AI Research & Engineering Publications

Research Projects by Mohitrajsinh Jadeja · Marwadi University
Medical Imaging · Computer Vision

Brain Tumor Detection via Deep Convolutional Neural Networks

Author: Mohitrajsinh Jadeja · Marwadi University · 2024
Abstract: An AI-driven medical imaging system for detecting and classifying brain tumors in MRI scans using deep convolutional neural networks (ResNet50 architecture) paired with explainable visual heatmaps to assist radiologists during diagnostic evaluations.

METHODOLOGY & APPROACH:

Trained ResNet50 transfer learning models on multi-modal MRI brain datasets with data augmentation and Grad-CAM explainability heatmaps for model interpretability.

  • CNN
  • ResNet50
  • TensorFlow
  • OpenCV
  • Grad-CAM
  • Python
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Graph Neural Networks · Network Analysis

Social Network Analysis & Graph Pattern Intelligence

Author: Mohitrajsinh Jadeja · Marwadi University · 2024
Abstract: Graph algorithmic research analyzing large-scale network structures, community detection, centrality metrics, and node embeddings for intelligent social graph intelligence.

METHODOLOGY & APPROACH:

Applied graph centrality algorithms, modularity optimization, and node embedding representations to detect communities and key influencers across sparse graph datasets.

  • Python
  • NetworkX
  • Graph Mining
  • Machine Learning
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Predictive ML · Intelligent Automation

Caller ID Intelligence & Automated Telemetry Analytics

Author: Mohitrajsinh Jadeja · Marwadi University · 2024
Abstract: Pattern recognition framework for processing call metadata to identify spam risk patterns, caller credibility scoring, and anomaly detection.

METHODOLOGY & APPROACH:

Feature engineering on call frequency, duration, and node interaction history using supervised classification models.

  • Python
  • Scikit-learn
  • Data Mining
  • Machine Learning
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Computer Vision · HealthTech

BioHub Cell Tracking & Automated Microscopy Analytics

Author: Mohitrajsinh Jadeja · Marwadi University · 2024
Abstract: Computer vision framework for automated cellular segmentation and object tracking in biological microscopic video sequences.

METHODOLOGY & APPROACH:

Optical flow algorithms and object segmentation models for tracking cell migration and morphology shifts.

  • OpenCV
  • PyTorch
  • Computer Vision
  • Python
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