个人信息:
姓名:商逸澹 职称:副教授
专业:生物医学工程 学历层次:博士
办公室地点:8号楼B617
办公电话:13871555478
电子邮箱:yidan.shang@sues.edu.cn
研究方向:计算与实验流体力学,呼吸道流体力学与药物递送,消化道流体力学
主讲课程:《计算流体力学》,《热工学基础》,《机器视觉的基础与应用》,《先进航空装备与航空工业发展》,《飞行安全》
个人简介:(教育背景、工作经历)
教育经历:
2012.08-2017.09皇家墨尔本理工大学,工程学院工学博士
2008.09-2012.07中国科学技术大学,物理学院理学学士
工作经历:
2024.01–至今,必赢76net线路,必赢76net线路,副教授
2020.10–2023.12,必赢76net线路,航空运输学院,副教授
2020.10–2023.05,皇家墨尔本理工大学,工程学院,Adjunct Research Fellow (Lv. B)
2018.01–2020.10,必赢76net线路,航空运输学院,兼职副教授
2017.09–2020.09,皇家墨尔本理工大学,工程学院,Research Officer (Lv. A)
主要科研项目:
主持纵向项目
2024–2027,国家级纵向,国家自然科学基金面上项目,吸入制剂在呼吸道中的动力学研究及不同人群的药物递送优化,49万,主持1/3。
2024,省部级纵向,上海市高水平地方高校项目,医疗机器人智能流体科研平台,40万,授权主持1/1。
2020–2022,省部级纵向,上海市教委,上海市“青年东方”人才项目,60+ 60万学校配套,主持1/1。
2020–2021,校级纵向,职业安全健康北京市重点实验室,超细颗粒物CFD呼吸道沉积模拟评估软件的开发及优化,5万,主持1/1。
2019–2021,国家级纵向,国家自然科学青年基金,生产性粉尘的几何特征及理化性质对其在人体呼吸道内的动力学特征的影响,21万,主持1/2。
2017,省部级纵向,澳洲科学院和维省国土资源部,Mathematical AI modelling of powerline-fault vegetation detection challenge(利用AI建模来探测造成高压线短路起火的植物类型),1万澳元,主持1/2。
主持和参与横向项目
2024–2025,校企合作横向,嘉兴淞棋复合材料有限公司,飞行汽车涵道螺旋桨翼型流体力学仿真与优化,10万,主持1/3。
2023–2024,校企合作横向,长风药业有限公司,新型鼻喷装置的流体力学解析与优化,20万,主持1/3。
2022–2024,校企合作横向,甘肃方正节能科技服务有限公司,规模化生物天然气工程关键技术研究与应用,70万,参与3/4。
2022–2023,校企合作横向,清华大学,非能动余热系统T型接头管与变径管组合型式的内旋流动的实验测量和计算分析,15.8万,参与3/4。
主要科研成果:(代表性论文、专利、著作等)
代表性论文
[1] Xueren Li, Xiaojian Ni, Yidan Shang#, Houbao Liu# et al. (2024), ‘The impact of choledochal cysts on bile fluid dynamics: A perspective using computational fluid dynamics and surface mapping technique’, Physics of Fluids, vol. 36, pp. 061904 (Featured Article, 二区)
[2] Yidan Shang, Jingliang Dong et al. (2022), ‘Detailed comparative analysis of environmental microparticle deposition characteristics between human and monkey nasal cavities using a surface mapping technique’, Science of The Total Environment, vol. 853, pp. 158770 (一区, IF=10)
[3] Yidan Shang, Jingliang Dong et al. (2022), ‘An improved numerical model for epidemic transmission and infection risks assessment in indoor environment’, Journal of Aerosol Science, vol. 162, pp. 105943 (cited 25 times)
[4] Yidan Shang, Rui Chen et al. (2021), ‘Quantification of long-term accumulation of inhaled ultrafine particles via human olfactory-brain pathway due to environmental emissions – a pilot study’, NanoImpact, vol. 22, pp. 100322 (cited 12 times)
[5] Yidan Shang, Yao Tao et al. (2021), ‘Deposition features of inhaled viral droplets may lead to rapid secondary transmission of COVID-19’, Journal of Aerosol Science, vol. 154, pp. 105745 (cited 13 times)
[6] Yidan Shang, Kiao Inthavong et al. (2021), ‘Prediction of nasal spray drug absorption influenced by mucociliary clearance’, PloS One, vol. 16, no. 1, pp. e0246007 (cited 37 times)
