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刘兵劳模创新工作室


1. 工作室简介

“刘兵劳模创新工作室”创建于20159月,以辽宁省优秀教师、辽宁省优秀科技工作者、辽宁省第六批百千万人才工程百人层次人选,鞍山市劳动模范、鞍山市首批突出贡献专家、鞍山市模范教师、鞍山市“三八”红旗手,鞍山师范学院“最美教师”获得者刘兵教授命名。

工作室自成立以来,始终坚持以习近平新时代中国特色社会主义思想为指导,坚持以立德树人为根本任务,充分发挥劳模在科学技术创新和社会服务创新工作中的示范引领作用,为教师和学生开展理论创新、人才培养、社会服务搭建了平台。

工作室成员年富力强,覆盖多学科多方向。其在种群动力系统、生物资源管理、害虫综合治理和环境污染作用下的种群模型等应用领域以及生物智能决策等方面取得了很多创新性的研究成果。团队成员中有辽宁省优秀科技工作者1人,辽宁省骨干教师2人,辽宁省“百千万人才工程”百人层次1人、千人层次2人、万人层次1人,鞍山市劳动模范2人,鞍山市“钢都英才计划”高端人才1人,鞍山市五一劳动奖章1人,鞍山青年五四奖章1人,鞍山市优秀青年岗位能手1人,鞍山市首批突出贡献专家1人,鞍山市优秀科技工作者2人,鞍山市教育系统优秀共产党员2人,鞍山市“三八红旗手”标兵2人,鞍山市“巾帼育人”标兵2人,鞍山市师德标兵1人。近5年,工作室成员在International Journal of Bifurcation and ChaosNonlinear Analysis: Modelling and Control, Acta Mathematicae Applicatae Sinica, English SeriesJournal of Biological SystemInternational Journal of BiomathematicsMathematical Biosciences and engineeringIEEE/ACM Transactions on Computational Biology and Bioinformatic, Journal of Biomedical Informatic, Computational Biology and Chemistry, Biosystems等国际著名学术期刊发表论文34篇,主持省部级以上项目13项,其中包括国家自然科学基金面上项目2项,辽宁省高等学校创新人才支持计划1项,辽宁省百千万人才工程项目1项,辽宁省自然科学基金项目4项,辽宁省教育厅项目5项。201911月工作室获批“鞍山市劳模创新工作室”。202010月工作室获批“辽宁省劳模创新工作室”。

2. 工作室成员

创新工作室依托ld乐动体育投注,统筹非线性动力系统、运筹学与控制论、应用统计、生物信息学和计算机方向教学导师和教学骨干人员,现有成员16人,其中教授5人,副教授4人,讲师6人,助教112人获得博士学位,均来自教学一线,是一支基础扎实,素质过硬的教学创新团队。

1)以刘兵教授为学术带头人的非线性动力系统中生物数学方向,其主要成员包括教授2人(张玉娟、刘双)、副教授2人(康宝林、王新)。本方向与国内外同行许多专家保持着长期的合作交流,经常邀请专家来我院指导讲学。

2)以赵立纯教授为学术带头人的运筹学与控制论方向,其主要成员包括副教授2人(刘敬娜、李金洋)。他们将变结构控制、脉冲控制、奇异诱导控制、模糊控制和突变控制等先进控制方法应用于麦蚜种群生态系统、森林种群生态系、温室草莓生态系统等生物生态系统的病虫害预防与控制问题研究中,取得了重要的研究成果。

3)以陶凤梅教授为学术带头人的应用统计方向,其主要成员包括2位青年讲师(张春月、李诗)。他们积极探索与地方环境和地方经济建设相关的研究课题,相继开展鞍山地区城镇化进程、自然灾害的动态模型分析等的相关研究。

3)由从事计算机方向研究工作的青年硕博团队组成。主要由黄鑫博士、胡钢博士、杨雪博士、叶晓琳博士和赵永达硕士组成。黄鑫博士一直从事机器学习和数据挖掘算法在生物信息学方面的研究工作,利用特征选择技术和分类算法在生物组学数据分析与应用方面取得较好的研究成果,目前他带领工作室青年教师和学生继续探讨复杂疾病的临床诊断;胡钢博士长期从事计算机方面的应用研究,熟练各种画图软件,为开展的课题研究的数据分析和模型参数的优化提供辅助;杨雪博士一直从事复杂网络建模和传播机制的研究,利用博弈论思想对传播的控制策略取得较好的研究成果;叶晓林博士长期研究混沌非线性系统动力学,基于混沌信号发生器应用于图像加密算法以及分数阶微分动力系统的研究。

