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We have 76 Computer Science (control system) PhD Projects, Programmes & Scholarships

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Computer Science (control system) PhD Projects, Programmes & Scholarships

We have 76 Computer Science (control system) PhD Projects, Programmes & Scholarships

AI-based anti-cybercriminal Privacy Detection and Prevention through disciplining in Multi-modal Assistive Robotic Systems (MARS) in healthcare

Project Brief. AI is transforming how healthcare services are delivered and research has shown the potential benefits of using intelligent robots in health and well-being, e.g., supporting independent living, supporting individuals with autism and intellectual disability, and even in an assessment of cognitive skills. Read more

Control Theory for Security-Sensitive and Safety-Critical Networked Feedback System

In a world rapidly adopting intelligent systems, ensuring the safety of critical control systems has become paramount. From self-driving cars, surgical robots to high-precision temperature control of warehouses, any breach of safety constraints in these systems may lead to catastrophic consequences. Read more

Model Predictive Control for Autonomous Vehicles and Robots [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Model Predictive Control for Autonomous Vehicles and Robots

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Model Predictive Control for Autonomous Vehicles and Robots [Self Funded Students Only]

Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more

Optimization and control of nonlinear and partial differential equations.

A PhD position, fully funded by the National Science Foundation (NSF) is available in the Cybernetic Systems and Controls Lab (CSCL) in the Department of Mechanical and Aerospace Engineering at Arizona State University in Tempe, AZ. Read more

Agent-based cyber-physical production systems for Industry 4.0

  Research Group: Applied Computing
This project aims to develop novel methods and software tools for the implementation of highly adaptive multi-agent systems for manufacturing control, applying plug-and-produce technology to cyber-physical systems. Read more

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