• Conducted research in automating medical implant segmentation from 3D RA images using Python along with VMTK toolkit. • Collaborated within teams to contribute to larger projects, actively participating in meetings, idea sharing, and documenting.• Delivered presentation of the research at the International Computer Science and Engineering Conference (ICSEC) 2019, Qatar.Projects:• Computer Enabled Radiological Resource for Blood Flow Rates in Aneurysms using Lattice Boltzmann

Responsibilities:• Contributed to the implementation of 2 IRF funded projects on preterm delivery prediction using Deep Learning.• Conducted data extraction from Cerner Millenium Electronic Health Records Data which has data of ~98 M patients using SQL.• Executed feature engineering and statistical data analysis on 60,000 + records using python and visualized using R.• Authored 3 papers based on this research, which have already amassed 56 citations.Projects: Knowledge discovery in EHR predicting preterm delivery Knowledge discovery in EHR predicting adverse events during delivery

Responsibilities: • To provide creative ideas and solutions for video and image processing problems• Develop and implement algorithms using required tools like OpenCv (Visual C++, C#, Python), MATLAB etc.• Implement machine learning applications in Python- Keras framework with Theano backend.• Perform live testing.• Work with software and web development team to integrate image processing algorithms to a larger framework meeting different functionalities.• Attend meetings discussing the progress of the work and presenting demo.Projects: Client: Ministry of Interior- Traffic department, Qatar• Automating L- Parking Test using video processing solutions.• Automatically detecting driving violations during the test from live video input.(mainly included background subtraction, motion detection and shadow removal)• Designing a smart car with automatic lane detection and lane departure warning system for assisting in road test (mainly included template matching, Line detection, curve fitting etc).• Detecting vehicles from video (Machine Learning). • Driver Face and Eye detection (Machine Learning)• Face Detection and expression analysis for detecting malpractice during sign test (Included Dlib face detection and feature point analysis. Developed in Anaconda-Python)Client: Kahramaa , Qatar• Developed an interactive camera based kids game for an awareness exhibition (mainly included motion detection, color detection etc.).

Responsibilities:• Worked with a team of image processing engineers applying processing techniques.• Implementation of IEEE papers on image processing using MATLAB.• Provide training on Image Processing and MATLAB.• Attend Enquiries on projects.• Guiding candidates on implementing projects. • Report to the project leader about the progress of the work. • Prepared presentation on the working of the developed modules and the nature of blending with the other modules. • Participated in the discussion and planning of projects or assignments. • Making sure that client requirements have been satisfied, and documenting the software.Projects:• Directional People Counter Based on Head Tracking• Enhancing Image Quality in Computed Tomography• Data Embedding using Adaptive Pixel Pair Matching