Professor at Hebei University, China
Professor Xiaobing Yan is a distinguished academic at Hebei University, serving as a professor and doctoral supervisor in the School of Electronic and Information Engineering. He holds senior memberships in both the IEEE Association of America and the China Electronics Society. Additionally, he is the director of the China Youth Association for Science and Technology. His exemplary contributions to the field have been recognized through numerous national and provincial honors.
🔹Professional Profile:
Scopus Profile
🎓Education Background
Professor Yan earned his Ph.D. from Nanjing University in 2011. Following his doctoral studies, he expanded his research horizons as a Research Fellow at the National University of Singapore from 2014 to 2016. Currently, he is affiliated with the Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province.
💼 Professional Development
At Hebei University, Professor Yan holds multiple leadership roles:ceie.hbu.cn
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Vice Dean of the School of Electronic and Information Engineering
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Deputy Director of the Innovation and Entrepreneurship Center
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Deputy Secretary of the Baoding Youth League Committee
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Vice Chairman of the Baoding Youth Federationceie.hbu.cn
He has led over ten national and provincial research projects, including initiatives under the National Natural Science Foundation of China and the Chinese Academy of Sciences. His prolific research output includes more than 40 national invention patent applications, with 29 patents granted, and one U.S. patent application.
🔬Research Focus
Professor Yan’s research is centered on neuromorphic computing and memristor technology. His work delves into the development of ferroelectric memristors, exploring their applications in artificial synaptic plasticity, multilevel storage, and neuromorphic computing. Notable studies include the design of HfAlO-based ferroelectric memristors and silicon-based epitaxial structures for high-temperature operations.
📈Author Metrics:
Professor Yan’s scholarly contributions are well-documented across various academic platforms:
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ResearchGate: His profile showcases a range of publications and collaborative projects.
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Scopus: His author ID is 26325168700, providing access to his indexed publications and citation metrics.
🏆Awards and Honors:
Professor Yan’s excellence in research and academia has been recognized through several prestigious awards:
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Young Scholar of the National Major Talent Project
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Top Young Talent of the “Ten Thousand Talents Plan” by the Central Organization Department
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Huo Yingdong Young Teacher Award from the Ministry of Education
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May 4th Medal of Hebei Youth
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Second Level of the 333 Talents Project in Hebei
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Outstanding Youth of Hebei Province
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Top-Notch Young Talent of Hebei Province
📝Publication Top Notes
1. Physical Unclonable In-Memory Computing for Simultaneous Protecting Private Data and Deep Learning Models
Authors: Yue Wenshuo, Wu Kai, Li Zhiyuan, Huang Ru, Yang Yuchao
Journal: Nature Communications, 2025
Summary:
This study presents a breakthrough in physical unclonable functions (PUFs) embedded within in-memory computing architectures. These devices can both process and protect private data as well as secure deep learning models from theft or inversion. It advances the convergence of hardware-level security and neuromorphic computing.
2. Memristor-Based Feature Learning for Pattern Classification
Authors: Shi Tuo, Gao Lili, Tian Yang, Yan Xiaobing, Liu Qi
Journal: Nature Communications, 2025
Citations: 1
Summary:
This article explores the use of memristors to implement unsupervised feature extraction and pattern classification, mimicking biological neural systems. It demonstrates efficient energy usage and reduced training times, making it viable for edge computing and neuromorphic systems.
3. In Situ Training of an In-Sensor Artificial Neural Network Based on Ferroelectric Photosensors
Authors: Lin Haipeng, Ou Jiali, Fan Zhen, Gao Xingsen, Liu Junming
Journal: Nature Communications, 2025
Citations: 3
Summary:
This paper introduces a ferroelectric photosensor-based ANN where training and inference occur within the sensor itself—pioneering a “sense-train-infer” paradigm. This work is a significant stride toward edge AI systems with ultra-low latency and power consumption.
4. Ultra Robust Negative Differential Resistance Memristor for Hardware Neuron Circuit Implementation
Authors: Pei Yifei, Yang Biao, Zhang Xumeng, Li Shushen, Yan Xiaobing
Journal: Nature Communications, 2025
Citations: 1
Summary:
The research proposes a memristor device exhibiting negative differential resistance (NDR) for reliable hardware-based spiking neuron circuit implementation. This contributes to the development of stable and robust neuromorphic hardware platforms for AI.
5. Nanoscaffold Ba₀.₆Sr₀.₄TiO₃:Nd₂O₃ Ferroelectric Memristors Crossbar Array for Neuromorphic Computing and Secure Encryption
Authors: Zhang Weifeng, Xu Jikang, Wang Yongrui, Qi Yincheng, Yan Xiaobing
Journal: Journal of Materiomics, 2025
Citations: 0
Summary:
This study focuses on a ferroelectric memristor array using nanoscaffold BST:Nd₂O₃ structure for simultaneous neuromorphic computing and encryption. It highlights its potential for energy-efficient AI hardware with integrated security features.
.Conclusion:
Professor Xiaobing Yan demonstrates excellence across all key award criteria: scientific innovation, research productivity, technological impact, and academic leadership. His work is both foundational and applied, addressing critical challenges in neuromorphic computing and secure AI systems.
Final Verdict: Highly recommended for the Best Researcher Award in Neuromorphic Computing.
His achievements exemplify the fusion of academic brilliance, innovation, and leadership necessary for such a prestigious recognition.