Personal profile

Contact Details

Email: [email protected]

Office: MB214H

Biography

Dr Zhuangzhuang Dai is a Lecturer in Computer Science in Aston University. Before joining Aston, Dr Zhuangzhuang Dai was a NIST Software Engineer in the Cyber Physical Systems group, University of Oxford, working on Simultaneous Localization and Mapping (SLAM) systems for emergency responders and robots. Dr Zhuangzhuang Dai completed a knowledge transfer project between Extronics Ltd. and University of Manchester delivering a flagship RFID device. Zhuangzhuang was awarded Ph.D. from University of Bath using an RF modelling approach to localization and navigation. Zhuangzhuang’s areas of interest include sensor fusion, embedded systems, Machine Learning, computer vision, propagation modelling, IoT, and urban data science.

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Collaborations and top research areas from the last five years

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  • AI Algorithms for Positive Change in Digital Futures

    Kavakli-Thorne, M. & Dai, Z., Jan 2025, In: Algorithms. 18, 1, 6 p., 43.

    Research output: Contribution to journalEditorialpeer-review

    Open Access
    File
  • Action Recognition for Privacy-Preserving Ambient Assisted Living

    Gbouna Zakka, V., Dai, Z. & Manso, L. J., 15 Aug 2024, Artificial Intelligence in Healthcare - 1st International Conference, AIiH 2024, Proceedings: Lecture Notes in Computer Science (14976). Xie, X., Styles, I., Powathil, G. & Ceccarelli, M. (eds.). Springer, p. 203-217 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14976 LNCS).

    Research output: Chapter in Book/Published conference outputConference publication

  • EgoCap and EgoFormer: First-person image captioning with context fusion

    Dai, Z., Tran, V., Markham, A., Trigoni, N., Rahman, M. A., Wijayasingha, L. N. S., Stankovic, J. & Li, C., May 2024, In: Pattern Recognition Letters. 181, p. 50-56 7 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
  • Hierarchical Temporal Convolution Network: Towards Privacy-Centric Activity Recognition

    Zakka, V. G., Dai, Z. & Manso, L. J., 21 Dec 2024, Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAml 2024). Bravo, J., Nugent, C. & Cleland, I. (eds.). 1 ed. 16 p. (Lecture Notes in Networks and Systems).

    Research output: Chapter in Book/Published conference outputConference publication

  • Integrating Temporal Context into Streaming Data for Human Activity Recognition in Smart Home

    Vicini, M., Rudorfer, M., Dai, Z. & Manso, L. J., 21 Dec 2024, Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024). Bravo, J., Nugent, C. & Cleland, I. (eds.). Springer, p. 238-251 14 p. (Lecture Notes in Networks and Systems; vol. 1212 LNNS).

    Research output: Chapter in Book/Published conference outputConference publication