Scholar
Lu Zhang
Google Scholar ID: XNbe_O4AAAAJ
Assistant Professor, Indiana University Indianapolis
Citations & Impact
Citations
1,601
H-index
19
i10-index
34
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- 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.
Research Experience
- Tenure-track Assistant Professor in the Department of Computer Science at Indiana University Indianapolis; Leading organizer for ISBI 2025 Special Session on 'Unlocking the Potential of Foundation Models in Biomedicine: Opportunities and Challenges'; Leading organizer for BI 2023 Workshop on 'The Intersection of Artificial Intelligence and Human Intelligence (IAIHI)'; Area Chair for The 16th International Conference on Brain Informatics (BI 2023); Course instructor for CSCI-B 657 Computer Vision (Graduate, Fall 2024-2025).
Education
- PhD (2018-2024), Computer Science and Engineering, University of Texas at Arlington, Advisor: Dr. Dajiang Zhu; MS (2015-2018), Computer Science and Technology, Northwestern Polytechnical University; BS (2011-2015), Computer Science and Technology, Northwestern Polytechnical University.
Background
- Research Interests: Computational Neuroscience and Medical AI. Aims to develop reliable AI-driven computational approaches to uncover the fundamental organizational principles of brain anatomy, structure, and function, and apply these discoveries to advance our understanding of brain normal aging, neurodevelopmental, neurodegenerative, and psychiatric disorders.
Miscellany
- Interests include reading and traveling.
