Fakrul Islam Tushar

I am Fakrul Islam Tushar, a 4th-year Ph.D. candidate at Duke University’s ECE Department and a Research Associate at the Center for Virtual Imaging Trials (CVIT). My research focuses on AI-driven multimodal medical imaging and digital twin technologies, aiming to advance personalized healthcare.

I hold an Erasmus+ Master’s degree in Medical Imaging (MAIa, having studied across Spain, Italy, and France, and have contributed to impactful research at Duke’s RAI Labs. I completed my B.Sc. in Electrical Engineering from AIUB, graduating with Cum Laude honors.

Throughout my academic journey, I have been fortunate to receive Erasmus+ and Duke University grants, along with the AIUB Dean’s Award. Beyond academics, I have been actively involved with organizations like IEEE, Teach For Bangladesh, and Literacy Through Leadership. My work on lung cancer screening using AI-driven virtual imaging trials has been recognized with several awards, including the Best Poster Award at the Virtual Imaging Trials in Medicine 2024 and a Travel Award at the SPIE Medical Imaging Conference 2024.

Open Source and Outreach Activities

I openly share most of the code developed during my research on GitHub. Explore my repository and additional resources below:

• Virtual Lungs Screening Trials: VLST
• Duke Lung Nodule Dataset 2024: Zenodo
• AI in Lung Health Benchmark: GitHub
• In Silico Case-study: ReviCOVID
• National Lungs Screening Trial’s (NLST) 1000+ 3D nodule Annotation: GitHub
• United-10 COVID19 CT Dataset: Zenodo