Dan Yongping

Release Date:2026-07-08 click:[]

Dan Yongping is a professor, master's supervisor, and Vice Dean of the School of Integrated Circuits. He received his Ph.D. in Engineering from Huazhong University of Science and Technology in 2008. He has participated in two National Natural Science Foundation projects, one major international cooperation project of the Ministry of Science and Technology, and six provincial research projects as project leader or participant. He has received two Third Prizes of the Henan Science and Technology Progress Award and two First Prizes of the provincial Department of Education Scientific and Technological Achievement Award. He was named an Advanced Individual in Professional Ethics for Teachers in Henan in 2013, an Outstanding Communist Party Member of Henan Higher Education Institutions in 2016, and a Distinguished Teacher of Zhongyuan University of Technology and Teaching Master of Henan Province in 2023.

He is the second person in charge of the national first-class online course Analog Electronics, leader of the Henan first-class online undergraduate course Electrotechnics, and leader of the provincial model course for curriculum-based ideological and political education Analog Electronics. Under his supervision, students have won five national first prizes and three national second prizes in the National Undergraduate Electronic Design Contest, five national awards in the National Undergraduate Intelligent Vehicle Contest, and one national third prize, two Central China regional first prizes, and four regional second prizes in the China Graduate Electronic Design Contest. He has three national invention patents and has published more than 20 SCI-, EI-, Chinese core-journal- and CN-indexed papers as first author.

Undergraduate courses taught: Analog Electronics, Digital Electronics, and Electrotechnics. Graduate course taught: Embedded Systems.

Education and Work Experience:

  1. July 1996–August 2002: Worked at the Aviation Industry Research Institute No. 613

  2. September 2002–June 2005: Master's degree in Measurement and Instrumentation, School of Physical Engineering, Zhengzhou University

  3. September 2005–December 2008: Ph.D. in Microelectronics and Solid-State Electronics, Department of Electronic Science and Technology, Huazhong University of Science and Technology

  4. April 2009–present: Faculty member, Zhongyuan University of Technology

Research Directions:

1. Embedded systems and applications

2. Textile testing instruments and automation devices

3. FPGA implementation for high-performance computing

4. Deep spiking neural networks and brain-inspired computing

Academic Research Projects:

1. 2014 Key Project of the Henan Provincial Department of Education: Online Filament Defect Detection System for High-End Nylon 66 Industrial Yarn

2. Henan Science and Technology Research Project: Development of a Detection Mechanism and System for Filament Defects in Industrial Raw Yarn

3. Henan Science and Technology Research Project: Research on Deep Spiking Neural Networks Based on Dynamic-Threshold Spiking Neurons and Population Coding

4. Industry-sponsored project: Development of a Greige Fabric Inspection System, RMB 620,000

5. Industry-sponsored project: Research and Application of UAV-Based Intelligent Reservoir-Area Security Inspection Technology Using 5G Positioning, RMB 280,000

6. Industry-sponsored project: Power Conversion Training System, RMB 165,000

7. Industry-sponsored project: High-Precision Multifunctional Series Intelligent Dynamic Balancing Electrical Tester, RMB 100,000

Awards:

1. 2023, Intelligent Cloud-Based Environmental Control System for Large-Scale Farms, Third Prize of the Henan Science and Technology Progress Award, ranked second.

2. 2020, Intelligent Lubrication System for Curved Train Wheel–Rail Motion, Third Prize of the Henan Science and Technology Progress Award, ranked fifth.

3. Development of an Intelligent Dynamic Weighing System for Loaders, First Prize of the Department of Education Scientific and Technological Achievement Award, 2013.

4. Second Prize of the Provincial Outstanding Natural Science Academic Paper Award, 2011.

Representative Papers:

1. Yongping Dan, Changhao Sun, Hengyi Li, Lin Meng. Adaptive spiking neuron with population coding for a residual spiking neural network. Applied Intelligence, (2025) 55: 288.

2. Yongping Dan, Zhida Wang, Hengyi Li, Jintong Wei. Sa-SNN: spiking attention neural network for image classification. PeerJ Computer Science, 2024.

3. Yongping Dan, Weishou Jin, Xuebin Yue, Zhida Wang. Enhancing medical image segmentation with a multi-transformer U-Net, PeerJ, 2024.

4. Yongping Dan, Weishou Jin, Zhida Wang, Changhao Sun. Optimization of U-shaped pure transformer medical image segmentation network, PeerJ Computer Science, 2023.

5. Yongping Dan, Zhuo Li. Particle Swarm Optimization-Based Convolutional Neural Network for Handwritten Chinese Character Recognition, Journal of Advanced Computational Intelligence and Intelligent Informatics, 2023, 27(2): 165–172.

6. Yongping Dan, Zongnan Zhu, Weishou Jin, Zhuo Li. S-Swin Transformer: simplified Swin Transformer model for offline handwritten Chinese character recognition, PeerJ Computer Science, 2022.

7. Yongping Dan, Yifei Ge, Aihui Wang, Zhuo Li. Human-Gait-Based Tracking Control for Lower Limb Exoskeleton Robot, Journal of Robotics and Mechatronics, 2022, 34(3): 615–621.

Representative Works and Achievements:

1. Authorized invention patent: Dan Yongping, Zhang Wuyi, Geng Shiyong, Wang Dongyun, Wen Shengjun, Li Hengyi, Yue Xuebin, Luo Dongdong; Industrial Raw Yarn Filament Defect Detection Device and Detection Method, November 24, 2017, China, ZL201510754533.3.

2. STM32 Cortex-M4 Microcontroller: Principles and Application Tutorial, Harbin Institute of Technology Press.

3. TMS320F28335: Principles and Applications in Electrical Engineering, Publishing House of Electronics Industry.

4. Research on Deep Learning Theory and Its Application to Offline Handwritten Chinese Character Recognition, Harbin Institute of Technology Press.

Contact:

Email: 6100@zut.edu.cn











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