Welcoming CSE Professor Flora Salim

CSE is proud to congratulate our new Professor, Flora Salim, on her appointment as the  inaugural CISCO Chair of Digital Transport, UNSW Sydney. This is further to her recent Women in AI recognition for her work in the Defence and Intelligence category. 

Prof Salim brings with her a wealth of award-winning research experience, where she investigates the intersection of ubiquitous computing, machine learning, and data science, with specific interests in behaviour-modelling and data-efficient learning with multimodal sensor data. 

She has received more than $10M in research funding in the last 10 years. Her research has been funded by Australian Research Council (ARC), the Victorian Government, Microsoft Research US, Northrop Grumman Corporation US, Rheinmetall Defence Australia, Qatar National Priorities Research Program, IBM Research, Alexander von Humboldt Foundation, Bayer Foundation, several city councils, and many other industry and government partners/funders. She has received several fellowships in the past, including Humboldt Fellowship,  Humboldt-Bayer Fellowship, Veski Fellowship, and ARC Postdoctoral Industry (APDI) Fellowship. She obtained her PhD from Monash University in 2009.

Prof Salim serves as a member of the Australian Research Council (ARC) College of Experts and is an Associate Investigator of the ARC Centre of Excellence in Automated Decision Making and Society. She serves as a Steering Committee member of ACM UbiComp, Associate Editor of the PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Area Editor of Pervasive and Mobile Computing. 

She has served as a senior PC member of premier AI and data science conferences including AAAI, CIKM, WWW. She was the PC Co-Chair of UbiComp 2020 and PerCom 2018. She was a Visiting Professor at University of Kassel, Germany, and University of Cambridge, England, in 2019. She holds an Honorary Professor appointment at RMIT University. Until recently, she was the co-Deputy Director of RMIT Centre for Information Discovery and Data Analytics.