Professor Flora Salim
Flora Salim is a Professor in the School of Computer Science and Engineering (CSE),  the inaugural Cisco Chair of Digital Transport & AI, University of New South Wales (UNSW) Sydney, and the Deputy Director (Engagement) of UNSW AI Institute. Her research is on machine learning for time-series and multimodal sensor data and on trustworthy AI. She has received several prestigious fellowships  including Humboldt-Bayer Fellowship, Humboldt Fellowship, Victoria Fellowship, and ARC Australian Postdoctoral (Industry) Fellowship.
She has attracted more than $20m in research and industry funding in the last 10 years, as lead or sole CI for more than half of these grants, including research funded by ARC, Microsoft Research US, Northrop Grumman Corporation US, Qatar National Priorities Research Program, Cisco, IBM Research, several city councils and many other industry and government partners/funders. She is a Chief Investigator on the ARC Centre of Excellence for Automated Decision Making and Society (ADM+S), co-leading the Machines Program and the Mobilities Focus Area. She was the recipient of the Women in AI Awards 2022 Australia and New Zealand in the Defence and Intelligence Category.
She is a member of the Australian Research Council (ARC) College of Experts. She serves as an Editor of IMWUT, Associate-Editor-in-Chief of IEEE Pervasive Computing, Associate Editor of ACM Transactions on Spatial Algorithms and Systems, a Steering Committee member of ACM UbiComp. She has served as a Senior Area Chair / Area Chair of AAAI, WWW, NeurIPS, and many other top-tier conferences in AI and ubiquitous computing.
She is an Associate of ELLIS Alicante and holds an Honorary Professor appointment at RMIT University. She was a Visiting Professor at University of Kassel, Germany, and University of Cambridge, England, in 2019.Â
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- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
A sample of news coverage and/or interviews
- On winning Women in AI Awards 2022 in Defence and Intelligence category ()
- COVID-19 diagnostics from cough sounds( article; )
- Our work with Mornington Peninsula Shire
- Our work on smart cities with City of Melbourne (IoT Hub article)
- AI sheds light on workplace productivity ()
- AI and sensing system to predict concentration at open-plan workplaces ()
- Personality traits prediction using mobile sensor data ()
- Microsoft Cortana Intelligence Institute's next generation productivity assistant ()
- Crime prediction in Australian and US cities (; Herald Sun)
- On privacy and tracking ()
- On Women in IT ()