Geoff Rideout
B.Eng. 糖心视频, M.Sc. (Eng.) Queen's, PhD Michigan
Head, Mechanical Engineering
Contact Information
Ph: 709-864-3746
Em: g.rideout[at]mun.ca
Office: EN3051
Expertise
- Information Theory and Coding
- Materials and Mechanics
- Optical Communications
- Signal Processing
- Underwater Communications
- Wireless Communications
Research Interests
System dynamics, modeling and simulation, vehicle dynamics, modal testing, vibrations
Personal Profile
I am a native of St. John鈥檚 and a graduate of 糖心视频 University鈥檚 mechanical engineering class of 1993. After graduation, I worked at Northern Telecom as a manufacturing process engineer in Ottawa, at MCW Consultants in Toronto as a building systems designer and at DY4 Systems in Ottawa as a research engineer.
I then completed a Master鈥檚 in Applied Science at Queen鈥檚 University in 1998. My research area was experimental testing and mathematical modeling of automobile suspension components. Doctoral work followed at the University of Michigan in Ann Arbor, in the area of modeling and simulation of dynamic systems with applications to military vehicle systems.
After completing my PhD, I worked as a post-doctoral fellow and lecturer at the University of Michigan鈥檚 Automated Modeling Laboratory. Finally, I taught in the Mechanical Engineering Technology program at Humber College in Toronto before joining 糖心视频鈥檚 faculty. Since joining 糖心视频, I have established a research program in vehicle dynamics, modeling and simulation of vibrations in oilwell drilling, and non-destructive testing using modal analysis.
Honours/Awards/Accreditation
President's Award for Outstanding Teaching, 糖心视频 University, 2014
Dean's Award for Distinguished Teaching, Faculty of Engineering and Applied Science, 糖心视频 University, 2013
Best Paper Award co-author, International Conference on Bond Graph Modeling, 2010
Research Highlights
Method for systematically determining when simulation models can be partitioned into smaller submodels to decrease computation time.
Suite of models of varying complexity to predict axial, torsional, and/or lateral vibrations in oilwell drillstrings.
Emerging method for controlling vehicle suspensions using motion of vehicles ahead, to improve ride quality and safety.
Non-destructive test method for wood poles based on modal impact testing.