Area of research
Computer Vision and Pattern Recognition · Cognitive Neuroscience
Research interest
Research interests include Medical Image Segmentation Techniques, EEG and Brain-Computer Interfaces, Advanced Neural Network Applications, and Remote Sensing in Agriculture.
Neural Decoding of Ultrasound-Modulated Pain States via Deep Learning: Insights from Functional Magnetic Resonance Imaging Data
Performance Investigation of ML Algorithms for Potato Blight Classification: The Role of Hyperparameter Tuning
Non-Invasive Dietary Monitoring of Liquid and Solid Intake in Older People using Throat EMG
Denoising: A Comparative Analysis of Classical, Wavelet, and Autoencoder Methods for Optimal Morphology Preservation
Automated Detection and Classification of Sleep Spindles using Machine Learning and Signal Processing Techniques
Modeling and Simulation of Lower Limb Rehabilitation Exoskeletons: A Comparative Analysis for Dynamic Model Validation and Optimal Approach Selection
Towards dental diagnostic systems: Synergizing wavelet transform with generative adversarial networks for enhanced image data fusion
Intelligent Control System for Brain-Controlled Mobile Robot Using Self-Learning Neuro-Fuzzy Approach
Development of a Multi-Functional Smart Helmet for Enhanced Rider Safety and Health Monitoring
Digital Twin for Advanced Automation of Future Smart Grid
Satellite Imagery-Based Cloud Classification Using Deep Learning
Design and Experimental Verification of a Laser Engraving Machine
fNIRS-BCI based classification of inversion and eversion ankle movements
Rehabilitative use of fNIRS controlled lower limb exoskeleton
Mechatronic Design of a Two Axis Solar Tracker System for Improved Efficiency
Non-Intrusive Load Monitoring of Buildings Using Spectral Clustering
Potential of Waste Cooking Oil Biodiesel as Renewable Fuel in Combustion Engines: A Review
Performance enhancement method for multiple license plate recognition in challenging environments
Feedback Control of Melt Pool Area in Selective Laser Melting Additive Manufacturing Process
Energy Efficient Parallel Configuration Based Six Degree of Freedom Machining Bed
Conventional and Deep Learning Methods for Skull Stripping in Brain MRI
Cyber-Attacks on Medical Implants: A Case Study of Cardiac Pacemaker Vulnerability