胡轩 - 重庆大学 - 公共管理学院

个人简介

教育背景 2013.09-2018.05 美国罗格斯大学工程管理博士 2011.09-2012.11 香港科技大学土木基础建设及管理硕士 2007.09-2011.06中南大学土木工程（桥梁工程）学士工作经历： 2012.12-2013.06 香港黄志明建筑师有限公司助理工程师 2014.09-2015.08 罗格斯大学土木与环境工程学院Teaching Assistant（助教） 2015.09-2018.05 Center for Advanced Infrastructure and Transportation (CAIT) , Rutgers（美国大学重点基础设施和交通实验室）助理研究员参与过的科研项目 · Hurricane Harvey Rapid Funded by U.S. National Science Foundation (NSF) · ” Rebuilding with Greater Resiliency – Phase 1” Funded by Federal Emergency Management Agency (FEMA) · “Development of an Online Platform for Streamlining Highway LiDAR Data Collection, Sharing, and Processing” Funded by U.S Department of Transportation (USDOT) · “Mobile Hybrid LiDAR & Infrared Sensing for Natural Gas Pipeline Monitoring” Funded by U.S Department of Transportation (USDOT) · Bridge Resource Program (BRP), by Center for Advanced Infrastructure and Transportation (CAIT) 计算机顶级会议 · Renart, E., Balouek-Thomert, D., Hu, X., Gong, J., & Parashar, M. (2016). Online Decision-Making Using Edge Resources for Content-Driven Stream Processing. 13th IEEE eScience Conference, Auckland, New Zealand, Oct 24-27 Oct. (计算机超算领域国际顶级会议) 专著章节 · Hu, X., & Gong, J. (2018). Advancing Smart and Resilient Cities with Big Spatial Disaster Data. In Data Analytics for Smart Cities (pp. 67-104). Auerbach Publications.

研究领域

研究方向:智慧城市、应急救灾决策，空间数据分析，海岸社区韧性等

近期论文

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期刊论文: · Hu, X., Liu, B., Wu, Z. Y., & Gong, J. (2016). Analysis of dominant factors associated with hurricane damages to residential structures using the rough set theory. Natural Hazards Review, 17(3), 04016005. · Zhou, Z., Gong, J., & Hu, X. (2019). Community-scale multi-level post-hurricane damage assessment of residential buildings using multi-temporal airborne LiDAR data. Automation in Construction, 98, 30-45. · Hatzikyriakou, A., Lin, N., Gong, J., Xian, S., Hu, X., & Kennedy, A. (2015). Component-based vulnerability analysis for residential structures subjected to storm surge impact from hurricane Sandy. Natural Hazards Review, 17(1), 05015005. · Liu, B., Huo, T., Liang, Y., Sun, Y., & Hu, X. (2016). Key Factors of Project Characteristics Affecting Project Delivery System Decision Making in the Chinese Construction Industry: Case Study Using Chinese Data Based on Rough Set Theory. Journal of Professional Issues in Engineering Education and Practice, 05016003. · Liu, B., Huo, T., Liao, P. C., Yuan, J., Sun, J., & Hu, X. (2017). A Special Partial Least Squares (PLS) path decision modeling for bid evaluation of large construction projects. KSCE Journal of Civil Engineering, 21(3), 579-592.