Zhaodan Kong

Associate Professor

University of California, Davis

United States

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About

Zhaodan Kong is an Associate Professor at the University of California Davis. His research focuses on vision-based navigation for unmanned aerial vehicles, optimization techniques for multirotor operations, and causal inference in environmental systems. Recent publications include studies on wildfire smoke propagation using UAV measurements and the application of sensor fusion for 3D mapping.

Articles (15)

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2025

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UNITED STATES

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Zhaodan Kong

Research Interests

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About

Articles (15)

Vision-based navigation of unmanned aerial vehicles in orchards: An imitation learning approach

Optimization of three-dimensional waypoint ordering for energy-optimal multirotor operation

A Control-Theoretic Spatio-Temporal Model for Wildfire Smoke Propagation Using UAV-Based Air Pollutant Measurements

A Compact Handheld Sensor Package with Sensor Fusion for Comprehensive and Robust 3D Mapping

Optical Flow as Spatial-Temporal Attention Learners

UAV-Based Wildland Fire Air Toxics Data Collection and Analysis

Causal Signal Temporal Logic for the Environmental Control and Life Support System’s Fault Analysis and Explanation

Quantifying Causal Path-Specific Importance in Structural Causal Model

Neurophysiological and Behavioral Differences in Human-Multiagent Tasks: An EEG Network Perspective

System identification of wind effects on multirotor aircraft

Vision-Based 2D Navigation of Unmanned Aerial Vehicles in Riverine Environments with Imitation Learning

Interpretable Fault Diagnosis for Cyberphysical Systems: A Learning Perspective

Data-Driven Real-Valued Timed-Failure-Propagation-Graph Refinement for Complex System Fault Diagnosis

Temporal-Logic-Based Semantic Fault Diagnosis With Time-Series Data From Industrial Internet of Things

Multi-Agent Cooperative Pursuit-Defense Strategy Against One Single Attacker

Collaborators (6)

Stavros Vougioukas

Cheng Han

Yingjie Chen

Thomas Young

Heng Fan

JAMES NABITY

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