Invited Speaker

Distinguished professors from both academia and industry will be invited to give speeches.

Dr. Hadis Karimipour
School of Engineering, Engineering Systems and Computing Group
University of Guelph, Canada

Application of AI in Smart Grid Cyber Security Analysis


Abstract: The deployment of smart technologies in communication layer brings new challenges for online monitoring and control of the Cyber-Physical Systems (CPS). In addition to failure of physical infrastructure, CPS is also sensitive to cyber-attacks on its communication layer. Such systems have the potential to have a major impact on all aspects of our lives. Examples of CPS include smart grid, autonomous transportation systems, medical monitoring, process control systems, robotics systems, and automatic pilot avionics. The evolution of power systems toward the smart grids era increase the size and complexity of the power grids which makes wide-area monitoring of the power system state a challenging computational problem. In addition, smart grid comes with many cyber security concerns. As far back as 2002, 70% of energy companies experienced some kind of cyber-attack. Cyber-attacks are intelligently designed to bypass existing fault identification approaches. In case of a successful attack, a domino effect may follow which will result in irreparable damage in different parts of the system. Looking at the big picture, a nationwide effort to completely automate the grid is under way. The key to the success of this goal is an underlying system of data acquisition and data processing that will provide accurate and reliable data through dynamic state estimation (DSE) and proper control strategies. There are lots of discussions about the role of security-aware design and analysis in the development of modern CPS such as smart grid using advanced AI and machine learning techniques. Rapid advancement in AI technology enhances the scale, speed, and accuracy of the security in CPS. Various machine learning-based security assessment tools have been designed for CPS, which proves that AI is poised to revolutionize the way we monitor, control, manage, and respond to the emergency in critical CPS. .

Bio: Dr. Hadis Karimipour received the Ph.D. degree in Energy System from the Department of Electrical and Computer Engineering in the University of Alberta in Feb. 2016. Before joining the University of Guelph, she was a postdoctoral fellow in University of Calgary working on cyber security of the smart power grids. She is currently an Assistant Professor at the School of Engineering, Engineering Systems and Computing Group at the University of Guelph, Guelph, Ontario. Her research mainly focuses on monitoring and security of critical infrastructure including large scale control systems and smart grids. The overall objective of her research is to investigate and overcome the challenges associated with the security, real-time monitoring and control of the large scale systems and smart grids using data analytic and machine learning techniques. She is the member of IEEE, IEEE Computer Society, and Cyber Science Lab - A community of cybersecurity researchers. She serves as the Chair of the IEEE Women in Engineering (WIE) and Chapter Chair of IEEE Information Theory in Kitchener-Waterloo section..