Portrait
Keshu Wu
Postdoctoral Research Associate
Texas A&M University
About Me

Greetings! I am Keshu Wu, a Postdoctoral Researcher at Texas A&M University, working at the intersection of intelligent transportation, artificial intelligence, and cyber-physical systems.

I received a Ph.D. degree in Civil and Environmental Engineering from the University of Wisconsin–Madison. I also hold an M.S. degree in Computer Sciences from the University of Wisconsin–Madison, and an M.S. degree in Civil and Environmental Engineering from Carnegie Mellon University. I received a B.E. degree in Civil Engineering from Southeast University.

Research Overview

My research focuses on developing interactive and trustworthy intelligent systems that operate within complex physical environments. These systems aim to enable safe and coordinated interactions among humans, infrastructure, and autonomous agents, supporting the next generation of intelligent mobility and infrastructure systems.

My research specifically involves:

1) Connected and Automated Mobility Intelligence: modeling interactions among vehicles, infrastructure, and humans, and developing AI methods for safe motion prediction, planning, and control within connected vehicle–road–cloud and V2X systems.
2) Digital Twin and Cyber-Physical Systems: building end-to-end digital twin pipelines that integrate data, simulation, and system optimization, while leveraging generative AI and LLM-based reasoning to synthesize scenarios and agent behaviors.
3) Spatiotemporal AI for Networked Systems: developing methods for spatiotemporal reconstruction, forecasting, and scalable spatial–temporal network analysis to enable data fusion and system understanding across large-scale dynamic networks.

My research integrates methods from machine learning, generative AI, network science, and computational optimization with domain knowledge in transportation engineering and cyber-physical systems. Through this interdisciplinary approach, I aim to develop intelligent infrastructure and mobility systems that improve transportation safety, efficiency, and everyday human mobility.

Research overview
Experience
  • Aug. 2024 - Present
    Texas A&M University
    Texas A&M University
    Postdoctoral Research Associate
  • Sep. 2019 - Jun. 2024
    University of Wisconsin-Madison
    University of Wisconsin-Madison
    Research Assistant
Education
  • Sep. 2019 - Jun. 2024
    University of Wisconsin-Madison
    University of Wisconsin-Madison
    Ph.D. in Civil and Environmental Engineering
    M.S. in Computer Sciences
  • Sep. 2017 - Dec. 2018
    Carnegie Mellon University
    Carnegie Mellon University
    M.S. in Civil and Environmental Engineering
  • Sep. 2013 - Jul. 2017
    Southeast University
    Southeast University
    B.E. in Civil Engineering
News
2026
I will present 8 research posters at TRBAM 2026 in Washington, D.C.
Jan 11
2025
I will present 1 podium talk and 5 research posters at TRBAM 2025 in Washington, D.C.
Jan 05
2024
I will be joining CEE and LAUP at Texas A&M University as a postdoc.
Aug 01
I will present 1 podium talk at ASCE ICTD 2024 in Atlanta, GA.
Jun 15
I received my Ph.D. degree from the UW-Madison.
May 09
2023
I will present 1 podium talk at ASCE ICTD 2023 in Austin, TX.
Jun 14
Selected Publications (view all )
A Deep Learning Enabled Economical Informatization Framework with Sparsely Located Sensors
A Deep Learning Enabled Economical Informatization Framework with Sparsely Located Sensors

Wu, K., Zhou, Y., Li, X., Ye, X., Tu, Z.

Under Review (2026)

# inductive learning # hybrid sensor network # graph transformer

A Deep Learning Enabled Economical Informatization Framework with Sparsely Located Sensors

Wu, K., Zhou, Y., Li, X., Ye, X., Tu, Z.

Under Review 2026

# inductive learning # hybrid sensor network # graph transformer

V2XSynth: An LLM-Driven, Retrieval-Augmented Framework for Realistic V2X Scenario Synthesis
V2XSynth: An LLM-Driven, Retrieval-Augmented Framework for Realistic V2X Scenario Synthesis

Wu, K., Zhang, H., Li, P., Gan, R., You, J., Tu, Z., Zhou, Y.

