Anas is a Machine Learning engineer at Castle Ridge. Anas’ prior academic research focused on various Artificial Intelligence approaches in fields such as mechanisms of action (MoA) prediction to advance drug development, machine vision and motion prediction. Anas earned his Ph.D. in Software Engineering from Western University, where he also earned a Master of Engineering Science. Previously, Anas received his Bachelor of Engineering in Computer Engineering from Beirut Arab University. His publications include the following:

• The Design of a Parkinson’s Tremor Predictor and Estimator Using a Hybrid Convolutional-Multilayer Perceptron Neural Network – 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
• Parkinson’s Tremor Onset Detection and Active Tremor Classification Using a Multilayer Perceptron – 2020 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)
• Real-Time Voluntary Motion Prediction and Parkinson’s Tremor Reduction using Deep Neural Networks – Under Review in IEEE Transactions of Neural Systems and Rehabilitation Engineering
• Design of user-independent hand gesture recognition using multilayer perceptron networks and sensor fusion techniques – 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR)
• A hybrid-based filtering approach for user authentication – 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)
• Innovative data authentication model- 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)