Fan Jiaxin (Prospective Ph.D. Applicant)
I am Fan Jiaxin, studying Master's in Transportation Planning and Management at Beijing Jiaotong University, China. I have completed my Bachelor's in Transportation from Nanjing Agricultural University, China.
In my research, I want to use artificial intelligence technologies such as Deep Learning and Natural language processing (NLP) to help Urban Rail Transit (URT) emergency management. For this purpose, I aim to research that can automatically generate emergency assistance decisions, provide a reference for emergency management personnel, and thus reduce decision-making time. My research interests include Intelligent Traffic Systems (ITS), Natural Language Processing (NLP), Deep Learning, Knowledge Graphs, Data Analysis, and Visualization.
I can be reached at 21120810@bjtu.edu.cn
In my research, I want to use artificial intelligence technologies such as Deep Learning and Natural language processing (NLP) to help Urban Rail Transit (URT) emergency management. For this purpose, I aim to research that can automatically generate emergency assistance decisions, provide a reference for emergency management personnel, and thus reduce decision-making time. My research interests include Intelligent Traffic Systems (ITS), Natural Language Processing (NLP), Deep Learning, Knowledge Graphs, Data Analysis, and Visualization.
I can be reached at 21120810@bjtu.edu.cn
List of Publications
(SCI) Knowledge Acquisition Method of Urban Rail
Transit Safety Event Case Base for Intelligent
Emergency Response
Zhu, Guangyu and Fan, Jiaxin and Huang, Xinglin and Nuo, Zhang and Wu, Bo and Wei, Yun
IEEE Transactions on Automation Science and Engineering, 2023. DOI: 10.1109/TASE.2023.3337135
(EI) Information Fusion and Emergency Knowledge Graph Construction of Urban Rail Transit
Zhu, Guangyu and Yang, Rongzheng and Fan, Jiaxin and Wei, Yun and Wu, Bo and Wu, Qi
International Journal of Computational Science and Engineering, 2023.
(SCI) Coupling Effect and Chain Evolution of Urban Rail Transit Emergencies
Zhu, Guangyu and Sun, Ranran and Fan, Jiaxin and Li, Furong and Hou, Yuhong and Yu, Hui and Liu, Peter Xiaoping
IEEE Transactions on Intelligent Transportation Systems, 2023. DOI: 10.1109/TITS.2023.3283100
List of Thesis
Tentative Title: Emergency Decision-making Method of Urban Rail Transit based on Knowledge Graph
Master Thesis at Beijing Jiaotong University, China
Supervised by Associate Professor Guangyu Zhu
Design And Optimization Of A Disc Brake
Bachelor Thesis at Nanjing Agricultural University, China
Supervised by Associate Professor Guozhu Zhao
Education
Master's in Transportation Planning and Management
Beijing Jiaotong University, China
Duration: September 2021 - Present
Coursework:
- Numerical Analysis
- Time Series Data Analysis and Mining
- Optimization Theory and Method of Transportation System
Bachelor's in Transportation Engineering
Nanjing Agricultural University, China
Duration: August 2017 - June 2021
Coursework:
- Advanced Mathematics
- C Programming
- Physics
Academic Experience
Research Assistant
Beijing Jiatong University
Duration: September 2021 - Present
Responsibilities:
- Designed knowledge graph ontology structure for urban rail transit emergency cases and emergency plans
- Constructed the entity acquisition model integrating semantic information for urban rail transit emergency cases based on Machine Reading Comprehension (MRC) framework
- Constructed prediction model of urban rail transit emergency results based on the convolutional neural network
Research Assistant
Nanjing Agricultural University
Duration: March 2019 - June 2020
Responsibilities:
- Successfully designed and implemented a roof-greening automatic irrigation system with advanced features, including remote control functionality through the SMS platform
- Developed a robust drive control circuit and MCU program using Keil C, ensuring reliable operation of the system
- Optimized the performance of the STC89C51 single-chip machine through simulation using Proteus software, resulting in an efficient and reliable solution
Work Experience
Project Assistant Intern
China International Engineering Consulting Corporation (CIECC)
Duration: September 2022 - December 2022
Responsibilities:
- Conducted policy reviews and analyses for the "Suiyang Project," ensuring adherence to pertinent regulations and optimizing project outcomes
- Provided essential project support by collecting information, performing data analysis, and assisting in report writing, contributing to the efficient project management
Skills
Programming Languages
- Python (PyTorch)
- C (Intermediate)
- MATLAB (Intermediate)
Other Tools
- Neo4j
- AutoCAD
- TransCAD
- ArcGIS
- SPSS
- VisSim
- Cisco Packet Tracer
- Adobe Photoshop
- Adobe Premiere Pro
- Adobe After Effect
- VOSviewer
Certifications
• 2019: Advanced AutoCAD-Vocational and Technical Training Certificate
• 2019: NCRE-4 (National Computer Rank Examination)
• 2018 & 2019: CET4(628), CET6 (549)
Awards/Scholarships
• 2022-2023: Outstanding League Cadre of the School of Traffic and Transportation of Beijing Jiaotong University
• 2022: First Prize of the Science and Technology Progress Award from the Beijing Rail Transit Association
• 2021 & 2022: First-class Scholarship for Postgraduate Studies (Scholarship ratio: 30%)
• 2021: Outstanding Graduate of Nanjing Agricultural University
• 2017-2018 & 2019-2020: National Inspirational Scholarship, Nanjing Agricultural University (Scholarship ratio: 3%)
• 2017-2018 & 2018-2019 & 2019-2020: Merit Student Scholarship, Nanjing Agricultural University
• 2017-2018 & 2018-2019: Single Subject Merit Scholarship, Nanjing Agricultural University
• 2019: Outstanding Leader Merit Student of the Career Development Association
• 2019: Third Prize of "Internet +" Innovation and Entrepreneurship Competition of Nanjing Agricultural University
• 2019: Outstanding League Member of Engineering College of Nanjing Agricultural University
• 2018: Outstanding League Cadre of Engineering College of Nanjing Agricultural University
• 2018: Third Prize of National English Contest for College Students
Learn More
• My Academic CV
• Google Scholar Profile: Google Scholar