STAFF PROFILE
Professor Flora Salim
Flora Salim is a Professor in the School of Computing Technologies, RMIT University, Melbourne, Australia, the co-Deputy Director of RMIT Centre for Information Discovery and Data Analytics (CIDDA), and an Associate Investigator of ARC Centre of Excellence in Automated Decision Making and Society.
Flora leads the IoT Analytics node, or the Context Recognition and Urban Intelligence (CRUISE) group.
Her research interests include human behaviour modelling, time-series and spatio-temporal data mining, machine learning on stream and sensor data, ubiquitous computing, and smart cities.
She was a Humboldt-Bayer Fellow (from Bayer Foundation GmbH), Humboldt Fellow -experienced researcher (from Alexander von Humboldt Foundation), Victoria Fellow 2018 (from Victorian government).
She was the recipient of the the RMIT Vice-Chancellor's Award for Research Excellence–Early Career Researcher 2016; the RMIT Award for Research Impact - Technology 2018; Victorian iAwards (2014), Australian Research Council (ARC) Postdoctoral Research Industry (APDI) Fellow (2012-2015); IBM Smarter Planet Industry Skills Innovation Award (2010). She serves as an Associate Editor of the PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), an Area Editor of Pervasive and Mobile Computing journal, and a Steering Committee member of ACM UbiComp.
Prof. Salim has received several ARC Linkage, a Discovery, and numerous international industry grants, including from Microsoft Research, Northrop Grumman Corporations, and Qatar National Research Funds. She was a Visiting Professor at University of Kassel, Germany, and University of Cambridge, UK, in 2019.
- Saeed, A.,Salim, F.,Ozcelebi, T.,Lukkien, J. (2021). Federated Self-Supervised Learning of Multisensor Representations for Embedded Intelligence In: IEEE Internet of Things Journal, 8, 1030 - 1040
- Ali, A.,Salim, F.,Kim, D.,Neia, A.,Bouguettaya, A. (2021). (In Press) Drone-as-a-Service Composition Under Uncertainty In: IEEE Transactions on Services Computing, , 1 - 14
- Gao, N.,Shao, W.,Saiedur Rahaman, M.,zhai, j.,David, K.,Salim, F. (2021). Transfer learning for thermal comfort prediction in multiple cities In: Building and Environment, 195, 1 - 12
- Bedogni, L.,Rumi, S.,Salim, F. (2021). Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing Applications In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 5, 1 - 21
- Dong, B.,Liu, Y.,Salim, F.,Xue, H., et al, . (2021). Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review In: Applied Energy, 293, 1 - 17
- Li, M.,Cai, W.,Liu, R.,Salim, F.,Chang, Xiaojun., et al.,, . (2021). FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark In: Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS Datasets and Benchmarks 2021), Virtual, 6-14 December 2021
- Khaokaew, Y.,Saiedur Rahaman, M.,White, R.,Salim, F. (2021). CoSEM: Contextual and Semantic Embedding for App Usage Prediction In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM 2021), Queensland, Australia, 1-5 November 2021
- Saiedur Rahaman, M.,Shao, W.,Salim, F.,Turky, A.,Song, A.,Chan, J.,Jiang, J.,Bradbrook, D. (2021). MoParkeR: Multi-objective Parking Recommendation In: Proceedings of the 33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021), Tampa, Florida, United States, 6-7July 2021
- Abu Shaqra, F.,Xue, H.,Ren, Y.,Salim, F. (2021). PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series In: Proceedings of the 21st IEEE International Conference on Data Mining (ICDM 2021), Auckland, New Zealand, 7-10 December 2021
- Schwee, J.,Sangogboye, F.,Salim, F.,Kjærgaard, M. (2020). Tool-chain for supporting Privacy Risk Assessments In: BuildSys 2020 - Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Japan, 18-20 November 2020
- Digitisation for Safe Workplaces (VHESIF Pool 1). Funded by: Victorian Higher Education State Investment Fund (VHESIF) - Pool 1 from (2021 to 2025)
- Project 69: C4NET Demand Response Initiative - Optimisation of behind the meter DER generation assets within network constraints: A roadmap to successful DR program. Funded by: Centre for New Energy Technologies (C4NET) from (2021 to 2023)
- C4NET Demand Response Initiative – Industrial and Commercial Demand Flexing to Increase Overall Benefit (“INFLEXION”) (Administered by Federation University). Funded by: Centre for New Energy Technologies (C4NET) from (2021 to 2022)
- 53. Precinct level (or city level) energy use prediction using building data and other data sources. Funded by: Centre for New Energy Technologies (C4NET) from (2021 to 2022)
- NEXUS: Explainable and Unified Spatial Reasoning and Sensor Fusion (Phase 2). Funded by: Defence Science and Technology Group - Contract from (2020 to 2022)
10 PhD Completions11 PhD Current Supervisions and 1 Masters by Research Current Supervisions