3. 工作室代表性研究介绍

特色研究一:关于害虫预测与控制的动力学建模与分析的研究,以“非光滑害虫治理问题的数学模拟研究”为课题申请国家和省市级项目资助。针对害虫的预测与控制问题,将一些动态因素考虑到害虫治理模型中,建立更加符合实际的动态模型,制定最优防治方案,为决策部门提供指导。

特色研究二:关于复杂疾病精确诊断和个性化治疗数据分析方法的研究与应用,以医疗大数据为研究对象,致力于探究特征间关联关系在疾病发生发展过程中的变化,研制高稳健的数据分析方法并探索其在临床上的应用,从而为疾病的标志物筛选、精确诊断和个性化治疗等研究提供理论支撑,为医疗大数据分析平台的搭建提供有效的新工具。

特色研究三:利用数学方法模拟信息在社交网络上的传播,采集微信、聊天数据,分析特性和预测传播范围;反之,已知一个信息在社交网络上传播了一定范围,找到传播的源头和原因,采取相应的措施进行控制。

浓厚的氛围,激发了成员锐意创新的潜能;丰硕的成果,彰显出实践创新的巨大能量。刘兵劳模创新工作室将积极发挥平台优势,弘扬创新与团队协作精神,发挥示范引领作用,在教学科研等工作中注重言传身教,不断引领青年教师、青年学生成长成才,以期持续为科技创新、学科建设、人才培养贡献力量。

4. 工作室近5年主要发表论文情况

1) X. Hou, B. Liu, Y. L Wang, Z. Zhao, Complex dynamics in a Filippov pest control model with group defense, International Journal of Biomathematics, 2022, 15(1), 2250053.

2) X. Huang, B. Z. Su, C. B. Zhu, X. Y. He, X. H. Lin. Dynamic network construction for identifying early warning signals based on a data-driven approach: early diagnosis biomarker discovery for gastric cancer, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, DOI10.1109/TCBB.2022. 3176319.

3) X. Huang, Z. Q. Liao, B. Liu, F. M. Tao, B. Z. Su, X. H. Lin. A novel method for constructing classification models by combining different biomarker patterns. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, 19, 786-794.

4) L.C.Zhao, J.N.Liu, M. Zhang, B. Liu, Analysis and control of a delayed population model with an Allee effect, International Journal of Biomathematics, 2022, 15(5), Article ID: 2250025.

5) L.C. Zhao, J. N. Liu, B. Liu, Y. Li, H. Y. Zhao. Catastrophe control of aphid populations model, Mathematical Biosciences and Engineering, 2022, 19(7): 7122-7137.

6) X. Huang, Y. Zhou, H. Z. Tang, B. Liu, B. Z. Su, Q. Wang. Differential metabolic network construction for personalized medicine: study of type 2 diabetes mellitus patients’ response to gliclazide-modified-release-treated. Journal of Biomedical Informatics, 2021, 118, Article ID: 103796.

7) X. Huang, Z. Y. Wang, B. Z. Su, X. Y. He, B. Liu, B. L. Kang. A computational strategy for metabolic network construction based on the overlapping ratio: study of patients’ metabolic responses to different dialysis patterns. Computational Biology and Chemistry, 2021, 93, Article ID: 107539

8) B. Liu, X. L. Ye, G. Hu, Design of a new 3d chaotic system producing infifinitely many coexisting attractors and its application to weak signal detection, International Journal of Bifurcation and Chaos, 2021, 31(15), 2150235.

9) Bing Liu, Xiaolin Ye, Qianqian Chen, Generating infinitely many coexisting attractors via a new 3d cosine system and its application in image encryption, IEEE Access, 2021, 9, 136292.

10) Bing LiuXin Wang, Le Song, Jingna LiuStudy on evolution of a predator-prey model in a polluted environment, Nonlinear Analysis: Modelling and Control, 2021, 26(6), 1052-1070.

11) B. Liu, F. M. Tao, B. L. Kang, G. Hu, Modelling the effects of pest control with development of pesticide resistance, Acta Mathematicae Applicatae Sinica, English Series, 2021, 37(1), 109–125.

12) G. Hu, K. J. Wang, L. L. Liu, Underwater acoustic target recognition based on depthwise separable convolution neural networks, Sensor, 2021, 21: 1429.

13) G. Hu, K. J. Wang, L. L. Liu, Detection line spectrum of ship radiated noise based on a new 3D chaotic system, Sensors, 2021, 21: 1610.

