Professor

Phone: 86-27-87556070

Email: lqpan@mail.hust.edu.cn; lqpanhust@gmail.com

Academic Areas: Bio-inspired Computing, DNA Nanotechnology, Complex Network, Systems Biology

Research Interests:

Linqiang Pan is a professor of the School of Automation, and a member of the Key Laboratory of Image Information Processing and Intelligent Control. He is the head of the Department of Intelligence Science and Technology, and the head of the Research Group on Bio-inspired Computing at HUST. Also, he is the director of Hubei Province Society for Operations Research and the vice-director of Chinese Electron Academic Society: Graph Theory and System Optimization Specialized Committee. His research interests include Bio-inspired Computing (such as DNA computing and membrane computing), DNA Nanotechnology, Complex Network, Systems Biology. 

Academic Degrees

September 1990-June1994, Zhejiang Normal University, B.S. in Mathematics 
September 1994-June1997, Nanjing University, M.S. in Mathematics
September 1997-June2000, Nanjing University, Ph.D. in Mathematics

Professional Experience

Nov. 2004- present: Professor, School of Automation, HUST, China
Jun. 2002- Nov. 2004, Associate Professor, Department of Control Science and Engineering, HUST, China
Sept. 2000- Jun. 2002, Post Doctor, Department of Control Science and Engineering, HUST, China
Apr. 2003- Sept. 2004, Visiting Scholar, University Rovira i Virgili, Spain
Nov. 2008- Sept. 2009, Visiting Scholar, University of Seville, Spain
Nov. 2009, Visiting Scholar, Universiti Sains Malaysia, Malaysia
Oct. 2011- Nov. 2011, Visiting Scholar, Universiti Sains Malaysia, Malaysia
Apr. 2015, Visiting Scholar, University of Seville, Spain

