Hadis Karimipour-Director
Dr. Hadis Karimipour is the Director of the Smart Cyber-Physical (SCPS) Lab, an Associate Professor and Chair in Secure and Reliable Networked Engineering Systems in the Department of Electrical and Software Engineering at the University of Calgary. 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 Cyber-Physical Grids
-
AI-enabled IoT/OT Security
-
Anomaly Detection in Critical Cyber-physical System
-
Machine Learning/Deep Learning
News
-
Aug.02-2021- Our paper “Generative Adversarial Network to Detect Unseen Internet of Things Malware” is published at Elsevier Ad Hoc Network Journal.
-
Jul. 28- 2021- Dr. Karimipour was selected as one of the "Canada's Top 20 Women in Cybersecurity" for 2021 by IT World Canada. https://www.itworldcanada.com/event/virtual/WICS-TV/?f5=no
-
Jul. 19-2021- Our first informational cybersecurity video is now posted! https://www.youtube.com/watch?v=Ysv57jbMt7k
-
Jul.13-2021- Our paper “Data Aggregation Mechanisms on the Internet of Things: A Systematic Literature Review" is published at Elsevier Internet of Things Journal.
-
June 25-2021- Our paper “Federated Learning for Drone Authentication" is published at Elsevier Ad Hoc Network Journal.
-
June 13-2021- Our paper “A Review on Virtual Power Plant for Energy Management" is published 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).