14) B. Liu, G. Hu, B. L. Kang, X. HuangAnalysis of a hybrid pest management model incorporating pest resistance and different control strategies, Mathematical Biosciences and engineering, 2020, 17(5): 4364–4383.

15) B. Liu, L. Song, X. Wang, B. L. Kang, Effects of pollution on individual size of a single species, International Journal of Biomathematics, 2020, 13(8): 2050079.

16) J. Y. Li, Q. D. Huang, B. Liu, An SI integrated pest management model with pesticide resistance to susceptible pestsInternational Journal of Biomathematics, 2020,13(5):2050037.

17) X. L. Ye, X. Y. Wang, S. Gao, J. Mou, Z. S. Wang, A new random diffusion algorithm based on the multi-scroll Chua’s chaotic circuit system, Optics and Lasers in Engineering, 2020, 127:105905.

18) X. L. Ye, X. Y. Wang, S. Gao, J. Mou, Z. S. Wang, F. F. Yang, A new chaotic circuit with multiple memristors and its application in image encryption, Nonlinear Dynamics, 2020, 99, 1489-1506.

19) X. L. Ye, X. Y. Wang, Characteristic analysis of a simple fractional-order chaotic system with infinitely many coexisting attractors and its DSP implementation, Physica Scripta, 2020, 95: 075212.

20) X. Yang, Z. L. Zhu, H. Yua, Y. L. Zhao, Y. Wang, Locating multiple information sources in social networks based on the naming game, Physics Letters A, 2020, 384, 126908.

21) X. Yang, Z. L. Zhu, H. Yu, Y. L. Zhao, A naming game-based method for the location of information source in social networks, Complexity, 2020, 2020, Article ID 6975250.

22) J. Y. Li, Q. D. Huang, B. Liu, A pest control model with birth pulse as well as residual and delay effects of pesticides, Advances in Difference Equations, 2019, 2019:117.

23) X. H. Lin, X. Huang, L. N. Zhou, W. J. Ren, J. Zeng, W. H. Yao, X. Y. Wang. The robust classification model based on combinatorial features. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019, 16: 650-657.

24) X. L. Ye, X. Y. Wang, H. Y. Zhao, H. Gao, M. Zhang, Extreme multistability in a new hyperchaotic meminductive circuit and its circuit implementation, The European Physical Journal Plus, 2019, 134(5), 206.

25) X. L.Ye, J. Mou, C. F. Luo, et al., Complexity analysis of a mixed memristive chaotic circuit. Complexity, 2018, 2018, 1-9.

26) B. L. Kang, B. Liu, F. M. Tao, An integrated pest management model with dose-response effect of pesticides, Journal of Biological System, 2018, 26(1): 59-86.

27) J. N. Liu, T. Zhang, L. C. Zhao, B. Liu, Analysis and control of a non-smooth population model with impulsive effects, International Journal of Biomathematics, 2018, 11(5), Article ID: 1850047.

28) J. N. Liu, T. Zhang, L. C. Zhao, B. Liu, Analysis and control of the singular system model of aphid ecosystems, Mathematical Problems in Engineering, 2018, 2018, Article ID :3030723.

29) X. Huang, X. H. Lin, L. N. Zhou, B. Z. Su. Analyzing omics data by pair-wise feature evaluation with horizontal and vertical comparisons. Journal of Pharmaceutical and Biomedical Analysis, 2018, 157: 20-26.

30) X. L. Ye, J. Mou, C. F. Luo; Z. S. Wang; Dynamics analysis of Wien-bridge hyperchaotic memristive circuit system, Nonlinear Dynamics, 2018, 92, 923-933.

31) X. L. Ye, X. Y. Wang, J. Mou, X. P. Yan, Y. J. Xian, Characteristic analysis of the fractional-order hyperchaotic memristive circuit based on the Wien bridge oscillator, The European Physical Journal Plus, 2018, 133: 516.

32) G. Hu, K. J. Wang, Y. Peng, M. R. Qiu, J. F. Shi, L. L. Liu, Deep learning methods for underwater target feature extraction and recognition: Computational Intelligence and Neuroscience, 2018, 2018: 1214301.

33) X. Huang, X. H. Lin, J. Zeng, L. C. Wang, P. Y. Yin, L. N. Zhou, C. X. Hu, W. H. Yao. A computational method of defining potential biomarkers based on differential sub-networks. Scientific Reports, 2017, 7, Article ID: 14339.

34) X. Wang, M. Fan, L. N. Hao, Adaptive evolution of body size subject to indirect effect in trophic cascade system, Biosystems, 2017, 159(1): 23-35.