معرفی
Aijuan Dong is a Professor and Department Chair of Computer Science & Information Technology at Hood College, where she teaches both undergraduate and graduate courses. Her academic work spans a broad range of computer science disciplines, with strong emphasis on practical and theoretical aspects of computing education and research.
Her research interests include artificial intelligence, machine learning, health informatics, database technologies, cloud computing, knowledge representation and inference, and computer science pedagogy. Currently, she focuses on designing and applying scalable deep learning models and causal reasoning approaches to analyze large and diverse datasets.
Dr. Dong earned her Ph.D. in Computer Science from North Dakota State University and a Master of Science in Computer Science from Minnesota State University. These educational foundations support her interdisciplinary research and teaching excellence.
While no recent articles are listed, her research trajectory suggests strong engagement with data-intensive AI methods, particularly in health and educational domains, combining deep learning with causal inference for robust insight generation.
- Scientific Awards: No awards listed.
Dr. Dong advises students at both undergraduate and graduate levels and leads curriculum development as Department Chair. She has not disclosed specific grant funding, but her research areas suggest potential involvement in federally or institutionally supported projects related to AI in health and education.
She is active in academic leadership and professional engagement, as evidenced by her departmental leadership role and presence on LinkedIn. While no formal lab or research team is mentioned, her focus on scalable models implies collaborative, data-driven research efforts.
