一、个人基本情况
1994年获浙江师范大学数学专业学士学位，1997年和2000年分别获南京大学硕士和理学博士学位。2000年至2002年在华中科技大学控制理论与工程博士后流动站从事博士后研究。2004.12至今，工作于华中科技大学自动化学院控制科学与工程系。2003.4-2004.10于西班牙Rovila I Virgili大学开展合作研究，2008.11-2009.9于西班牙Seville大学作访问学者
博士生导师，兼任湖北省运筹学学会理事长，中国电子学会图论与系统优化专业委员会副理事长。国际膜计算协会出版委员会主席，BIC-TA、CMC、ACMC国际会议决策委员会主席，生物计算理论及应用国际系列会议和亚洲膜计算系列国际会议的发起人，教育部新世纪优秀人才、湖北省杰出青年基金获得者，入选2014-2018年Elsevier中国高被引学者，入选2018年科睿唯安全球高被引科学家。Journal of Membrane Computing期刊主编，Springer系列丛书Emergence, Complexity and Computation编委，IET Control Theory & Applications期刊副主编，Journal of Applied Mathematics等4个国际期刊编委。
主要从事生物计算和生物信息处理领域的研究和教学工作，先后主持国家自然科学基金等项目18项，近五年主持国家自然科学基金项目8项，其中国家自然科学基金重点项目1项，重大国际合作项目1项。发表杂志论文115余篇，SCI收录95余篇，SCI引用1100次。2014年、2015年和2016年入选Elsevier中国高被引学者。获2015年教育部自然科学一等奖（排名1）、湖北省自然科学一等奖1项（排名2），2019年湖北省自然科学一等奖（排名1）。
二、承担课程
研究生：《智能计算》《控制科学工程基础与前沿》
三、研究方向
生物计算理论与应用技术、生物信息处理、生物计算、膜计算
四、近年科研项目、代表性论著、发明专利、荣誉与获奖
1.科研项目
[1] 国家重点研发计划政府间专项子课题，基于DNA自组装的纳米载药系统研究，2018.01-2020.12，426万元，主持.
[2] 国家自然科学基金面上项目，基于DNA自组装纳米芯片的分子计算模型研究，2018.01-2021.12，70万元，主持.
[3] 河南省科技创新人才计划，膜计算理论及其在生物学中的应用，2015.01-2017.12，50万元，主持.
2.代表性论著
[1] Linqiang Pan, Lianghao Li, Cheng He, Kay Chen Tan. A Subregion Division-Based Evolutionary Algorithm With Effective Mating Selection for Many-Objective Optimization. IEEE Transactions on Cybernetics, No.4, 2019.
[2] Zhixiong Zhang, Cheng He, Jie Ye, Jinbang Xu, Linqiang Pan*. Switching ripple suppressor design of the grid-connected inverters: A perspective of many-objective optimization with constraints handling. Swarm and Evolutionary Computation, Vol.44, 2019.
[3] TingfangWu, Florin-Daniel Bîlbîe, Andrei Păun, Linqiang Pan*, Ferrante Neri. Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request. International Journal of Neural Systems, Vol.28, No.08, 2018.
[4] Linqiang Pan, Bosheng Song, Atulya K. Nagar, K.G. Subramanian. Language generating alphabetic flat splicing P systems. Theoretical Computer Science, Vol.724, 2018,
[5] Suxia Jiang, Qi Zhang, Yansen Su, Linqiang Pan*. Network-Based Differential Analysis to Identify Molecular Features of Tumorigenesis for Esophageal Squamous Carcinoma. Molecules, No.1, 2018.
[6] Zhiqiang Zhang, Yansen Su, Linqiang Pan*. The Computational Power of Enzymatic Numerical P Systems Working in the Sequential Mode. Theoretical Computer Science. Vol.724, 2018.
[7] Tingfang Wu, Andrei Paun, Zhiqiang Zhang, Linqiang Pan*. Spiking Neural P Systems With Polarizations. IEEE Transactions on Neural Networks & Learning Systems. No.8, 2018.
[8] Bosheng Song, Linqiang Pan*, Suxia Jiang, Yanfeng Wang. The computation power of tissue P systems with flip-flop channel states. International Journal of Advances in Engineering Sciences and Applied Mathematics, No.3, 2018.
[9] Linqiang Pan, Cheng He, Ye Tian, Handing Wang, Xingyi Zhang, Yaochu Jin. A Classification Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 2018.
[10] Zhiqiang, Zhang, Tingfang, Wu, Linqiang Pan*. Universal enzymatic numerical P systems with small number of enzymatic variables. Science China-Information Sciences, No.9, 2018.
[11] Linqiang Pan, Bosheng Song, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez. The Computational Complexity of Tissue P Systems with Evolutional Symport/Antiport Rules. Complexity, 2018.