Under Review (2026)

[Website]

# LLM # RAG # V2X # scenario generation

V2XSynth: An LLM-Driven, Retrieval-Augmented Framework for Realistic V2X Scenario Synthesis

Wu, K., Zhang, H., Li, P., Gan, R., You, J., Tu, Z., Zhou, Y.

Under Review 2026

[Website]

# LLM # RAG # V2X # scenario generation

AI²-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics
AI²-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics

Wu, K., Li, Z., Li, S., Ye, X., Lord, D., Zhou, Y.

Under Review (2026)

[Preprint]

# active safety # vehicle dynamics # hypergraph

AI²-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics

Wu, K., Li, Z., Li, S., Ye, X., Lord, D., Zhou, Y.

Under Review 2026

[Preprint]

# active safety # vehicle dynamics # hypergraph

V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors
V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Wu, K., Li, P., Zhou, Y., Gan, R., You, J., Cheng, Y., Zhu, J., Parker, S. T., Noyce, D., Ran, B., Tu, Z.

Under Review (2026)

[Preprint]

# LLM # V2X

V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Wu, K., Li, P., Zhou, Y., Gan, R., You, J., Cheng, Y., Zhu, J., Parker, S. T., Noyce, D., Ran, B., Tu, Z.

Under Review 2026

[Preprint]

# LLM # V2X

Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning
Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning

Wu, K., Zhou, Y., Shi, H., Lord, D., Ran, B., Ye, X.

Transportation Research Part C: Emerging Technologies (2025)

[Paper]

# hypergraph # interaction # multi-modality

Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning

Wu, K., Zhou, Y., Shi, H., Lord, D., Ran, B., Ye, X.

Transportation Research Part C: Emerging Technologies 2025

[Paper]

# hypergraph # interaction # multi-modality

A Digital Twin Framework for Physical-Virtual Integration in Enhancing Connected Vehicle Corridor Data Pipeline
A Digital Twin Framework for Physical-Virtual Integration in Enhancing Connected Vehicle Corridor Data Pipeline

Wu, K., Li, P., Cheng, Y., Parker, S. T., Noyce, D.,, Ran, B., Ye, X.

IEEE Transactions on Intelligent Transportation Systems (2025)

[Paper]

# digital twin # V2X # connected vehicle corridor

A Digital Twin Framework for Physical-Virtual Integration in Enhancing Connected Vehicle Corridor Data Pipeline

Wu, K., Li, P., Cheng, Y., Parker, S. T., Noyce, D.,, Ran, B., Ye, X.

IEEE Transactions on Intelligent Transportation Systems 2025

[Paper]

# digital twin # V2X # connected vehicle corridor

Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction Using Diffusion Graph Convolutional Networks
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction Using Diffusion Graph Convolutional Networks

Wu, K., Zhou, Y., Shi, H., Li, X., Ran, B.

IEEE Transactions on Intelligent Vehicles (2024)

[Paper]

# GNN # interaction # mutli-modality

Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction Using Diffusion Graph Convolutional Networks

Wu, K., Zhou, Y., Shi, H., Li, X., Ran, B.

IEEE Transactions on Intelligent Vehicles 2024

[Paper]

# GNN # interaction # mutli-modality

Development of the Data Pipeline for a Connected Vehicle Corridor
Development of the Data Pipeline for a Connected Vehicle Corridor

Wu, K., Cheng, Y., Parker, S. T., Ran, B., Noyce, D. A.

ASCE International Conference on Transportation and Development 2023 (2023)

[Paper]

# data pipeline # connected vehicle # v2x corridor

Development of the Data Pipeline for a Connected Vehicle Corridor

Wu, K., Cheng, Y., Parker, S. T., Ran, B., Noyce, D. A.

ASCE International Conference on Transportation and Development 2023 2023

[Paper]

# data pipeline # connected vehicle # v2x corridor

All publications