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 human-centred AI, behaviour modelling, data-efficient machine learning, and Multimodal Foundation Models (MFMs) for sensor data.
Fields of Research (FoR)Pervasive computing, Stream and sensor data, Machine learning, Deep learning, Artificial intelligence, Neural networks, Context learning, Semi- and unsupervised learning, Cyberphysical systems and internet of things, Data engineering and data science, Human-centred computing, Fairness, accountability, transparency, trust and ethics of computer systems
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...view more
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 was a recipient of the Women in AI Awards 2022 Australia and New Zealand (Defence and Intelligence Category). She has worked with many industry and government partners, and managed large-scale research and innovation projects, leading to several patents and deployed systems.
She is a member of the Australian Research Council (ARC) College of Experts. 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 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, and an Associate of ELLIS Alicante. She obtained her PhD from Monash University in 2009.
She serves as a member of the Australian Research Council (ARC) College of Experts. She 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 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.
My Research Supervision
Areas of supervision
The R&D ecosystem through Prof Salim’s Cisco chair role brings in new opportunities for novel research in human behaviour representation learning at multiple scale, given the access to high quality, high volume of multimodal spatio-temporal and mobility datasets from Australian cities, and excellent opportunities to engage with industry and communities to translate the research into real-world contexts of use.
Available PhD Topics:
- Representation learning of spatio-temporal and/or mobility data
- Data-efficient learning with multimodal sensor data
- Multimodal Foundation Models (MFMs), Large Language models (LLMs), graph models, hybrid models for time-series/spatio-temporal/mobility data
- Edge AI / machine learning on the edge
- Graph embedding for spatio-temporal / POI recommendation
- Human-centric behaviour learning with AI+IoT/wearables for applications in the future of transport/mobility and the associated areas
To apply, please submit the following documents to firstname.lastname@example.org.
- a cover letter (research statement), addressing the criteria and topics in the call.
- a CV that includes any publications/awards and the contact details of 2 referees.
- a copy of electronic academic transcripts.
- a short brief or abstract of research proposal, to be developed further after successful interview.
A sample of news coverage and/or interviews
- On winning Women in AI Awards 2022 in Defence and Intelligence category (Interview with Campus Review)
- COVID-19 diagnostics from cough sounds(Startup Daily article; Research highlights by ARC)
- Our work with Mornington Peninsula Shire (interview with Pace Today)
- Our work on smart cities with City of Melbourne (IoT Hub article)
- AI sheds light on workplace productivity (Property Council of Australia's feature article)
- AI and sensing system to predict concentration at open-plan workplaces (article on TechXplore)
- Personality traits prediction using mobile sensor data (article on ZDNet)
- Microsoft Cortana Intelligence Institute's next generation productivity assistant (news release by Microsoft)
- Crime prediction in Australian and US cities (Brisbane Times; Herald Sun)
- On privacy and tracking (an interview with ABC)
- On Women in IT (SBS interview)