“Let the future tell the truth, and evaluate each one according to his/her work and accomplishments.
The present is theirs; the future, for which I have really worked, is mine”
Nikola Tesla
Hadis Karimipour-Director
Dr. Hadis Karimipour is the director of 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. 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 cyber-physical systems using data analytics and machine learning techniques. She is a senior member of the IEEE and IEEE Computer Society. She serves as the Chair of the IEEE Women in Engineering (WIE) and Chapter Chair of the IEEE Information Theory in the Kitchener-Waterloo section. Her research interest includes:
- AI-enabled IoT Security
- Security of Critical Cyber-physical System
- Machine Learning/Deep Learning
- Smart Cyber-physical Grid Analysis and Security
Lab Members
Shamim Yousefi-PhD-F17-present
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Ibrahim Al-Omari-MASc-S18-Present
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Abdulrahman Al-Abassi-MASc.-F18-Present
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Hammed HaddadPajouh-PhD-W19-Present
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Hussein M. Ruzbahani-PhD-F19-present
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Shahrzad HadayeghParast-PhD-F19-Present
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Amir N. Jahromi-PhD-W20-Present
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Alumni
Jacob Sakhnini-MASc-F18-S20
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Deepkumar Patel-MEng.-F18-W20
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Palak Patel-MEng.-F18-W20
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Mohamed Faizal-MEng.-F18-W20
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Amir N. Jahromi, Visiting Researcher-S19-W20
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Farnaz Seyed Mozaffari-MEng.-S19-W20
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Wenyu Han-MEng-W18-S19
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Vraj Desai-Undergraduate Researcher-S18
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Sandra Geris-Undergraduate Researcher-W18-S18
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Amirreza Jafari- Researcher-S19-F19
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Sara Mohammadi-Researcher-W18-S18
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Shahrzad HadayeghParast-Researcher-S18-S19
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Jesus Castillo Cabello-Mitacs Intern-S19
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Farzad Darbandi-Researcher-S19-F19
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Join Us
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Available MASc and PHD Position
(AI Stream) Artificial Intelligence for Protecting Critical Infrastructure Although the digitalization of Critical Infrastructures (CI) through the Internet of Things (IoT) facilitates real-time monitoring and control of these systems, it presents an array of complex security and monitoring challenges to CI. The backbone of these facilities, including oil and gas, refinery, and smart grids, consists of an Industrial Control System (ICS). A cyber-attack/ fault on ICS will result in anomalous process/network behavior, which should be identified in a timely manner to prevent catastrophic damages.
This project is focused on building a multi-view Deep Learning (DL) anomaly detection model designed explicitly for threat hunting in ICS. For more information please visit Future Students page. |
Contact Information
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Address
Room 2409, Albert A. Thornbrough Building, University of Guelph, Guelph, ON, N1G 2W1 hkarimi@uoguelph.ca Phone +1 (519)824-4120-ext.52506 |
Albert A. Thornbrough Building
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