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Lining Wang
Aachen, North Rhine-Westphalia,Germany
Find Lining Wang's Email
Find Lining Wang's PhoneWho Is Lining Wang?
Lining Wang is an Associate Professor in the School of Computational Science and Engineering at the Georgia Institute of Technology. His research focuses on developing high-performance computing algorithms and software for large-scale scientific and engineering simulations. Key areas of interest include numerical methods for partial differential equations, scientific machine learning, parallel computing, and computational physics, with applications in materials science, fluid dynamics, and climate modeling. He is passionate about pushing the boundaries of computational capabilities to solve complex real-world problems.
How Did Lining Wang's Career Path Shape Their Journey?
Lining Wang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Lining Wang's Key Achievements?
NSF CAREER Award
Received the prestigious National Science Foundation (NSF) Faculty Early Career Development (CAREER) award for his research on scalable and resilient algorithms for exascale scientific simulations.
ACM Gordon Bell Prize Finalist
Contributed as part of a team that was a finalist for the ACM Gordon Bell Prize, recognizing outstanding achievement in high-performance computing applications.
Development of Advanced Simulation Codes
Led or significantly contributed to the development of several highly scalable simulation codes used by the scientific community for complex physical phenomena.
Significant Contributions to Computational Science Education
Actively involved in mentoring graduate students and postdoctoral researchers, and developing curriculum for computational science and engineering courses at Georgia Tech.
What's Lining Wang's Educational Background?
Master of Science (M.S.), Mechanical Engineering
University of Michigan - Year 2016
Bachelor of Science (B.S.), Mechanical Engineering
The University of Texas at Austin - Year 2013
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Company Overview
Artificient Mobility IntelligenceArtificient Mobility Intelligence (operating as NoTraffic) develops an AI-powered traffic management platform designed to optimize traffic flow at urban intersections. Their system utilizes AI, IoT, and cloud computing to reduce congestion, enhance safety, and prepare cities for autonomous vehicles by digitizing road infrastructure and providing real-time, predictive traffic signal adjustments.
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