- Universal PLS 6.150D 150W Laser Cutter, largest available on campus
- Formlabs Form 2 SLA 3D Printer
- Soldering Equipment and Fabrication Tools
- High-Powered Computers (GPU) for Machine Learning
Education and Employment Background
Prof. Gadsden completed a PhD in Mechanical Engineering at McMaster University in estimation theory and mechatronics systems. He then worked as a postdoctoral researcher at the Centre for Mechatronics and Hybrid Technology (Hamilton, Ontario, Canada), and as a Project Manager in the pharmaceutical industry (Apotex Inc., Toronto, Ontario). Before joining the University of Guelph in 2016, Gadsden was an Assistant Professor in the Department of Mechanical Engineering at the University of Maryland, Baltimore County, where he worked with NASA, the US Army Research Laboratory, US Department of Agriculture, National Institute of Standards and Technology, and the Maryland Department of the Environment. In January 2022, Gadsden joined McMaster University as an Associate Professor in the Department of Mechanical Engineering, he remains an Adjunct Professor in the School of Engineering at the University of Guelph.
Gadsden’s research includes a broad consideration of state and parameter estimation strategies, artificial intelligence, variable structure theory, control theory, fault detection and diagnosis, and cognitive systems. Members of the Gadsden’s Intelligent Control and Estimation (ICE) Laboratory are actively working in aerospace and space systems, agriculture, autonomous systems, chemical formulations, data science, green technology, and mechatronics and robotics. Gadsden’s current research interests are in three main areas:
- Artificial intelligence. The ICE team is working on developing autonomy in the area of cognitive systems; at the core of which is artificial intelligence.
- Advanced control systems and techniques. Gadsden and his team are targeting the development of new control methods that enable robustness to disturbances and uncertainties, while providing accurate and stable system control.
- State and parameter estimation theory. The ICE team is creating and testing novel estimation strategies that provide improved performance in the presence of system and measurement nonlinearities.
- University Research Excellence Award for the College of Engineering and Physical Sciences at the University of Guelph, 2019–2020
- University of Guelph Faculty Association Distinguished Professor Award for Excellence in Teaching in the College of Engineering and Physical Sciences, 2019
- Elected Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), 2019
- SPIE Rising Researcher award winner based on his work in intelligent estimation theory, 2019
- Elected Fellow of the American Society of Mechanical Engineers (ASME), 2018
- Ontario Early Researcher Award based on work in intelligent condition monitoring strategies, 2018
ICE team helps design first Moonlight tracking device with NASA
Awards and Honours