Lu Zhang

Lu Zhang 张 璐 Assistant Professor Department of Computer Science Indiana University - Indianapolis Indianapolis, IN, USA I am seeking motivated PhD students who are interested in conducting research in the fields of AI in Neuroscience, AI for healthcare, and Brain-inspired AI. If you are interested, please reach out to me with your CV.

Research Interests

• AI in Brain Fundamental Organization Principles
• AI in Brain Disorders, such as Alzheimer’s Disease
• Computational Modeling of Disease Progression
• Imaging-based Biomarker of Brain Dementia

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

Awards and Honors

• [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

Talks

• [03/2023] Invited talk about “Applying Deep Neural Networks to Study the Brain Networks” at Stevens Institute of Technology

• [06/2022] Invited talk about “Brain Structural and Functional Networks” at Harvard Medical School

• [04/2022] Invited talk about “Hierarchical Semantic Tree Embedding for Image Understanding” (UTA CSE 6363)

• [11/2021] Invited talk about “Recurrent Neural Network and Transformer” (UTA CSE 6363)

• [05/2021] Invited talk about “Some Thoughts on My PhD Training” at University of Texas at Arlington (CSE6363)

Academic Services

• The leading organizer of the international workshop, IAIHI, held in conjunction with the 16th international conference on Brain Informatics (BI23)
• Area Chair at the 16th international conference on Brain Informatics (BI 2023)

• Conference Reviewer: MICCAI 2020-2023, ISBI2021, ICML 2022, AAAI 2023, 2024

• Journal Reviewer: Cerebral Cortex, TNNLS, TMI, Frontiers in Human Neuroscience, Journal of Biomedical and Health Informatics, Frontiers in Computational Neuroscience, Computerized Medical Imaging and Graphics, Journal of Cancer Research and Clinical Oncology

Teaching Experiences

• UTA, CSE5350, Computer Architecture II
• UTA, CSE6331, Cloud Computing
• UTA, CSE6363, Machine Learning
• UTA, CSE4344/5344, Computer Network Organization
• UTA, CSE5334/4334, Data Mining

• I volunteered as a weekly tutor for families facing financial hardship for a duration of six months during my undergraduate studies.

News

• [12/2023] One paper accepted at Pharmacological Research.

• [09/2023] Received 2023 Trainee Professional Development Award (TPDA) at SfN.

• [07/2023] I organized IAIHI, the international workshop held in conjunction with the 16th international conference on Brain Informatics 2023.

• [07/2023] I was invited as an Area Chair at the 16th international conference on Brain Informatics (BI 2023).

• [07/2023] Received 2023 NIH-MICCAI STudent-Author Registration (STAR) Award.

• [05/2023] Received 2023 ICMA PhD Fellowship Award.

• [05/2023] Two papers early accepted at MICCAI 2023.

• [02/2023] Two papers accepted at ISBI 2023.

• [11/2022] One paper accepted at Cerebral Cortex.

• [04/2022] One paper accepted at Medical Image Analysis (MedIA).