个人简介

苏海洋,男,工学博士,中山大学柔性电子学院副教授,博士生导师,博士后合作导师。主要从事柔性传感器件在疾病诊疗与健康管理中的应用研究。在Cell、Advanced MaterialsNature Communications、Advanced Functional Materials、Advanced Science等期刊发表论文20余篇。担任View、World Journal of Clinical Medicine期刊编委和Advanced Functional Materials、ACS Nano、Small、Materials Today Bio等多个期刊的审稿人。入选全国博士后创新人才支持计划和上海市“超级博士后”激励计划,获中华医学科技奖青年科学技术奖。

 

研究领域

质谱芯片材料,柔性传感器件,智能传感系统(用于疾病诊疗和健康管理)

 

课题组愿景与招生信息

课题组以“医工融合”为核心理念,聚焦于纳米材料、柔性电子、质谱分析、数据处理与生物医学的深度交叉,旨在研发新一代柔性传感器件,开发面向疾病诊疗与健康管理的先进技术。课题组将提供前沿的交叉学科研究平台、丰富的国内外交流机会,欢迎具有材料科学、电子科学与技术、生物医学工程、化学、生物、数据科学等相关专业背景,对交叉学科研究有浓厚兴趣的同学加入我们,共同探索柔性电子与生物医学的未至之境!

 

教育与工作经历

2025.09-至今,中山大学,柔性电子学院,副教授,博士生导师

2021.06-2025.08,上海交通大学,生物医学工程,博士后

2016.09-2021.03,上海交通大学,生物医学工程,博士

 

科研项目

  1. 中山大学,引进人才科研启动经费,100万元,2025-09至2028-08,主持
  2. 国家自然科学基金委,青年科学基金项目,30万元,2025-01至2027-12,主持
  3. 中国博士后科学基金会,博士后创新人才支持计划,63万元,2021-06至2023-05,主持
  4. 上海市人力资源和社会保障局,上海市“超级博士后”激励计划,30万元,2021-06至2023-05,主持
  5. 中华人民共和国科学技术部,国家重点研发计划,300万元,2022-06至2024-12,参与
  6. 中华人民共和国科学技术部,国家重点研发计划,300万元,2021-12至2024-11,参与

 

主要论文列表(#equal contribution,*通讯作者)

