Xiaohan Tu | Artificial Intelligence | Women Researcher Award

Published on by Shen Awards

Prof. Xiaohan Tu | Artificial Intelligence | Women Researcher Award

Zhengzhou Police University, China

Dr. Xiaohan Tu is an accomplished researcher and educator in computer science, currently serving as an Associate Professor at Zhengzhou Police University, China. She earned her M.Sc. (2017) and Ph.D. (2021) degrees in Computer Science and Technology from Hunan University, Changsha, China, where she developed strong expertise in cyber-physical systems, computer vision, and machine learning. In her professional career, Dr. Tu has demonstrated outstanding academic leadership, having successfully led four provincial and ministerial-level research projects and six departmental-level projects, while also contributing as a participant in the National Natural Science Foundation of China project on Smart Inspection Robots for catenary systems. Her research interests span applied artificial intelligence, deep learning, computer vision, robotics, and intelligent security technologies, with more than 23 publications indexed in IEEE and Scopus, earning 224 citations and an h-index of 9. She possesses strong research skills in algorithm optimization, feature extraction, LiDAR and point cloud analysis, monocular depth estimation, and real-time AI deployment on embedded and edge devices. Alongside research, she has compiled a provincial-level textbook and shown exceptional dedication to student mentorship, guiding her students to win 17 national awards, 58 provincial or ministerial awards, and 8 university-level awards in robotics, artificial intelligence, and Ministry of Education Category A competitions. Dr. Tu’s outstanding contributions have been recognized with multiple honors, including first prize in university-level teaching achievement, Outstanding Instructor awards for four consecutive years at the China Robot and Artificial Intelligence Competition, and the Outstanding Organization Award from the National Video Investigation Technology and Special Photography Professional Committee. Additionally, she serves as a reviewer for several prestigious IEEE journals, further underlining her professional recognition in the international research community. In conclusion, Dr. Xiaohan Tu’s exceptional academic qualifications, innovative research outputs, mentorship achievements, and professional honors establish her as a highly influential scholar with strong potential to advance AI-driven cyber-physical systems and intelligent security applications at both national and international levels.

Profile: Scopus

Featured Publication

  1. Tu, X., Yang, L. T., Liu, S., & Li, R. (2024). Accelerated feature extraction and refinement for improved aerial scene categorization. IEEE Transactions on Geoscience and Remote Sensing, 62, 1–17.

  2. Tu, X., Zhang, C., Liu, S., Xu, C., & Li, R. (2023). Point cloud segmentation of overhead contact systems with deep learning in high-speed rails. Journal of Network and Computer Applications, 216, 103671.

  3. Tu, X., Zhang, C., Zhuang, H., Liu, S., & Li, R. (2024). Fast drone detection with optimized feature capture and modeling algorithms. IEEE Access, 12, 108374–108388.

  4. Liu, S., Tu, X., Xu, C., & Li, R. (2022). Deep neural networks with attention mechanism for monocular depth estimation on embedded devices. Future Generation Computer Systems, 131, 137–150.

  5. Liu, S., Yang, L. T., Tu, X., Li, R., & Xu, C. (2022). Lightweight monocular depth estimation on edge devices. IEEE Internet of Things Journal, 9(17), 16168–16180.

Yunxiang Lu | neural network dynamics | Best Researcher Award

Published on by Shen Awards

Dr. Yunxiang Lu | neural network dynamics | Best Researcher Award 

at Nanjing University of Posts and Telecommunications, China.

Dr. Yunxiang Lu is an accomplished scholar in Control Science and Engineering, currently pursuing a combined Master and Ph.D. program at the College of Automation and Artificial Intelligence at Nanjing University of Posts and Telecommunications, China. His research focuses on nonlinear dynamic systems, bifurcation theory, and the application of control systems in ecological and biological networks. Throughout his academic career, Yunxiang has demonstrated his proficiency through numerous publications in high-impact journals and participation in prestigious conferences. His work contributes significantly to the understanding of neural networks, eco-epidemiological systems, and cyber-physical systems. In addition, Yunxiang has industry experience as a technical engineer, applying advanced control theories in real-world projects like smart factories powered by 5G technology.

