Personal profile
Biography
Prof Daoyi Dong is a Future Fellow of the Australian Research Council at the School of Engineering, ANU, and a Fellow of the IEEE. He received a B.E. degree and a Ph.D. degree from the University of Science and Technology of China in 2001 and 2006, respectively. He is a recipient of a Humboldt Research Fellowship from the Alexander von Humboldt Foundation of Germany, the inaugural ACA Temasek Young Educator Award from the Asian Control Association, an International Collaboration Award, a Discovery International Award and an Australian Postdoctoral Fellowship from Australian Research Council. He was/is an Associate Editor or Guest Editor of several journals including IEEE Transactions on Neural Networks and Learning Systems, Annual Reviews in Control, IEEE/ASME Transactions on Mechatronics, and IEEE Transactions on Cybernetics.
Qualifications
PhD
Research Interests
Quantum control, machine learning, system identification, renewable energy
Research student supervision
- Registered to supervise
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
Data-driven control of a single-qubit system based on unitary evolution reconstruction
Lee, Y., Berberich, J., Petersen, I. R. & Dong, D., Mar 2026, In: IFAC Journal of Systems and Control. 35, 100377.Research output: Contribution to journal › Article › peer-review
Open Access -
Arbitrary state transition of open qubit system based on switching control
Wu, G., Xue, S., Ma, S., Kuang, S., Dong, D. & Petersen, I. R., Sept 2025, In: Automatica. 179, 112424.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
A Two-Stage Solution to Quantum Process Tomography: Error Analysis and Optimal Design
Xiao, S., Wang, Y., Zhang, J., Dong, D., Mooney, G. J., Petersen, I. R. & Yonezawa, H., 2025, In: IEEE Transactions on Information Theory. 71, 3, p. 1803-1823 21 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Auxiliary Task-Based Deep Reinforcement Learning for Quantum Control
Zhou, S., Ma, H., Kuang, S. & Dong, D., Feb 2025, In: IEEE Transactions on Cybernetics. 55, 2, p. 712-725 14 p.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Collective Quantum State Tomography: Closed-Form and Numerical Solutions, and Validation
Xiao, S., Wang, Y., Hou, Z., Xiang, G. Y., Petersen, I. R. & Dong, D., 2025, Proceedings of 2025 IEEE International Conference on Quantum Control, Computing and Learning, qCCL 2025. Institute of Electrical and Electronics Engineers Inc., p. 124-131 8 p. (Proceedings of 2025 IEEE International Conference on Quantum Control, Computing and Learning, qCCL 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review