Shuvodip Biswas

Shuvodip Biswas
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  • Bachelor of Science
  • Lab Instructor at North South University

About

1
Publication
13
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Introduction
I am a passionate AI/ML researcher with expertise in deep learning, data analysis, and explainable AI techniques. With a background in developing innovative solutions in healthcare diagnostics and an educational foundation from North South University, I strive to bridge the gap between academia and industry through impactful research and problem-solving.
Skills and Expertise
Machine Learning
Classification
Supervised Learning
Image Processing
Unsupervised Learning
Feature Extraction
Advanced Machine Learning
Data Clustering
Current institution
North South University
North South University
  • Department of Electrical Engineering and Computer Science
  • Dhaka, Bangladesh
Current position
  • Lab Instructor

Publications

Publication (1)
Fig. 1. Integration of Explainable AI in the Case Study
Fig. 3. Model Architecture of VGG16 (top) and VGG19 (bottom)
Fig. 4. Training and Validation Accuracy Curves for VGG16 (Top) and...
Fig. 6. Visualizations of explainable AI techniques for brain MRI...
Fig. 7. Visualizations of explainable AI techniques for brain MRI...
How Explainable Are Black-Box Models in Brain Tumor Classification
Conference Paper
Full-text available
  • Dec 2024
Adopting AI models in the healthcare system is often impeded by concerns over the lack of transparency and interpretability. In our study, we address this challenge of black box nature and explain it through explainable AI (XAI) techniques— SHAP, GRAD-CAM, and LIME. We employed pre-trained VGG16 and VGG19, which are considered black box models, and...
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