Published multiple papers in journals and conferences including 'Development of a Modular Biopotential Amplifier Trainer for Biomedical Instrumentation Laboratory Experiments' (2018), 'Classification of Chest CT Using Case-level Weak Supervision' (2019), 'Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques' (2019), etc.
Research Experience
Currently a Post-Graduate Research Associate at the Carl E. Ravin Advanced Imaging Laboratories (RAI Labs), Duke University Medical Center, USA.
Education
Associate in Research, 2019-present, Duke University Medical Center; Masters in Medical Imaging and Applications, 2017-2019, Erasmus Mundus Joint Master (University of Burgundy; University of Cassino; University of Girona, Duke University); BSc in Electrical & Electronic Engineering, 2013-2017, American International University Bangladesh. Recipient of the “Cum Laude” distinction, Dean’s Award, European Union: Erasmus+ Grant, and Duke University: Masters Thesis Grant.
Background
A Medical Imaging & Computer Vision Engineer, primarily engaged in research, computer-aided diagnosis and healthcare innovation using machine learning, neural networks, and image analysis driven solutions.
Miscellany
Interests include Artificial Intelligence, Medical Image Processing and Analysis, Image Segmentation, Deeplearning, NLP. Past affiliations include IEEE AIUB Student Branch, Teach For Bangladesh, and 'Literacy Through Leadership'.