Maolin Tang

Dr. Maolin Tang is a Senior Lecturer in the School of Computer Science at Queensland University of Technology (QUT). He holds a PhD in Engineering from Edith Cowan University, a Master of Engineering in Computer Science from Chongqing University, and a Bachelor of Engineering in Computer Software from Huazhong University of Science and Technology. His research focuses on Big Data Cloud Computing, Energy-Efficient Data Centres, QoS-Aware Web Service Composition, and SaaS Optimization in the Cloud. Dr. Tang’s work addresses challenges such as MapReduce computation in dynamic cloud environments, energy efficiency in data centres, and composite service optimization. He has supervised numerous PhD students and published extensively in top-tier journals like IEEE Transactions on Industrial Electronics and Expert Systems with Applications. His research combines evolutionary computation techniques, genetic algorithms, and optimization strategies to solve complex computational problems.

• Education:
  • PhD (Engineering), Edith Cowan University
  • Master of Engineering (Computer Science), Chongqing University
  • Bachelor of Engineering (Computer Software), Huazhong University of Science and Technology

Dr. Tang’s research interests emphasize energy-efficient data centre management, cloud resource provisioning, and the application of computational intelligence to real-world challenges. His work on MapReduce in cloud computing aims to improve scalability and QoS guarantees, while his energy-efficient frameworks reduce operational costs and environmental impact. He is actively involved in supervising PhD students and collaborating on projects funded by initiatives like CRC for Smart Services.

His publications span topics such as virtual machine placement optimization, SaaS deployment, and algorithmic approaches to dynamic resource management. Dr. Tang teaches advanced courses in algorithms and computational complexity at both undergraduate and postgraduate levels.