S. Andrew Gadsden

Headshot of Andrew Gadsden
Associate Professor
School of Engineering
Email: 
gadsden@uoguelph.ca
Phone number: 
519-824-4120 ext: 52431
Office: 
THRN 2411
Seeking academic or industry partnerships in the area(s) of: 
Companies/agencies in the aerospace, space, data science, defense, and automotive sectors.
Available positions for grads/undergrads/postdoctoral fellows: 
Yes

Instrumentation

  • Universal PLS 6.150D 150W Laser Cutter
  • Formlabs Form 2 SLA 3D Printer
  • Soldering Equipment and Fabrication Tools
  • High-Powered Computers (GPU) for Machine Learning
  • Capabilities
  • Largest laser cutter available on campus.

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.


Research Themes

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: 

  1. Artificial intelligence. The ICE team is working on developing autonomy in the area of cognitive systems; at the core of which is artificial intelligence.
  2. 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.
  3. 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.

Highlights

  • 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

Media Coverage

ICE team helps design first Moonlight tracking device with NASA

Awards and Honours