[7] Kiao Inthavong, Yidan Shang et al. (2020), ‘Characterization of nasal irrigation flow from a squeeze bottle using computational fluid dynamics’, International Forum of Allergy & Rhinology, vol. 10, no. 1: p. 29-40 (二区, cited 24 times, IF=7)
[8] Yidan Shang, Kiao Inthavong et al. (2019), ‘Development of a computational fluid dynamics model for mucociliary clearance in the nasal cavity’, Journal of Biomechanics, vol. 85, pp. 74–83 (cited 40 times)
[9] Yidan Shang, Jingliang Dong et al. (2019). ‘Detailed computational analysis of flow dynamics in an extended respiratory airway model’, Clinical Biomechanics, vol. 61: 105-111 (cited 52 times)
[10] Lin Tian, Yidan Shang et al. (2019), ‘Correlation of regional deposition dosage for inhaled nanoparticles in human and rat olfactory’, Particle and Fibre Toxicology, vol. 16, no. 1 (一区, IF=10, cited 72 times)
[11] Xiangdong Li, Yidan Shang et al. (2018), ‘Modelling of evaporation of cough droplets in inhomogeneous humidity fields using the multi-component Eulerian-Lagrangian approach’, Building and Environment, vol. 128, pp. 68–76 (一区, IF=7, cited 135 times)
[12] Qike Wang, Yidan Shang et al. (2018). ‘Antennal scales improve signal detection efficiency in moths’, Proceedings of the Royal Society B: Biological Sciences, vol. 285, no. 1874: 20172832 (一区, IF=5, cited 33 times)
[13] Yidan Shang, Jingliang Dong et al. (2017), ‘Computational fluid dynamics analysis of wall shear stresses between human and rat nasal cavities’, European Journal of Mechanics-B/Fluids, vol. 61: 160-169 (cited 15 times)
[14] Jingliang Dong, Yidan Shang et al. (2016). ‘From the cover: comparative numerical modeling of inhaled nanoparticle deposition in human and rat nasal cavities’, Toxicological Sciences, vol. 152, no. 2: 284-296 (Featured Article, cited 43 times)
[15] Yidan Shang, Kiao Inthavong et al. (2015), ‘Detailed micro-particle deposition patterns in the human nasal cavity influenced by the breathing zone’, Computers & Fluids, vol. 114, pp. 141–150, (cited 101 times)
[16] Yidan Shang, Jingliang Dong et al. (2015). ‘Comparative numerical modeling of inhaled micron-sized particle deposition in human and rat nasal cavities’, Inhalation Toxicology, vol. 27(13): 694-705 (cited 68 times)
专利:
[1] 发明专利,一种基于计算流体力学和表面映射技术的胆道疾病分析方法,申请号2024105797269
主要荣誉:
2022,必赢76net线路新进教师岗前培训(因疫情推迟),优秀新进教师(共10人)。
2019,上海市青年东方 学者。
2017,澳洲科学院和维州政府“高压线短路火灾植物类型探测数学建模竞赛”冠军。
2016,中国优秀自费留学生奖学金,8千澳元。
2016,皇家墨尔本理工大学优秀博士生奖学金,3万澳元。
2013–2015,皇家墨尔本理工大学国际交流奖学金,总计6千澳元。
2011,数学竞赛美国赛MCM Meritorious Award(一等奖,前5%)。
2007,全国物理竞赛浙江赛区一等奖。