Xin Yang

Dr. Xin Yang is an Assistant Professor in the Department of Computer Science at Middle Tennessee State University (MTSU). With a focus on Machine Learning, Deep Learning, and Neuroimaging Data Analysis, he bridges computational methods with biomedical applications. His teaching responsibilities include CSCI-2170 Computer Science II, CSCI-3080 Discrete Structures, and CSCI-4410 Web Technologies.

• PhD, MTSU (2016)
• MS, MTSU (2014)
• ME, North China University of Technology (2012)
• BE, Qingdao University (2008)

Dr. Yang’s research explores Autism Spectrum Disorder (ASD) classification using functional MRI data, image fusion techniques (visible and infrared), and imbalanced data handling. His work applies methods like Group ICA, Dictionary Learning, and Spearman’s Rank Correlation to analyze brain networks.

Recent publications span 2024 to 2010, with a focus on ASD classification, fMRI analysis, and image processing. Trends include convolutional neural networks, adversarial defense, and signal processing for biometric applications.

• USDA grant ($181,819, Co-PI, 2023)
• MT-IGO award ($10,000, PI, 2022)
• MTSU URECA and CBAS Scholar Week awards
• NSF EPSCoR and REU Site grants

He mentors students in machine learning research and software development, including projects like Dijkstra’s algorithm for pathfinding and web-based calculators. His lab emphasizes hands-on AI applications and interdisciplinary collaboration in healthcare and data science.