1.Dr.Nan Jin (Professor)

(1) Biography

Nan Jin (Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from the Zhengzhou University of Light Industry, Zhengzhou, China, in 2003 and 2007, respectively, and the Ph.D. degree in power electronics and electrical drives from Shanghai Jiao Tong University, Shanghai, China, in 2012. He was a Visiting Professor with the Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA.

He is currently a Professor in Electrical Engineering with the Zhengzhou University of Light Industry. He has authored or coauthored more than 150 technical papers in journals and conference proceedings, two books, and holds more than 40 Chinese patents. His research interests include model predictive control method for power converter, fault diagnosis, and tolerant control of power electronics system. Dr. Jin was the recipient of the Highlighted Paper Award from IEEE TPEL.

(2) Contact Information

Email: jinnan@zzuli.edu.cn

Affiliation: College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

(3) Research Areas

1) Model predictive control of power converter

2) Virtual synchronous generator controlmethods

3) Fault diagnosis and fault-tolerant control of power converters

(4) Representative Publications

[1] N. Jin, S. Hu, C. Gan and Z. Ling, "Finite States Model Predictive Control for Fault-Tolerant Operation of a Three-Phase Bidirectional AC/DC Converter Under Unbalanced Grid Voltages," in IEEE Transactions on Industrial Electronics, vol. 65, no. 1, pp. 819-829, Jan. 2018.

[2] N. Jin, H. Li, Z. Wang and L. Guo, "Visualization Analysis based Optimization Virtual Vectors Model Predictive Control Strategy for Grid-Connected Converter," in IEEE Journal of Emerging and Selected Topics in Power Electronics, doi: 10.1109/JESTPE.2025.3645775.

[3] N. Jin, M. Chen, L. Guo, Y. Li and Y. Chen, "Double-Vector Model-Free Predictive Control Method for Voltage Source Inverter With Visualization Analysis," in IEEE Transactions on Industrial Electronics, vol. 69, no. 10, pp. 10066-10078, Oct. 2022.

[4] N. Jin, C. Gan and L. Guo, "Predictive Control of Bidirectional Voltage Source Converter With Reduced Current Harmonics and Flexible Power Regulation Under Unbalanced Grid," in IEEE Transactions on Energy Conversion, vol. 33, no. 3, pp. 1118-1131, Sept. 2018.

[5] N. Jin,L. Guo, C. Gan,S. Hu, Z. Dou, "Finite-state model predictive power control of three-phase bidirectional AC/DC converter under unbalanced grid faults with current harmonic reduction and power compensation,"IET Power Electronics, vol. 11, no. 2, pp. 348-356,Feb. 2018.

2. Dr. Xiaoliang Yang (AssociateProfessor)

(1) Biography

Xiaoliang Yang was born in Hebei, China, in 1980. He received his B.S. and M.S. degrees in electrical engineering in 2003 and 2009 from Zhengzhou University of Light Industry, Zhengzhou, China, and the Ph.D. degree in control science and engineering in 2021 from Hunan University, Changsha, China. He is currently an Associate Professor in Electrical Engineering with Zhengzhou University of Light Industry. His current research interests include wind power turbine control and motor control.

(2) Contact Information

Email: yangxiaoliang@zzuli.edu.cn

Affiliation: College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

(3) Research Areas

1) Wind turbine generator control under grid disturbances

2) Drive and control of induction motors & permanent magnet synchronous motors under special operating conditions

3) Renewable energy integration and optimization

(4) Representative Publications

[1] Xiaoliang Yang; Jihao Zhan; Yongpeng Shen; Pu Liu; Leilei Guo; Zhiyan Zhang, "Parameter Identification for SPMSM Based on a Superior ROA," in IEEE Transactions on Power Electronics, vol. 40, no. 6, pp. 7615-7627, June 2025, doi: 10.1109/TPEL.2025.3534412.

[2] Xiaoliang Yang; Zhe Liu; Zhiang Fu; Qi Chen; Haiming Du, "Parameter identification of permanent magnet synchronous motor based on improved Newton-Raphson-based optimizer". in COMPEL, Vol. 44 No. 6 pp. 993–1010,September 2025, doi: 10.1108/COMPEL-05-2025-0217.

