Area of research
Computer Vision and Pattern Recognition · Computer Networks and Communications
Research interest
Research interests include Context-Aware Activity Recognition Systems, IoT and Edge/Fog Computing, Chaos-based Image/Signal Encryption, and User Authentication and Security Systems.
Correction: EgoVision: a YOLO-ViT hybrid for robust egocentric object recognition
SAPEx-D: A Comprehensive Dataset for Predictive Analytics in Personalized Education Using Machine Learning
EgoVision a YOLO-ViT hybrid for robust egocentric object recognition
A Human-Centered Approach to Academic Performance Prediction Using Personality Factors in Educational AI
Using 3D Hand Pose Data in Recognizing Human–Object Interaction and User Identification for Extended Reality Systems
A Novel Framework for Daily Life Activity and Context Recognition In-The-Wild Using Smartphone Inertial Sensors
Enhancing Recognition of Human–Object Interaction from Visual Data Using Egocentric Wearable Camera
Visual Question Answering Based on Object Detection and Recognition
Identification of Human Activity and Associated Context Using Smartphone Inertial Sensors in Unrestricted Environment
A novel approach for designing secure substitution boxes based on Catalan number and elliptic curve
A Framework for Daily Living Activity Recognition using Fusion of Smartphone Inertial Sensors Data
Motorbike Driving Activity Recognition Using Smartphone Motion Sensors
Using Smartphone Sensing for Recognition of Game Player Attributes During Gameplay
Assessment of Human Personality Traits Using Smartphone Sensing
A Novel Scheme for Designing Secure Substitution Boxes (S-Boxes) Based on Mobius Group and Finite Field
Daily Living Activity Recognition In-The-Wild: Modeling and Inferring Activity-Aware Human Contexts
An Effective S-box Construction Based on Linear Recurrences with Constant Co-Efficient