Biography  Li Zhu is a Professor, Ph.D.. Recognized as a Category D High-Level Talent of Jiangxi Province, she is also a recipient of the prestigious Jiangxi Provincial Distinguished Young Scholar Fund.

Research ProfileHer research focuses on intelligent signal processing and interdisciplinary applications of artificial intelligence (AI+X). She was awarded the Second Prize of the Jiangxi Provincial Natural Science Award (2023) and was named an Advanced Individual in Natural Science Research by Nanchang University (2017–2019). Dr. [Last Name] has published over 40 papers in top-tier journals and conferences, including Nature Communications and various IEEE Transactions. Among these, two are recognized as ESI Highly Cited Papers, with a peak single-paper citation count exceeding 400. Her work has been widely cited by authoritative journals such as the Proceedings of the National Academy of Sciences (PNAS).

As of 2025, she has served as the Principal Investigator (PI) for 19 projects spanning national, provincial, international, and industrial sectors. Her grants include the National Natural Science Foundation of China (NSFC), the Jiangxi Provincial Distinguished Young Scholar Fund, the China Postdoctoral Science Foundation, and several provincial and educational reform funds. Additionally, she has participated in high-profile initiatives such as the National Key R&D Program for New Generation Broadband Wireless Mobile Communication Networks, as well as projects funded by the US National Science Foundation (NSF) and Microsoft Research.

Student Mentorship & Teaching Excellence As the primary advisor, she has guided students to numerous accolades, including 10 national awards in Category B academic competitions (featuring 5 national first prizes), a First Class Award (Global Second Prize) in the ASC Student Supercomputing Challenge, 10 National Innovation and Entrepreneurship projects, and a national second prize in the China Graduate Electronic Design Competition. Her dedication to education has earned her the National Second Prize in the National University Teachers' Teaching Innovation Competition, the University Teaching Quality Excellence Award, and the title of Outstanding Mentor for Honors Experimental Classes.

Research Interests Centering her work on AI algorithms and cognitive neuroscience mechanisms, her research groups investigate the following areas:

    AI + Healthcare: Intelligent diagnosis and treatment frameworks driven by neuro-radiomics, ICU multi-modal data, sepsis, and brain glioma profiles.

    AI + Security: Detection and tracking of dim/small targets using optical and remote sensing imagery.

    AI + Disaster Early Warning: Intelligent prediction of geological hazards (e.g., landslides) using remote sensing and GIS data.

    Hardware Implementation of AI Algorithms: Accelerating edge computing and deep learning models via hardware.

    Cognitive Neuroscience: Exploration of human visual attention and selective attention mechanisms.