Introduction
Academic Bio
Pengwei Yang is a Research Associate in the Sensors, Clouds, and Services Lab at the University of Sydney. Pengwei Yang was a Research Master Student under the supervision of Prof. Athman Bouguettaya in the School of Computer Science at the University of Sydney, with a strong interdisciplinary background in Computer Science and Electronic Information Science. As a researcher in the Sensors, Clouds, and Services Lab at the University of Sydney, Pengwei’s work explores various facets of computer science, including Crowdsourcing, Service Computing, Deep Learning, and Trustworthy Machine Learning.
Pengwei Yang’s commitment to research has been evident in his contributions to the field. He has successfully published a demo paper at the International Conference on Service-Oriented Computing (ICSOC, Core A) and another demo paper at the IEEE International Conference on Pervasive Computing and Communications (PerCom, Core A*). Furthermore, Pengwei has a full research paper accepted by the IEEE International Conference on Web Services (ICWS, Core A), which is a significant achievement in his field of research. He is currently planning to expand upon his research and submit an extended version to the IEEE Transactions on Services Computing (TSC), a prestigious journal in the area of service computing. Pengwei Yang’s academic journey reflects his passion for computer science and a dedication to making an impact in his field.
Research Interests: Service-oriented Computing, IoT, Natural Language Processing, Deep Learning, Trustworthy Machine Learning
Advisor Bio: Prof. Athman Bouguettaya is a distinguished academic in the field of computer science. He is Professor and former Head of School of Computer Science at The University of Sydney, NSW, Australia. His impressive accomplishments as a scholar and researcher have garnered him various prestigious awards and designations, such as IEEE Fellow, IEEE Computer Society Distinguished Scientist, ACM Distinguished Scientist, ACM Distinguished Speaker, and WISE Fellow. He is serving as the Vice-Chair of the 2023 IEEE Computer Society Fellow Evaluating Committee.
Education:
- M.I.T. (Research Pathway)
- B.Eng
Publications:
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, and Athman Bouguettaya. “Towards peer-to-peer sharing of wireless energy services.” International Conference on Service-Oriented Computing. Cham: Springer Nature Switzerland, 2022. Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, and Athman Bouguettaya. “Monitoring efficiency of iot wireless charging.” 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE, 2023. Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, and Athman Bouguettaya. “Energy Loss Prediction in IoT Energy Services.” 2023 IEEE International Conference on Web Services (ICWS). IEEE, 2023. Pengwei Yang, Chongyangzi Teng, and Jack George Mangos. “Establishment of Neural Networks Robust to Label Noise.” arXiv preprint arXiv:2211.15279 (2022). Pengwei Yang, Chongyangzi Teng, and Jack George Mangos. “Containminated Images Recovery by Implementing Non-negative Matrix Factorisation.” arXiv preprint arXiv:2211.04247 (2022). Chongyangzi Teng, Pengwei Yang, and Mengshen Guo. “Multimodal in Multi-Label Classification: A Report.” Chongyangzi Teng, Pengwei Yang, and Mengshen Guo. “Techniques in Deep Learning: A Report.”đ Towards peer-to-peer sharing of wireless energy services
đ Monitoring efficiency of iot wireless charging
đ Energy Loss Prediction in IoT Energy Services
đ Establishment of Neural Networks Robust to Label Noise
đ Containminated Images Recovery by Implementing Non-negative Matrix Factorisation
đ Multimodal in Multi-Label Classification: A Report
đ Techniques in Deep Learning: A Report
Projects:
Monitoring Efficiency of IoT Wireless Charging
Towards Peer-to-Peer Sharing of Wireless Energy Services
Energy Loss Prediction in IoT Energy Services
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Acknowledgements
Greatly appreciate the support from Sensors, Clouds, and Services Lab, Australian Research Council, IEEE Computer Society, and Commonwealth Scientific and Industrial Research Organisation. The statements made herein are solely the responsibility of the author.