Area of research
Biomedical Engineering · Cognitive Neuroscience
Research interest
Research interests include Muscle activation and electromyography studies, EEG and Brain-Computer Interfaces, Retinal Imaging and Analysis, and Blind Source Separation Techniques.
Refine XGBoost with SHAP explainability for non-invasive early detection of diabetic kidney disease: Estimated cardiac output as a potential indicator
Using Textural Analysis of Thermal Imaging to Predict Healing Status of Diabetes-Related Neuropathic Foot Ulcers: Protocol for a Co-Design and Longitudinal Study.
Integrating stakeholder perspectives in the co-design of medical device software to monitor Parkinson’s disease symptoms- A case-study
Integrating Stakeholder Perspectives in the Co-Design of Medical Device Software to monitor Parkinson’s Disease Symptoms- A Case-study
Detection of Mental Stress From Photoplethysmography for Under- Resourced Healthcare Systems
Facial Expression Analysis in Parkinsons’s Disease Using Machine Learning: A Review
Multiscale Graph Transformer for Brain Disorder Diagnosis
A pilot study for speech assessment to detect the severity of Parkinson's disease: An ensemble approach.
S2NN: Spectra-spiking neural network for energy-efficient wheat protein estimation using hyperspectral imaging
Poincaré Image Analysis of Short-Term Electrocardiogram for Detecting Atrial Fibrillation.
A pilot investigation of muscle conditioning as a tool to study neck proprioception and vestibular reweighting during head to trunk movement.
How photoplethysmography can be used to detect major depressive disorder among patients with obstructive sleep apnea during sleep.
Cardio Care: A Vision Transformer Cardiac Classification Based on Electrocardiogram Images and Signals
Hybrid Soft Computing Techniques for Machine Learning and Optimization
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor.
Facial expressions to identify post-stroke: A pilot study.
NeuroDiag: Software for Automated Diagnosis of Parkinson's Disease Using Handwriting.
The Effectiveness of Acoustic Voice Quality Index to Identify People With Parkinson’s Disease
Video Assessment to Detect Amyotrophic Lateral Sclerosis.
On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice.
Voice-Based SVM Model Reliability for Identifying Parkinson’s Disease
Tabular data augmentation for video-based detection of hypomimia in Parkinson's disease.
Multi-stage sleep classification using photoplethysmographic sensor.
Can Thermal Imaging Technique be Used to Predict the Healing Status of a Venous Leg Ulcer?
The trajectory for software-based medical devices.
The Change of Vocal Tract Length in People with Parkinson's Disease.
Impact of Biological Sex on Radar-Measured Heart Sound Quality.
Cross-Corpus Disparity of Parkinson's Voice Datasets Observed on Control Group Distribution
A Recovery-point Mechanism for Low-power Embedded ML Applications