姓        名：李韵琴
职务职称：讲师，日本大阪大学客座研究员
电子邮箱：liyunqin@ncu.edu.cn
研究方向：新数据、新技术、新方法支撑下的空间审计、测度、感知、理解与交互
主讲课程:《建筑设计基础1》、《专业外语》、《环境心理学》等
研究成果：

发表SCI和国际顶级会议论文十余篇，以第一作者于顶级SCI期刊《Landscape and Urban Planning》、《Sustainable Cities and Society》发表论文三篇，以第一作者发表国际顶级会议三篇。现任高水平国际期刊《CITIES》审稿人，国际顶级会议欧洲计算机辅助建筑设计会议（ecaade）审稿人。

代表性论文

l Li, Y., Yabuki, N.*, & Fukuda, T. (2022). Exploring the association between street built environment and street vitality using deep learning methods. Sustainable Cities and Society, 79, 103656.(SCI,中科院工程技术1区top， IF=10.696)

l Li, Y., Yabuki, N.*, & Fukuda, T. (2022). Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkability. Landscape and Urban Planning, 230, 104603.(SCI,中科院分区：环境科学与生态学1区top， IF=8.119)

l Li, Y., Yabuki, N.*, & Fukuda, T. Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning. Sustainable Cities and Society, 86, 104140.(SCI,中科院工程技术1区top， IF=10.696)

l Tang, Y., Zhang, J., Liu, R.*, &Li, Y. (2022). Exploring the Impact of Built Environment Attributes on Social Followings Using Social Media Data and Deep Learning. ISPRS International Journal of Geo-Information, 11(6), 325. (SCI,中科院地球科学3区， IF=2.899)

l Ma, K.*, Wang, B., Li, Y., & Zhang, J. (2022). Image Retrieval for Local Architectural Heritage Recommendation Based on Deep Hashing,Buildings, 12(6), 809.(SCI,中科院工程技术4区，IF：2.703)

l Hu, J., Zhang, J.*, &Li, Y. (2022). Exploring the spatial and temporal driving mechanisms of landscape patterns on habitat quality in a city undergoing rapid urbanization based on GTWR and MGWR: the case of Nanjing. Ecological Indicators, 143, 109333. (SCI,中科院环境科学与生态学2区，IF=4.958)

国际会议宣讲

l Li, Y., Yabuki, N., Fukuda, T. (2022). A virtual reality-based tool with human behavior measurement and analysis for feedback design of the indoor light environment. The 4th Conference on Computational Design and Robotic Fabrication (CDRF 2022), Online, June 2022.

l Li, Y., Yabuki, N., Fukuda, T., & Zhang, J. (2020). A big data evaluation of urban street walkability using deep learning and environmental sensors-a case study around Osaka University Suita campus. The 38th Conference of the Education and research in Computer Aided Architectural Design in Europe (eCAADe 2020), Technische Universität Berlin, September 2020.（EI会议）

l Li, Y., Zhang, J., & Yu, C. (2019). Intelligent multi-objective optimization method for complex building layout based on pedestrian flow organization - a case study of people's court building in Anhui, China. The 24th Annual Conference of the Computer Aided Architectural Design Research Association of Asia (CAADRIA 2019), Wellington, New Zealand, April 2019.（EI会议）

所获奖项

Ÿ 国家奖学金，2014-2015年学年

Ÿ “大阪大学博士课程奖学金”

Ÿ 东南大学“建筑学院大巢优学基金”

Ÿ 2016年南昌大学“优秀毕业生”称号

Ÿ “江苏省研究生学术创新论坛（2017）——‘数字+’与变化的长三角”活动中佳作奖

Ÿ 2014年第五届全国高等院校“斯维尔”杯bim建模大赛建筑节能及日照分析专项一等奖(全国第五名)，建筑设计专项二等奖；建设工程VR仿真系统专项二等奖；团队全能二等奖等，共八个奖项