Lingjie Fan

Title: Associate Professor

Office: Building 9, Teaching Building, Room 1203

Email 1: fanlj@nwafu.edu.cn

Email 2: LingjieFan@foxmail.com

Basic Information

Lingjie Fan, male, Han ethnicity, born in February 1999 in Chongqing, holds a Ph.D. and currently serves as an Associate Professor and Master's Supervisor at the College of Information Engineering, Northwest A&F University. In 2021, he was admitted directly into the Ph.D. program in Computer Science and Technology at the College of Computer Science (School of Software), Sichuan University, and obtained his Ph.D. in Engineering in June 2026. His research focuses on medical artificial intelligence, human-computer interaction, and wearable computing, with particular emphasis on the application of AI and wearable technologies in disease diagnosis, prognosis and rehabilitation, behavioral monitoring, and person# Lingjie Fan

Title: Associate Professor

Office: Building 9, Room 1203

Email 1: fanlj@nwafu.edu.cn

Email 2: LingjieFan@foxmail.com

Biography

Lingjie Fan, male, Han ethnicity, born in February 1999 in Chongqing, China, holds a Ph.D. and currently serves as an Associate Professor and Master's Supervisor at the College of Information Engineering, Northwest A&F University. In 2021, he was admitted directly to the Ph.D. program at the College of Computer Science (School of Software) at Sichuan University, majoring in Computer Science and Technology, and received his Ph.D. in Engineering in June 2026. His research focuses on medical artificial intelligence, human-computer interaction, and wearable computing, with particular emphasis on the application of AI and wearable technologies in disease diagnosis, prognosis and rehabilitation, behavioral monitoring, and personalized intervention. His research findings have been published in Nature-family journals, IEEE Transactions journals, Q1/Top-tier journals, and CCF-A conferences. His related work was selected for an Oral presentation at the American Association for Cancer Research (AACR) Annual Meeting. He has received the National First Prize at the China Virtual Reality Competition, the National First Prize at the China Undergraduate Internet of Things Competition, the National Scholarship for Doctoral Students, and the Outstanding Doctoral Student Award from Sichuan University, among other honors.

Research Interests

Physical Activity; Medical Artificial Intelligence; Wearable Computing; Multimodal Behavioral Sensing and Fusion Computing; Applications of Large Language Models in Oncology, Aging, Pediatrics, and Neurological Disorders.

Selected Publications

[1] Fan L#, Liu S#, Zhao J#, Wang X, Nie Y, Qaderi F, Su Q, He Z, Yang S, Yi T, et al. Physical activity levels may impact on the risk of premature mortality in people with epilepsy. Nature Communications, 2025, 16: 9837.

[2] Fan L, Wang F Y, Zhao J H, Zhang J J, Li Y A, Tang J, Lin T, Wei Q. From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults. International Journal of Behavioral Nutrition and Physical Activity, 2025, 22: 11.

[3] Fan L, Zhao J, Wang X, Luo Y, Li F, Li C, Liu S, Yang Y, Lin T, Wang F. Site-specific pain dynamics: associations between accelerometer-measured physical activity patterns and pain in older adults. The Journal of Headache and Pain, 2025, 26: 287.

[4] Fan L*, Zhao J, Wu Y, Wang F, Wang X, Lin T. Beyond the Clock: Exploring Multimodal Behavior Markers of Mild Cognitive Impairment in Older Adults during Clock Drawing Test. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2025, 9(4), Article 171: 1–30.

[5] Fan L#, Zhao J#, Hu Y#, Zhang J, Wang X, Wang F, Wu M, Lin T*. Predicting physical functioning status in older adults: insights from wrist accelerometer sensors and derived digital biomarkers of physical activity. Journal of the American Medical Informatics Association, 2024, 31(11): 2571–2582.

[6] Fan L, Zhang J, Zhao J, Wang F, Luo T, Lin T. PFIMPA: A Multimodal Approach to Predict Physical Function Impairment in Older Adults Using Physical Activity From Wrist-Worn Accelerometer. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1–13.

