祁炜 - 清华大学 - 工业工程系

个人简介

祁炜博士现为清华大学工业工程系长聘副教授，国家高层次人才计划入选者。加入清华前，于2017年至2022年任加拿大麦吉尔大学管理学院助理教授、（终身）副教授，兼任美国劳伦斯伯克利国家实验室中国能源研究室战略顾问。 2010年本科毕业于浙江大学竺可桢学院和控制工程与科学系，2011年硕士毕业于加州大学洛杉矶分校化学与分子生物工程系，2015年博士毕业于美国加州大学伯克利分校工业工程与运筹系。曾在劳伦斯伯克利国家实验室任博士后研究员，在美国硅谷高科技公司承担算法开发工作。祁炜团队的研究方向是 “智慧城市运筹学”，即从运筹学的观点来审视和解决当今城市发展中涌现出的各种新挑战，例如电网交通网耦合、最后一公里物流、共享经济、气候韧性等。反过来，研究这些问题亦有助于推动运筹学理论（如离散优化、排队论、数据驱动优化）的发展。他的研究发表在运筹学和管理科学国际顶尖期刊，例如 Operations Research 和 Management Science，并受邀广泛在国际国内的会议和高校进行报告。其跨学科研究还发表在 IEEE Transactions on Power Systems 和 IEEE Transactions on Smart Grid 等权威系统工程期刊上。曾获 INFORMS SOLA Chuck ReVelle Rising Star 奖，INFORMS ENRE 能源领域最佳论文奖等学术荣誉。祁炜博士领导多个国内与国际资助的研究项目，例如国家自然科学基金委员会重点专项项目、中国国家自然科学基金委员会-加拿大魁北克研究基金会智慧城市和大数据研究计划。曾主持一系列项目得到加拿大和魁北克省主要资助机构支持，如加拿大自然科学与工程研究理事会(NSERC)、加拿大社会科学和人文科学研究理事会(SSHRC)、数据评估研究院(IVADO)等。合作研究机构包括加拿大蒙特利尔交通署等国内外政府和企业。工作经历 2022至今：清华大学，长聘副教授、国家高层次人才计划入选者 2017-2022：加拿大麦吉尔大学，助理教授、（终身）副教授 2016-2022：美国劳伦斯伯克利国家实验室，博士后研究员、（兼任）战略顾问教育背景博士，加州大学伯克利分校硕士，加州大学洛杉矶分校学士，浙江大学学术荣誉 INFORMS 能源领域年度最佳论文奖, 2022 MSOM 数据驱动研究竞赛一等奖，2022 INFORMS 服务科学最佳论文奖第二名，2022 Third Place, Best Paper Award Competition, 2022 Digital Supply Chain and Supplier Diversity Conference Honorable Mention, 2022 Student Paper Competition of College of Sustainable Operations of POMS (awarded to Wenqing Ai) INFORMS 选址分析领域新星奖（每两年颁发一次）Chuck ReVelle Rising Star Award, 2021 Best Paper Award Finalist, CSAMSE（华人学者管理科学与工程年会） 2021 Best Student Paper Award Finalist, 2021 INFORMS Conference On Service Science 麦吉尔大学管理学院最高教学荣誉 Distinguished Teaching Award - Top Undergraduate Teacher of Year 2019-2020 of Desautels Faculty of Management, McGill University M&SOM 优秀审稿人, 2020 M&SOM 优秀审稿人, 2019 Top Downloaded Paper, 2018-2019, Production and Operations Management

研究领域

智慧城市运筹气候韧性城市（例如：应对极端干旱、应对极端暴雨）敏捷韧性城市物流（例如：无人零售车、众包配送、在线设施选址）以新能源汽车为结点的电网交通网耦合（例如：换电基础设施规划、共享无人电动汽车运行）共享经济（例如：共享电动汽车、多渠道能源共享）

