Hadis Karimipour

Dr. Hadis Karimipour



Canada Research Chair (Tier II) in Secure and Resilient Cyber-physical Systems

University of Calgary

Associate Professor

Schulich School of Engineering, Department of Electrical and Software Engineering

Schulish Chair in Secure and Reliable Networked Engineering Systems

University of Calgary

Contact information

For media enquiries, contact

Joe McFarland
Media Relations and Communications Specialist

Cell: +1.403.671.2710
Email: Joe.Mcfarland@ucalgary.ca

Preferred method of communication




PhD, Universality of Alberta, 2016


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


Areas of Research

Machine Learning and Its Applications

Machine Learning (ML) is a subset of Artificial Intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed.  The basic premise of ML is to build algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available.  ML can be used for anomaly detection, system monitoring, security analysis, load prediction, load forecasting, etc. in cyber-physical systems. 

Anomaly Detection in Smart CPSs

The deployment of smart technologies in the communication layer brings new challenges for online monitoring and control of the Cyber-Physical Systems (CPS). In addition to the failure of physical infrastructure, CPSs are also sensitive to different anomalies on their communication layer. AI is a popular technology that has the potential to be leveraged in different aspects of CPS monitoring including anomaly/failure detection. 

AI and IoT Monitoring/Security

Over the last decade, IoT platforms have been developed into a global giant that grabs every aspect of our daily lives. Because of easy accessibility and fast-growing demand for smart devices and networks, IoT is now facing more security challenges than ever before. AI-based methods can be used to identify various attacks at an early stage as well as providing defensive strategies. Moreover, AI seems to be promising in detecting new attacks using learning skills and handle them intelligently. 

Participation in university strategic initiatives


  • Top 40 Under 40, Avenue Magazine-Calgary. 2023
  • ASTech Award Inspiring Innovations in AI/ML Advancement, ASTech Award and Technology Alberta. 2023
  • Schulich School of Engineering Excellence Award in Mentoring, University of Calgary. 2023
  • IEEE Women in Communications Engineering (WICE) Early Achievement Award, IEEE Communication Society. 2022
  • APEGA Early Accomplishment Award, Association of Professional Engineers and Geoscientists of Alberta (APEGA). 2022
  • Most Inspiring Women in Cyber, IT Security Guru. 2022
  • Canada Research Chair (Tier II), Government of Canada. 2021
  • Canada's Top 20 Women in Cyber Security, IT World Canada. 2021
  • Queen Elizabeth II Graduate Scholarship, University of Alberta. 2015
  • Queen Elizabeth II Graduate Scholarship, University of Alberta. 2014