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博士生导师

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蔡星娟教授

发布日期:2022-05-09    点击:

一、个人简介

蔡星娟,女,太原科技大学维多利亚老品牌vic3308教授、博士生导师,研究领域为优化调度、云计算、网络安全、大数据建模与优化、计算智能。现为EI期刊《International Journal of Innovative Computing and Applications》编委,作为特邀编辑主持出版了多个SCI特刊。

通讯地址:山西省太原市万柏林区西中环路66号太原科技大学计算机学院复杂系统与计算智能实验室

邮编:030024

Email:caixingjuan@tyust.edu.cn; xingjuancai@163.com

、学习及工作简历

学习简历:

2011.9-2017.6同济大学电子与信息工程学院控制科学与工程专业,工学博士;

2005.9-2008.4太原科技大学计算机软件与理论专业,工学硕士;

1999.9-2003.7太原重型机械学院计算机科学与技术专业,工学学士;

工作简历:

2020-11至现在太原科技大学计算机学院,教授;

2015.11-2020-11 太原科技大学计算机学院,副教授;

2010.7-2015.11太原科技大学计算机学院,讲师;

三、荣誉及获奖

1. 2019年山西省“三晋英才青年优秀人才”支持计划;

2. 2010年山西省自然科学二等奖(广义微粒群算法研究);

3. 2008年山西省优秀硕士学位论文;

4.太原科技大学2008届优秀毕业研究生;

四、课程与教材

1)主讲课程:

本科生:离散数学、算法分析与设计

2) 教材

“高等学校本科计算机专业应用型人才培养研究”项目规划教材《Java编程基础和应用》,主编:强彦、赵娟娟 ,副主编:蔡星娟,高等教育出版社,2015.7。

五、研究生招生学科

硕士研究生:计算机科学与技术一级学科

研究方向:计算智能

、学术兼职:

1.国际期刊International Journal of Innovative Computing and Applications(EI收录)编委(http://www.inderscience.com/ijica)

2.国际期刊International Journal of Bio-inspired Computation特邀编辑(Xingjuan Cai and Uday K. Chakraborty):Recent Advances on Differential Evolution,2010,2(3/4) , Inderscience. (SCI收录)

七、科研工作

长期从事智能优化算法相关方面研究,主持国家自然科学基金青年项目、山西省重点研发项目等国家及省部级科研项目十余项,在优化调度、云计算、网络安全、大数据建模与优化、计算智能等领域进行了大量理论及应用研究,发表SCI检索论文50余篇,SCI他引1605次,ESI高倍引论文13篇,SCI引用指数H-index为21,出版教材1部。相关工作发表在《IEEE Transactions on Industrial Informatics》、《IEEE Transactions on Services Computing》、《中国科学:信息科学》(中英文版)等国内外著名期刊。

1)近期主持的主要科研项目

[1]云资源绿色容错调度方法研究(编号:201903D121119),山西省重点研发计划项目(高新技术领域),2019.08-2021.07,按计划进行。

[2]煤矿绿色生产配置的高维多目标优化建模与集成求解(编号:61806138),国家自然科学基金青年科学基金项目,2019.01-2021.12,按计划进行。

[3]蝙蝠算法性能分析及其在压缩感知的应用(编号:201801D121127),山西省自然科学基金,2018.12-2020.12,已结题。

[4]动态环境下物流机器人任务分配关键问题研究(编号:BILSCIC-2019KF-06),北京市智能物流系统协同创新中心开放课题,2019.06-2021.06,已结题。

[5]个性化微粒群算法的理论及结构优化研究,山西省青年科学基金(编号:2009021017-2),2009.1-2011.12,已结题。

2)出版的专著及参编的章节

[1]蔡星娟,蝙蝠优化算法,电子工业出版社,2020年3月第一版。

[2]Zhihua Cui andXingjuan Cai, Chapter 16: Artificial Plant Optimization Algorithm,in Swarm Intelligence and Bio-Inspired Computation: Theory and Applications, Edited by Xinshe Yang, Zhihua Cui, Renbin Xiao, Amir Hossein Gandomi, Mehmet Karamanoglu, Elsevier,pp.351-365,2013.

[3]Zhihua Cui, Xingjuan Cai, Ying Tan and Jianchao Zeng, Chapter: Integral-controlled particle swarm optimization, in Handbook of Swarm Intelligence-Concepts, Principles and Applications,Edited by Bijaya Ketan Panigrahi, Yuhui Shi, Meng-Hiot Lim,Springer,pp.175-200,2011.

[4]Xingjuan Cai, Zhihua Cui, Jianchao Zeng and Ying Tan, Chapter 5: Individual Parameter Selection Strategy for Particle Swarm Optimization, in Particle Swarm Optimization, Edited by Alexsandar Lazinica, I-Tech Education and Publishing, Vienna, Austria, pp.89-112, 2009.1.

