Rate My Professor Dong Yuan

Yuan's research specializations encompass cloud and edge computing, artificial intelligence, deep learning, Internet of Things, and workflow systems. He has produced key publications advancing these fields, including 'A data placement strategy in scientific cloud workflows' (2010, co-authored with Y. Yang, X. Liu, J. Chen), cited over 450 times; 'A market-oriented hierarchical scheduling strategy in cloud workflow systems' (2013, co-authored with Z. Wu, X. Liu, Z. Ni, Y. Yang), cited more than 380 times; 'A compromised-time-cost scheduling algorithm in SwinDeW-C for instance-intensive cost-constrained workflows on a cloud computing platform' (2010, co-authored with K. Liu, H. Jin, J. Chen, X. Liu, Y. Yang); 'A novel directional and non-local-convergent particle swarm optimization based workflow scheduling in cloud–edge environment' (2019, co-authored with Y. Xie, Y. Zhu, Y. Wang, Y. Cheng, R. Xu, A.S. Sani, Y. Yang); and 'Cyber security framework for Internet of Things-based Energy Internet' (2019, co-authored with A.S. Sani, J. Jin, L. Gao, S. Yu, Z.Y. Dong).

In his career at the University of Sydney, Yuan contributes to the Software Engineering Research Group and supervises research students on topics such as analysis of wearable camera images. His publications appear in prestigious venues, demonstrating impact on optimizing resource allocation, data management, and security in distributed systems for scientific and IoT applications. Yuan's verified Google Scholar profile confirms his affiliation and extensive scholarly output.