[3] Xiaoliang Yang, Yixuan Qin, Jihao Zhan, Yihao Li, Suya Hao and Zhiang Fu. "Direct Power Control of BDFRG Based on Novel Integral Sliding Mode Control". in Recent Advances in Electrical & Electronic Engineering, Vol. 18 No. 9 pp. 1601-1616, January 2025，DOI: 10.2174/0123520965321358240919065812.

3.Dr.Leilei Guo (AssociateProfessor)

(1) Biography

Leilei Guo (Member, IEEE) was born in Henan, China, in 1987. He received the B.S. and Ph.D. degrees in electrical engineering from the School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China, in 2010 and 2016, respectively.He is currently an Associate Professor in electrical engineering with the Zhengzhou University of Light Industry, Zhengzhou, China. He was selected into the young talent promotion plan of Henan province in 2019. He has authored or coauthored more than 100 technical papers in journals and conference proceedings. His current research interests include model predictive control of induction motors, permanent-magnet synchronous motors, and power converters.

(2) Contact Information

Email: 2006guoleilei@163.com

Affiliation: College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

(3) Research Areas

1) Model predictive control of power converter and AC motor

2) Control of open-end winding induction motor

3) Sensorless control of induction motor and permanent magnet synchronous motor

(4) Representative Publications

[1] L. Guo, W. Xu, N. Jin and H. Xiao, "A DC-Offset Removed Sensorless Control Method for PMSM Based on SMO With an Improved Prefilter and a Speed Immune Position Error Compensation Strategy," in IEEE Transactions on Power Electronics, vol. 40, no. 4, pp. 5163-5176, April 2025.

[2] L. Guo et al., "A Virtual-Flux State Observer-Based Inductance Identification Method for Model Predictive Control of Grid-Tied Inverters With a Finite Phase Angle Set-Based PLL," in IEEE Transactions on Industrial Electronics, vol. 70, no. 8, pp. 8009-8021, Aug. 2023.

[3] L. Guo, H. Xiao, Y. Li, C. Yu, H. Xu and K. Luo, "A DC-Offset Reduced Grid-Voltage Sensorless Model Predictive Control Strategy for Grid-Tied Inverters With a Two-Stage Optimal Voltage Vector Searching Method," in IEEE Transactions on Industrial Electronics, vol. 70, no. 4, pp. 3920-3932, April 2023.

[4] L. Guo, M. Chen, Y. Li, P. Wang, N. Jin and J. Wu, "Hybrid Multi-Vector Modulated Model Predictive Control Strategy for Voltage Source Inverters Based on a New Visualization Analysis Method," in IEEE Transactions on Transportation Electrification, vol. 9, no. 1, pp. 8-21, March 2023.

[5] L. Guo, N. Jin, Y. Li and K. Luo, "A Model Predictive Control Method for Grid-Connected Power Converters Without AC Voltage Sensors," in IEEE Transactions on Industrial Electronics, vol. 68, no. 2, pp. 1299-1310, Feb. 2021.

4. Requirements for Prospective International Students

Academic Background:

Bachelor’s degree in Electrical Engineering, Automation, Energy & Power Engineering, or related fieldsfor international graduate students.

Master’s degree in Electrical Engineering, Automation, Energy & Power Engineering, or related fieldsfor international PHD students.

Language Proficiency:

English-taught program: IELTS ≥ 6.0 / TOEFL ≥ 80, or proof of previous English-medium instruction.

Chinese-taught program: HSK Level 4 or above (recommended).

Technical Skills: Basic knowledge of power electronics, motor drives, or renewable energy systems is preferred.

Personal Qualities: Self-motivated, strong analytical skills, and interest in experimental or simulation-based research.

5. Scholarship Opportunity – President Scholarship

Zhengzhou University of Light Industry offers the President Scholarship for outstanding international graduate students, which includes:

Full tuition waiver

Monthly living allowance

Support for participation in academic conferences

Eligible candidates will be automatically considered upon application.

We look forward to welcoming talented students from around the world to join my research team and contribute to the future of sustainable energy systems!

This page is updated as of January 2026. Please feel free to reach out for further details.

Please visit our website for further information: https://en.zzuli.edu.cn/