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

专长：能源与交通系统： Farsighted Stability of Distributed Energy Resource Sharing. W. Ai, T. Deng, W. Qi. Applied Energy, accepted in 2022. A Second Order Cone Programming Model for PEV Fast-Charging Station Planning. H. Zhang, S. J. Moura, Z. Hu, W. Qi and Y. Song. IEEE Transactions on Power Systems, vol.33, no.3, pp. 2763-2777, May 2018. Joint Planning of PEV Fast-Charging Network and Distributed PV Generation Using the Accelerated Generalized Benders Decomposition. H. Zhang, S. J. Moura, Z. Hu, W. Qi and Y. Song. IEEE Transactions on Transportation Electrification, 4.3 (2018): 789-803. Coordinating and Sharing Demand-Side Energy Resources - A Conceptual Design. W. Qi, B. Shen, H. Zhang and Z. M. Shen. Energy, vol.135, 15 September 2017, Pages 455–465. Hierarchical Coordinated Control of Plug-in Electric Vehicles Charging in Multi-family Dwellings. W. Qi, Z. Xu, Z. M. Shen, Z. Hu and Y. Song. IEEE Transactions on Smart Grid, vol.5, no.3, pp.1465-1474, May 2014. Distributed Supervisory Predictive Control of Distributed Wind and Solar Energy Generation Systems. W. Qi, J. Liu and P. D. Christofides. IEEE Transactions on Control Systems Technology, 21, 504-512, 2013. Supervisory Predictive Control for Long-Term Scheduling of an Integrated Wind/Solar Energy Generation and Water Desalination System. W. Qi, J. Liu and P. D. Christofides. IEEE Transactions on Control Systems Technology, 20, 504-512, 2012. A Distributed Control Framework for Smart Grid Development: Energy/Water System Optimal Operation and Electric Grid Integration. W. Qi, J. Liu and P. D. Christofides. Journal of Process Control, 21, 1504-1516, 2011. Supervisory Predictive Control of Stand-Alone Wind-Solar Energy Generation Systems. W. Qi, J. Liu, X. Chen and P. D. Christofides. IEEE Transactions on Control Systems Technology, 19, 199-207, 2011. 会议论文、技术报告 T. Wang, C. Wu, W. Qi, "On Data-driven Multi-Product Pricing," American Control Conference (ACC), New Orleans, Louisiana, May 2021. Also published in IEEE Control Systems Letters, vol. 5, no. 5, pp. 1687-1692, Nov. 2021. H. Zhang, S. J. Moura, Z. Hu, W. Qi, and Y. Song, "Joint PEV Charging Station and Distributed PV Generation Planning," IEEE Power & Energy Soc. Gen. Meeting, 2017. H. Zhang, W. Qi, Z. Hu, and Y. Song, "Planning Hydrogen Refueling Stations with Coordinated On-Site Electrolytic Production," IEEE Power & Energy Soc. Gen. Meeting, 2017. W. Qi, J. Liu, and P. D. Christofides. A two-time-scale framework for supervisory predictive control of an integrated wind/solar energy generation and water desalination system. In Proceedings of the American Control Conference, pages 2677-2682, San Francisco, California, 2011. W. Qi, J. Liu and P. D. Christofides. Supervisory predictive control of an integrated wind/solar energy generation and water desalination system. In Proceedings of the 9th International Symposium on Dynamics and Control of Process Systems, pages 821-826, Leuven, Belgium, 2010. Dupuy, Max, Fredrich Kahrl, Frederick Weston, Bo Shen, Andy Satchwell, Peter Cappers, Jennifer Potter, Wei Qi, Ella Zhou, Yingchen Zhang, John Barnett, Travis Lowder, and Lars Bregnbaek. Power Consumption, Demand and Competition Cooperation: Recommendations for the Pilots in Guangdong, Jilin, Jiangsu, and Shanghai. 2017. Qi, Wei, Roger Sathre, William R Morrow, III, and Arman Shehabi. Unit price scaling trends for chemical products. Berkeley, 2015. LBNL-189844. 专著章节 He L., Ma G., Qi W., Wang X., Hou S. (2022) Planning and Management of Charging Facilities for Electric Vehicle Sharing. In: Pardalos P.M., Rassia S.T., Tsokas A. (eds) Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities. Springer Optimization and Its Applications, vol 186. Springer, Cham.