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,Yi Zhao.Lianghao Li.Neighborhood-based Particle Swarm Optimization with Discrete Crossover for Nonlinear Equation Systems.Swarm and Evolutionary Computation,2022,101019

[2] Tingfang Wu,Ferrante Neri,Linqiang Pan.On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request.International Journal of Neural Systems,2022,(8):2250037

[3] Kuiting Chen,Fei Xu,Yingxin Hu.Hao Yan,Linqiang Pan.DNA Kirigami Driven by Polymerase-Triggered Strand Displacement.Small,2022,(24):2201478

[4] Chun Xie,Yingxin Hu,Zhekun Chen,Kuiting Chen.Linqiang Pan.Tuning Curved DNA Origami Structures Through Mechanical Design and Chemical Adducts.Nanotechnology,2022,(40):405603

[5] Qiang Yu,Shiming Song,Chenxiang Ma,Linqiang Pan,Kay Chen Tan.Synaptic Learning With Augmented Spikes.IEEE Transactions on Neural Networks and Learning Systems,2022,(3):1134-1146

[6] Bosheng Song,LinqiangPan.Rule synchronization for tissue P systems.Information and Computation,2021,104685

[7] Tingfang Wu,Qiang Yu,Kay Chen Tan.Linqiang Pan.Numerical Spiking Neural P Systems.IEEE Transactions on Neural Networks and Learning Systems,2021,(6):2443-2457

[8] Linqiang Pan,Lianghao Li,Ran Cheng,Kay Chen Tan.Cheng He.Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization with Complicated Pareto Sets.IEEE Transactions on Cybernetics,2021,(6):3325-3337

[9] Yingxin Hu,Chun Xie,Fei Xu,Linqiang Pan.A strategy for programming the regulation of in vitro transcription with application in molecular circuits.Nanoscale,2021,5429-5434

[10] Tingfang Wu,Qiang Lyu.Linqiang Pan.Evolution-Communication Spiking Neural P Systems.International Journal of Neural Systems,2021,(2):2050064

[11] Yingxin Hu, Zhiyu Wang, Zhekun Chen.Linqiang Pan.Switching the activity o Taq polymerase using clamp-like triplex aptamer structure.Nucleic Acids Research,2020,(15):8591-8600

[12] Zhiyu Wang Yingxin Hu, Linqiang Pan.Fuzzy DNA Strand Displacement: A Strategy to Decrease the Complexity of DNA Network Design.Angew. Chem. Int. Ed.,2020,(35):14979-1498

[13] 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,2020,(8):3477-3490

[14] Linqiang Pan, Artiom Alhazov, Housheng Su, Bosheng Song.Local Synchronization on Asynchronous Tissue P Systems With Symport/Antiport Rules.IEEE Transactions on NanoBioscience,2020,(2):315-320

[15] Linqiang Pan, Yingxin Hu, Taoli Ding, Chun Xie, Zhiyu Wang, Zhekun Chen, Jing Yang,Cheng Zhang.Aptamer-based regulation of transcription circuits.Chemical Communications,2019,7378-7381

[16] Xueming Liu, Linqiang Pan, H. Eugene Stanley,Jianxi Gao.Multiple phase transitions in networks of directed networks.Phys. Rev. E,2019,012312

[17] Fei Xu, Tingfang Wu, Xiaolong Shi, Linqiang Pan.A study on a special DNA nanotube assembled from two single-stranded tiles.Nanotechnology,2019,(11):115602

[18] 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,2019,(1):74-88

[19] Tingfang Wu, 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,2018,(8):1850013

[20] Jing Yang, Ranfeng Wu, Yifan Li, Zhiyu Wang, Linqiang Pan, Qiang Zhang, Zuhong Lu, Cheng Zhang.Entropy-driven DNA logic circuits regulated by DNAzyme.Nucleic Acids Research,2018,(16):8532–8541

[21] Linqiang Pan, Zhiyu Wang, Yifan Li, Fei Xu, Qiang Zhang, Cheng Zhang.Nicking enzyme-controlled toehold regulation for DNA logic circuits.Nanoscale,2017,18223-18228

[22] Linqiang Pan, Gheorghe Paun, Gexiang Zhang, Ferrante Neri.Spiking Neural P Systems with Communication on Request.International Journal of Neural Systems,2017,(8):1750042

[23] Xueming Liu, Linqiang Pan, H. Eugene Stanley,Jianxi Gao.Controllability of giant connected components in a directed network.Physical Review E,2017,042318

[24] Jing Yang, Shuoxing Jiang, Xiangrong Liu, Linqiang Pan,Cheng Zhang.Aptamer-Binding Directed DNA Origami Pattern for Logic Gates.ACS Applied Materials & Interfaces,2016,(49):34054−34060

[25] Xueming Liu, Linqiang Pan.Controllability of the better chosen partial networks.Physica A: Statistical Mechanics and its Applications,2016,120–127

[26] Tingfang Wu, Zhiqiang Zhang, Gheorghe Paun, Linqiang Pan.Cell-like Spiking Neural P Systems.Theoretical Computer Science,2016,180–189

[27] Linqiang Pan, Gheorghe Paun, Bosheng Song.Flat Maximal Parallelism in P Systems with Promoters.Theoretical Computer Science,2016,83–91

[28] Luis F. Macías-ramos, Bosheng Song, Luis Valencia-Cabrera, Linqiang Pan, Mario J. Pérez-jiménez.Membrane fission: A computational complexity perspective.Complexity,2015,(6):321-334

[29] 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,2015,(8):960-966

[30] Tao Song, Linqiang Pan.Spiking Neural P Systems with Rules on Synapses Working in Maximum Spiking Strategy.IEEE Transactions on NanoBioscience,2015,(4):465-477

[31] Tao Song, Linqiang Pan.Spiking Neural P Systems With Rules on Synapses Working in Maximum Spikes Consumption Strategy.IEEE Transactions on NanoBioscience,2015,(1):38-44

[32] Xingyi Zhang, Linqiang Pan, Andrei Paun.Linqiang Pan.On the Universality of Axon P Systems.IEEE Transactions on Neural Networks and Learning Systems,2015,(11):2816-2829

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

First Prize of Natural Science Award, Hubei Province, 2019

Courses Taught

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

Project

Current Research Projects：
[1] Jan. 2022-Dec. 2025, National Natural Science Foundation of China (Grant No. 62172171): “Design and Production of DNA Bio-inspired Computing circuits and Their Application in Disease Diagnosis”

[2] Dec. 2021- Nov. 2024, National Key Research and Development Program of China (Grant No. 2021YFF1200200): “New Generation High Intensity Information Storing Technology Based on A Variety of Molecules”

Finished Research Projects:
[1]Jan. 2018- Dec. 2020, National Key Research and Development Program of China (Grant No. 2017YFE0103900): “A study on Nano-system Carrying Medicine Based on DNA Self-assembling”

[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”

[3] Jan. 2013- Dec. 2015, Ph.D. Programs Foundation of Ministry of Education of China (Grant No. 20120142130008.): “Nonconventional Information Process Technology based on Molecules”
[4] Jan. 2012- Dec. 2014, Natural Science Foundation of Hubei Province (Grant No. 2011CDA027): “Algorithms Inspired by Cells with Their Application”
[5] Jan. 2012- Dec. 2014, National Natural Science Foundation of China (Grant No. 91130034): “Research on the Modelling and Dynamics of Lung Cancer”
[6] Jan. 2011- Dec. 2014, National Natural Science Foundation of China (Grant No. 61033003): “Computation Models and Algorithms Inspired by Cells”

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