贾庆山 副教授
智能与网络化系统研究中心
通信地址：北京清华大学自动化系智网中心 邮政编码：100084
联系电话： Fax:
Email: jiaqs@tsinghua.edu.cn

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教育背景

1998年8月至2002年7月 清华大学自动化系自动化专业学习，获工学学士学位；
2002年8月至2006年7月 清华大学自动化系控制科学与工程专业学习，获工学博士学位


工作履历

2006年8月至2010年11月 清华大学自动化系，讲师
2010年12月至2015年12月 清华大学自动化系，副教授
2016年1月至今 清华大学自动化系，长聘副教授
2006年8月至2007年2月 哈佛大学，访问
2010年4月至2010年6月 香港科技大学，访问
2013年3月至2013年8月 麻省理工学院，访问

学术兼职

委员
2018-2022, 中国自动化学会第十一届控制理论专业委员会委员兼副秘书长
2016-2020, 中国自动化学会第一届工业控制系统信息安全专业委员会委员
2018-至今, IEEE CASE Steering Committee委员
2017, IEEE控制系统协会Board of Governors委员
2016-至今, IEEE Internet of Things Activity Board委员
专委会主席
2015-至今, IFAC智慧城市控制专业委员会主席
2012-至今, IEEE控制系统协会北京分会主席
2012-至今, IEEE机器人与自动化协会智能建筑专业委员会副主席
2012-2015, IEEE控制系统协会离散事件系统专业委员会主席
副编辑
2019-2021IEEE Control Systems Letter
2015-至今IEEE Transactions on Automatic Control
2012-2018IEEE Control Systems Society Conference Editorial Board
2012-2017IEEE Transactions on Automation Science and Engineering
2012-2016Discrete Event Dynamic Systems: Theory and Applications
2013-至今IEEE ICRA (International Conference on Robotics and Automation) Conference Editorial Board
2011-至今IEEE CASE (Conference on Automation Science and Engineering) Conference Editorial Board
大会程序委员会主席、副主席
2019, IEEE国际自动化科学与工程年会(CASE2019)程序委员会副主席
2017, IEEE国际自动化科学与工程年会(CASE2017)程序委员会主席
会员
IEEE Senior Member, ACM Member, INFORMS Member

研究领域

主要学术方向为网络化信息物理融合能源系统的优化理论与方法，特别在序优化及事件驱动优化的理论、方法与应用方面做出了贡献。

研究概况

2018.12-2020.12, 智能自主配送系统, 美团, 项目负责人
2017.01-2020.12, 多尺度网络化离散事件动态系统策略优化，国家自然科学基金委面上项目，项目负责人
2017.07-2020.12, 新型建筑智能化系统平台技术，国家重点研发计划，主要学术骨干
2016.07-2020.06, 能源互联网的规划、运行与交易基础理论，国家重点研发计划，主要学术骨干
其他项目信息请访问个人主页http://www.cfins.au.tsinghua.edu.cn/personalhg/jiaqingshan

奖励与荣誉

2018年国家自然科学二等奖。项目名称：网络化系统安全优化理论与方法及在能源电力等系统的应用。完成人：管晓宏、赵千川、翟桥柱、贾庆山、徐寅峰
2017年Journal of Simulation最佳论文奖
2015年IEEE国际自动化科学与工程年会最佳论文奖
2014年WCICA供应链领域最佳论文奖
2012年国家自然科学基金优秀青年基金
2009年国家自然科学二等奖。项目名称：离散事件动态系统的优化理论与方法。完成人：曹希仁、赵千川、陈曦、贾庆山

