CAD for Brain Tumor Classification
We developed a customized deep learning based classification technique for automating 3,064 MRI Tumor images, resulting in a brain tumor diagnosis prediction accuracy of 98%.
I'm a First-year Computer Science PhD student at North Dakota State University. Previously, I completed MS from Fatima Jinnah University and B.S. in Computer Science fromCOMSATS University where I automated brain tumor MRI images through machine learning techniques. I love solving human problems using computer science and create solutions that improve efficiency
I am actively seeking a summer internship 2026, an academic or industrial setting focused on cutting-edge AI at the intersection of healthcare and agriculture.I am also deeply interested in computer vision and vision language models. Currently, I'm developing a vision language-based classification pipeline for immunofluorescent images of autoimmune patients.
📍 USA
Started PhD at North Dakota State University
3.90 GPA achieved
Here's a little about the projects that I worked on in the past.
We developed a customized deep learning based classification technique for automating 3,064 MRI Tumor images, resulting in a brain tumor diagnosis prediction accuracy of 98%.
Developed weed detection in agriculture using UAV imagery I've trained a model to accurately identify weeds in crop fields to help farmers reduce herbicide use, promote sustainability, and transform selective spraying through drones.
To empower young women in rural areas by addressing their career development needs I conducted user research through semi-structured surveys and interviews remotely with 18 young women in rural areas to understand their needs, challenges, and career aspirations. Currently building a platform to connect them and provide them career support.
Projects I've developed during various hackathon events.
A smart scheduling assistant designed to improve time management and productivity. Uses voice commands to schedule tasks and events.
Course Work: Machine learning & Neural Networks CGPA 4.0 , Data Science 4.0, Advanced Theory of Computation Advanced Operating Systems, Theory of Programming Languages, and Advanced Algorithm Analysis.
3.27/4.0 CGPA , Thesis Title: CAD for Brain Tumor Classification advised by Dr Sharif
Achievements