Research:
- Signal and image processing for biomedical applications
- Machine and deep learning applications
- Edge AI optimization
His current research interests are in the fields of Signal, and Image Processing for Medical Applications, Machine, and Deep Learning Applications, and Computational Genomics.
Current Research Projects:
-
Optimization of Edge Artificial Intelligence for Healthcare Applications
Past Research Projects:
- Weakly-Supervised Deep-Learning for Melanoma Diagnosis Using High-Resolution Whole Slide Images
- Deep Learning for Diabetic Retinopathy Screening and Staging
- Digital Signal Analysis for Autism/Opioid Electroencephalography
- Artificial Intelligence for Identification of Mild Cognitive Impairment Biomarkers in Parkinson's Disease
- Detection of Parkinson’s Disease Using Deep Learning Based Electroencephalography
His current research interests are in the fields of Signal, and Image Processing for Medical Applications, Machine, and Deep Learning Applications, and Edge Artificial Intelligence Optimization.