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,螺旋桨叶片流体优化
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, 上海工程技术大学,机械与汽车工程学院,副教授
2020.10–2023.12, 上海工程技术大学,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 ResearchFellow (Lv. B)
2018.01–2020.10, 上海工程技术大学,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
1. 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。(在研)
2. 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。(结题)
3. 2024,省部级纵向,上海市高水平地方高校项目-高水平人才团队,流体力学专用仿真平台,20万,授权主持1/1。(结题)
4. 2024,校级纵向,“外专计划”高端外国专家项目,8万,主持1/1。(结题)
5. 2020–2023,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。(结题)
6. 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。(结题)
7. 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。(结题)
8. 2017,省部级纵向,澳洲科学院和维省国土资源部,MathematicalAI 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。结题。
主持和参与横向项目
1. 2025–2028,横向,复旦附属徐中心医院,胆胰管流体力学研究和分析平台建设,40万,主持1/1。(在研)
2. 2025–2026,校企合作横向,上海徐汇区中心医院,胆胰管流体力学研究埃等离子体的流体性质研究及等离子体空气消毒设备的流体力学优化设计,160万,主持1/1。(在研)
3. 2024–2025,校企合作横向,苏州淞桦航空装备有限公司,重型无人机升力系统的流体力学仿真和结构优化,30万,主持1/3。(在研)
4. 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。(在研)
5. 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。(在研)
6. 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。
7. 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)
Google Scholar: https://scholar.google.com.au/citations?hl=en&user=21akawUAAAAJ&view_op=list_works
20 Career-BestResearch Outputs (sorted by year):
#: CorrespondingAuthor, *: Co-First Author
[1] Xueren Li*,Xiaojian Ni*, Yidan Shang#, Houbao Liu# etal. (2024), ‘The impact of choledochal cysts on bile fluid dynamics: Aperspective using computational fluid dynamics and surface mapping technique’,Physics of Fluids, vol. 36, pp. 061904 (Featured Article, IF=4, 中科院二区)
[2] Renquan Tu, YidanShang#et al. (2024), ‘Optimizing cabin air inlet velocities and personal riskassessment: Introducing the Personal Contamination Ratio method for enhancedaircraft cabin infection risk evaluation’, Plos One, 19(9), pp. e0309730 (IF =4)
[3] YidanShang,Jingliang Dong et al. (2022), ‘Detailed comparative analysis of environmentalmicroparticle deposition characteristics between human and monkey nasalcavities using a surface mapping technique’, Science of The Total Environment,vol. 853, pp. 158770, (IF = 8, 中科院一区)
[4] YidanShang,Jingliang Dong et al. (2022), ‘An improved numerical model for epidemictransmission and infection risks assessment in indoor environment’, Journal ofAerosol Science, vol. 162, pp. 105943, (IF = 4, cited 31 times)
[5] YidanShang,Yao Tao et al. (2021), ‘Deposition features of inhaled viral droplets may leadto rapid secondary transmission of COVID-19’, Journal of Aerosol Science, vol.154, pp. 105745, (IF = 4, cited 14 times)
[6] YidanShang,Rui Chen et al. (2021), ‘Quantification of long-term accumulation of inhaledultrafine particles via human olfactory-brain pathway due to environmentalemissions – a pilot study’, NanoImpact, vol. 22, pp. 100322, (IF = 5, cited 17times)
[7] YidanShang,Kiao Inthavong et al. (2021), ‘Prediction of nasal spray drug absorptioninfluenced by mucociliary clearance’, PloS One, vol. 16, no. 1, pp. e0246007,(IF = 4, cited 40 times)
[8] KiaoInthavong, Yidan Shang et al. (2020), ‘Characterizationof nasal irrigation flow from a squeeze bottle using computational fluiddynamics’,International Forum of Allergy & Rhinology, vol. 10, no. 1: p. 29-40, (IF =7, 中科院二区, cited25 times)
[9] YidanShang,Kiao Inthavong et al. (2019), ‘Development of a computational fluid dynamicsmodel for mucociliary clearance in the nasal cavity’, Journal of Biomechanics,vol. 85, pp. 74–83, (IF = 3, cited 42 times)
[10] YidanShang,Jingliang Dong et al. (2019). ‘Detailed computational analysis of flow dynamicsin an extended respiratory airway model’, Clinical Biomechanics, vol. 61:105-111. (IF = 2, cited 55 times)
[11] YidanShang,Kiao Inthavong et al. (2019), ‘Numericalassessment of ambient inhaled micron particle deposition in a human nasalcavity’,Experimental and Computational Multiphase Flow, vol. 1, pp. 109-115. (IF=4, 中科院二区, cited 27 times)
[12] Lin Tian, YidanShanget al. (2019), ‘Correlationof regional deposition dosage for inhaled nanoparticles in human and ratolfactory’,Particle and Fibre Toxicology, vol. 16, no. 1, (IF = 9, 中科院一区, cited 82 times)
[13] Xiangdong Li,YidanShanget al. (2018), ‘Modellingof evaporation of cough droplets in inhomogeneous humidity fields using themulti-component Eulerian-Lagrangian approach’, Building and Environment, vol. 128, pp. 68–76, (IF = 7, 中科院一区, cited 156 times)
[14] Qike Wang, YidanShanget al. (2018). ‘Antennalscales improve signal detection efficiency in moths’, Proceedings ofthe Royal Society B: Biological Sciences, vol. 285, no. 1874: 20172832, (IF =4, 中科院一区, cited35 times)
[15] JingliangDong, YidanShanget al. (2018), ‘Partitioningof dispersed nanoparticles in a realistic nasal passage for targeted drugdelivery’, vol.543(1-2), pp. 83-95, International Journal of Pharmaceutics (IF=5, 中科院二区, cited 27 times)
[16] YidanShang,Jingliang Dong et al. (2017), ‘Computational fluid dynamics analysis of wallshear stresses between human and rat nasal cavities’ European Journal ofMechanics-B/Fluids, vol. 61: 160-169, (IF = 3, cited 16 times)
[17] Lin Tian, YidanShanget al. (2017), ‘Acombined experimental and numerical study on upper airway dosimetry of inhalednanoparticles from an electrical discharge machine shop’, (IF=9, 中科院一区, cited 28 times)
[18] JingliangDong, YidanShanget al. (2016). ‘From the cover: comparative numerical modeling of inhalednanoparticle deposition in human and rat nasal cavities’, ToxicologicalSciences, vol. 152, no. 2: 284-296, (Cover Paper, IF = 4, cited 45 times)
[19] YidanShang,Kiao Inthavong et al. (2015), ‘Detailed micro-particle deposition patterns inthe human nasal cavity influenced by the breathing zone’, Computers &Fluids, vol. 114, pp. 141–150, (IF = 3, cited 110 times)
[20] YidanShang,Jingliang Dong et al. (2015). ‘Comparative numerical modeling of inhaledmicron-sized particle deposition in human and rat nasal cavities’, InhalationToxicology, vol. 27(13): 694-705. (IF = 3, cited 71 times)
专利:
[1] 发明专利,基于CFD的胆道模型构建方法以及微流控系统,申请号2024105797269,申请公布号CN118485018A
主要荣誉:
· 2024,上海工程技术大学,机械与汽车工程学院,年度优秀教师。
· 2022,上海工程技术大学,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MCMMeritorious Award(一等奖,前5%)。
· 2007,全国物理竞赛浙江赛区一等奖,全国三等奖。