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    Luddy School of
    Informatics, Computing, and Engineering

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    • Lu Zhang, Ph.D.

    Lu Zhang, Ph.D.

    Assistant Professor, Computer Science

    Phone:
    317-278-5470
    Email:
    lz50@iu.edu
    Website:
    Lu Zhang (https://qidianzl.github.io/)
    IT 341

    Google Scholar profile

    Education

    • Ph.D. Computer Science and Engineering, University of Texas at Arlington, Texas, USA (2024)
    • M.S. Computer Science and Technology, Northwestern Polytechnical University, Xi’an, China (2018)
    • B.Sc. Computer Science and Technology, Northwestern Polytechnical University, Xi’an, China (2015)

    Biography

    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 and apply these principles and discoveries to advance our understanding of brain development, normal aging, and brain disorders, such as Alzheimer’s disease (AD).

    Research Interests

    • Medical AI
      • AI for Brain Development, Normal Aging and Disease Progression
      • Personalized Biomarkers for Brain Aging and Dementia
      • AI in Uncovering Fundamental Principles of Brain Structure-Function Organization
    • Brain Foundation Model/Healthcare Foundation Model
    • Brain Inspired AI

    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
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    IT 400
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