Scholar
Zhaobin Mo
Google Scholar ID: PoExlP0AAAAJ
Columbia University
Citations & Impact
Citations
841
H-index
13
i10-index
14
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Publications: Multiple papers accepted by ITSC 2024, Transportation Science, ACM Transactions on Spatial Algorithms and Systems, AAMAS 2024, etc.; Awards: Best Paper award in KDD 2023 workshop on urban computing.
Research Experience
- 2024/06 - Joined Argonne National Lab as a Student Researcher; 2022/06 - Joined Siemens as a Student Researcher.
Education
- Ph.D.: Columbia University, Civil Engineering, advised by Prof. Xuan Di (since 2017); B.E.: Tsinghua University, 2017.
Background
- Research Interests: Physics-informed deep learning, integration of domain knowledge and deep learning models; Professional Field: Civil Engineering; Brief Introduction: Currently a Ph.D. student in Civil Engineering at Columbia University, focusing on exploring how prior knowledge can foster safe, robust, and explainable AI. Also worked on reinforcement learning, graph neural networks, and probabilistic graphical models.
Miscellany
- Personal interests and hobbies not mentioned.