Selected Publications

[1]Linqiang Pan, Gheorghe Paun, Spiking Neural P Systems: An Improved Normal Form, Theoretical Computer Science, 411(2010), 906-918 
[2]Jun Wang, Hendrik Jan Hoogeboom, Linqiang Pan, Gheorghe Paun, Mario J. Pérez-Jiménez, Spiking Neural P Systems with Weights, Neural Computation, 22(10)(2010), 2615-2646
[3]Linqiang Pan, Mario J. Pérez-Jiménez, Computational Complexity of Tissue-like P Systems, Journal of Complexity, 26(3)(2010), 296-315 
[4]Tseren-Onolt Ishdorj, Alberto Leporati, Linqiang Pan, Xiangxiang Zeng, Xingyi Zhang, Deterministic Solutions to QSAT and Q3SAT by Spiking Neural P Systems with Pre-Computed Resources, Theoretical Computer Science, 411(2010), 2345-2358
[5]Linqiang Pan, Xiangxiang Zeng, Xingyi Zhang, Time-Free Spiking Neural P Systems, Neural Computation, 23(2011), 1320–1342[6]Linqiang Pan, Xiangxiang Zeng, Small universal spiking neural P systems working in exhaustive mode, IEEE Transactions on Nanobioscience, 10(2)(2011), 99 - 105.
[7]Jin Xu, Xiaoli Qiang, Yan Yang, Baoju Wang, Dongliang Yang, Liang Luo, Linqiang Pan, Shudong Wang, An unenumerative DNA computing model for vertex coloring problem, IEEE Transactions on Nanobioscience, 10(2)(2011), 94-98.
[8]Linqiang Pan, Jun Wang, Hendrik Jan Hoogeboom, Spiking Neural P Systems with Astrocytes, Neural Computation, 24(3)(2012), 805-825 
[9]Tao Song, Linqiang Pan, Jun Wang, Ibrahim Venkat, K. G. Subramanian, Rosni Abdullah, Normal Forms of Spiking Neural P Systems With Anti-Spikes, IEEE Transactions on Nanobioscience, 11(4)(2012), 352-360
[10]Xiangxiang Zeng, Tao Song, Xingyi Zhang, and Linqiang Pan, Performing Four Basic Arithmetic Operations with Spiking Neural P Systems, IEEE Transactions on Nanobioscience, 11(4)(2012), 366-374 [11]Tao Song, Linqiang Pan, Gheorghe Paun, Asynchronous spiking neural P systems with local synchronization, Information Sciences, 219(2013), 197–207
[12]Tao Song, Linqiang Pan, Keqin Jiang, Bosheng Song and Wei Chen, Normal Forms for Some Classes of Sequential Spiking Neural P Systems, IEEE Transactions on NanoBioscience, 12 (3)(2013), 255-264
[13]Keqin Jiang,, Tao Song, Linqiang Pan, Universality of Sequential Spiking Neural P Systems Based on Minimum Spike Number, Theoretical Computer Science, 499(2013), 88-97
[14]Xiaolong Shi, Wei Lu, Zhiyu Wang, Linqiang Pan, Guangzhao Cui, Jin Xu, Thomas H LaBean, Programmable DNA tile self-assembly using a hierarchical sub-tile strategy, Nanotechnology, 25(7)(2014), 075602
[15]Tao Song, Luis F. Macías-Ramos, Linqiang Pan, Mario J. Pérez-Jiménez, Time-free Solution to SAT Problem Using P Systems with Active Membranes, Theoretical Computer Science, 529(2014), 61–68.[16]Tao Song, Linqiang Pan, Gheorghe Paun, Spiking Neural P Systems with Rules on Synapses, Theoretical Computer Science, 529(2014), 82–95.
[17]Xingyi Zhang, Xiangxiang Zeng, Bin Luo, Linqiang Pan, On Some Classes of Sequential Spiking Neural P Systems, Neural Computation, 26(2014), 974--997.
[18]Liu Xueming, Pan Linqiang, Detection of driver metabolites in the human liver metabolic network using structural controllability analysis, BMC Systems Biology, 8(51)(2014), DOI: 10.1186/1752-0509-8-51
[19]Xingyi Zhang, Yanjun Liu, Bin Luo, Linqiang Pan, Computational power of tissue P systems for generating control languages, Information Sciences, 278(2014), 285–297.
[20]Xiangxiang Zeng, Lei Xu, Xiangrong Liu, Linqiang Pan, On languages generated by spiking neural P systems with weights, Information Sciences, 278(2014), 423–433.[21]Xiangxiang Zeng, Xingyi Zhang, Tao Song, Linqiang Pan, Spiking Neural P Systems with Thresholds, Neural Computation, 26(2014), 1340-1361.
[22]Gexiang Zhang, Marian Gheorghe, Linqiang Pan, Mario J. Pérez-Jiménez, Evolutionary membrane computing: A comprehensive survey and new results, Information Sciences, 279(2014), 528-551
[23]Xingyi Zhang, Bangju Wang, Linqiang Pan, Spiking neural p systems with a generalized use of rules, Neural Computation, 26(12) (2014), 2925--2943. 
[24]Yang, Jing; Dong, Chen; Dong, Yafei; Liu, Shi; Pan, Linqiang; Zhang, Cheng, Logic nanoparticle beacon triggered by the binding-induced effect of multiple inputs, ACS Applied Materials & Interfaces, 6(16) (2014), 14486-14492 
[25]Bosheng Song, Linqiang Pan, Computational Efficiency and Universality of Timed P Systems with Active Membranes, Theoretical Computer Science, 567(2015), 74-86
[26]Xueming Liu, Linqiang Pan, Identifying driver nodes in the human signaling network using structural controllability analysis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(2)(2015), 467-472. 
[27]Xingyi Zhang, Linqiang Pan, Andrei Paun, On the Universality of Axon P Systems, IEEE Transactions on Neural Networks and Learning Systems, 26(11)(2015), 2816-2829
[28]Tao Song, Linqiang Pan, Spiking Neural P Systems With Rules on Synapses Working in Maximum Spikes Consumption Strategy, IEEE Transactions on NanoBioscience, 14(1)(2015), 38-44 
[29]Tao Song, Linqiang Pan, Spiking Neural P Systems with Rules on Synapses Working in Maximum Spiking Strategy, IEEE Transactions on NanoBioscience, 14(4)(2015), 465--477 
[30]Linqiang Pan, Gheorghe Paun, Bosheng Song, Flat Maximal Parallelism in P Systems with Promoters, Theoretical Computer Science, Theoretical Computer Science, 623(2016), 83–91
[31]Tao Song, Jinbang Xu, Linqiang Pan, On the Universality and Non-universality of Spiking Neural P Systems with Rules on Synapses, IEEE Transactions on NanoBioscience, 14(8)(2016), 960--966
[32]Tingfang Wu, Zhiqiang Zhang, Gheorghe Paun, Linqiang Pan, Cell-like Spiking Neural P Systems, Theoretical Computer Science, 623(2016), 180–189
[33]Xueming Liu, Linqiang Pan, Controllability of the better chosen partial networks, Physica A: Statistical Mechanics and its Applications, 456(2016), 120–127

