朱家伟 副教授

信息工程学院

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学位: 博士

毕业院校: 法国贝尔福-蒙贝利亚技术大学(UTBM)

邮件: jiawei.zhu@chd.edu.cn

电话:

出生年月:

办公地点: 信息工程学院物联网工程系

个人资料

  • 学院: 信息工程学院
  • 性别:
  • 出生年月:
  • 职称: 副教授
  • 学位: 博士
  • 学历: 博士研究生
  • 毕业院校: 法国贝尔福-蒙贝利亚技术大学(UTBM)
  • 联系电话:
  • 电子邮箱: jiawei.zhu@chd.edu.cn
  • 通讯地址: 西安市未央区尚苑路
  • 邮编: 710018
  • 传真:
  • 办公地址: 信息工程学院物联网工程系
  • 教育经历:
    • 2012.09-2015.11 法国贝尔福-蒙贝利亚技术大学 计算机科学与技术博士

    • 2010.09-2012.07 法国贝尔福-蒙贝利亚技术大学 计算机科学与技术硕士

    • 2006.09-2010.07 西安交通大学 软件工程学士



个人简介

      朱家伟,博士,副教授,硕士生导师,于2010年在西安交通大学取得软件工程学士学位。随后,获得国家留学基金委奖学金资助,公派赴法留学,于法国贝尔福-蒙贝利亚技术大学取得计算机科学与技术硕士和博士学位。2016年回国,开始任职于长安大学信息工程学院。2022年至今在浙江大学信息与电子工程学院从事博士后研究工作。在智能电网需求响应建模与调度优化方面进行了长期深入的研究,主持了国家自然科学基金青年科学基金项目、中国博士后科学基金项目等,并作为技术骨干参与了国家重点研发计划、国家自然科学基金重点项目、面上项目等多项国家级科研项目;在国内外高水平期刊及CCF B类、CCF C类等国际会议上发表SCI/EI检索论文20余篇,其中,中科院一TOP期刊论文5篇,二区期刊论文3篇;授权国家发明专利4项,软件著作权2项;获得过国际会议最佳论文奖最佳Poster”。

社会职务

  1. IEEE Internet of Things Journal、Energy、Applied Energy、Expert Systems with Applications等顶级期刊审稿人

  2. 中国计算机学会(CCF)会员

  3. 中国自动化学会(CAA)会员

  4. 电气和电子工程师协会(IEEE)会员

  5. 2023 ICCEE,Session Chair

  6. 2019 ICIT&ICVIP,Session Chair


研究领域

研究方向一:电力需求响应与调度优化


研究方向二:电力信息感知


研究方向三:电动汽车车--网一体化运行


开授课程

  • * 软件工程 (双语)

  • * 移动互联网开发 (双语)


科研项目

主持和参与多项国家级、省部级科研项目:

  • 中国博士后科学基金一等资助项目 2023

  • 国家自然科学基金青年基金项目 2020

  • 国家自然科学基金重点项目 2022

  • 国家自然科学基金面上项目 2022

  • 科技部国家重点研发计划项目 2022

  • 科技部国家重点研发计划项目 2021

  • 陕西省重点研发计划一般项目 2018

论文

Journal Publications:

[1]     Youquan Liu, Huazhen Li, Jiawei Zhu*, Yishuai Lin and Weidong Lei, Multi-objective optimal scheduling of household appliances for demand side management using a hybrid heuristic algorithm, Energy, vol. 262, 125460, 2023. (IF = 9).

[2]     Yishuai Lin, Yunlong Xu, Jiawei Zhu, Xuhua Wang, Liang Wang, Gang Hu, MLATSO: A method for task scheduling optimization in multi-load AGVs-based systems, Robotics and Computer-Integrated Manufacturing, vol. 79, 102397, 2023. (IF = 10.4).

[3]     Yishuai Lin, Gang Hu, Liang Wang, Qingshan Li and Jiawei Zhu,A multi-AGV routing planning method based on deep reinforcement learning and recurrent neural network, IEEE/CAA Journal of Automatica Sinica, Online, 2023. (IF = 11.8).

[4]     Yishuai Lin, Zhiming Xiong and Jiawei Zhu, Optimization of the electricity consumption behaviors of users under uncertain electricity prices and consumption patterns, Energy Reports, vol. 9, pp. 646-657, 2023.

[5]     Yisheng An, Yuxin Gao, Naiqi Wu, Jiawei Zhu*, Hongzhang Li, Jinhui Yang, “Optimal scheduling of electric vehicle charging operations considering real-time traffic condition and travel distance”, Expert Systems with Applications, vol.213, 118941, 2022. (IF = 8.5).

[6]     Huazhen Li, Youquan Liu, Jiawei Zhu*, Qiang Liao, Residential Demand Response Scheduling Optimization and Simulation based on an Improved PSO Algorithm, Journal of System Simulation, vol. 33, no. 8, pp. 1969-1979, 2021.

[7]     Bo Yang, Danyang Li, Chunyuan Zeng, Yijun Chen, Zhengxun Guo, Jingbo Wang, Hongchun Shu, Tao Yu, Jiawei Zhu*, Parameter extraction of PEMFC via Bayesian regularization neural network based meta-heuristic algorithms, Energy, vol. 228, 120592, 2021. (IF= 9)

[8]     Yishuai Lin, Yingzhi Wang, Jiawei Zhu and Liang Wang, A model and a task scheduling method for double-deep tier-captive SBS/RS with alternative elevator-patterns, IEEE Access, vol. 9, pp. 146378-146391, 2021.

