Xuxiaobin

Xu Xiaobin, male, born in 1980, is from Zhengzhou City, Henan Province. He graduated from Shanghai Maritime University with a Ph.D. in Power Electronics and Power Transmission. He is the Vice Chairman of the Intelligent Decision and Reasoning Professional Committee of the Chinese Association of Automation, Member of the Technical Committee on Fault Diagnosis and Safety in Technical Processes of the Chinese Association of Automation, Member of the Information Fusion Sub-Committee of the Chinese Society of Aeronautics and Astronautics. He is the recipient of the Zhejiang Province Outstanding Young Scientist Fund, Young and Middle-aged Academic Leader in Zhejiang Province, and Zhejiang Province '151' Talent Engineering.

He primarily engages in research on intelligent information fusion, safety and reliability assessment of complex systems, fault diagnosis, and fault prognostics. The main technical issues he addresses are: how to fuse multi-source fault feature information collected from multi-sensor environments in engineering sites, and how to conduct fault detection (industrial alarm system design), fault localization, and identification (safety monitoring system) based on the fusion results. His main theoretical methods include data-based pattern recognition theories and methods, such as Dempster-Shafer (DS) evidence theory, fuzzy reasoning, neural networks, expert systems, etc.

Around the above research content, he has led one Key Research and Development Program of the Ministry of Science and Technology, one National Natural Science Foundation of China (NSFC) Young Scientists Fund, one General Program of the National Natural Science Foundation of China (NSFC), one Key Program of the National Natural Science Foundation of China (NSFC), etc. In recent years, he has published over 140 high-quality academic papers in key academic journals including IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, IEEE Systems Journal, Information Sciences(IS) with more than 80 of these papers being indexed by SCI. He has won two special prizes of Science and Technology Award of China General Chamber of Commerce, one second prize of the Zhejiang Provincial Intellectual Property Award, one second prize of the Science and Technology Progress Award of the China Petroleum and Chemical Industry Federation, one second prize of the China Industry-University-Research Cooperation Innovation and Promotion Award, etc. Under his guidance, 2 students got provincial projects, 5 graduates were awarded provincial outstanding graduates, and 2 doctors graduated on time (both of doctors received National Scholarships).

Research and academic work experience:

(5) from April 2009 to August 2011, Hangzhou Dianzi University, School of Automation, Lecture

Postdoctoral work experience:

(1) from November 2009 to January 2012, Tsinghua University, Department of Automation 

 (1)  Vice Chairman of the Intelligent Decision and Reasoning Professional Committee of the Chinese Association of Automation;

 (2) Member of the Technical Committee on Fault Diagnosis and Safety in Technical Processes of the Chinese Association of Automation;  

 (3) Member of the Information Fusion Sub-Committee of the Chinese Society of Aeronautics and Astronautics;

 (4) National Natural Science Foundation of China (NSFC) Online Review Expert;

 (5) Science and Technology Department Project Review Expert;

 (6) Review Experts of multiple Provincial Science and Technology Projects, Awards and High-tech Enterprises.

(1) Uncertainty Fusion Reasoning and Pattern Recognition;

(2) Swarm Intelligence Optimization and Privacy-Preserving Federated Learning;

(3) Safety Assessment of Complex Industrial Systems Based on Intelligent Information Fusion;

(4) Feature Extraction and Pattern Classification Based on Deep Learning;

(5) Modeling of Intelligent Manufacturing Processes and Equipment States Based on Complex Networks;

(6) Development of Distributed Monitoring Systems for Complex Industrial Systems.

Master degree course:

Uncertain Information Processing, Information Fusion,

Bachelor degree course:

Python, Control System Simulation

(1) Jiaxing Municipal Government Procurement Project: Jiaxing Vocational and Technical College Industrial Internet Training Center (Phase II) Project, 2022 to 2022.

(2) Development of Integrated Process Control Training System, Xinjiang Polytechnic College, 2011 to 2013.

(3) Sino-German Financial, Economic, and Cultural Cooperation Xinjiang Vocational University Sino-German (Xinjiang) Vocational Education and Training Base Information Network Platform and Integrated Information Management Platform Project system, 2017 to 2019.

(5) Urban Road Network Traffic Congestion Pattern Prediction Software System Development, 2015 to 2019.

(6) Development of Nonlinear Controller Software System Based on Belief Rule-Based Expert System, 2016-2017.

(1)  Strategic Science and Technology Innovation Cooperation Project of the National Key Research and Development Program: Construction of China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing and Joint Research on Key Technologies of Intelligent Internet of Things, 2022 to 2025.

(2)   NSFC-Zhejiang Key Support Project for the Integration of Informatization and Industrialization: Information Fusion Methods for Condition Monitoring and Fault Diagnosis of Marine Electric Propulsion System, 2018 to 2021.

(3)   Zhejiang Province Key R&D Program for Proactive Design Projects: Development and Application Demonstration of an Integrated Platform for Landslide Geological Disaster Monitoring, Early Warning, and Prevention, 2019 to 2021.

(4)   Zhejiang Province 'Spearhead' and 'Lead Goose' Research and Development (R&D) Program: Disaster Element Atlas Early Warning and Key Technologies for Navigation Safety Assurance in Typhoon Emergency Passage and Application Demonstration, 2024 to 2026.

(5)  Zhejiang Province Outstanding Youth Fund: Multi-source Evidence Fusion and Decision-making Methods for Fault Prediction and Health Management of High-end Equipment 2020 to 2023

(6)   General Program of National Natural Science Foundation of China: Information Fusion Methods for Belief-Level Fault Prediction of Railway Automatic Block System 2014 to 2017.

(1)  Fault Diagnosis Information Fusion Method for Elevator Traction Machine Rotor Based on Complex Networks, 2023, China, ZL202010320015.1.

(2) Fault Diagnosis Method for Rotating Machinery Based on Interval-Value Belief Degree Reasoning, 2020, China, ZL201910354802.5.

(3)   A Gearbox Fault Diagnosis Method Based on K-Means Clustering and Evidence Fusion, 2020, China, 202011388904.8.

(4)   A Crankshaft Wear Detection Method for Industrial Robots Based on Heuristic Rule Systems, 2020, China, ZL201810554894.7.

(5)  Industrial Alarm Design Method Based on Multi-Objective Optimization and Evidence Iterative Updating, 2020, China, 202010207522.4.

(6)   Acoustic Resonance Liquid Level Measurement Method Based on Iterative Weighted Fusion, 2020, China, ZL201810901827.8.

(7)  Speed Control Method for Separately Excited DC Motors Based on Belief Rule-Based Reasoning, 2018, China, ZL201610321324.4.

(8)   A Track Irregularity Amplitude Estimation Method Based on Evidential Reasoning Rules, 2018, China, ZL201610274162.3.

（1）Special Prize of the China General Chamber of Commerce (GCCC) for Scientific and Technological Progress Award.

（2）Second Prize of the Zhejiang Provincial Graduate Education Society's Educational Achievement Award.

（3）Second Prize of the 1st Zhejiang Provincial Intellectual Property Award.

（4）Second Prize of the National Teaching Achievement Award.

（5）Third Prize of the Shanghai Science and Technology Progress Award.

（6）Second Prize of the Science and Technology Progress Award of the China Petroleum and Chemical Industry Federation