Jianchao Zeng

Jianchao Zeng is affiliated with North University of China's Department of Computer Science and Control Engineering, and also associated with Taiyuan University of Science and Technology's Complex System and Computational Intelligence Laboratory. His research focuses on reliability engineering, optimization, machine learning, and image processing. He has collaborated extensively on projects involving maintenance modeling, evolutionary algorithms, and medical imaging analysis.

• Affiliations: North University of China, Taiyuan University of Science and Technology

Key research interests include reliability engineering (predictive maintenance, degradation modeling), optimization techniques (surrogate-assisted algorithms, swarm intelligence), and medical image processing (radiomics, segmentation). His recent work emphasizes interdisciplinary applications in reliability systems, remote sensing, and healthcare.

Publications highlight contributions to maintenance optimization frameworks, deep learning models for image analysis, and hybrid algorithms combining evolutionary computation with machine learning. Notably, his work on remaining useful life prediction and radiomics-enhanced segmentation addresses critical challenges in industrial and medical domains.