About me
I am actively recruiting master’s and PhD students!
If you are interested in joining my lab, please apply by sending your CV (2 pages max) titled “RAL2025-Application” to my email address at j.wang@umanitoba.ca.
Please note, due to a high volume of inquiries, I will only respond to candidates of interest. I read all my emails, including those in the junk folder. If you do not receive a reply within two weeks, please assume there will be no further response.
I am an Assistant Professor in the Department of Mechanical Engineering at the University of Manitoba, where I direct the Robot Autonomy Lab. My research focuses on enhancing the safety and reliability of autonomous systems and mobile robotics. By integrating advanced machine learning techniques with traditional model-based robotic methodologies, I aim to develop advanced algorithms that ensure the operational safety of autonomous systems in unstructured and dynamic environments.
I received my PhD in Mechanical and Manufacturing Engineering, specializing in robotics control, from the University of Calgary. My doctoral research focused on the locomotion mode selection and motion planning of a leg-tracked quadrupedal robot. Prior to my current position, I was a Research Associate at Concordia University, working on unmanned aerial vehicles (UAVs) for wildfire detection and fighting. I also worked as a Research Associate at the University of Waterloo, developing a safe learning-based control framework for mixed-vehicle platooning control. Additionally, I served as a Postdoctoral Fellow at Queen’s University, proposing a high-performance path-following algorithm for ground mobile robots, and at the University of Calgary, developing robust multi-vehicle tracking algorithms for UAVs.
Throughout my career, I aim to push the boundaries of robotics and autonomous systems, leveraging the strengths of both machine learning and model-based control to address real-world challenges.
Recent News:
September 2024: I joined the Department of Mechanical Engineering at the University of Manitoba on September 1, 2024, as an Assistant Professor.
April 2024: Three papers focused on developing learning-based models for human-autonomous vehicle interaction to enhance safety in mixed-vehicle platooning control have been accepted. Watch the field experiment video at Field Experiment Data Collection for Human-Driven Vehicle Modeling.
