How can the performance of planetary robotic vehicles be improved by a better understanding of the terrain they will encounter?
Krzysztof Skonieczny
- Canada Research Chair in Aerospace Robotics
- Associate Professor
- Department of Electrical and Computer Engineering
- planetary rovers
- robotics11
- vehicle-terrain interactions
- space robotics
- aerospace71
- robot mobility
- intelligent unmanned systems6
- UGVs (unmanned ground vehicles)2
- computer vision16
- rapid prototyping2
- advanced 3D printing techniques3
- machine learning53
- statistical inference8
- mechatronics6
- construction automation5
- soil mechanics5
- fluid mechanics15
- microgravity fluid mechanics3
- Space Concordia
- spacecraft and satellites8
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Tsz Ho Kwok
advanced 3D printing techniques, CAD/CAM, design automation
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Khashayar (Kash) Khorasani
control systems, cooperative control, nonlinear system control
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Nizar Bouguila
computer vision, data analytics, machine learning
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Youmin Zhang
intelligent unmanned systems, UAVs (drones), UGVs (unmanned ground vehicles)
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Chun-Yi Su
control systems, nonsmooth dynamic systems, smart actuators
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Hamid Taghavifar
connected autonomous vehicles (CAV), control systems, robotics
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Rastko Selmic
control systems, formation flight control, neural networks
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Jonathan Liscouët
aerospace, cyberphysical systems, reliability analysis
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Andrew Delong
machine learning, deep learning, genomics
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Wen Fang Xie
mechatronics, nonlinear system control, industrial robots
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Arash Mohammadi
signal processing, information systems security, cyberphysical systems
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Shahin Hashtrudi Zad
control systems, discrete event systems, biological systems
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Hassan Rivaz
bioimaging, ultrasound elastography, image processing
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Ashok Kaushal
rotor dynamics, vibration, CATIA
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Luis Rodrigues
aerospace, control systems, piecewise affine controllers
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Leila Kosseim
computational linguistics, natural language processing, artificial intelligence (AI)
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Wahid Ghaly
gas turbine engines, aerodynamic inverse shape design, computational fluid dynamics
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Rajamohan Ganesan
structural dynamics, composite laminates, vibration
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M. Omair Ahmad
signal processing, image processing, video signal processing
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Po-Han Chen
artificial intelligence (AI), computer vision, augmented reality (AR)
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Yang Wang
computer vision, machine learning, deep learning
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Charles Basenga Kiyanda
thermofluids, mathematical modeling, shock waves
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Yiming Xiao
bioimaging, biomedical engineering, image processing
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Ebenezer (Ekow) Essel
turbulence, experimental fluid dynamics, computational fluid dynamics
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Walter Lucia
cyberphysical systems, predictive control, fault-tolerant control
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Hany Gomaa
fluid mechanics, microfluidics, complex fluids
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Carole El Ayoubi
gas turbine engines, computational fluid dynamics, turbine design
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Mojtaba Kheiri
fluid-structure interactions, nonlinear aeroelasticity, kite power systems
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Jun Yan
smart grids, cyberphysical security, machine learning
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Serguei A. Mokhov
Forensic Lucid, formal methods, software engineering
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Amir G. Aghdam
adaptive control, decentralized large-scale systems, control systems
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Krzysztof Dzieciolowski
business analytics, data science, artificial intelligence (AI)
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Marius Paraschivoiu
computational fluid dynamics, hydrogen technology, wind energy
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Hoi Dick Ng
thermofluids, combustion, renewable energy
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Thomas G. Fevens
bioimaging, deep learning, computer vision
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Muthukumaran Packirisamy
micro/nano devices, microfabrication, MEMS/NEMS
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Suong Van Hoa
nanocomposites, industry 4.0, materials science
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Tien D. Bui
computer vision, biometrology, artificial intelligence (AI)
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Mamoun Medraj
materials characterization, thermodynamics of materials, metals
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Eugene Belilovsky
machine learning, deep learning, computer vision
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Georgios H. Vatistas
human physiology, liquid sloshing, vortex dynamics
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Ching Yee Suen
pattern recognition, handwriting, design of type fonts