Hafiz Fahad

As an AI/ML Research Scientist, I specialize in developing advanced machine learning models for analyzing synchrotron-based computed tomography (CT) images. My work bridges cutting-edge AI techniques with high-resolution imaging to drive scientific discovery. I am also responsible for designing and implementing robust data management solutions to support scalable, efficient workflows and ensure data integrity across complex research projects.

Developing a Multi parametric optimization tool of MR Imaging for MR guided radiotherapy using AI

• Develop a learning based model of diffeomorphic image registration for MRI. • Implement a learning based model for multi-modality (e.g. MRI T1 - MRI T2 - CT) scans • Compare the results with existing deep learning and classical methods and got much better results

Worked on Wave to Weather project ( https://www.wavestoweather.de/ ) My responsibility to make and implement a hurricane model in C++ and visualization using Visualization Toolkit (VTK) Grid manipulation using Visualization Toolkit (VTK) of the data

• Worked as back-end developer in ilastik project (user-friendly software for image classification and segmentation) in python language • And as a front-end developer in the same project using QT

• Derive a recursive Sherman Morison formula to find the inverse of a sparse matrix • Implement on C++ using dealii library (useful to solve partial differential equations) • Compare the results with existing inverse methods and it clearly shows this methods solve the system of equations efficiently

Machine learning, Computer vision , Deep learning , object recognition and image understanding , Numerical analysis for ODE