工学博士，统计学博士后，硕士研究生导师，主要从事人工智能、工业大数据分析及机器视觉方面的研究，主要用于汽车零部件制造、质量管理及节能优化等领域。发表SCI论文10篇（中科院分区1区2篇，TOP 3篇），主持或主要参与科研项目7项。
主讲本科生课程《人工智能技术及其应用》、《智能工厂规划设计》、《AR与VR技术与实践》、《数据库应用技术》、及《计算机控制系统综合实验》，研究生课程《质量与可靠性管理》。
1. Reinforcement learning guided auto-select optimization algorithm for feature selection[J]. Expert Systems with Applications, 2025, 268: 126320.（1区，TOP）
2. Modified hybrid bat algorithm with genetic crossover operation and smart inertia weight for multilevel image segmentation[J]. Applied soft computing, 2020, 90: 106157.（1区，TOP）
3. Improved salp swarm algorithm based on Newton interpolation and cosine opposition-based learning for feature selection[J]. Mathematics and Computers in Simulation, 2024, 219: 544-558.(2区，TOP)
4. Probe mechanism based particle swarm optimization for feature selection[J]. Cluster Computing, 2024, 27(6): 8393-8411.
5. Grasshopper optimization algorithm with principal component analysis for global optimization[J]. The Journal of Supercomputing, 2020, 76(7): 5609-5635.
6. An improved bat algorithm and its application in multi-level image segmentation[J]. Journal of Intelligent & Fuzzy Systems, 2019, 37(1): 1399-1413.
7. A multi-level image thresholding approach using Otsu based on the improved invasive weed optimization algorithm[J]. Signal, Image and Video Processing, 2020, 14(3): 575-582.
8. Improved Hybrid Bat Algorithm with Invasive Weed and Its Application in Image Segmentation[J]. Arabian Journal for Science and Engineering, 2019, 44(11): 9221-9234.
9. A novel industrial image contrast enhancement technique based on an improved ant lion optimizer[J]. Arabian Journal for Science and Engineering, 2021, 46: 3235-3246.
10. A Hybrid Grasshopper Optimization Algorithm With Invasive Weed for Global Optimization[J]. IEEE Access, 2020, 8: 5928-5960.
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