Hadis 2.JPG

Hadis Karimipour-Director

Dr. Hadis Karimipour is the director of the Smart Cyber-Physical (SCPS) Lab and an Assistant Professor in the School of Engineering at the University of Guelph. Her research mainly focuses on the application of Artificial Intelligent (AI) and machine learning on the Internet of Things (IoT) and critical infrastructure security.

​Her research interest includes:

  • AI-enabled Monitoring Solution for Smart Grids and Energy Systems

  • AI-enabled IoT/OT Security

  • Anomaly Detection in Critical Cyber-physical System

  • Machine Learning/Deep Learning

News

  • June 15-2021- Our paper “Federated Learning for Drone Authentication" is accepted for publication at  Elsevier Ad Hoc Network Journal.

  • June 3-2021- Our paper “A Review on Virtual Power Plant for Energy Management" is accepted for publication at  Elsevier Sustainable Energy Technologies and Assessments Journal.

  • May 29-2021- Our paper “Integration of Blockchain and Federated Learning for Internet of Things:  Recent Advances and Future Challenges" is accepted for publication at  Elsevier Computer & Security Journal.

  • April 27-2021- Our paper “Attack Identification and Localization in Smart Grids Using Ensemble and Representation Learning" is accepted for publication in Elsevier Physical Communication Journal.

  • March17-2021- Our paper “Towards Intelligent Anomaly Detection and Attribution in IoT-enabled Cyber-physical Grids" is accepted for publication at  IEEE Internet of Things Journal.

  • Feb.19-2021- Our paper “A Deep Neural Network Combined with Radial Basis Function for Abnormality Classification” is accepted for publication in Mobile Networks and Applications Journal.

  • Feb. 9-2021- Congratulation to Hossein on his successful MASc defence.

  • Jan. 15-2021- Our paper “Resilient Scheduling of Networked Microgrids Against Real-time Failures" is published in the IEEE Access Journal.

  • Nov. 19-2020- Congratulation to Abdul on his successful MASc. defence.

  • Oct. 12-2020- Our paper “An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids” is accepted at IEEE System, Men, Cybernetic (IEEE SMC 2020).

  • Sept. 23-2020- Our paper “A Multi-Kernel SVM and Meta-heuristic Feature Selection Approach for IoT Malware Threat Hunting” is published at  IEEE Internet of Things Journal.

  • Sept. 19-2020- Congratulation to Shamim on her successful PhD defence.

  • Sept. 1-2020- Our paper “A Hybrid Deep Learning-Based State Forecasting Method for Smart Power Grids” is accepted paper for presentation at IEEE System, Men, Cybernetic (IEEE SMC 2020).

  • Aug. 25-2020- Our article titled "Cyber intrusion detection by combined feature selection algorithm" is listed as one of the most cited articles in the Journal of Information Security and Applications Articles.

  • Aug. 20- Our paper “Real-time Stability Assessment in Smart Cyber-physical Grids: A Deep Learning Approach” is published at IET Smart Grid Journal.

  • Aug.18-2020- Our paper “Ensemble Sparse Representation-based Cyber Threat Hunting for Security of Smart Cities” is published at Elsevier Computers & Electrical Engineering Journal

  • Aug.10-2020- Our paper “Enabling Drones in the Internet of Things with Decentralized Blockchain-based Security” is published at IEEE Internet of Things Journal.

  • July 23-2020- Our book on “Security of Cyber-Physical Systems: Vulnerability and Impact” is published at Springer, Cham.

Lab Members

Ibrahim Al-Omari-MASc-W19-Present (UoG)

Hammed H. Pajouh-PhD-W19-Present (UoG)

Co-supervisor

Hussein M. Ruzbahani-PhD-F19-Present

(UoG)

Shahrzad H.Parast-PhD-F19-Present

(UoG)

Amir N. Jahromi-PhD-W20-Present (UoG)

Swaminathan S. Raman-MEng-W20-Present (UoG)

Abbas Yazdinejad-PhD-W21-Present (UoG)

Co-supervisor

Akram Kalaee,

PhD-S20-Present

(IUST)

Co-supervisor

18-01444_Cyber-security.jpg

Join Us

Postdoctoral Fellowship Position


​in Intelligent Security Solutions for IoT-enabled Smart Grids

MASc/PhD Position (AI Stream)


Artificial Intelligence for Protecting Critical Infrastructure