Antonio Prado is a PhD candidate at ROAR Lab. He received his Master of Science in Mechanical Engineering degree from Columbia University and his Bachelor of Science in Mechatronics Engineering from Monterrey Institute of Technology. Antonio worked in the Automotive Industry for 5 years doing FEA Analysis and collision avoidance research.
He is currently working on researching Machine Learning techniques for human motor classification with wearable devices. He is also developing Virtual Environments to create rehabilitation settings that keep the user engage and provide complex feedback information in a simple and understandable manner.
Antonio’s research interests include Machine Learning & Artificial Intelligence, wearable technology, Virtual Reality, and Robotic Exoskeletons.