About Me

I am a PhD researcher specializing in Deep Learning for Medical Imaging, with a passion for developing innovative AI solutions that bridge the gap between cutting-edge research and clinical applications. My work focuses on medical image segmentation, classification, and analysis, with a particular emphasis on improving diagnostic accuracy and efficiency in healthcare.

Research Focus

  • Deep learning architectures for medical image analysis
  • Efficient neural network design for resource-constrained environments
  • Interpretable AI for clinical decision support
  • Multi-modal medical image fusion and analysis

Education

PhD in Deep Learning for Medical Imaging

[University of Hyderabad], [2020] - [2025]

Thesis: "Advances in Deep Learning for Medical Image Segmentation and Classification"

MPhill. [Computer Science]

[Mewar University], [2018] - [2019]

Thesis: "Performance Comparision of Face Detection and Recognition Algorithms"

MCA [Computer Application]

[University of Kashmir], [2013] - [2016]

Dissertation: "SMS Intimation System for Online Leave Management."

BSc [Information Technology with Mathematics and Physics]

[University of Kashmir], [2010] - [2013]

Skills

Web Development

  • Next.js, React, TypeScript
  • Node.js, Express, MongoDB
  • Tailwind CSS, Headless UI
  • Authentication (NextAuth, JWT)
  • RESTful APIs, GraphQL

AI/ML & Research

  • Python, PyTorch, TensorFlow
  • Medical Imaging (DICOM, NIfTI)
  • Computer Vision & Deep Learning
  • Algorithm Development
  • Data Analysis & Visualization

Tools & Platforms

  • Git, GitHub, GitLab
  • Docker, Kubernetes
  • AWS, GCP, Vercel
  • CI/CD Pipelines
  • Agile/Scrum Methodologies
Profile Photo

Contact Information

mohsinfurkh@gmail.com

University of Hyderabad

Hyderabad, India