师资队伍

臧剑，重庆大学弘深青年教师、助理研究员、博士。英国纽卡斯尔大学土木工程-环境工程博士毕业，新加坡国立大学国家公派访问学者。印度理工大学土木工程系研究员（2018-2020）。国家科技局项目负责人，全球卓越工程师大赛揭榜挂帅项目负责人，重庆市博士后特别资助项目负责人，致力于未来智慧城市相关系统全生命周期改进设计、室内人员健康及空气品质保障、低碳运维管理设计改进、污染物控制和数字孪生运维相关科学知识探索与关键技术突破研究。他在《Journal of environmental management》《Bioresource Technology》《Building and Environment》等发表学术论文近20篇，他同时也是国际IWA水资源保护协会的青年研究学者会员，国际期刊Building and Environment (IF 7.05)审稿人， 国际杂志《Biogeotechnics》《Journal of Data Science and Intelligent Systems》青年编委，国家十四五重点研发计划研究项目参与人，UKIERI国际合作重大项目赴印度理工大学学生负责人, EPSRC（UKCRIC、Urban Observation）特大新时代数字孪生智慧建筑项目参与人。

城镇人员健康及环境品质保障、韧性城市低碳运维、污染物监测及控制、数字孪生城市，精细化城市管理

协助主讲  
《建筑环境学》  
助理授课  
《Sustainable building design and management》  
《Academic writing》  
《Environmental quality and wellbeing》

国际IWA水资源保护协会的青年研究学者会员  
国际期刊《Building and Environment》 (SF 7.05) 审稿人 (ISSN: 0360-1323)  
国际期刊《Biogeotechnics》青年编委  
国际杂志《Journal of Data Science and Intelligent Systems》编委 （eISSN: 2972-3841）

Zang, J., Royapoor, M., Acharya, K., Jonczyk, J. and Werner, D. (2022) 'Performance gaps of sustainability features in green award-winning university buildings', Building and Environment, 207, p. 108417.  
Zang, J., Kumar, M., and Werner, D. (2020) 'Real-world sustainability analysis of an innovative decentralized water system with rainwater harvesting and wastewater reclamation', Journal of Environmental Management, p. 111639.  
Rahul Silori1, Jian Zang1 , Nirav P Raval, Balendu Shekher Giri, Jürgen Mahlknecht, Abrahan Mora, Jaime Dueñas-Moreno, Syed Mohammad Tauseef, Manish Kumar*.(2023), Adsorptive removal of ciprofloxacin and sulfamethoxazole from aqueous matrices using sawdust and plastic waste-derived biochar: A sustainable fight against antibiotic resistance，Bioresource Technology，Volume 387，2023 Nov，129537  
Jian Zang* (2023) Urban Water Operational Robustness Failure Preliminary Study: Step Forward Solution to Resilience Improvement of Future Sustainable City, Springer Nature.  
Fang, Xushen, Zang, Jian*, Zhai Zhenggang, Zhang Li, Shu Ziyu, and Liang Yuqi, Exploring potential dual-stage attention based recurrent neural network machine learning application for dosage prediction in intelligent municipal management.  
Fang，XS., Zang,J, Zhai,ZG. and Yunya, Zhu. (2021) 'An Intelligent Dosing Algorithm Model for Wastewater Treatment Plant'.,2021 International Symposium on water, ecology, and environment  
Zang, J.and Werner,D.(2021), Water Energy Nexus Efficiency Analysis: Underperformance water cycle system solution based on IoT monitoring, IWA WIN2021,Aug  
Zang, J.,Kumar,M.,and Werner,D.(2021), Real-world water distribution issue and a decentralized water supply case study with different water saving technologies, H70 Global Water Security Symposium, Jan  
Zang, J.and Werner,D.(2020), New method for water baseflow analysis based on real world data with quick PCR and DNA sequencing toolbox, 5C's of water vulnerability symposium, Feb  
Zang, J.and Werner,D.(2019), New method for water and baseflow analysis based on real world data, IWA MEWE2019, Nov  
Zang, J.and Werner,D.(2019), New water analysis method and the benefits for future new style safe water supply and portable environmental lab toolbox, Cardiff EPSRC conference,Sep  
Zang, J.and Werner,D.(2019), Real world water sustainability analysis, case study: Newcastle University, NSE-20 symposium, Nov

EPSRC-COVID-19-IMPACT-SCHOLARSHIP (2020,2021)  
全球卓越工程师大赛揭榜挂帅项目优秀成果转化奖

协助合作导师培养硕士研究生

联系邮件：Jian.zang@cqu.edu.cn  
联系地址：重庆市重庆大学B区土木工程学院