Research Interests

• Computational Intelligence

• Data-Driven Optimization and Surrogate-Assisted Evolutionary Algorithm

• Adversarial Attack and Defense

• Trustworthy AI

• Real-World Applications

Education

• 2006–2010: Bachelor of Engineering, School of Electronic Engineering, Xidian University, Xi’an. China

• 2010–2015: Doctor of Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an. China

Work Experiences

• 2018-now: Professor, School of Artificial Intelligence, Xidian University, China

• 2015–2018: Research Fellow, Department of Computer Science, University of Surrey, UK. Funded by an EPSRC grant (No. EP/M017869/1) on “Data-driven surrogate-assisted evolutionary fluid dynamic optimisation”.

Visiting Experiences

• 2012–2013: Visiting Student, CERCIA, University of Birmingham, UK. Funded by an EU FP7 IRSES grant (No.247619) on “Nature Inspired Computation and its Applications (NICaiA)”.

• 2016/8: Visiting Staff, Optimization Group, University of Jyvaskyla, Finland.Funded by FiDiPro Project DeCoMo: "Decision Support for Complex Multiobjective Optimization Problems''.

Research Grants

• 2024/1-2027/12:National Natural Science Foundation of China, Surrogate-assisted evolutionary optimization for adversarial attack and defence (PI).

• 2020/1-2023/12:National Natural Science Foundation of China, Small data-driven evolutionary robust optimization (PI).

• 2015/12-2016/5:Honda Research Institute Europe, Preference modeling and articulation in multi-objective optimization and decision-making (CI).

• 2017/4-2018/3: NHS Endowment Research Grant, Modelling and optimizing complex aeromedical retrieval systems: a pilot study (CI).