Lu Zhang
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Lu Zhang | 张 璐 |
About
I am a tenure-track Assistant Professor in the Department of Computer Science at Indiana University Indianapolis. I earned my Ph.D. from the Department of Computer Science and Engineering at the University of Texas at Arlington, where I worked with Dr. Dajiang Zhu.
My research interests lie in Computational Neuroscience and Medical AI. My goal is to develop reliable AI-driven computational approaches to uncover the fundamental organizational principles of brain anatomy, structure, and function. I aim to apply these discoveries—biomarkers, principles, theories, and methods—to advance our understanding of brain normal aging, and neurodevelopmental, neurodegenerative, and psychiatric disorders, including Alzheimer’s disease (AD).
Research Interests
Medical AI- AI for Brain Aging and Brain Disease
- Imaging-Based Network-Level Biomarker for Brain Aging and Dementia
- AI in Uncovering Fundamental Principles of Brain Structure-Function Organization
Education
- PhD (2018 – 2024), Computer Science and Engineering, University of Texas at Arlington
- MS (2015 – 2018), Computer Science and Technology, Northwestern Polytechnical University
- BS (2011 – 2015), Computer Science and Technology, Northwestern Polytechnical University
Selected Awards and Scholarships
[2024] UTA College of Engineering Outstanding Doctoral Dissertation Award
[2023] Trainee Professional Development Award (TPDA) at SfN
[2023] NIH-MICCAI STudent-Author Registration (STAR) Award
[2023] The ICMA PhD Fellowship Award (5 Fellows Elected Annually World-wide)
[2020] MICCAI 2020 Young Scientist Award (Rate: 4/1809=0.2%)
[2020] MICCAI 2020 Student Travel Award
[2019] MMMI Best Oral Paper Award (Rate: 10%)
[2019] UTA Doctoral Student Research and Travel Grant Award
Services and Experiences
Leading organizer: ISBI 2025 Special Session on Unlocking the Potential of Foundation Models in Biomedicine: Opportunities and Challenges
Leading organizer: BI 2023 Workshop on The Intersection of Artificial Intelligence and Human Intelligence (IAIHI)
Area Chair: The 16th international conference on Brain Informatics (BI 2023)
Course
- CSCI-B 657 Computer Vision (Graduate, Fall 2024-2025)
News
[04/2025] I will be organizing a special session at ISBI 2025.
[01/2025] Our paper Artificial General Intelligence for Medical Imaging Analysis is set to be featured as the cover article for Next Volume of IEEE Reviews in Biomedical Engineering.
[01/2025] Nan Zhao has joined my lab, and I now have my first PhD student!
[10/2024] I received internal IU funding EMPOWER to support my research in medical AI.
[05/2024] I received UTA College of Engineering Outstanding Doctoral Dissertation Award.