Bing Wang

Dr Bing Wang is a Research Associate at UNSW Canberra under the School of Engineering and Technology. His work focuses on developing advanced optimization algorithms for computationally expensive problems, particularly in multi-objective bilevel optimization and evolutionary computation. He has published extensively on hypervolume-based infill criteria, surrogate modeling, and solution transfer strategies.

Current research emphasizes

• Creating resource-efficient algorithms for bilevel optimization problems
• Exploiting variable associations to enhance evolutionary algorithm performance
• Integrating kriging-based methods with classical optimization criteria

His publication record spans high-impact venues like Soft Robotics, IEEE Access, and Complex and Intelligent Systems, with a strong focus on applying computational intelligence to real-world engineering and data science challenges. Collaboration networks include researchers like Himanshu Kumar Singh and Tapabrata Ray.