QUT - Academic profiles - Associate Professor Sara Khalifa

Biography

Sara Khalifa is an associate professor at Queensland University of Technology. Her research revolves around the broad aspects of ubiquitous sensing and edge computing for Internet of Things (IoT) applications. Specifically, she focuses on enhancing the energy efficiency of mobile sensing systems and developing lightweight machine learning techniques for resource-constrained sensing devices. From 2016-2023, she was with CSIRO’s Data61 establishing the foundational research area of “Energy Harvesting Sensing (EHS)” as a core research focus developing a new paradigm for energy-efficient sensing and context recognition, opening up a multitude of new applications, generating IP, and attracting significant funding and commercial interest.

She obtained a PhD in Computer Science and Engineering from UNSW (Sydney, Australia). Her PhD dissertation received the 2017 John Makepeace Bennett Award which is awarded by CORE (Computing Research and Education Association of Australasia) to the best PhD dissertation of the year within Australia and New Zealand in the field of Computer Science. Her research has been also recognised by multiple iAwards including 2017 NSW Mobility Innovation of the year, 2017 NSW R&D Innovation of the year, National Merit R&D Innovation of the year, and the Merit R&D award at the Asia Pacific ICT Alliance (APICTA) Awards, commonly known as the "Oscar" of the ICT industry in the Asia Pacific, among others.

sara.khalifa@qut.edu.au

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Personal details

Positions

Associate Professor
Faculty of Science,
School of Information Systems

Qualifications

Doctor of Philosophy in Computer Science and Engineering (University of New South Wales)

Publications

Research outputs by year

Book
Chapter in Book / Report / Conference Proceeding
Contribution to a Journal

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1 new publication in 2014

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4 new publications in 2015

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4 new publications in 2016

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4 new publications in 2017

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2 new publications in 2018

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2 new publications in 2019

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6 new publications in 2020

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2 new publications in 2021

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5 new publications in 2022

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6 new publications in 2023

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3 new publications in 202420142015201620172018201920202021202220232024024681020142015201620172018201920202021202220232024

QUT ePrints

For more publications by Sara, explore their research in QUT ePrints (our digital repository).

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2024

Rajapakshe, T., Rana, R., Khalifa, S., Sisman, B., Schuller, B. W. & Busso, C. (2024). emoDARTS: Joint Optimization of CNN and Sequential Neural Network Architectures for Superior Speech Emotion Recognition. IEEE Access, 12, 110492–110503. https://eprints.qut.edu.au/253502
Pal, S., Khalifa, S., Miller, D., Dedeoglu, V., Dorri, A., Ramachandran, G., Moghadam, P., Kusy, B. & Jurdak, R. (2024). Uncertainty Propagation in the Internet of Things. Discover Internet of Things, Article 32, 4(1). https://eprints.qut.edu.au/254263
Rajapakshe, T., Rana, R., Khalifa, S. & Schuller, B. W. (2024). Domain Adapting Deep Reinforcement Learning for Real-World Speech Emotion Recognition. IEEE Access, 12, 193101–193114. https://eprints.qut.edu.au/254831

2023

Latif, S., Rana, R., Khalifa, S., Jurdak, R., Qadir, J. & Schuller, B. W. (2023). Survey of Deep Representation Learning for Speech Emotion Recognition. IEEE Transactions on Affective Computing, 14(2), 1634–1654. https://eprints.qut.edu.au/213410
Latif, S., Rana, R., Khalifa, S., Jurdak, R. & Schuller, B. W. (2023). Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition. IEEE Transactions on Affective Computing, 14(3), 1912–1926. https://eprints.qut.edu.au/229528
Latif, S., Rana, R., Khalifa, S., Jurdak, R. & Schuller, B. W. (2023). Multitask Learning from Augmented Auxiliary Data for Improving Speech Emotion Recognition. IEEE Transactions on Affective Computing, 14(4), 3164–3176. https://eprints.qut.edu.au/236225
Sandhu, M. M., Khalifa, S., Portmann, M. & Jurdak, R. (2023). Self-powered Internet of Things: How Energy Harvesters can Enable Energy-Positive Sensing, Processing, and Communication. Springer. https://eprints.qut.edu.au/237992
Sandhu, M. M., Khalifa, S., Geissdoerfer, K., Jurdak, R., Portmann, M. & Kusy, B. (2023). FusedAR: Energy-Positive Human Activity Recognition using Kinetic and Solar Signal Fusion. IEEE Sensors Journal, 23(11), 12411–12426. https://eprints.qut.edu.au/239342
Deumer, M., Sandhu, M., Khalifa, S., Kusy, B., Geissdoerfer, K., Zimmerling, M. & Jurdak, R. (2023). A battery-free wearable system for on-device human activity recognition using kinetic energy harvesting. EWSN '23: Proceedings of the 2023 International Conference on Embedded Wireless Systems and Networks, 163–169. Association for Computing Machinery (ACM). https://eprints.qut.edu.au/240182

2022

Latif, S., Rana, R., Khalifa, S., Jurdak, R., Epps, J. & Schuller, B. W. (2022). Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition. IEEE Transactions on Affective Computing, 13(2), 992–1004. https://eprints.qut.edu.au/208942
Tran, M. T., Sandhu, M. M., Khalifa, S., Ramachandran, G. & Jurdak, R. (2022). Poster abstract: Trade-off Analysis of Inference Accuracy and Resource Usage for Energy-Positive Activity Recognition. Proceedings of the 2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2022), 543–544. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/228444
Edwards, M. & Khalifa, S. (2022). Demo Abstract: A Real Time Control System for Replaying Motion Data. Proceedings of the 2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 499–500. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/246401
Rajapakshe, T., Rana, R., Khalifa, S., Liu, J. & Schuller, B. (2022). A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition. ACSW '22: Proceedings of the 2022 Australasian Computer Science Week, 96–105. Association for Computing Machinery (ACM). https://eprints.qut.edu.au/246512
Saha, A., Bialkowski, A. & Khalifa, S. (2022). Distilling Representational Similarity using Centered Kernel Alignment (CKA). Proceedings of the the 33rd British Machine Vision Conference (BMVC 2022), British Machine Vision Association. https://eprints.qut.edu.au/246524

2021

Sandhu, M. M., Khalifa, S., Jurdak, R. & Portmann, M. (2021). Task Scheduling for Energy Harvesting-based IoT: A Survey and Critical Analysis. IEEE Internet of Things Journal, Article 9446528, 8(18), 13825–13848. https://eprints.qut.edu.au/210554

A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/sara.khalifa

Associate ProfessorSara Khalifa

Biography

Personal details

Positions

Qualifications

Publications

Research outputs by year

Selected publications

QUT ePrints

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2024

2023

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2021

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Associate Professor
Sara Khalifa