Kaizhen Tan

Kaizhen Tan

Focusing on Urban AI and Spatial Intelligence

Hi! I’m Kaizhen Tan (谭楷蓁). I am currently a master’s student in Artificial Intelligence at Carnegie Mellon University. I received my bachelor’s degree in Information Systems from Tongji University, where I built a solid foundation in programming, data analysis, and machine learning, complemented by interdisciplinary training in business and organizational systems.

My research interests focus on Urban AI, Social Sensing, Spatial Intelligence, and embodied AI in urban scenes. In particular, I am interested in how AI systems can perceive, reason, and interact with the world not only through data but also through space, behavior, and cognition.

Currently, I am focusing on:

(1) Representation and embedding of geographic and spatial knowledge as a foundation for building world models

(2) Embodied urban intelligence with applications in low-altitude planning and navigation

(3) Multimodal urban data fusion for constructing city-scale foundation models and virtual urban agents

(4) Large-scale geospatial data analysis to uncover urban behavioral patterns

(5) Mobility and accessibility in urban infrastructure for people with disabilities

(6) Visual aesthetics in urban perception to inform urban design and regeneration

My research aims to build intelligent systems that are spatially and socially aware, providing computational solutions that make cities more adaptive, inclusive, and human-centric, while addressing complex societal challenges.

View My CV / Email / Github / Wechat / LinkedIn

🔥 News

  • 2025.10: 🔭 Joined Dr. Yu Liu and Dr. Fan Zhang’s team at Peking University as a remote research assistant.
  • 2025.08: 🎉 Delivered an oral presentation at Hong Kong Polytechnic University after our paper was accepted to the Global Smart Cities Summit cum The 4th International Conference on Urban Informatics (GSCS & ICUI 2025).
  • 2025.07: 🎉 My undergraduate thesis was accepted by 7th Asia Conference on Machine Learning and Computing (ACMLC 2025).
  • 2025.06: 🎓 Graduated from Tongji University—grateful for the journey and excited to continue my studies at CMU.
  • 2025.04: 🔭 Completed the SITP project under the supervision of Dr. Yujia Zhai in the College of Architecture and Urban Planning.
  • 2025.01: 💼 Joined Shanghai Artificial Intelligence Laboratory as an AI Product Manager Intern.
  • 2024.09: 🌏 Conducted research at ASTAR in Singapore under the supervision of Dr. Yicheng Zhang and Dr. Sheng Zhang.
  • 2024.04: 🔭 Began my academic journey at Dr. Wei Huang’s lab in the College of Surveying and Geo-Informatics, Tongji University.

📝 Publications

Urban Informatics
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A Multidimensional AI-powered Framework for Analyzing Tourist Perception in Historic Urban Quarters: A Case Study in Shanghai

Kaizhen Tan, Yufan Wu, Yuxuan Liu, Haoran Zeng

[arXiv] [slides]

  • Accepted at the Global Smart Cities Summit cum The 4th International Conference on Urban Informatics (GSCS & ICUI 2025)
  • Developed an AI-powered multimodal framework to analyze tourist perception in historic Shanghai quarters, integrating image segmentation, color theme analysis, and sentiment mining for heritage-informed urban planning.
GIScience & Remote Sensing
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A Spatiotemporal Adaptive Local Search Method for Tracking Congestion Propagation in Dynamic Networks

Weihua Huan, Kaizhen Tan, Xintao Liu, Shoujun Jia, Shijun Lu, Jing Zhang, Wei Huang

[arXiv] [slides]

  • Under Revision at GIScience & Remote Sensing
  • Proposed a spatiotemporal adaptive local search (STALS) method combining dynamic graph learning and spatial analytics to model and mitigate large-scale urban traffic congestion propagation.
ACMLC 2025
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Multimodal Deep Learning for Modeling Air Traffic Controllers Command Lifecycle and Workload Prediction in Terminal Airspace

Kaizhen Tan

[arXiv] [slides] [code]

  • Accepted at 7th Asia Conference on Machine Learning and Computing
  • Designed a multimodal deep learning framework linking ATCO voice commands with aircraft trajectories to model workload dynamics, enabling intelligent command generation and scheduling support.

📖 Educations

  • 2025.08 – 2026.08: Carnegie Mellon University
    – M.S. in Artificial Intelligence Systems Management

  • 2021.09 – 2025.06: Tongji University
    – B.S. in Information Management and Information System

💻 Internships