Area of research
Biomedical Engineering · Computer Vision and Pattern Recognition
Research interest
Research interests include Non-Invasive Vital Sign Monitoring, Context-Aware Activity Recognition Systems, EEG and Brain-Computer Interfaces, and Stroke Rehabilitation and Recovery.
BSAF: A blockchain-based secure access framework with privacy protection for cloud-device service collaborations
A novel and highly efficient botnet detection algorithm based on network traffic analysis of smart systems
StegoNet: Turn Deep Neural Network into a Stegomalware
Geometric Deep Learning for Shape Correspondence in Mass Customization by Three-Dimensional Printing
$\mathsf{LightChain}$: A Lightweight Blockchain System for Industrial Internet of Things
QoE-Driven Content-Centric Caching With Deep Reinforcement Learning in Edge-Enabled IoT
A Self-Calibrating Radar Sensor System for Measuring Vital Signs
Unobtrusive Sleep Stage Identification Using a Pressure-Sensitive Bed Sheet
Designing a Robust Activity Recognition Framework for Health and Exergaming Using Wearable Sensors
A dense pressure sensitive bedsheet design for unobtrusive sleep posture monitoring
Sleep posture analysis using a dense pressure sensitive bedsheet
REU Site: Frontier Technologies for Biometrics and Authentication
CyberTraining: Implementation: Small: Infrastructure Cybersecurity Curriculum Development and Training for Advanced Manufacturing Research Workforce
REU Site: Frontier Technologies for Biometrics and Authentication
IRES Track I: International Research Experience for Students on Assistive Technology for Aging and Disability
EAGER: SARE: Collaborative Research: Exploring and Mitigating Attacks of Millimeter-wave Radar Sensors in Autonomous Vehicles
SaTC: CORE: Small: Collaborative: Cardiac Password: Exploring a Non-Contact and Continuous Approach to Secure User Authentication
TWC SBE: Medium: Collaborative: Brain Hacking: Assessing Psychological and Computational Vulnerabilities in Brain-based Biometrics
EAGER: Cybermanufacturing: Software/Hardware Combined Acceleration for 3D Printing in Mass Customization
EAGER-DynamicData: Collaborative: Exploiting the Dynamically Architectural Configurability for Compressed Sensing
TWC SBE: Small: Collaborative: Brain Password: Exploring A Psychophysiological Approach for Secure User Authentication