Research and Group

Resarch Theme: Resilience of Networked Control Systems

A Networked Control System (NCS) is a control system wherein the control loops are closed through a communication network. The defining feature of an NCS is that control and feedback signals are exchanged among the system's components in the form of information packages through a network. One of the emerging notions in designing NCSs is building the interdependencies between components in the network to ensure the safety, security, and resilience of the designed system to unexpected events, such as faults, failures, communication disturbances, delays, and even attacks. In this direction, my research primarily concerns the analysis of the robustness and resilience of network control systems to such events.

Interdependent Networks (Photo credit to Yurchanka Siarhei @ Shutterstock)

Research Group:

Borna Monazzah Moghaddam (postdoc), Research area: Adversarial threats on mobile manipulator agents
Nathaniel Mailhot (postdoc), Research area: Data-driven detection of critical transitions in multi-agent systems
Ailin Barzegar (postdoc), Research area: Attack diagnosis in multi-agent systems
Ali Karbasi (Ph.D. caandidate), Research area: Resilient control of traffic systems
Marwah Al Adhami (Ph.D. candidate), Research area: Resilient decision making in autonomous vehicles
Ruiming Zheng (Ph.D. candidate), Research area: secure distributed estimation and control for network coverage
Alireza Esfandbod (Ph.D. candidate), Thesis title: Agent-Based Model Predictive Vehicle Control, University of Waterloo.
Kwaku Richter (MASc student), Research area: Experiments in decentralized multi-agent system
Hassan Emamzadeh (MASc student), Research area: Behaviour-aware decision making in urban traffic systems

Former members and visitors:

Jatin Kumar (MASc), Research area: Data-driven estimation of wind speed
Mohammadreza Ghorbani (Ph.D., UWaterloo), Thesis title: Reliability of Vehicle Estimation Pathways.
Farid Mafi Shourestani (Ph.D. UWaterloo), Thesis title: Efficient Multi-Model Vehicle Control.
Ghadeer Shaaban (Visiting Ph.D.), Project title: Security analysis of vehicle control systems, visiting from the University of Grenoble, Alpes, France.
Kishita Pakhrani (MEng project), Project title: Deep Sea Learning; development of an image processing algorithm to infer fish sexual behavior in response to specific gene mutations.
Pranav Pawar (MEng project), Project title: Deep Sea Learning; development of an image processing algorithm to infer fish sexual behavior in response to specific gene mutations.
Grant Colwell (BSc thesis), Research area: Controllability of vehicle platoons
Keqi (Clement) Wu (Research intern, UWaterloo), Project: Intracellular Network Communication Analysis Among Beta Cells of the Pancreas.
Elia Furlanis (MASc student), A non-cooperative game framework for active learning of human driver's attention level with application to autonomous driving, KTH Royal Institute of Technology 2019.

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