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Fareha IjazFI
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Fareha Ijaz

@farehaijaz

Biomedical engineer developing a CNN pipeline at Bahria University to assess liver donor steatosis from pre-contrast CT.

Pakistan
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At Bahria University, I’m developing an automated deep learning pipeline to assess hepatic steatosis in potential liver donors from pre-contrast CT. The thesis uses retrospective CT data from Shifa Hospital and incorporates Liver Attenuation Index measurements.

I’ve trained and evaluated deep neural networks for breast cancer classification, and applied CNN-based models to generate reports from X-ray images. My work also includes exploring preprocessing workflows for converting DICOM studies to NIfTI volumes.

For my final-year biomedical engineering project, I designed and fabricated a 3D-printed omnidirectional soft actuator. It received 1st position in Soft Robotics at ROBOTECH 2024.

As a Lead Operations Engineer with Ops Team, I optimized workflows through data-driven process evaluations and worked with cross-departmental teams on procedures and regulatory submissions. Earlier, as a Service Engineer Intern at Shifa International Hospital and Pakistan Air Force Hospital, I supported medical equipment maintenance, repair, calibration, and testing.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Bahria University logoBU

Bahria University

MS, Artificial Intelligence

Pursuing an MS in Artificial Intelligence with coursework in advanced AI, machine learning, deep learning, NLP, and knowledge representation. Thesis focuses on an automated deep learning pipeline for hepatic steatosis classification in liver donor assessment.

Air University logoAU

Air University

BS, Biomedical Engineering

Completed a BS in Biomedical Engineering with electives in biomaterials, IoT, hospital information systems, medical robotics, power electronics, and medical imaging. Final year project involved a 3D-printed omnidirectional soft actuator for biomedical applications.

IG

Islamabad Model College for Girls (PG), G-10/4

FSc, Pre-Medical

Completed FSc Pre-Medical.

IG

Islamabad Model School for Girls, G-10/1

Matriculation, General

Completed Matriculation with Biology, Physics, Chemistry, and Mathematics.

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