  1. Ziyue Zhang#, Yong Li#, Ruimin Wang, Shouzhi Yang, Peng Li, Kun Zhao, Yang Gu, Kexin Meng, Jinshuang Li, Jun Pu, Xiaoxiang Yan, Sai Gu, Haiyang Su*, Xiangqing Kong*, Kun Qian*. Plasmonic alloys enhance metabolic fingerprints for rapid diagnosis and classification of myocardial infarction. Nano Today, 2025, 62, 102702. 
  2. Kexin Meng#, Yao Shen#, Dongni Hou, Hanbing Hu, Shouzhi Yang, Ziyue Zhang, Ayizekeranmu Yiming, Dingyitai Liang, Weibin Tian, Ludan He, Shuoyan Wei, Ying Wang, Jie Shen, Yuanlin Song, Haiyang Su*, Jian Zhou*, Kun Qian*. Porous PtCu alloys decode plasma metabolic fingerprints for the recognition of severe community-acquired pneumonia. Advanced Healthcare Materials, 2025, 2403733. 
  3. Yanling Liu, Shouzhi Yang, Shunxiang Li, Yuning Wang, Xiaohui Liu, Wei Xu*, Haiyang Su*, Kun Qian*. Noble metal nanoparticles assisted mass spectrometry for metabolite-based in vitro diagnostics. Small, 2025, 21, 2409714.
  4. Haiyang Su#, Huiwen Zhang#, Jiao Wu#, Lin Huang, Mengji Zhang, Wei Xu, Jing Cao, Jing Yang, Wanshan Liu, Hongwei Jiang*, Xuefan Gu*, Kun Qian*. Fast label-free metabolic profile recognition identifies phenylketonuria and subtypes. Advanced Science, 2024, 11, 15,2305701.
  5. Haiyang Su#, Yuanlin Song#, Shouzhi Yang, Ziyue Zhang, Yao Shen, Lan Yu, Shujing Chen, Lei Gao, Cuicui Chen, Dongni Hou, Xinping Wei, Xuedong Ma, Pengyu Huang, Dejun Sun, Jian Zhou*, Kun Qian*. Plasmonic alloys enhanced metabolic fingerprints for diagnosis of COPD and exacerbations. ACS Central Science, 2024, 10, 2, 331-343. 
  6. Ziyue Zhang, Shouzhi Yang, Haiyang Su*, Kun Qian*. Porous noble metal-based nanomaterials in biomedical application. Advanced NanoBiomed Research, 2024, 4, 2, 2300078. 
  7. Mengfei Hou#, Haiyang Su#, Qinghe Wu, Wenshe Sun, Pengli Zhang, Yifei Jiang, Kun Qian*, Chunfu Zhang*. A self-enhancing nanoreactor reinforces radioimmunotherapy by reprogramming nutrients and redox metabolisms. Advanced Functional Materials, 2023, 33, 16, 2212510.
  8. Haiyang Su, Shunxiang Li, Guang-Zhong Yang*, Kun Qian*. Janus micro/nanorobots in biomedical applications. Advanced Healthcare Materials, 2022, 12, 16, 2202391. 
  9. Haiyang Su#, Xinxing Li#, Lin Huang#, Jing Cao, Mengji Zhang, Vadanasundari Vedarethinam, Wen Di, Zhiqian Hu, Kun Qian*. Plasmonic alloys reveal distinct metabolic phenotype of early gastric cancer. Advanced Materials, 2021, 33, 17, 2007978. 
  10. Haiyang Su, Qiang Tian, Cameron-Alexander Hurd Price, Lin Xu, Kun Qian*, Jian Liu*. Nanoporous core@ shell particles: design, preparation, applications in bioadsorption and biocatalysis. Nano Today, 2020,31,100834. 
  11. Haiyang Su#, Cameron-Alexander Hurd Price#, Lingyan Jing, Qiang Tian, Jian Liu*, Kun Qian*. Janus particles: design, preparation, and biomedical applications. Materials Today Bio, 2019, 4, 100033. 
  12. Haiyang Su, Tingting Liu, Lin Huang, Jingyi Huang, Jing Cao, Hengquan Yang, Jian Ye, Jian Liu*, Kun Qian*. Plasmonic Janus hybrids for the detection of small metabolites. Journal of Materials Chemistry B, 2018, 6, 44, 7280-7287. 
  13. Jing Cao#, Xuejiao Shi#, Deepanjali D. Gurav, Lin Huang, Haiyang Su, Keke Li, Jingyang Niu, Mengji Zhang, Qian Wang, Mawei Jiang*, Kun Qian*. Metabolic fingerprinting on synthetic alloys for medulloblastoma diagnosis and radiotherapy evaluation. Advanced Materials, 2020, 32, 23, 202000906. 
  14. Lin Huang, Lin Wang, Xiaomeng Hu, Sen Chen, Yunwen Tao, Haiyang Su, Jing Yang, Wei Xu, Vadanasundari Vedarethinam, Shu Wu, Bin Liu, Xinze Wan, Jiatao Lou, Qian Wang, Kun Qian*. Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma. Nature Communications, 2020, 11, 1, 3556. 
  15. Peng Dai#, Xin Wang#, Lan-Tao Gou#, Zhi-Tong Li#, Ze Wen#, Zong-Gui Chen, Min-Min Hua, Ai Zhong, Lingbo Wang, Haiyang Su, Huida Wan, Kun Qian, Lujian Liao, Jinsong Li, Bin Tian, Dangsheng Li, Xiang-Dong Fu, Hui-Juan Shi*, Yu Zhou*, Mo-Fang Liu*. A translation-activating function of MIWI/piRNA during mouse spermiogenesis. Cell, 2019, 179, 7, 1566-1581.