Rate My Professor Sajib Saha

Sajib Saha serves as Adjunct Associate Professor at Murdoch University and Senior Research Scientist in the Artificial Intelligence and Computer Vision team at CSIRO's Health and Biosecurity Flagship. His academic background includes a Bachelor of Science (Honours) in Computer Science and Engineering from Khulna University, Bangladesh (2007), dual Erasmus Mundus Master's degrees in Color in Informatics and Media Technology specializing in Imaging and Computer Vision from the University of Jean Monnet, France, and the Norwegian University of Science and Technology, Norway (2011), and a PhD in Biomedical Imaging from the University of New South Wales, Canberra, Australia (2015).

Saha's career history features early roles as Software Engineer at Dohatec New Medica, Bangladesh (2007-2009), and R&D Engineer at Technicolor R&I, France (2011), followed by R&D Internship at CSIRO, Melbourne (2013-2015). He completed an Office of Chief Executive Postdoctoral Fellowship at CSIRO's Australian e-Health Research Centre, Western Australia (2015-2018), a Visiting Research Fellowship at the University of California-Los Angeles (2018), and served as AI Research Fellow at Harvard Medical School. His research specializations encompass artificial intelligence, machine and deep learning, computer vision, medical imaging, and biomedical signal processing, with a focus on automated detection, prediction, and progression analysis of sight-threatening eye diseases such as glaucoma and diabetic retinopathy for clinical decision support. He has led impactful grants including the WA Future Health Research and Innovation WANMA Grant as CIA (2022-2023), CSIRO ACORN Grant as CIA (2021-2022), Australia-Vietnam Enhanced Economic Engagement Grant as PI (2021-2022), and Research Translation Projects Grant as CIC (2020), contributing to implementations like AI-based teleretinal screening at Royal Perth Hospital.

Saha has earned major awards such as the Julius Career Award from CSIRO (2022), Endeavour Visiting Research Fellowship (2018), Rising Star Award at Science on the Swan (2018), and Office of Chief Executive Postdoctoral Fellowship from CSIRO (2015-2018). With over 1,192 citations on Google Scholar, key publications include "A fast and fully automated system for glaucoma detection using color fundus photographs" (Scientific Reports, 2023). He holds memberships in the IEEE Computer Society and the Association for Research in Vision and Ophthalmology, serves as Editorial Board Member for EC Ophthalmology, and Programming Committee Member for the International Conference on Neural Information Processing (ICONIP).