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Ratings & reviews

4.05/21/2025

Makes learning interactive and engaging.

5.03/31/2025

Always goes the extra mile for students.

4.02/27/2025

Encourages critical thinking and analysis.

5.02/4/2025

Great Professor!

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About Kris

Kris Ehinger is an Associate Professor in the School of Computing and Information Systems at the University of Melbourne, within the Faculty of Engineering and Information Technology. She earned her PhD in Cognitive Science from the Massachusetts Institute of Technology in 2013, with a thesis on visual features for scene recognition and reorientation under the supervision of Ruth Rosenholtz. Prior to this, she completed a BSc (Hons) in Psychology from the University of Edinburgh in 2007 and a BS in Engineering and Applied Science from the California Institute of Technology in 2003. Her career includes a VISTA Postdoctoral Fellowship at the Centre for Vision Research, York University from 2016 to 2019, and a Postdoctoral Fellowship at Harvard Medical School from 2013 to 2016 under Jeremy Wolfe. She joined the University of Melbourne as Senior Lecturer in Digital Health in 2019, advancing to Associate Professor in 2025. Ehinger has secured significant funding, including ARC Discovery Projects DP240101264 (2024-2028) on cognitive models of image memorability and DP210100433 (2021-2024) on physics-inspired AI for geomaterials, as well as an ONI grant NI220100072 (2022-2025) for machine learning on miniature satellites. She received the National Science Foundation Graduate Research Fellowship (2009-2012), VISTA Postdoctoral Fellowship (2017-2019), Excellence in Research award from the School of Computing and Information Systems in 2023, and second place for best Human Vision poster at ICPV2019.