30 machine learning professors in Australia, at 12 universities. The most represented are The University of Sydney, Australian National University and Deakin University.
The list is built from open publication data (OpenAlex and ORCID), the same data ProfScout uses in the app: actively publishing faculty at the largest research universities in Australia whose recent work sits in machine learning. Retired, trainee and staff-scientist records are filtered out where the public record identifies them. It is not a prestige ranking: professors are listed by how prominently machine learning figures in their published work. Reply-fit scores, which weigh how likely each professor is to answer a student's email, are computed for your own profile inside ProfScout. Updated September 2026; the list is rebuilt from the open record a few times a year.
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Universities on this list: The University of Sydney (5) · Australian National University (4) · Deakin University (4) · The University of Melbourne (4) · Monash University (3) · The University of Adelaide (2) · The University of Queensland (2) · University of Technology Sydney (2) · La Trobe University (1) · RMIT University (1) · University of South Australia (1) · UNSW Sydney (1)
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From the public publication record. Each person here is an active researcher at one of the largest research universities in Australia, publishing recently in machine learning, and not flagged by the public record as retired, in training, or in a staff role.
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Yes. Open a professor in ProfScout and you see a verified address where one exists in the published record, their recent papers, and a reply-fit score for your own profile. Every account gets 3 professor unlocks free; see pricing for unlimited access.