Jianli Wang
Jianli Wang is Professor in the School of Mechanical Engineering, Southeast University; Ph.D. and master’s supervisor. Department: Design Science.
Biography
His research covers test-system development and sensing, machine learning, and energy-system optimization. He received his B.S. from Xi’an Jiaotong University (Energy and Power Engineering, 2005) and Ph.D. from Tsinghua University (Power Engineering and Engineering Thermophysics, 2010), then joined Southeast University. He visited Caltech (2012) and Purdue (2014). He received the First Prize for Outstanding Doctoral Dissertation of Tsinghua University (2010) and a nomination for the National 100 Outstanding Doctoral Dissertations (2014). He has led four NSFC projects and industry collaborations with Sinopec, Dongfang Electric, Kunming Institute of Physics and others.
Research interests
Test-system development and sensing; intelligent analysis and inspection; energy-saving system design and optimization.
Education and experience
- 2005, B.S., School of Energy and Power Engineering, Xi’an Jiaotong University
- 2010, Ph.D., School of Aerospace Engineering, Tsinghua University (Power Engineering and Engineering Thermophysics)
- 2010–present, Lecturer / Associate Professor / Professor, School of Mechanical Engineering, Southeast University
- Sep 2012 – Feb 2013, Caltech, collaborative research on thermoelectric materials
- Oct 2013 – Oct 2014, Purdue University, Mechanical Engineering, thermoelectric thin films
Professional service
- Council member, Chinese Society for Micro/Nano Measurement and Instrumentation
- Committee member, Thermal Properties Committee, Chinese Society for Measurement
- Young committee member, Shanghai Thermal Properties Big-Data Service Center
- Committee member, Marine Power Division, Chinese Society of Naval Architects and Marine Engineers
- Editorial board member, Acta Metrologica Sinica
- Reviewer for NSFC
Selected joint papers with this group
- Y Zhang, H Zeng, C Su, J Yang, J Zhu, Jianli Wang*, Lightweight Vision Transformer for Real-Time Threat Level Assessment in Φ-OTDR-Based Pipeline Monitoring, Applied Sciences 2026, 16 (3), 1664
- J Yang, J Xie, X Gao, K Fu, J Zhu, Jianli Wang*, Synthetic Magnetic Flux Leakage Signal Generation Using Diffusion Models: A Novel Approach to Improve Pipeline Defect Detection Accuracy, Journal of Pipeline Science and Engineering, 2025, 100363
- Saifei Ma, Tiantian Zhang, Haibo Wang, Haoyu Wang, Nan Li, Haiwen Zhu, Jianjun Zhu, Jianli Wang*, Transformer-Based Forecasting for High Frequency Natural Gas Production Data, Energy and AI, 2025, 21:100535
- Jialiang Xie, Jie Yang, Kuan Fu, Linxi Tai, Xia Wang, Jianjun Zhu, Wang J L*, Quantitative Assessment of Pipeline Defects Utilizing a Dual-Stage Deep Learning Framework: Integration of Pretrained YOLO Network and Multi-input Parallel Convolution Architectures on Magnetic Flux Leakage Data, Journal of Pipeline Science and Engineering, 2025, 100282
- Jiang QM, Zhang Y H, Liu Y, Xu R, Zhu J J, Wang J L*. Structural optimization of serpentine channel water-cooled plate for lithium-ion battery modules based on multi-objective Bayesian optimization algorithm. Journal of Energy Storage 2024, 91: 112136
Full publication list: Google Scholar.
Email: wangjianli@seu.edu.cn (public on faculty page)