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Call for Papers
IJASE - International Journal of Applied Science and Engineering (Associate Editor)
Electronics - Artificial Intelligence Circuits and Systems (AICAS) (Editorial Board Member)
Special Issue - Advances of Artificial Intelligence and Vision Applications
Special Issue - Convolutional Neural Networks and Vision Applications, Volume III
IJARS - International Journal of Advanced Robotic Systems (Associate Editor)
Electronics - Artificial Intelligence Circuits and Systems (AICAS) (Editorial Board Member)
Special Issue - Advances of Artificial Intelligence and Vision Applications
Special Issue - Convolutional Neural Networks and Vision Applications, Volume III
IJARS - International Journal of Advanced Robotic Systems (Associate Editor)
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Current Projects
Robotic Vision Lab's current research focus is on building artificial intelligence systems and embedded vision sensors to solve real-world engineering problems. Below are three ongoing research projects in the Robotic Vision Lab. Please visit Robotic Vision Lab website for more details.
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The World's First Resettable 2-Factor Biometric Authentication
Are you tired of the inconvenient 2-factor SMS or authenticator APP-based authentication process? We are developing an artificial intelligence algorithm to provide secure and user-friendly biometric authentication. This algorithm analyzes user’s unique facial features and user-selected secret facial motions for concurrent 2-factor biometric authentication. Face the camera and smile, wink, make a grimace, or mouth a secret phrase. It verifies that you are a real person and authenticate your identity. Click here to learn how it works.
Artificial Intelligence for American Football Analytics
We are developing an artificial intelligence algorithm to automatically recognize play formation and track player movement in game footages to provide a tendency report that is important to gaining a competitive edge. This algorithm can minimize time-consuming manual processes also known as "tagging", reduce hours of film study, recognize, filter, and sort formations, plays, and player movements, compile a tendency report from multiple games or an entire season for scouting purposes of the opposing team, improve player training and game planning
Flare Flame Smoke Detection and Destruction and Removal Efficiency (DRE) Monitoring
Gas from oil extraction contains methane. We are developing an artificial intelligence algorithm to classify flare flames into high DRE, low DRE, and smoke to provide feedback to the control system to reduce pollution.