研究生培養

碩士生導師

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蔡星娟教授

發布日期:2022-05-09    點擊:

一、個人簡介

蔡星娟,女,新澳门京葡萄威尼斯入口教授、博士生導師,研究領域為優化調度、雲計算、網絡安全、大數據建模與優化、計算智能。現為EI期刊《International Journal of Innovative Computing and Applications》編委,作為特邀編輯主持出版了多個SCI特刊。

通訊地址:山西省太原市萬柏林區西中環路66号新澳门京葡萄威尼斯入口計算機學院複雜系統與計算智能實驗室

郵編:030024

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

、學習及工作簡曆

學習簡曆:

2011.9-2017.6同濟大學電子與信息工程學院控制科學與工程專業,工學博士;

2005.9-2008.4新澳门京葡萄威尼斯入口計算機軟件與理論專業,工學碩士;

1999.9-2003.7太原重型機械學院計算機科學與技術專業,工學學士;

工作簡曆:

2020-11至現在新澳门京葡萄威尼斯入口計算機學院,教授;

2015.11-2020-11 新澳门京葡萄威尼斯入口計算機學院,副教授;

2010.7-2015.11新澳门京葡萄威尼斯入口計算機學院,講師;

三、榮譽及獲獎

1. 2019年山西省“三晉英才青年優秀人才”支持計劃;

2. 2010年山西省自然科學二等獎(廣義微粒群算法研究);

3. 2008年山西省優秀碩士學位論文;

4.新澳门京葡萄威尼斯入口2008屆優秀畢業研究生;

四、課程與教材

1)主講課程:

本科生:離散數學、算法分析與設計

2) 教材

“高等學校本科計算機專業應用型人才培養研究”項目規劃教材《Java編程基礎和應用》,主編:強彥、趙娟娟 ,副主編:蔡星娟,高等教育出版社,2015.7。

五、研究生招生學科

碩士研究生:計算機科學與技術一級學科

研究方向:計算智能

、學術兼職:

1.國際期刊International Journal of Innovative Computing and Applications(EI收錄)編委(http://www.inderscience.com/ijica)

2.國際期刊International Journal of Bio-inspired Computation特邀編輯(Xingjuan Cai and Uday K. Chakraborty):Recent Advances on Differential Evolution,2010,2(3/4) , Inderscience. (SCI收錄)

七、科研工作

長期從事智能優化算法相關方面研究,主持國家自然科學基金青年項目、山西省重點研發項目等國家及省部級科研項目十餘項,在優化調度、雲計算、網絡安全、大數據建模與優化、計算智能等領域進行了大量理論及應用研究,發表SCI檢索論文50餘篇,SCI他引1605次,ESI高倍引論文13篇,SCI引用指數H-index為21,出版教材1部。相關工作發表在《IEEE Transactions on Industrial Informatics》、《IEEE Transactions on Services Computing》、《中國科學:信息科學》(中英文版)等國内外著名期刊。

1)近期主持的主要科研項目

[1]雲資源綠色容錯調度方法研究(編号:201903D121119),山西省重點研發計劃項目(高新技術領域),2019.08-2021.07,按計劃進行。

[2]煤礦綠色生産配置的高維多目标優化建模與集成求解(編号:61806138),國家自然科學基金青年科學基金項目,2019.01-2021.12,按計劃進行。

[3]蝙蝠算法性能分析及其在壓縮感知的應用(編号:201801D121127),山西省自然科學基金,2018.12-2020.12,已結題。

[4]動态環境下物流機器人任務分配關鍵問題研究(編号:BILSCIC-2019KF-06),北京市智能物流系統協同創新中心開放課題,2019.06-2021.06,已結題。

[5]個性化微粒群算法的理論及結構優化研究,山西省青年科學基金(編号:2009021017-2),2009.1-2011.12,已結題。

2)出版的專著及參編的章節

[1]蔡星娟,蝙蝠優化算法,電子工業出版社,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)近期發表的代表性論文

[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區, 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高被引論文,中科院1區, 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高被引論文,中科院2區, 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高被引論文,中科院2區, 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高被引論文,中科院2區, IF= 6.043)

[6]蔡星娟,胡钊鳴,張志霞,等,基于高維多目标優化的多無人機協同航迹規劃,中國科學:信息科學, 2021, 51: 985–996. (CCF中文A類、中國科技期刊卓越行動計劃重點期刊)

[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區, 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區, 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區, 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區, 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區, 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區, 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高被引論文)

[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高被引論文)

[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類)

[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類)

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