Profile

Scopus

ORCID

Education 

Yunxiang Lu is currently pursuing a combined Master and Ph.D. degree in Control Science and Engineering at Nanjing University of Posts and Telecommunications. His studies cover diverse areas such as matrix theory, bifurcation of nonlinear dynamic systems, and adaptive control. Throughout his education, Yunxiang has excelled in courses like Image Analysis and Understanding, Nonlinear Systems and Chaos Control, and Optimization Methods, reflecting his deep understanding of advanced control theories. His exceptional academic performance includes top grades in Matrix Theory (100), Linear System Theory (95), and Image Analysis and Understanding (95), indicating his strong analytical and mathematical capabilities. His educational background equips him to analyze complex networks and systems, which are fundamental to his research in ecological competition networks and neural systems.

Experience 

Yunxiang Lu has gained practical experience through his role as an IT Technical Engineer at China Telecom Corporation’s Nanjing Branch. In this position, he contributed to the 5G+MEC smart factory project, where he applied his knowledge in telecommunications and control systems to enhance smart factory operations. Yunxiang participated in developing a 5G+MEC virtual private network, integrating 5G wireless scanning guns and machine vision systems, which underscores his ability to apply cutting-edge technologies in real-world environments. In academia, Yunxiang presided over the Postgraduate Research and Practice Innovation Program of Jiangsu Province, leading research on bifurcation control in fractional-order ecological networks. His ability to balance academic research with practical engineering projects reflects his diverse expertise and versatility.

Research Interests 

Yunxiang Lu’s research is primarily focused on control theory, bifurcation dynamics, and ecological and biological systems. He is particularly interested in the dynamical behavior of complex networks, such as ecological competition networks and neural networks, under various influences like fractional orders and time delays. His work explores how network topology and control strategies affect the stability and evolution of these systems. Yunxiang has also ventured into cyber-physical systems, investigating tipping points and bifurcation mechanisms in networks. His research aims to develop optimized control strategies for managing the dynamics of anomalous diffusion systems, which include neural networks and ecological competition networks, contributing to both theoretical advancements and practical applications in system stability and control.

Awards 

Yunxiang Lu has received multiple prestigious awards for his academic excellence. In 2022, he was honored as an Excellent Graduate by Nanjing University of Posts and Telecommunications, a reflection of his outstanding performance throughout his Ph.D. program. He was also recognized as an Excellent Postgraduate in both 2021 and 2020, receiving second prizes in the university’s Postgraduate Academic Scholarship competition during those years. These accolades underscore his dedication to academic success and research excellence. Yunxiang’s continuous recognition over the years highlights his consistency and high academic standards, making him a standout student in the College of Automation and Artificial Intelligence.

Publications 

Dr. Yunxiang Lu has contributed extensively to high-impact research in nonlinear systems and control theory. His key publications include:

 

  1. “Stability and bifurcation exploration of delayed neural networks with radial-ring configuration and bidirectional coupling”, IEEE Transactions on Neural Networks and Learning Systems, 2023, in press.
    • Cited by: 10
  2. “A delayed eco-epidemiological competition network with reaction-diffusion terms: Tipping anticipation”, Applied and Computational Mathematics, 2023, accepted.
    • Cited by: 7
  3. “Hybrid control synthesis for Turing instability and Hopf bifurcation of marine planktonic ecosystems with diffusion”, IEEE Access, 2021, 9: 111326-111335.
    • Cited by: 15
  4. “Hopf bifurcation of biological competition network with independent non-cross propagation characteristics”, Complex System and Complexity Science, 2022, 19(1): 1-11.
    • Cited by: 5

Conclusion

Yunxiang Lu, Ph.D., is a strong candidate for the Best Researcher Award, given his extensive contributions to the fields of control science, nonlinear systems, and neural network modeling. His technical expertise, research leadership, and publication record in high-impact journals demonstrate his commitment to advancing scientific knowledge. With a focus on expanding his research’s practical and interdisciplinary impact, he would be a highly deserving recipient of this award.