范凌杰，男，汉族，1999年2月出生，重庆人，博士，西北农林科技大学信息工程学院副教授、硕士生导师。2021年通过直接攻读博士学位方式进入四川大学计算机学院（软件学院）计算机科学与技术专业学习，并于2026年6月获工学博士学位。主要从事医学人工智能、人机交互与可穿戴计算相关研究，重点关注人工智能与可穿戴技术在疾病诊断、预后康复、行为监测和个性化干预中的应用，相关成果发表于Nature子刊、IEEE Transactions汇刊、及一区Top等期刊与CCF-A类会议。相关研究入选美国癌症研究协会年会AACR Oral。获得中国虚拟现实大赛全国一等奖、全国大学生物联网大赛一等奖、博士研究生国家奖学金、四川大学优秀博士研究生等奖项荣誉。

[1] Fan L(范凌杰)#, 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(范凌杰), 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(范凌杰), 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(范凌杰)*, 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(范凌杰)#, 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(范凌杰), 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(范凌杰), 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(范凌杰), 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(范凌杰), 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(范凌杰)#, 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(范凌杰)#, 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(范凌杰)#, 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(范凌杰)*. 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(范凌杰)*, 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(范凌杰)*. 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(范凌杰), 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(范凌杰), 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(范凌杰), 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(范凌杰), 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(范凌杰), 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(范凌杰)#, Li J et al.Association of apolipoprotein E gene with risk, cognition, and prognosis of epilepsy. Human genetics, 2026.

[1] 科技创新2030——“癌症、心脑血管、呼吸和代谢性疾病防治研究”重大专项：我国重大慢病防治适宜技术推广机制、模式与示范，2025，参与。

[2] 国家重点研发计划“主动健康和人口老龄化科技应对”专项：中国老年人常见运动、认知功能障碍评测及个性化干预前沿技术研究，2024，参与/课题骨干。

[3] 国家重点研发计划项目：老年失能综合评估与管理模式研发，2023，参与。

[4] “渝创渝新”启航计划资助项目：儿童动商评估与干预系统的研究与开发，2021，主持。

[5] “优创优帮”大学生创业扶持计划，2021，主持。

[6] 国家级大学生创新创业训练计划项目，2019，主持。

学术服务：担任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及Population Health Metrics等数字医学、公共卫生领域国际期刊审稿人。

科创奖项：中国虚拟现实大赛全国一等奖；薪火杯软件设计大赛特等奖；大学生全国物联网大赛全国一等奖；计算机能力挑战大赛西南赛区一等奖；第六届中国国际互联网＋创新创业大赛省部级金奖；第五届中国国际互联网＋创新创业大赛省部级银奖；优路杯软件设计大赛二等奖；全国大学生电子商务“创新、创意及创业”挑战赛省部级一等奖；全国大学生电子商务“创新、创意及创业”挑战赛省部级最佳创新奖；创共体杯前沿科技创新大赛“先进通信+”主题赛全国三等奖等奖项。

科研合作：与哈佛医学院、芝加哥大学医学院、伦敦大学学院皇后广场神经病学研究所等海外科研机构，以及四川大学华西医院等国内大型医疗机构建立了长期科研合作关系。依托上述合作，已形成覆盖不同人群与应用场景的多层次研究数据资源，包括多模态行为感知与可穿戴队列、英国生物银行队列、美国国家健康与老龄化趋势研究队列、中国老年人运动与认知功能纵向队列，以及面向不同疾病人群的跨模态临床研究数据。

我们长期招收对医学人工智能、可穿戴计算、多模态学习和医学大语言模型感兴趣的校内外本科生、硕士研究生与科研助理。希望你学习态度认真，具有科研兴趣、团队意识和持续探索精神。对人工智能、数据挖掘或大语言模型感兴趣并具有一定基础。欢迎计算机、软件工程、公共卫生、自动化、生物医学工程及医学等不同专业背景的你。联系时请简要介绍专业、年级、研究兴趣、已有基础和可投入时间，并附个人简历。

加入我们，我们具有较为完善的海内外合作平台、临床数据资源与算力条件，可支持学生参与医学人工智能算法研究、临床数据分析、可穿戴设备与移动医疗系统开发，以及科研成果的临床验证。积极参与课题可享有相应项目助研补贴。并支持积极申报大学生创新创业训练计划、论文发表、专利申请、参加学科竞赛和国内外学术会议。对科研表现优秀并有志于继续深造的学生，积极提供升学与合作交流推荐。