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个人简介

教育经历 1990.9 - 1994.7:浙江师范大学,本科毕业,获理学学士学位。 1994.9 - 1997.6:南京大学,研究生毕业,获理学硕士学位。 1997.9 - 2000.6:南京大学,研究生毕业,获理学博士学位。 工作经历 2000.9 - 2002.7:华中科技大学控制科学与工程系,从事博士后研究工作。 2002.7 - 2004.11:华中科技大学控制科学与工程系,担任副教授。 2004.12 - 至今:华中科技大学人工智能与自动化学院,担任教授。 2018.5 - 至今:华中科技大学人工智能与自动化学院,担任副院长。

研究领域

生物计算 DNA纳米技术 人工智能

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

[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

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