Lingqiao Qin is a seasoned professional in the fields of transportation engineering, vehicle safety, and data analysis. With a Ph.D. in Transportation Engineering from the University of Wisconsin-Madison, Lingqiao has over a decade of experience in large-scale data mining, machine learning, and statistical analysis. Lingqiao’s expertise extends to traffic and driving data collection, modeling, and analysis, as well as vehicle safety engineering. Throughout their career, Lingqiao has contributed significantly to the development of autonomous and connected vehicles, focusing on safety and performance optimization.
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As an accomplished researcher and thought leader in their field, Lingqiao Qin’s publications have garnered recognition and citations from peers and scholars worldwide. Their author metrics reflect the impact and influence of their work, including citation counts, h-index, and publication metrics such as journal impact factors and citation rates. Lingqiao’s contributions have been instrumental in advancing the state-of-the-art in transportation engineering and vehicle safety.
Citations: 1,806
Documents: 42
h-index: 17
Education
Lingqiao Qin holds a Ph.D. in Transportation Engineering with a minor in Statistics from the University of Wisconsin-Madison. They also possess a Master’s degree in Industrial and Systems Engineering from the same institution, as well as a Master’s degree in Vehicle Safety Engineering from The George Washington University. Their academic journey began with a Bachelor’s degree in Civil Engineering from Beijing Jiaotong University in China.
Research Focus
Lingqiao Qin’s research primarily focuses on the intersection of transportation engineering, vehicle safety, and data analysis. They have conducted extensive studies on traffic and driving behavior, safety measures, and the integration of autonomous technologies into transportation systems. Their work often involves utilizing advanced statistical techniques, machine learning algorithms, and simulation models to analyze large datasets and derive actionable insights for improving transportation infrastructure and vehicle safety.
Professional Journey
Lingqiao Qin’s professional journey spans various roles in both academia and industry. They have worked as a Research Assistant at prestigious institutions such as the Traffic Operations and Safety Lab in Madison, WI, and the Center for Intelligent Systems Research in Washington, D.C. Additionally, Lingqiao has held positions as a Systems Engineer at Zoox and a Staff Technical Safety Engineer at Rivian, where they contributed to the development of autonomous vehicle technologies and ensured compliance with safety standards.
Honors & Awards
Throughout their career, Lingqiao Qin has received several honors and awards for their contributions to the fields of transportation engineering and vehicle safety. These accolades recognize their outstanding research, innovative solutions, and dedication to advancing the safety and efficiency of transportation systems. Lingqiao’s commitment to excellence has been acknowledged by academic institutions, professional organizations, and industry leaders.
Publications Top Noted & Contributions
Lingqiao Qin has made significant contributions to the body of knowledge in transportation engineering and vehicle safety through their research publications and industry collaborations. Their work has been published in reputable journals, conference proceedings, and technical reports, covering a wide range of topics such as weather impact on driving behavior, traffic flow modeling, and autonomous vehicle decision-making. Lingqiao’s insights have helped shape industry practices and inform policymaking efforts in the transportation sector.
Research Timeline
Lingqiao Qin’s research timeline traces their academic and professional journey, highlighting key milestones, projects, and achievements throughout their career. From their early education in civil engineering to their doctoral studies in transportation engineering, Lingqiao’s timeline showcases the progression of their research interests, contributions to the field, and collaborations with academic institutions, industry partners, and professional organizations
