Yuanlin Zhang

Dr. Yuanlin Zhang is an Associate Professor in the Department of Computer Science at Texas Tech University, where he has been employed since 2004. He holds a PhD in Computer Science from the National University of Singapore. His research bridges artificial intelligence, healthcare applications, and STEM education reform.

Research Focus: Dr. Zhang develops computational foundations for intelligent systems with dual applications: (1) Healthcare problem-solving (COVID-19 modeling, knowledge graphs for medical data) and (2) K-12 STEM education integration using logic programming. His NSF-funded projects include tools for intelligent systems and REU programs connecting logic programming to energy, security, and healthcare.

Publication Trends (2019-2024): Recent works cluster in two domains: Computational Education (VR programming environments, curriculum integration, data science pedagogy) and Advanced Logic Systems (answer set programming, epistemic specifications, knowledge representation). Healthcare publications focus on pandemic modeling and biomedical knowledge graphs.

Educational Technology: Dr. Zhang creates accessible tools like OnlineSPARC and VRASP to teach computational concepts, demonstrating consistent commitment to STEM education innovation.