Professor at Shandong Normal University, School of Physics and Electronic, China📖
Dr. Li Tianping is a distinguished second-level professor and doctoral supervisor at Shandong Normal University. Recognized as a mid-aged and young expert with significant contributions in Shandong Province, Dr. Li has established himself as a leading figure in the fields of computer vision, signal and information processing, electronic system design, and computer control strategies. His dedication to scientific advancement and technological innovation has earned him numerous accolades, including the Second-Class Merit as an outstanding science and technology worker in Shandong Province.
Profile
Orcid Profile
Education Background🎓
Dr. Li Tianping pursued his higher education with a focus on engineering and technology. He earned his Bachelor’s and Master’s degrees in Electrical Engineering from prestigious institutions, followed by a Doctorate in Computer Science from a renowned university. His academic journey has been marked by excellence, culminating in his current role as a second-level professor and doctoral supervisor at Shandong Normal University, where he continues to mentor the next generation of engineers and researchers.
Professional Experience🌱
With a robust career spanning over two decades, Dr. Li Tianping has held various academic and leadership positions at Shandong Normal University. As a second-level professor, he has been instrumental in developing the university’s research capabilities in computer vision and electronic system design. Dr. Li also serves as a standing director of the Shandong Automation Society and a standing member of the Education Professional Committee of the Shandong Electronic Society. His role as a doctoral supervisor has seen him guide numerous Ph.D. candidates to successful completions, fostering innovation and excellence in research.
Dr. Li’s research primarily focuses on the theory and application of computer vision, exploring its vast potential in various technological domains. He delves into signal and information processing, aiming to enhance the accuracy and efficiency of data interpretation. His work in electronic system design seeks to innovate and optimize electronic components and systems for better performance. Additionally, Dr. Li is passionate about developing advanced computer control strategies that improve automation and intelligent system functionalities. His interdisciplinary approach bridges gaps between theoretical research and practical applications, driving forward advancements in technology and engineering.
Author Metrics
Publications Top Notes 📄
1. Refined Division Features Based on Transformer for Semantic Image Segmentation
- Author: Tianping Li (along with Yanjun Wei, Meilin Liu, Xiaolong Yang, Zhenyi Zhang, Jun Du, Mohammad R. Khosravi)
- Publication: International Journal of Intelligent Systems
- Date: January 2023
- DOI: 10.1155/2023/6358162
- Overview:
This paper introduces a novel approach integrating refined division features and transformer-based architectures to enhance semantic image segmentation. The proposed method addresses challenges in accuracy and efficiency for processing complex image datasets.
2. Multiple Feature Fusion‐Based Video Face Tracking for IoT Big Data
- Author: Tianping Li (with Zhifeng Liu, Jiayu Ou, Wenxiao Huo, Yejin Yan)
- Publication: International Journal of Intelligent Systems
- Date: December 2022
- DOI: 10.1002/int.22702
- Overview:
This study presents a cutting-edge video face tracking algorithm designed for IoT big data applications. By employing multiple feature fusion, the work enhances tracking performance in real-time scenarios.
3. An Improved Kernel Correlation Filter for Complex Scenes Target Tracking
- Author: Tianping Li (with Wenxiao Huo, Yejin Yan, Maoxia Zhou)
- Publication: Multimedia Tools and Applications
- Date: June 2022
- DOI: 10.1007/s11042-022-12669-7
- Overview:
This paper proposes an improved kernel correlation filter technique to address challenges like occlusion and background interference in complex scene target tracking. The study achieves enhanced reliability in dynamic environments.
4. Improved SiamFC Target Tracking Algorithm Based on Anti-Interference Module
- Author: Tianping Li (with Yejin Yan, Wenxiao Huo, Jiayu Ou, Zhifeng Liu, Chao Wang)
- Publication: Journal of Sensors
- Date: February 10, 2022
- DOI: 10.1155/2022/2804114
- Overview:
This research improves the SiamFC target tracking algorithm by incorporating an anti-interference module. The enhancement significantly increases robustness against distractions in video tracking applications.
5. Detail 3D Face Reconstruction Based on 3DMM and Displacement Map
- Author: Tianping Li (with Hongxin Xu, Hua Zhang, Honglin Wan, Aijun Yin)
- Publication: Journal of Sensors
- Date: January 2021
- DOI: 10.1155/2021/9921101
- Overview:
This paper delves into detailed 3D face reconstruction using 3D Morphable Models (3DMM) and displacement maps, providing a high-precision approach to modeling intricate facial features.
6. Implementation of Camshift Target Tracking Algorithm Based on Hybrid Filtering and Multifeature Fusion
- Author: Tianping Li (with Sijie Du, Hongxin Xu, Manuel Aleixandre)
- Publication: Journal of Sensors
- Date: November 25, 2020
- DOI: 10.1155/2020/8846977
- Overview:
This study implements the Camshift target tracking algorithm enhanced by hybrid filtering and multifeature fusion, showcasing significant improvements in tracking performance under dynamic conditions.
Conclusion
Dr. Tianping Li’s exceptional contributions in computer vision and electronic systems design, coupled with his patents and mentorship, make him an outstanding candidate for the Best Researcher Award. His ability to blend theoretical advancements with practical innovations has already garnered regional and national recognition. By expanding his global footprint and public engagement, Dr. Li can further amplify his influence and solidify his status as a leading figure in his field.