scholar citations
Jan. 2023 Taught the course ECE 9039 - 002 "Machine Learning: From Theory to Applications" as a Limited-Term Assistant Professor
Nov. 2022 Our paper "IDS-ML: An open source code for Intrusion Detection System development using Machine Learning" is published in Software Impacts.
Nov. 2022 Our paper "IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective" is published in Engineering Applications of Artificial Intelligence (IF: 8.0).
Oct. 2022 Started serving as the Vice Chair of the Computer & SMC Chapter in the IEEE London Section
Sep. 2022 Joined the OC2 Lab at Western University as a Postdoc Associate
Sep. 2022 Received the Award for Outstanding Self-financed Students Abroad, which recognized Li as one of the top 650 most outstanding young talents among more than half a million Chinese international students every year
Aug. 2022 Our paper "LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicle" is selected by the Reddit Machine Learning Community as one of the Top-10 Most Popular AI Research in the world in Aug 2022.
Aug. 2022 Our paper "LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicle" is accepted by IEEE GlobeCom 2022.
May. 2022 Our paper "A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles" is published in IEEE ICC 2022.
May. 2022 Received the Graduate Symposium Award for Best Presentation, issued by the ECE department, Western University
Apr. 2022 Received the Graduate Student Award for Excellence in Research, issued by the ECE department, Western University
Mar. 2022 Our paper "Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection" is published in IEEE Transactions on Network and Service Management (IF: 5.3)
Jan. 2022 Our paper "MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles" is published in IEEE IoT Journal (IF: 10.6)
Dec. 2021 Our paper "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" is published in IEEE GlobeCom 2021
Dec. 2021 Our paper "Concept Drift Detection in Federated Networked Systems" is published in IEEE GlobeCom 2021
May. 2021 Received the Mitacs Accelerate Fellowship from the OC2 Lab at Western University
May. 2021 Our paper "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" is published in IEEE IoT Magazine
Nov. 2020 Our paper "On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice" is published in Neurocomputing (IF: 6.0)
Oct. 2020 Received the Industrial Research Excellence Award, issued by the OC2 Lab at Western University
Oct. 2020 Received the Research Excellence Award, issued by the OC2 Lab at Western University
Aug. 2020 Served as the Session Chair of Technical Sessions in IEEE CCECE 2020
Dec. 2019 Our paper "Tree-based Intelligent Intrusion Detection System in Internet of Vehicles" is published in IEEE GlobeCom 2019
Nov. 2018 Our paper "Image-Based Visibility Estimation Algorithm for Intelligent Transportation Systems" is published in IEEE Access (IF: 3.9)