MIND Lab Members

Dr. Dajiang Zhu is an Associate Professor in the Department of Computer Science & Engineering at the University of Texas at Arlington (UTA). Dr. Zhu received his Ph.D. in Computer Science from the University of Georgia in 2014. Before joining UTA, Dr. Zhu had been working as a postdoctoral fellow at Keck School of Medicine, University of Southern California (USC). His research focuses on brain imaging, computational neuroscience, Brain-inspired AI, and AI solutions for medical data analysis. Dr. Zhu’s research has been supported by funding from NIA and NINDS.

Xiaowei Yu received the B.E. degree from Northwestern Polytechnical University, China, in 2016 and the M.E. degree from Shanghai Jiao Tong University, China, in 2019. He is currently pursuing a Ph.D. in the Department of Computer Science and Engineering at UT Arlington, Texas, USA. His research focuses on developing novel machine learning and deep learning algorithms and their applications in brain science and biomedical image analysis.

Yanjun Lyu is a PhD student in the MIND Lab at the University of Texas at Arlington, specializing in Computer Science and Engineering. His research centers on bio-computing, bioinformatics, and brain imaging. He is passionate about harnessing AI to enhance current life science analyses and develop innovative solutions for medical challenges.

Chao Cao is currently a second-year PhD student in the Department of Computer and Engineering at the University of Texas at Arlington. He received his B.E. degree from the Nanjing University of Posts and Telecommunications and his M.S. degree from the University of Maryland at College Park. His research focuses on medical imaging, brain disease diagnosis, and foundation model.

Jing focuses on the development of Multimodal Large Models for brain image analysis, with a specific focus on brain MRI and PET scans. Additionally, she is also interested in DTI-fMRI image analysis, dedicated to unraveling the complex relationships between brain function and structure through deep learning technologies. Her work employs advanced machine learning techniques aimed at facilitating the early detection of neurodegenerative diseases. Outside of the lab, she enjoys traveling, photography, and reading. If you also appreciate the literature of Ernest Hemingway and Raymond Chandler, she would be delighted to discuss them with you.

Tong Chen is a second-year PhD student in the Department of Computer Science and Engineering. His research primarily focuses on neuroimaging, specifically on studying neurodegenerative diseases such as Alzheimer’s Disease and Lewy Body Dementia. His work involves applying advanced machine learning models and state-of-the-art techniques in neuroimage analysis to better understand the brain alterations associated with these conditions, aiming to improve diagnostic accuracy and differentiate between various forms of dementia.

Minheng Chen is a PhD student in the Department of Computer Science and Engineering at the University of Texas at Arlington. Prior to that, he was an undergraduate student at the School of Computer Science and Engineering, Southeast University, Nanjing, China. His research focuses on developing advanced computational methods for imaging-based brain biomarkers and brain disease diagnosis.

Yan Zhuang is a PhD student in the Department of Computer Science and Engineering at the University of Texas at Arlington. He received his B.E. degree from the University of Electronic Science and Technology of China. His research interests include machine learning and deep learning algorithms, with a focus on neuroimaging and brain disease analysis.