Pradipta Pal

Detail-oriented Biomedical Engineering postgraduate with experience in medical data analysis and research coordination. Demonstrated expertise in project tracking, data reporting, and managing structured datasets. Committed to enhancing clinical research operations and project coordination within a global CRO.

• Willing to relocate and work in dynamic R&D environments.
• Open to learning and applying cutting-edge technologies in biomedical research.

• Plant-Based Film from Moringa oleifera for Sustainable Triboelectric Nanogenerator Applications, current
• Real-Time Wound Segmentation and Tissue Composition Analysis using DFU Dataset, publishing in process, Developed an automatic deep learning-based segmentation model (U-Net) to identify and extract wound regions from real diabetic foot ulcer (DFU) images. Implemented a GUI system to analyze tissue composition (necrotic, slough, granulation, epithelial) based on texture and color features. Aimed at improving wound assessment for clinical decision-making and healing prognosis.
• Batch-Normalized Convolutional Neural Network For Alzheimer's Disease Classification Using Region Specific MRI Slices, publishing in process
• Saccharification of Sugarcane Bagasse and Aloe Vera Leaf Rind using a Novel Lignocellulose Compost-derived Consortium towards Biorefinery Applications, completed, Taylor & Francis, 08/12/25
• Sustainable Extraction Strategy for Lignin from Coconut Coir Using Organosolv and Deep Eutectic Solvents (DES), Springer, 10/07/24