Fakrul Islam Tushar

I am Fakrul Islam Tushar, an Assistant Research Professor at the University of Arizona, where I lead Tushar Lab. My research focuses on data-centric AI for healthcare and medicine through data discovery, intelligent tools, and the integration of clinical, simulated, and synthetic datasets..

I received my PhD training at Duke University’s Department of Electrical & Computer Engineering and the Center for Virtual Imaging Trials (CVIT), where I worked on AI-driven medical imaging, simulation, and digital twin technologies. I also hold an Erasmus+ Master’s degree in Medical Imaging (MaIA), completed across Spain, Italy, and France, and a B.Sc. in Electrical Engineering from AIUB, where I graduated Cum Laude and received the Dean’s Award.

My work has been supported by Erasmus+ and Duke University and has been recognized through multiple honors, including the Best Poster Award at (Virtual Imaging Trials in Medicine 2024) and a Travel Award from the SPIE Medical Imaging Conference 2024. Beyond research, I have also been involved in professional and service organizations including IEEE, Teach For Bangladesh, and Literacy Through Leadership.

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:

• HAID - Health AI Data Resource
• Nodule-Oriented Medical AI for Synthetic Imaging: NodMAISI
• Point-driven nodule segmentation: PiNS
• Virtual Lungs Screening Trials: VLST
• Context-Aware Nodule Augmentation: CaNA
• Duke Lung Nodule Dataset 2024: Zenodo
• AI in Lung Health Benchmark: GitHub
• In Silico Case-study: ReviCOVID