I am passionate about multiple aspects of medical imaging, including classification,
segmentation, registration, and landmark identification. My enthusiasm for these fields drives
my desire to collaborate on innovative healthcare technology projects. Specifically, I am
interested in AI-driven diagnostics, telemedicine solutions, and patient data analysis. I
believe that advancements in these areas have the potential to revolutionize healthcare,
improving patient outcomes and enhancing the efficiency of medical services.
I am excited about the opportunities to continue developing my skills and knowledge in medical
imaging. By contributing to cutting-edge research and collaborating on impactful projects, I aim
to make meaningful contributions to the healthcare industry. My goal is to be at the forefront
of technological advancements that can transform medical practices and improve patient care
worldwide.
National Institute of Health and
Medical Research (INSERM)-France
Master Thesis
Earned 30 ECTS in 4th Semester
University of
Girona (UdG)-Spain
Master of Science in Medical Imaging and
Applications
Earned 30 ECTS in 3rd Semester
University of
Cassino (UNICAS)-Italy
Master of Science in Computer
Engineering
Earned 30 ECTS in 2nd Semester
University of
Burgundy (UB)-France
Master of Science in Computer Vision
Earned 30 ECTS in 1st Semester
Swiss Federal Institute of
Technology
Zurich (ETH Zurich), Switzerland
University of Zurich,
Switzerland
University Hospital Zurich,
Switzerland
Paul Scherrer Institut (PSI), Switzerland
Earned 4 ECTS
University of Cassino and Southern Lazio (UNICAS)-Italy
College of Intelligence and
Computing,
Tianjin University-China
Engineering Master Degree of Software Engineering
IBCS-PRIMAX Software (Bangladesh) Ltd., Bangladesh
BASIS Institute of Technology & Management (BITM), Bangladesh
Bangladesh University (BU)- Bangladesh Earned 140 ECTS
Developed a deep learning pipeline for automated segmentation of
high-resolution 3D histological mouse brain images, enhancing the understanding of genetic impacts
on brain structure.
Details
Utilizing the ISIC
dataset, it addresses binary and multiclass classification challenges through data preprocessing,
augmentation,
and neural networks like InceptionNet and EfficientNet.
Details [update as soon as possible]
This
research contributes to enhancing medical imaging practices in managing COPD, based on data from the
COPDgene study.
Details [update as soon as possible]
HIMS software includes electronic health records, Service modules,
administrative modules, and financial management.
Details
HIMS software includes electronic health records, Service modules,
administrative modules, and financial management.
Details
HIMS software includes electronic health records, Service modules,
administrative modules, and financial management.
Details
Participate in specialized datathons, hackathons, classification challenge and contests to sharpen coding skills.