Area of research
Computer Vision and Pattern Recognition · Transportation
Research interest
Research interests include Computer science, Hidden Markov model, SCADA, Computer security, Wearable computer, and Deep learning.
A Bayesian deep recommender system for uncertainty-aware online physician recommendation
Motion Sensor–Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach
Wearable Sensor-Based Chronic Condition Severity Assessment: An Adversarial Attention-Based Deep Multisource Multitask Learning Approach
Fall Detection with Wearable Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach
Identifying SCADA Systems and Their Vulnerabilities on the Internet of Things: A Text-Mining Approach
Hidden Markov Model-Based Fall Detection With Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring
Identifying SCADA vulnerabilities using passive and active vulnerability assessment techniques