[12] Linqiang Pan, Tingfang Wu, Yansen Su, and Athanasios V. Vasilakos, Cell-like spiking neural P systems with request rules. IEEE Transactions on Nanobioscience, Vol.16, No.6, 2017.
[13] Linqiang Pan, Yanfeng Wang, Suxia Jiang, Bosheng Song, Flat maximal parallelism in tissue P systems with promoters. Romanian Journal of Information Science and Technology, Vol.20, No.1, 2017.
[14] Luis Valencia-Cabrera, Tingfang Wu, Zhiqiang Zhang, Linqiang Pan*, and Mario J. Perez-Jimenez, A simulation software tool for cell-like spiking neural P systems. Romanian Journal of Information Science and Technology, Vol.20, No.1, 2017.
[15] Yansen Su, Bangju Wang, Fan Cheng, Lei Zhang, Xingyi Zhang, and Linqiang Pan*, An algorithm based on positive and negative links for community detection in signed networks. Scientific Reports, Vol.7, No.1, 2017.
[16] Linqiang Pan, Cheng He, Ye Tian, Yansen Su, and Xingyi Zhang, A region division based diversity maintaining approach for many-objective optimization. Integrated Computer-Aided Engineering, No.24, 2017.
[17] Bosheng Song, Mario J. Perez-Jimenez, and Linqiang Pan*, An efficient time-free solution to QSAT problem using P systems with proteins on membranes. Information and Computation, No.256, 2017.
[18] Cheng He, Ye Tian, Yaochu Jin, Xingyi Zhang, Linqiang Pan*, A radial space division based evolutionary algorithm for many-objective optimization. Applied Soft Computing, No.61, 2017.
[19] Xueming Liu, Linqiang Pan*, H. Eugene Stanley, and Jianxi Gao, Controllability of giant connected components in a directed network. Physical Review E, No.95, 2017.
[20] Zhiqiang Zhang, Tingfang Wu, Andrei Paun, Linqiang Pan*, Universal Enzymatic Numerical P Systems with Small Number of Enzymatic Variables. Science China Information Sciences, Vol.61, 2017.
[21] Linqiang Pan, Gheorghe Paun, Gexiang Zhang, Ferrante Neri, Spiking neural P systems with communication on request. International Journal of Neural Systems, Vol.27, No6, 2017.
[22] Linqiang Pan, Zhiqiang Zhang, Tingfang Wu, Jinbang Xu, Numerical P systems with production thresholds. Theoretical Computer Science, No.673, 2017.
[23] Linqiang Pan, Zhiyu Wang, Yifan Li, Fei Xu, Qiang Zhang, Cheng Zhang, Nicking enzyme-controlled toehold regulation for DNA logic circuits. Nanoscale, Vol.9, No.46, 2017.
[24] Linqiang Pan, Gheorghe Paun, Bosheng Song, Flat maximal parallelism in P systems with promoters. Theoretical Computer Science, No.623, 2016.
[25] Linqiang Pan, Gheorghe Paun, On the universality of purely catalytic P systems. Natural Computing, Vol.15, No.4, 2016.
[26] Linqiang Pan, Atulya K. Nagar, K. G. Subramanian, and Bosheng Song, Picture array generation using flat splicing operation. Journal of Computational and Theoretical Nanoscience, No.13, 2016.
[27] Linqiang Pan, Bosheng Song, Pradeep Isawasan, and K. G. Subramanian, Array P systems with parallel rewriting and tables of context-free rules. Journal of Computational and Theoretical Nanoscience, No.13, 2016.
3.发明专利
[1] 潘林强，何成，吴庭芳，王延峰，姜素霞等，基于膜算法的凹版印刷机套色控制方法，发明专利，专利号：ZL 2016 1 0908207.8, 授权时间：2018.10.
[2] 潘林强，何成，姜素霞，杨小亮，吴庭芳等, 一种基于多目标优化算法的光伏发电最大功率点追踪方法, 发明专利，专利号：ZL 2016 1 0871230.4, 授权时间：2017.11.
[3] 潘林强, 何成, 王延峰, 邱洪波, 吴庭芳等, 基于Kriging模型的永磁直流电机转速控制方法, 发明专利, 专利号：ZL 2016 1 0871417.4, 授权时间：2019.08.
[4] 潘林强，徐飞，石晓龙，姜素霞，王延峰等，一种具有高载药效果的DNA纳米药物载体、制备方法及应用，发明专利，申请号：201810630449.4 申请日：2018-06-19.
[5] 潘林强, 吴庭芳, 何成, 王延峰, 姜素霞等，基于膜计算的质子交换膜燃料电池模型优化方法，发明专利，申请号：201610870791.2 申请日：2016-09-30.
4.荣誉与获奖
[1] 潘林强，苏厚胜，刘欢。基于生物材料和技术的高性能计算模型和算法，湖北省自然科学技术一等奖，2019，第一.
[2] 潘林强，河南省人民政府，教育部自然科学一等奖（排名1），2015年，第一.