3)近期发表的代表性论文

[1]Xingjuan Cai, Shaojin Geng, Jingbo Zhang, Di Wu, Zhihua Cui, Wensheng Zhang, Jinjun Chen, A Sharding Scheme based Many-objective Optimization Algorithm for Enhancing Security in Blockchain-enabled Industrial Internet of Things, IEEE Transactions on Industrial Informatics, 2021. DOI: 10.1109/TII.2021.3051607. (中科院1区, IF=9.112)

[2]Zhihua Cui, Fei Xue,Xingjuan Cai, Yang Cao, Gaige Wang,Jinjun Chen, Detectin of malicious code variants based on deep learning, IEEE Transactions on Industrial Informatics, 2018, 14(7): 3187-3196. (ESI高被引论文,中科院1区, IF=9.112)

[3]Zhihua Cui, Xianghua Xu, Fei Xue,Xingjuan Cai, Yang Cao, Wensheng Zhang, Jinjun Chen, Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios, IEEE Transactions on Services Computing, 2020, 13(4):685-695. (ESI高被引论文,中科院2区, IF= 5.823)

[4]Zhihua Cui, Fei Xue, Shiqiang Zhang,Xingjuan Cai, Yang Cao, Wensheng Zhang, Jinjun Chen, A Hybrid BlockChain-Based Identity Authentication Scheme for Multi-WSN, IEEE Transactions on Services Computing, 2020, 13(2): 241-251. (ESI高被引论文,中科院2区, IF= 5.823)

[5]Gai-Ge Wang,Xingjuan Cai, Zhihua Cui, Geyong Min, Jinjun Chen, High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm, IEEE Transactions on Emerging Topics in Computing, 2020, 8(1): 20-30.(ESI高被引论文,中科院2区, IF= 6.043)

[6]蔡星娟,胡钊鸣,张志霞,等,基于高维多目标优化的多无人机协同航迹规划,中国科学:信息科学, 2021, 51: 985–996. (CCF中文A类、中国科技期刊卓越行动计划重点期刊)

[7]Xingjuan Cai, Shaojin Geng, Di Wu, Jianghui Cai, Jinjun Chen, A Multi-cloud Model based Many-objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things, IEEE Internet of Things Journal, 2021, 8(12): 9645-9653. (中科院1区, IF=9.936)

[8]Xingjuan Cai, Shaojin Geng, Di Wu, Jinjun Chen, Unified integration of many-objective optimization algorithm based on temporary offspring for software defects prediction, Swarm and Evolutionary Computation, 2021, 63:100871.(中科院1区, IF=6.912)

[9]Xingjuan Cai, Zhaoming Hu, Peng Zhao, Wensheng Zhang, Jinjun Chen, A hybrid recommendation system with many-objective evolutionary algorithm, Expert Systems with Applications, 2020, 159: 113648.(中科院1区, IF=5.452)

[10]Xingjuan Cai, Zhaoming Hu, Jinjun Chen, A many-objective optimization recommendation algorithm based on knowledge mining, Information Sciences, 2020, 537:148-161. (中科院1区, IF=5.910)

[11]Zhihua Cui, Yaru Zhao, Yang Cao,Xingjuan Cai, Wensheng Zhang, Jinjun Chen, Malicious Code Detection under 5G HetNets Based on a Multi-Objective RBM Model, IEEE Network, 2021, 35(2):82-87. (中科院1区, IF=8.808)

[12]Lijie Xie, Zhaoming Hu,Xingjuan Cai, Wensheng Zhang, Jinjun Chen, Explainable recommendation based on knowledge graph and multi-objective optimization, Complex & Intelligent Systems, 2021, 7(3):1241-1252. (中科院2区, IF= 3.791)

[13]Xingjuan Cai, Penghong Wang, Lei Du,Zhihua Cui, Wensheng Zhang,Jinjun Chen, Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II, IEEE Sensors Journal, 2019, 19(21): 10003-10015. (ESI高被引论文)

[14]Xingjuan Cai, Hui Wang, Zhihua Cui, Jianghui Cai, Yu Xue, Lei Wang, Bat algorithm with triangle-flipping strategy for numerical optimization, International Journal of Machine Learning and Cybernetics, 2018, 9(2): 199-215.(ESI高被引论文)

[15]Xingjuan Cai, Jiangjiang Zhang, Hao Liang, Lei Wang, Qidi Wu, An ensemble bat algorithm for large-scale optimization, International Journal of Machine Learning and Cybernetics, 2019, 10(11): 3099-3113.

[16]Xingjuan Cai, Penghong Wang, Zhihua Cui, Wensheng Zhang, Jinjun Chen, Weight convergence analysis of DV-hop localization algorithm with GA, Soft Computing, 2020, 24(23): 18249-18258.(CCF C类)

[17]Jialei Xu, Zhixia Zhang, Zhaoming Hu, Lei Du,Xingjuan Cai, A many-objective optimized task allocation scheduling model in cloud computing, Applied Intelligence,2021,51(6):3293-3310. (CCF C类)