Master's Students

With over 2 years of experience in product design, development, and MR scanning optimization, I bring expertise in IoT technologies and compliance with global standards, and advanced imaging techniques.

Thesis work - Development of Isotropic Diffusion-Weighted Imaging for Clinical Application 

🔅 Designing and optimizing isotropic diffusion-weighted imaging sequences to improve diagnostic accuracy in fetal, overcoming motion artifacts, and enhancing resolution through innovative gradient waveforms. 

I am a Biomedical Engineer with experience in developing AI-driven solutions for medical imaging, diagnostics, and digital health. I have contributed to research in areas such as dermatological disease classification, segmentation problems, and health chat bots. I am passionate about building technology that enhances clinical decision-making and improves patient care.

Thesis work - AI based Anthropometric measurement from breast MRI images.

🔅 Breast anatomy varies significantly across individuals, posing challenges for standardized MRI coil design. Manufacturers often lack precise anatomical measurements, impacting imaging quality and comfort. Using deep learning-based segmentation, generating accurate statistical measurements to guide coil optimization. 

I analyze Cerebrospinal Fluid (CSF) motion using engineering approaches to decode its role in brain health. My research includes medical imaging (MRI) supported by my ECE foundation in hardware/software systems.