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 vision17
- rapid prototyping2
- advanced 3D printing techniques3
- machine learning56
- statistical inference8
- mechatronics6
- construction automation5
- soil mechanics5
- fluid mechanics16
- microgravity fluid mechanics3
- Space Concordia
- spacecraft and satellites8
-
Tsz Ho Kwok
advanced 3D printing techniques, CAD/CAM, design automation
-
Youmin Zhang
intelligent unmanned systems, UAVs (drones), UGVs (unmanned ground vehicles)
-
Khashayar (Kash) Khorasani
control systems, cooperative control, nonlinear system control
-
Nizar Bouguila
computer vision, data analytics, machine learning
-
Chun-Yi Su
control systems, nonsmooth dynamic systems, smart actuators
-
Jonathan Liscouët
aerospace, cyberphysical systems, reliability analysis
-
Arash Mohammadi
signal processing, information systems security, cyberphysical systems
-
Hamid Taghavifar
connected autonomous vehicles (CAV), control systems, robotics
-
Andrew Delong
machine learning, deep learning, genomics
-
Wen Fang Xie
mechatronics, nonlinear system control, industrial robots
-
Rastko Selmic
control systems, formation flight control, neural networks
-
Shahin Hashtrudi Zad
control systems, discrete event systems, biological systems
-
Hassan Rivaz
bioimaging, ultrasound elastography, image processing
-
Ashok Kaushal
rotor dynamics, vibration, CATIA
-
Luis Rodrigues
aerospace, control systems, piecewise affine controllers
-
Leila Kosseim
computational linguistics, natural language processing, artificial intelligence (AI)
-
Wahid Ghaly
gas turbine engines, aerodynamic inverse shape design, computational fluid dynamics
-
Rajamohan Ganesan
structural dynamics, composite laminates, vibration
-
Mahdi S. Hosseini
deep learning, computer vision, computational pathology
-
Moussa Tembely
numerical simulation, multiphase flows, computational fluid dynamics
-
M. Omair Ahmad
signal processing, image processing, video signal processing
-
Po-Han Chen
artificial intelligence (AI), computer vision, augmented reality (AR)
-
Yang Wang
computer vision, machine learning, deep learning
-
Charles Basenga Kiyanda
thermofluids, mathematical modeling, shock waves
-
Yiming Xiao
bioimaging, biomedical engineering, image processing
-
Ebenezer (Ekow) Essel
turbulence, experimental fluid dynamics, computational fluid dynamics
-
Walter Lucia
cyberphysical systems, predictive control, fault-tolerant control
-
Hany Gomaa
fluid mechanics, microfluidics, complex fluids
-
Carole El Ayoubi
gas turbine engines, computational fluid dynamics, turbine design
-
Mojtaba Kheiri
fluid-structure interactions, nonlinear aeroelasticity, kite power systems
-
Jun Yan
smart grids, cyberphysical security, machine learning
-
Serguei A. Mokhov
Forensic Lucid, formal methods, software engineering
-
Amir G. Aghdam
adaptive control, decentralized large-scale systems, control systems
-
Krzysztof Dzieciolowski
business analytics, data science, artificial intelligence (AI)
-
Marius Paraschivoiu
computational fluid dynamics, hydrogen technology, wind energy
-
Hoi Dick Ng
thermofluids, combustion, renewable energy
-
Thomas G. Fevens
bioimaging, deep learning, computer vision
-
Muthukumaran Packirisamy
micro/nano devices, microfabrication, MEMS/NEMS
-
Suong Van Hoa
nanocomposites, industry 4.0, materials science
-
Tien D. Bui
computer vision, biometrology, artificial intelligence (AI)
-
Mamoun Medraj
materials characterization, thermodynamics of materials, metals
-
Eugene Belilovsky
machine learning, deep learning, computer vision
-
Georgios H. Vatistas
human physiology, liquid sloshing, vortex dynamics
-
Ching Yee Suen
pattern recognition, handwriting, design of type fonts
