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

Contact Information
mohsinfurkh@gmail.com
University of Hyderabad
Hyderabad, India