学术成果

国际期刊论文
1.Yang, Y., Jia, Q.-S., Guan, X., Zhang, X., Qiu, Z., and Deconinck, G., “Decentralized EV-based charging optimization with building integrated wind energy,” IEEE Transactions on Automation Science and Engineering, Early Access, pp. 1-16, DOI: 10.1109/TASE.2018.**.
2.Yang, Y., Jia, Q.-S., Deconinck, G., Guan, X., Qiu, Z., and Hu, Z., “Distributed coordination of EV charging with renewable energy in a microgrid of buildings,” IEEE Transactions on Smart Grid, Vol. 9, No. 6, pp. 6253-6264, Nov. 2018.
3.Zhang, Y. and Jia, Q.-S., “A simulation based policy improvement method for joint-operation of building microgrids with distributed solar power and battery,” IEEE Transactions on Smart Grid, Vol. 9, No. 6, pp. 6242-6252, Nov. 2018.
4.Jia, Q.-S., Wu, J., Wu, Z., and Guan, X., “Event-based HVAC Control – A complexity-based approach,” IEEE Transactions on Automation Science and Engineering, Vol. 15, No. 4, pp. 1909-1919, Oct. 2018.
5.Huang, Q., Jia, Q.-S., and Guan, X., “Robust scheduling of EV charging load with uncertain wind power integration,” IEEE Transactions on Smart Grid, Vol. 9, No. 2, pp. 1043-1054, Mar. 2018.
6.Huang, Q., Jia, Q.-S., and Guan, X., “A multi-timescale and bi-level coordination approach for matching uncertain wind supply with EV charging demand,” IEEE Transactions on Automation Science and Engineering, Vol. 14, No. 2, pp. 694-704, Apr. 2017.
7.Wu, Z., Jia, Q.-S., and Guan, X., “Optimal control of multi-room HVAC system: An event-based approach,” IEEE Transactions on Control Systems Technology, Vol. 24, No. 2, pp. 662-669, Mar. 2016.
8.Jia, Q.-S., Wang, H., Lei, Y., Zhao, Q., and Guan, X., “A decentralized stay-time based occupant distribution estimation method for buildings,” IEEE Transactions on Automation Science and Engineering, Vol. 12, No. 4, pp. 1482-1491, Oct. 2015.
9.Sun, B., Luh, P. B., Jia, Q.-S., and Yan, B., “Event-based optimization within the Lagrangian relaxation framework for energy savings in HVAC systems,” IEEE Transactions on Automation Science and Engineering, Vol. 12, No. 4, pp. 1396-1406, Oct. 2015.
10.Huang, Q., Jia, Q.-S., Qiu, Z., Guan, X., and Deconinck, G., “Matching EV charging load with uncertain wind: A simulation-based policy improvement approach,” IEEE Transactions on Smart Grid, Vol. 6, No. 3, pp. 1425-1433, May 2015.
11.Xia, L. and Jia, Q.-S., “Parameterized Markov decision process and its application to service rate control,” Automatica, Vol. 54, pp. 29-35, Apr. 2015.
12.Xu, Z., Jia, Q.-S., and Guan, X., “Supply demand coordination for building energy saving: Explore the soft comfort,” IEEE Transactions on Automation Science and Engineering, Vol. 12, No. 2, pp. 656-665, Apr. 2015.
13.Xia, L., Jia, Q.-S., and Cao, X.-R., “A tutorial on event-based optimization – A new optimization framework,” Discrete Event Dynamic Systems: Theory and Applications, Vol. 24, No. 2, pp. 103-132, Jun. 2014.
14.Sun, B., Luh, P. B., Jia, Q.-S., O’Neill, Z., and Song, F., “Building energy doctors: An SPC and Kalman filter-based method for system-level fault detection in HVAC systems,” IEEE Transactions on Automation Science and Engineering, Vol. 11, No. 1, pp. 215-229, Jan. 2014.
15.Wang, H., Zhao, Q., Guan, X., and Jia, Q.-S., “Reconfiguring networked infrastructures by adding wireless communication capabilities to selected nodes,” IEEE Transactions on Wireless Communications, Vol. 12, No. 9, pp. 4518-4528, Sept. 2013.
16.Xu, Z., Jia, Q.-S., Guan, X., and Shen, J., “Smart management of multiple energy systems in automotive painting shop,” IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 3, pp. 603-614, Jul. 2013.
17.Sun, B., Luh, P. B., Jia, Q.-S., Jiang, Z., Wang, F., and Song, C., “Building energy management: Integrated control of active and passive heating, cooling, lighting, shading and ventilation systems,” IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 3, pp. 588-602, Jul. 2013.
18.Jia, Q.-S., Zhou, E., and Chen, C.-H., “Efficient computing budget allocation for finding simplest good designs,” IIE Transactions, Vol. 45, No. 7, pp. 736-750, Jul. 2013.
