Dongjie Wang

Dongjie Wang is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas, School of Engineering. His research focuses on artificial intelligence, machine learning, and data science applications in bioinformatics, transportation planning, and data-centric AI.

Wang's research interests span several key areas:

• Development of reinforcement learning frameworks for biological pathway analysis and gene selection
• Generative AI applications in urban transportation systems
• Multi-modal representation learning for cross-domain retrieval
• Neuro-symbolic approaches for feature engineering

His recent publications demonstrate a consistent focus on developing novel AI methodologies for real-world applications, particularly in transportation systems optimization, biological data analysis, and tabular data processing. The articles collectively show strong emphasis on reinforcement learning architectures, graph neural networks, and multimodal integration techniques.

Wang advises graduate students in computer science and leads research in data-centric AI applications. His laboratory focuses on developing scalable machine learning solutions for complex systems.