معرفی
Mousumi Rizia is a Research Fellow at the School of Computing, Australian National University (ANU). Her work bridges computer vision, medical imaging, and robotics with applications in healthcare and aerospace engineering. Previously, she held roles including Ph.D. Instructor at the University of Texas at El Paso (2021–2023), Research Associate at NASA Aerospace Center (2018–2022), and Assistant Professor at the Military Institute of Science and Technology (2015–2018). She earned her Ph.D. in Aerospace and Mechanical Engineering from the University of Texas at El Paso in 2022, focusing on real-time structural inspection methods.
Her research interests span generative AI, neuroinformatics, and fluid mechanics. Notable projects include developing deep learning models for brain disease diagnosis and autonomous aerial inspection systems. She collaborates internationally on topics like edge computing for infrastructure monitoring and wind load simulations for complex structures.
Rizia’s work frequently intersects robotics and medical imaging, with recent focus on generative adversarial networks (GANs) for disease progression modeling. Her prior research on wind effects on polygonal cylinders advanced fluid dynamics understanding in structural engineering contexts.
She actively contributes to educational initiatives through her roles as a supervisor for student research projects and maintains affiliations with academic institutions in Bangladesh and the U.S. Her work has been presented at venues like the IEEE International Conference on Bioinformatics and Biomedicine.