[9]     Jiawei Zhu*, Qiang Liao, Yishuai Lin, Weidong Lei and Ruoyao Cui, Residential high-resolution electricity demand optimization with a cooperative PSO algorithm, Energy Reports, vol. 7, pp. 23-29, 2021.

[10]  Jiawei Zhu*, Yishuai Lin, Weidong Lei, Youquan Liu and Mengling Tao, Optimal household appliances scheduling of multiple smart homes using an improved cooperative algorithm, Energy, vol. 171, pp. 944-955, 2019. (IF= 9).

[11]  Jiawei Zhu*, Fabrice Lauri, Abderrafiaa Koukam, Vincent Hilaire, Yishuai Lin and Youquan Liu, A hybrid intelligent control based cyber-physical system for thermal comfort in smart homes, International Journal of Ad Hoc and Ubiquitous Computing, vol. 30, no. 4, pp. 199-214, 2019.


Conference Publications:

[1]     Ruoyao Cui, Jiawei Zhu*, Huazhen Li, Ting Li, Yisheng An, Weidong Lei, Optimal Demand Response Considering User’s Satisfaction Using a Multi-Objective Optimization Algorithm, in Proc. of 7th Asia Conference on Power and Electrical Engineering, pp. 1946-1951,2022.

[2]     Weidong Lei, Zhanbo Zhang, Jiawei Zhu, Yishuai Lin, Jing Hou, Ying Sun, An Improved Jaya Optimization Algorithm with Hybrid Logistic-Sine-Cosine Chaotic Map, in Proc. of IEEE ICACI, pp. 176-181, 2022.

[3]     Jiawei Zhu*, Qiang Liao, Yishuai Lin, Weidong Lei, Jingjie Gao, A High-Resolution Model for Simulation of Flexible Residential Electricity Demand, in Proc. of the 7th International Conference on Information Technology: IoT and Smart City, pp. 463-467, 2019.

[4]     Yishuai Lin, Jiawei Zhu, Qingshan Li, A BPK-CRIO methodology for the design and implementation of a multi-agent  based business process monitoring system, in Proc. of the 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 669-674, 2015.

[5]     Jiawei Zhu*, Fabrice Lauri, Abderrafiaa Koukam, Vincent Hilaire, A hybrid intelligent control system based on PMV optimization for thermal comfort in smart buildings, in Proc. of Advanced Computational Methods for Knowledge Engineering, pp. 27-36, 2015.

[6]     Jiawei Zhu*, Fabrice Lauri, Abderrafiaa Koukam, Vincent Hilaire, Scheduling optimization of smart homes based on demand response, in Proc. of IFIP international conference on artificial intelligence applications and innovations, pp. 223-236 ,2015.

[7]     Jiawei Zhu*, Fabrice Lauri, Abderrafiaa Koukam, Vincent Hilaire, Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition, in Proc. of International Conference on Swarm Intelligence Based Optimization, pp. 42-49, 2014.

[8]     Jiawei Zhu*, Fabrice Lauri, Abderrafiaa Koukam, Vincent Hilaire, Managing ventilation systems for improving user comfort in smart buildings using reinforcement learning agents, in Proc. of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 149-155, 2014.

[9]     Fabrice Lauri, Gillian Basso, Jiawei Zhu, Robin Roche, Vincent Hilaire, Abderrafiâa Koukam, Managing power flows in microgrids using multi-agent reinforcement learning, in Proc. of Agent Technologies in Energy Systems, 2013.

[10]   Jiawei Zhu*, Fabrice Lauri, Abderrafiaa Koukam, Vincent Hilaire, Godoy Marcelo, Improving thermal comfort in residential buildings using artificial immune system, in Proc. of IEEE 10th International Conference on Ubiquitous Intelligence and Computing, pp. 194-200, 2013.



科技成果

* 国家发明专利 一种面向居民住宅群的用电调度优化方法 ZL201910055095.X

* 国家发明专利 一种面向VANET的无证书和签名的条件匿名认证方法 ZL201811391013.0

荣誉奖励


  1. 指导2019级研究生在2020中国高校计算机大赛中获全国二等奖、西北赛区一等奖;

  2. 指导2020级研究生在ACPEE2022国际会议中获得“最佳Poster奖”;

  3. 指导2020级研究生获长安大学第十二届“挑战杯”大学生课外科技作品竞赛三等奖;

  4. 指导2020级研究生获长安大学第三届大学生节能减排社会实践与科技竞赛三等奖。

  5. 指导2022年大学生创新创业训练计划国家级项目1项和校级项目1项;

  6. 指导2019年大学生创新创业训练计划省级项目2项;

  7. 指导2019年学生创新实践能力提升子计划项目一般项目1项和培育项目1项;

  8. 指导2017级本科生获长安大学第三届“互联网+”大学生创新创业大赛银奖;


工作经历

  • 2016.03-今  长安大学信息工程学院  专任教师

  • 2022.03-今  浙江大学信息与电子工程学院  博士后