Awards and Honors

First Prize of Natural Science Award, Ministry of Education of the People’s Republic of China, 2005
First Prize of Natural Science Award, Hubei Province, 2008
First Prize of Natural Science Award, Ministry of Education of the People’s Republic of China, 2014

Courses Taught

For Undergraduates: 
Computing Method
For Graduates:
Formal Languages and Automata 

Project

Current Research Projects:
[1] Jan. 2014- Dec. 2018, National Natural Science Foundation of China (Grant No. 61320106005): “Cell-based Membrane Computing Systems and Their Applications in Biology”
[2] Jan. 2016- Dec. 2018, National Natural Science Foundation of China (Grant No. 91530320): “The Theory and Methods of Analyzing Complex Diseases Based on Dynamic Networks”

Finished Research Projects:
[1] Jan. 2013- Dec. 2015, Ph.D. Programs Foundation of Ministry of Education of China (Grant No. 20120142130008.): “Nonconventional Information Process Technology based on Molecules”
[2] Jan. 2012- Dec. 2014, Natural Science Foundation of Hubei Province (Grant No. 2011CDA027): “Algorithms Inspired by Cells with Their Application”
[3] Jan. 2012- Dec. 2014, National Natural Science Foundation of China (Grant No. 91130034): “Research on the Modelling and Dynamics of Lung Cancer”
[4] Jan. 2011- Dec. 2014, National Natural Science Foundation of China (Grant No. 61033003): “Computation Models and Algorithms Inspired by Cells”
[5] Jan. 2011-Dec. 2013, Ph.D. Programs Foundation of Ministry of Education of China (Grant No. 20100142110072): “Research on Modelling Methods of Biological Systems Based on Membrane Computing”
[6] Jan. 2010-Dec. 2011, Fundamental Research Funds for the Central Universities (Grant No. 2010ZD001): “The Theory and Application of Membrane Computing”
[7] Jan. 2009- Dec. 2011, National Natural Science Foundation of China (Grant No. 30870826): “Research on Neural-like Membrane Systems”
[8] Jan. 2007- Dec. 2009, National Natural Science Foundation of China (Grant No. 60674106): “Research on Bio-inspired Hybrid Net-like Information Processing Systems”
[9] Jan. 2004- Dec. 2006, National Natural Science Foundation of China (Grant No. 60373089): “Research on Membrane Computing in the Field of Biological Molecular Computing”
[10] Jan. 2002- Dec. 2002, National Natural Science Foundation of China (Grant No. 60103021): “The Application of DNA Computing in Graph Theory and Combinatorial Optimization”

Patents and Software Copyright Registration
1 Chinese invention patent: A Method and Device for Tracking Maximum Capacity of Photovoltaic Power Generation Based on Membrane Computing, ZL 2014 1 0286539.8, September, 2015
2 Chinese software copyright registration: A Software for Designing DNA Molecules and Virtual Experiments, 2014SR211893, March, 2014
3 Chinese software copyright registration: A Software for Simulating Spiking Neural Membrane Systems, 2014SR211451, October, 2014
4 Chinese software copyright registration: A Software for Modeling and Simulating Biological Systems, 2014SR211445, June, 2013

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