[7] Fan L, Zhao J, Wang J, Zhou X, Wang X, Liu S, Wang F, Wei Q, Lin T. Accelerometer-measured multidimensional physical activity patterns and physical functional decline: a prospective national cohort study of aging. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, 2025, 80(8): glaf158.

[8] Fan L, Zhang J, Wang F, Liu S, Lin T. Exploring outdoor activity limitation factors among older adults using interpretable machine learning. Aging Clinical and Experimental Research, 2023, 35(9): 1955–1966.

[9] Fan L, Liu S, Jin T, Gan J G, Wang F Y, Wang H T, Lin T. Ergonomic risk factors and work-related musculoskeletal disorders in clinical physiotherapy. Frontiers in Public Health, 2022, 10: 1083609.

[10] Niu T#, Fan L#, Lian R, Wang F, Zhao J, Lin T. Wearable sensor-derived continuous physical activity dimensions and all-cause mortality in adults with diabetes and hypertension: insights from two population-based accelerometry cohorts. Acta Diabetologica, 2026.

[11] Wang F Y#, Fan L#, Huo L N, Lin Y, Zhang R G, Yang Y H, Wei Q. Predictors of mood disturbance in older adults: a longitudinal cohort study. European Geriatric Medicine, 2025, 16(3): 871–879.

[12] Liu S#, Fan L#, Tian H, Wei S S, Zhang S J, He M, Wei J H. Identify predictive factors for the emergence of self-reported oropharyngeal dysphagia in older men and women populations: a retrospective cohort analysis. Frontiers in Neurology, 2025, 16: 1439579.

[13] Li Y, Niu T, Xiang Z, Zhao J, Zhang J, Fan L*. Digital Phenotyping of Physical Activity and Mortality in Cancer Survivors. MedComm–Future Medicine, 2026, 5(3): e70064.

[14] Liu S, Li Y, Li D, Wang F, Fan L*, Zhou L. Advances in objective assessment of ergonomics in endoscopic surgery: a review. Frontiers in Public Health, 2024, 11: 1281194.

[15] Niu T, Fan L*. ETransMAE: A Cognitive Stage-Aware Masked Autoencoder for Mild Cognitive Impairment Detection via Clock Drawing Test Videos. 2025 International Symposium on AI-Driven Image Processing and Computer Vision Technology, 2025: 146–151.

[16] Nie Y, Wang F, Fan L, Chen Y, Su S, Liu Y, Lin T, Yang C, Wang W. The Health-Economy Trade-Off During the Global Pandemic. IEEE Transactions on Network Science and Engineering, 2026.

[17] Ji Z, Fan L, Li Z, Xu Z, Wang K, Zhao J. Interpretable AI-driven pan-cancer pre-screening of actionable gene fusions from H&E slides: A prototype-guided mixture-of-experts framework to prioritize patients for RNA/DNA sequencing. Journal of Clinical Oncology, 2026, 44(16_suppl): e15011.

[18] Zhao J, Zhang J, Fan L, Chen A, Ji Z, Xu Z, Zhu Y, Wang K. CUPAI-2: A collaborative multi-agent large language model framework for diagnosis of cancer of unknown primary. Cancer Research, 2026.

[19] Luo T, Lin T, Yang C, Fan L, Wang W. A Drug-Drug Interaction Prediction Method Based on Atomic 3D Position Encoding and Elastic Message Passing Graph Neural Network. IEEE Journal of Biomedical and Health Informatics, 2025, 29(9): 6915–6928.

[20] Dong Y, Fan L, Yan B. Exploring Facial Micro-expressions Digital Biomarkers for Mild Cognitive Impairment: Insights from the Clock Drawing Test. 2025 IEEE Cyber Science and Technology Congress, 2025.

Just Accepted

[1] Liu S#, Fan L#, Li J, et al. Association of apolipoprotein E gene with risk, cognition, and prognosis of epilepsy. Human Genetics, 2026.

Research Projects

[1] National Science and Technology Innovation 2030 Major Program — "Prevention and Treatment Research on Cancer, Cardio-Cerebrovascular, Respiratory, and Metabolic Diseases": Promotion Mechanisms, Models, and Demonstrations of Appropriate Technologies for Major Chronic Disease Prevention and Control in China, 2025, Participant.

