Biography
Dr. Sajib Kumar Saha is a Research Scientist at the commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia. He is an honorary research fellow at the Doheny Eye Institute, University of California-Los Angeles (UCLA), USA.
His research focuses on artificial intelligence and image processing for automated detection, prediction and progression analysis of sight threatening eye diseases, and machine learning for clinical decision support. He has a PhD in Biomedical Imaging from the University of New South Wales, Canberra, Australia. He obtained dual master's degree in Imaging and Computer Vision from the University of Jean Monnet, France and Norwegian University of Science and Technology, Norway. He did his master thesis in Technicolor R&I, France. Dr. Saha obtained his Bachelor of Science (honours) in Computer Science and Engineering from Khulna University.
Dr. Saha has published numerous articles in the form of peer reviewed journals, book chapters and conference proceedings. His research interests and expertise include biomedical signal processing and analysis, computer vision, medical imaging, and image processing in general.
Fields of Research
Academic Qualifications
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2015
PhD
University of New South Wales, Canberra, Australia -
2011
Eramus Mundus Master in Color in Informatics and Media Technology (Specialization: Computer Vision)
University Jean Monnet, France -
2011
Eramus Mundus Master in Color in Informatics and Media Technology (Specialization: Digital Imaging)
Norwegian University of Science and Technology, Norway -
2007
Bachelor of Science (honours) in Computer Science and Engineering
Khulna University, Bangladesh
Professional Experiences
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2015-2018
Postdoctoral Fellow
Australian e-Health Research Centre WA, CSIRO -
2018-2018
Visiting Research Fellow
University of California-Los Angeles, USA -
2011-2011
Research and Development
Technicolor R&I, France -
2013-2015
Research and Development Intern
CSIRO, Melbourne, Australia -
2007-2009
Software Engineer
Dohatec New Medica, Bangladesh
Achievements and Awards
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2018-2018
Endeavour Visiting Research Fellowship
Federal Govt. Australia -
2015-2018
Office of Chief Executive Postdoctoral Fellowship
CSIRO -
2014-2014
Best poster in ‘Science, Technology, Engineering & Mathematics’
University of New South Wales, Canberra, Australia -
2013-2013
Best poster
University of New South Wales, Canberra, Australia -
2012-2012
Best Presenter
International Conference on Machine Vision -
2009-2011
Erasmus Mundus Scholarship by the European Union
European Union -
2010-2010
1st in CIMET-Nokia group project contest-2010
CIMET-Nokia group
Other highlights
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2019-2019
Invited to visit University of Paris, France and delivered seminar
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2019-2019
Invited to visit University of Milan, Italy and delivered seminar
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2019-2019
Invited to visit ETH Zürich, Switzerland and delivered seminar
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2018-2018
Rising Star award at the Science on the Swan 2018 for contribution in Health and Medicine by developing artificial intelligent based clinical decision support system for diabetic retinopathy
Grants
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2021-2022
The Australia-Vietnam Enhanced Economic Engagement Grant (AVEG): "Paving the way for Australian health innovations in Vietnam" (PI)
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2020-2020
Research Translation Projects Grant: “Implementation of Automated Teleretinal Screening System for Patients with Diabetes in the Royal Perth Hospital’s Ophthalmology Department” (CIC)
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2021-2023
Research Translation Projects (RTP) Grant: "Better and faster than the human eye: artificial intelligence and computational radiomics for foot x-rays in patients with diabetes-related foot infections" (AI)
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2021-2022
CSIRO ACORN Grant: "artificial intelligence and smartphone-based system for assessment and monitoring of glaucoma at home" (CIA)
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2020-2020
Spinnaker Grant: “Novel use of video-analysis algorithms to improve cancer diagnosis in pathology” (PI)
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2018-2018
Western Australia Diabetes Research Grant: “Artificial intelligence-based grading and diagnosis of diabetes induced retinopathy at GP clinics” (CIC)
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2021-2021
FHRI Focus Grant: “Artificial intelligence technology for automated detection of tooth decay from mobile dental photographs” (AI)
Community and Corporate Citizenship
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2015-Present
Member of the Association for Research in Vision and Ophthalmology
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2011-Present
Member of IEEE Computer Society
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2017-Present
Editor: EC Ophthalmology