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Ā Dr. Zhang Xinran | Cognitive neurophysiology | Young Scientist Award

Dr. China Northern Vehicle Research Institute,Ā  China

šŸ‘©ā€šŸ”¬ Xinran Zhang, Ph.D., is an accomplished researcher in cognitive physiology and transportation engineering, with a strong focus on big data, artificial intelligence, and brain-computer interface. Currently serving as an Engineer at the Innovation Research Institute of China Ordnance Industry Group, he has a rich academic background from prestigious institutions such as the University of Pennsylvania and Beijing Jiaotong University. With extensive experience in project management and a track record of publications and patents, Zhang excels in machine learning, C++, Python, and statistical analysis methods. A dedicated professional, he is committed to advancing knowledge in his field through rigorous research and academic excellence.šŸŒŸ

Profile

 

Scholar

 

Ā Education BackgroundšŸŽ“

Joint Training in Cognitive Physiology University of Pennsylvania, USA Instructor: Prof. Michael L. Platt Doctoral Degree (Recommended)Supervisor: President/Professor Yan Xuedong Dalian Maritime University, China Transportation Research Directions: big data and artificial intelligence, brain-computer interface, human factors engineering Transportation Engineering Beijing Jiaotong University, China

Work ExperiencešŸ¢

  • Engineer
    • Innovation Research Institute, China Ordnance Industry Group Northern Vehicle Research Institute
    • June 2022 – Present

Research ExperiencešŸ§Ŗ

National Natural Science Foundation of China Project Driver’s eye movements and EEG under different intersection visual distances based on driving simulation experiments Invention Project Prediction devices of intersection conflicts based on driversā€™ EEG datasets (submitted), USA ProjectĀ  Manager National Natural Science Foundation of Chinaā€™s key international cooperation Research on the coupling mechanism of driving behavior and driving behavior (T17JB00210)Project Leader Basic Scientific Research Project of Central Universities of the Ministry of Education Risk identification and analysis of rear-end collision accidents based on driver cognition and vehicle control behavior National Key R&D Program of the Ministry of Science and Technology Quantitative index and evaluation method for describing mental fatigue by electroencephalogram (2023-China Ordnance Industry Group Project Source dynamic adaptation and emergency management technology

Foreign Language and Programming SkillsšŸŒšŸ’»

English proficiency: passed CET6; passed the Ministry of Educationā€™s study abroad personnel trainingProfessional skills: proficient in machine learning, C++, Python, Matlab, R language and other software and statistical analysis methods

Honors and AwardsšŸ…

2019 National Public Scholarship Funding2017 Urban Transportation Special Scholarship2018 National ScholarshipOutstanding Graduates of Beijing Jiaotong University in 20212018 Second Prize in Science and Technology (Natural Science) of China Simulation Society

Personal NotešŸ¤

  • Love scientific research, love academics, be down-to-earth and hardworking, and have perseverance.

Publications Top Notes šŸ“

  1. Title: How does intersection field of view influence driving safety in an emergent situation?
    • Authors: X Yan, X Zhang, Q Xue
    • Journal: Accident Analysis & Prevention
    • Volume: 119
    • Pages: 162-175
    • Year: 2018
    • Citations: 19

 

  1. Title: Changes in driversā€™ visual performance during the collision avoidance process as a function of different field of views at intersections
    • Authors: X Yan, X Zhang, Y Zhang, X Li, Z Yang
    • Journal: PLoS one
    • Volume: 11
    • Issue: 10
    • Article: e0164101
    • Year: 2016
    • Citations: 14

 

  1. Title: Exploring the effects of EEG signals on collision cases happening in the process of young driversā€™ braking
    • Authors: X Zhang, X Yan, J Stylli, ML Platt
    • Journal: Transportation Research Part F
    • Volume: 80
    • Pages: 381-398
    • Year: 2021
    • Citations: 10

 

  1. Title: Predicting collision cases at unsignalized intersections using EEG metrics and driving simulator platform
    • Authors: X Zhang, X Yan
    • Journal: Accident Analysis & Prevention
    • Volume: 180
    • Article: 106910
    • Year: 2023
    • Citations: 6

 

  1. Title: Comparing the Differences of EEG Signals Based on Collision and Non-collision Cases
    • Authors: X Zhang, X Yan
    • Journal: Advances in Human Factors of Transportation: Proceedings of the AHFE 2019
    • Year: 2020

 

Zhang Xinran | Cognitive neurophysiology | Young Scientist Award