[2] National Key R&D Program — "Active Health and Aging Response Technology" Program: Frontier Technology Research on Assessment and Personalized Intervention of Common Motor and Cognitive Impairments in Chinese Older Adults, 2024, Participant/Core Researcher.

[3] National Key R&D Program: Development of Comprehensive Assessment and Management Models for Disability in Older Adults, 2023, Participant.

[4] Chongqing Youth Innovation and Entrepreneurship "Launch Program": Research and Development of a Motor Intelligence Assessment and Intervention System for Children, 2021, Principal Investigator.

[5] "Outstanding Innovation, Outstanding Support" Undergraduate Entrepreneurship Support Program, 2021, Principal Investigator.

[6] National Undergraduate Innovation and Entrepreneurship Training Program, 2019, Principal Investigator.

Academic Service / Awards / Research Collaborations

Academic Service: Serves as a peer reviewer for international journals in digital medicine and public health, including npj Digital Medicine, npj Aging, npj Women's Health, npj Digital Public Health, PLOS Digital Health, BMC Public Health, BMC Geriatrics, BMC Medical Informatics and Decision Making, Frontiers in Computational Neuroscience, Archives of Gerontology and Geriatrics, and Population Health Metrics.

Awards: National First Prize, China Virtual Reality Competition; Grand Prize, Xinhuo Cup Software Design Competition; National First Prize, China Undergraduate Internet of Things Competition; First Prize (Southwest Region), Computer Skills Challenge Competition; Provincial/Ministerial Gold Award, 6th China International "Internet+" Innovation and Entrepreneurship Competition; Provincial/Ministerial Silver Award, 5th China International "Internet+" Innovation and Entrepreneurship Competition; Second Prize, Youlu Cup Software Design Competition; Provincial/Ministerial First Prize, National Undergraduate E-Commerce "Innovation, Creativity, and Entrepreneurship" Challenge; Provincial/Ministerial Best Innovation Award, National Undergraduate E-Commerce "Innovation, Creativity, and Entrepreneurship" Challenge; National Third Prize (Advanced Communication+ Track), Chuanggongti Cup Frontier Technology Innovation Competition, among others.

Research Collaborations: Long-term research partnerships have been established with international institutions including Harvard Medical School, the University of Chicago Pritzker School of Medicine, and the Queen Square Institute of Neurology at University College London, as well as with major domestic medical institutions such as West China Hospital of Sichuan University. Through these collaborations, a multi-tiered research data ecosystem has been developed, spanning diverse populations and application scenarios—including a multimodal behavioral sensing and wearable device cohort, the UK Biobank cohort, the U.S. National Health and Aging Trends Study (NHATS) cohort, a longitudinal cohort study on physical activity and cognitive function in older Chinese adults, and cross-modal clinical research data covering various disease populations.

Graduate and Undergraduate Research Recruitment

We are continuously recruiting undergraduate students, master's students, and research assistants—both from Northwest A&F University and other institutions—who are interested in medical artificial intelligence, wearable computing, multimodal learning, and medical large language models. We look for candidates with a serious attitude toward learning, genuine research interest, team spirit, and a persistent drive for exploration. Applicants should have interest and some foundational background in artificial intelligence, data mining, or large language models. Students from diverse academic backgrounds—including Computer Science, Software Engineering, Public Health, Automation, Biomedical Engineering, and Medicine—are all welcome to apply. When reaching out, please briefly introduce your major, academic year, research interests, relevant background, and available time commitment, along with your CV.

By joining our team, you will have access to well-established international and domestic collaborative platforms, clinical data resources, and computational infrastructure, enabling participation in medical AI algorithm research, clinical data analysis, wearable device and mobile health system development, as well as clinical validation of research outcomes. Students actively engaged in research projects are eligible for corresponding research stipends. We also support students in applying for undergraduate innovation and entrepreneurship training programs, publishing papers, filing patents, participating in academic competitions, and attending domestic and international academic conferences. For students who demonstrate outstanding research performance and aspire to pursue further studies, we actively provide recommendations for graduate admission and academic exchange opportunities.