19.Wu, J., Jia, Q.-S., Johansson, K. H., and Shi, L., “Event-based sensor data scheduling: Trade-off between communication rate and estimation quality,” IEEE Transactions on Automatic Control, Vol. 58, No. 4, pp. 1041-1046, Apr. 2013.
20.Jia, Q.-S., “Efficient computing budget allocation for simulation-based optimization with stochastic simulation time,” IEEE Transactions on Automatic Control, Vol. 58, No. 2, pp. 539-544, Feb. 2013.
21.Jia, Q.-S., “Efficient computing budget allocation for simulation-based policy improvement,” IEEE Transactions on Automation Science and Engineering, Vol. 9, No. 2, pp. 342-352, Apr. 2012.
22.Jia, Q.-S., Shen, J., Xu, Z., and Guan, X., “Simulation-based policy improvement for energy management in commercial office buildings,” IEEE Transactions on Smart Grid, Vol. 3, No. 4, pp. 2211-2223, Dec. 2012.
23.Xu, Z., Guan, X., Jia, Q.-S., Wu, J., Wang, D., and Chen, S., “Performance analysis and comparison on storage devices for smart building energy management,” IEEE Transactions on Smart Grid, Vol. 3, No. 4, pp. 2136-2147, Dec. 2012.
24.Jia, Q.-S., Shi, L., Mo, Y., and Sinopoli, B., “On optimal partial broadcasting of wireless sensor networks for Kalman filtering,” IEEE Transactions on Automatic Control, Vol. 57, No. 3, pp. 715-721, Mar. 2012.
25.Jia, Q.-S., “On solving event-based optimization with average reward over infinite stages,” IEEE Transactions on Automatic Control, Vol. 56, No. 12, pp. 2912-2917, Dec. 2011.
26.Jia, Q.-S., “An adaptive sampling algorithm for simulation-based optimization with descriptive complexity preference,” IEEE Transactions on Automation Science and Engineering, Vol. 8, No. 4, pp. 720-731, Oct. 2011.
27.Jia, Q.-S., “On solving optimal policies for finite-stage event-based optimization,” IEEE Transactions on Automatic Control, Vol. 56, No. 9, pp. 2195-2200, Sept. 2011.
28.Shi, L., Jia, Q.-S., Mo, Y., and Sinopoli, B., “Sensor scheduling over a packet-delaying network,” Automatica, Vol. 47, No. 5, pp. 1089-1092, May 2011.
29.Jia, Q.-S., “On state aggregation to approximate complex value functions in large-scale Markov decision processes,” IEEE Transactions on Automatic Control, Vol. 56, No. 2, pp. 333-344, Feb. 2011.
30.Guan, X., Xu, Z., and Jia, Q.-S., “Energy-efficient buildings facilitated by microgrid,” IEEE Transactions on Smart Grid, Vol. 1, No. 3, pp. 243-252, Dec. 2010.
31.Shen, Z., Zhao, Q.C., and Jia, Q.-S., “Quantifying heuristics in the ordinal optimization framework,” Discrete Event Dynamic Systems: Theory and Applications, Vol. 20, pp. 441-471, Dec. 2010.
32.Zhao, Y., Chen, X., Jia, Q.-S., Guan, X., Zhang, S., and Jiang, Y., “Long-term scheduling for cascaded hydro energy systems with annual water consumption and release constraints,” IEEE Transactions on Automation Science and Engineering, Vol. 7, No. 4, pp. 969-976, Oct. 2010.
33.Jia, Q.-S., “A structural property of optimal policies for multi-component maintenance problems,” IEEE Transactions on Automation Science and Engineering, Vol. 7, No. 3, pp. 677-680, Jul. 2010.
34.Xia, L., Zhao, Q.C., and Jia, Q.-S., “A structure property of optimal policies for maintenance problems with safety-critical components,” IEEE Transactions on Automation Science and Engineering, Vol. 5, No. 3, pp. 519-531, Jul. 2008.
35.Ho, Y.-C., Jia, Q.-S., and Zhao, Q.-C., "The equivalence between ordinal optimization in deterministic complex problems and in stochastic simulation problems," Discrete Event Dynamic Systems: Theory and Applications, Vol. 16, pp. 405-411, Sept. 2006.
国内期刊论文
1.姜兆宇，贾庆山，管晓宏，“多时空尺度的风力发电预测方法综述，”自动化学报，2019, 45(1): 51-71.
2.Guan, X., Xu, Z., Jia, Q.-S., Liu, K., and Zhou, Y., “Cyber-physical model for efficient and secured operation of CPES for energy Internet,” Science China Information Sciences, Vol. 61, No. 11, 110201, Nov. 2018.
3.Jia, Q.-S. and Wu, J., “On distributed event-based optimization for shared economy in cyber-physical energy systems,” Science China Information Sciences, Vol. 61, No. 11, 110203, Nov. 2018.
4.贾庆山，杨玉，夏俐，管晓宏，”基于事件的优化方法简介及其在能源互联网中的应用,”控制理论与应用，2018, 35(1): 32-40.