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Dr Shohreh Deldari

Dr Shohreh Deldari

Research Associate
Engineering
Computer Science and Engineering

Shohreh is a Postdoctoral researcher in Machine Learning, School of Computer Science and  Engineering, University of New South Wales. She has done her PhD in Computer Science in the School of Computing Technologies at RMIT University Under the supervision of Professor Flora Salim from UNSW, and Dr Daniel Smith from Data61, CSIRO. Her PhD was on multivariate time-series analysis with minimal supervision. 

Shohreh's research interests include wearable sensors, on-edge learning, self-supervised learning and time-series data.

 
E-mail
s.deldari@unsw.edu.au
  • Journal articles | 2023
    Anderson C; Heinisch JS; Deldari S; Salim F; Ohly S; David K; Pejovic V, 2023, 'Toward Social Role-Based Interruptibility Management', IEEE Pervasive Computing, 22, pp. 59 - 68, http://dx.doi.org/10.1109/MPRV.2022.3229905
    Journal articles | 2022
    Deldari S; Xue H; Saeed A; Smith DV; Salim FD, 2022, 'COCOA: Cross Modality Contrastive Learning for Sensor Data', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6, http://dx.doi.org/10.1145/3550316
    Journal articles | 2020
    Deldari S; Smith DV; Sadri A; Salim F, 2020, 'ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for Processing Heterogeneous Sensor Data', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4, http://dx.doi.org/10.1145/3411832
  • Conference Papers | 2024
    Deldari S; Spathis D; Malekzadeh M; Kawsar F; Salim FD; Mathur A, 2024, 'CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking', in Proceedings of the 17th ACM International Conference on Web Search and Data Mining, ACM, presented at WSDM '24: The 17th ACM International Conference on Web Search and Data Mining, http://dx.doi.org/10.1145/3616855.3635795
    Preprints | 2023
    Liu J; Deldari S; Xue H; Nguyen V; Salim FD, 2023, Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study, , http://dx.doi.org/10.48550/arxiv.2305.00619
    Preprints | 2022
    Deldari S; Xue H; Saeed A; He J; Smith DV; Salim FD, 2022, Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data, , http://arxiv.org/abs/2206.02353v2
    Preprints | 2022
    Deldari S; Xue H; Saeed A; Smith DV; Salim FD, 2022, COCOA: Cross Modality Contrastive Learning for Sensor Data, , http://dx.doi.org/10.1145/3550316
    Preprints | 2022
    Heinisch JS; Gao N; Anderson C; Deldari S; David K; Salim F, 2022, Investigating the Effects of Mood & Usage Behaviour on Notification Response Time, , http://arxiv.org/abs/2207.03405v1
    Preprints | 2021
    Anderson C; Heinisch JS; Deldari S; Salim FD; Ohly S; David K; Pejovic V, 2021, Towards Social Role-Based Interruptibility Management, , http://dx.doi.org/10.1109/MPRV.2022.3229905
    Conference Papers | 2021
    Deldari S; Smith DV; Xue H; Salim FD, 2021, 'Time series change point detection with self-supervised contrastive predictive coding', in The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021, pp. 3124 - 3135, http://dx.doi.org/10.1145/3442381.3449903
    Preprints | 2020
    Deldari S; Smith DV; Sadri A; Salim FD, 2020, ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data, , http://dx.doi.org/10.1145/3411832
    Preprints | 2020
    Deldari S; Smith DV; Xue H; Salim FD, 2020, Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding, , http://dx.doi.org/10.1145/3442381.3449903