Background of Education and Work Experience

• Sep,2006---Jun,2010  Chongqing University, Student (B.Eng)

• Sep,2010---Jun,2015  Chongqing University, Student (Ph.D)

• Dec,2015---Sep,2017  Chongqing University, Post-doctor

• Sep,2017---Present   Chongqing University, Lecture

Research Field

• Green Design and Manufacturing

• Intelligent Manufacturing

• Industrial Big Data and Artificial Intelligence

• High Energy Efficiency Manufacturing and Cleaner Production

Research and Honors

1. Selected Research Grants Last 5 Years

• General projects of Chongqing Natural Science Foundation, Intelligent Remanufacturing Process Planning Method Based on Failure Characteristics and Knowledge Reuse 2020.

• National key R & D program, "Manufacturing Basic Technology and Key Components" Key Special Project, Data Collection and Environmental Impact Assessment of Machining Resources and Environmental Load, 2019.

• The International (Regional) Joint Research Program of National Natural Science of China, Low carbon manufacturing with innovative laser processing technologies, 2019.

• Major National Science and Technology Project, "High-end CNC Machine Tools and Basic Manufacturing Equipment", Research and Application of Key Technology for High Efficiency Production Line of Ball Screw Pair, 2017.

• National Science and Technology Project for Young Scholar, Feature-Based Energy Modeling and Optimization for Machining, 2017

• General Program of National Natural Science of China, Cooperative Mechanism and Optimization of Green Multi-edge Hard Dry Cutting Process Performance for Energy Consumption Characteristics, 2016

1. Selected Journal Publication

2. Yan He, Xiaocheng Tian, Yufeng Li*, Yulin Wang, Yan Wang, Shilong Wang. A flexible energy behaviors modeling method for machining the workpiece based on feature technology [J]. Int J Adv Manuf Technol, 2021, 113:2849-2863.

3. Li YF, He Y*, Wang YL*, Tao F, Sutherland JW. An optimization method for energy-conscious production in flexible machining job shops with dynamic job arrivals and machine breakdowns[J]. Journal of Cleaner Production, 2020:120009

4. Li Y, He Y*, Wang Y, et al. A modeling method for hybrid energy behaviors in flexible machining systems[J]. Energy, 2015, 86: 164-174.

5. Li Y, He Y, Wang Y, et al. A framework for characterising energy consumption of machining manufacturing systems. International Journal of Production Research, 2014, 52(2):314-325.

6. Li Y F*, Wang Y L, He Y, et al. Modeling Method for Flexible Energy Behaviors in CNC Machining Systems[J]. Chinese Journal of Mechanical Engineering, 2018, 31(1):6.

7. Yan He, Chuanpeng Hao, Yulin Wang, Yufeng Li*, Yan Wang, Lingyu Huang, Xiaocheng Tian. An Ontology-based Method of Knowledge Modelling for Remanufacturing Process Planning [J]. Journal of Cleaner Production, 2020:120952.

8. Liu, C., He, Y. *, Li, Y., Wang, Y., Wang L., Wang S., Wang, Y. (2020). Predicting residual properties of ball screw raceway in whirling milling based on machine learning. Measurement.

9. He Yan*, Wu Pengcheng, Li Yufeng, Wang Yulin, Tao Fei., Wang Yan. (2020). A generic energy prediction model of machine tools using deep learning algorithms. Applied Energy, 275, 115402.

10. Liu C, Y. He Y*, Wang YL*，Li YF, Wang SL, Wang LX, Wang Y. Effects of process parameters on cutting temperature in dry machining of ball screw. ISA Transactions, 2020,

11. Wang LX, He Y*, Wang YL*, Li YF, Wang SH, Wang Y. Analytical modeling of material removal mechanism in dry whirling milling process considering geometry, kinematics, and mechanics[J]. International Journal of Mechanical Sciences, 2020, 172: 105419.

12. He, Yan*, Wang, Lexiang, Wang, Yulin*, Li, Yufeng, Wang, Shilong, Wang, Yan, Liu, Chao & Hao, Chuanpeng. An analytical model for predicting specific cutting energy in whirling milling process[J]. Journal of Cleaner Production, 2019, 240: 118181.

13. Liu Chao*, He Yan*, Wang Yulin*, Li, Yufeng, Wang, Shilong, Wang, Lexiang, Wang, Yan. An investigation of surface topography and workpiece temperature in whirling milling machining[J]. International Journal of Mechanical Sciences, 2019, 164: 105182.

14. Yan He, Tao Huang, Yan Wang, Yi Nie, YuFeng Li, Yulin Wang, A New Lightweight Design Method Integrating Shape Optimization with Life Cycle Assessment for Extrusion Dies, Journal of Cleaner Production, 2017,150: 47-57, doi: 10.1016/j.jclepro.2017.02.186

15. Yan He*, Yufeng Li, Tao Wu, John W. Sutherland. An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops. Journal of Cleaner Production, 2015, 87:245-254