傅沁冰讲师

一、基本信息

1.傅沁冰博士,讲师

2.研究领域: 运动感知、神经网络、计算智能、计算神经科学、机器人学

3.办公地点: 信息实验楼610

4.办公电话:+8613518187096

5.电子邮箱:qifu@gzhu.edu.cn


二、个人简介

傅沁冰博士于2018年10月被英国林肯大学授予博士学位,2019年-2021年工作于广州大学(博士后),2021年12月正式入职77779193永利官网,2019年至今被英国林肯大学授予名誉博士后。共发表学术论文30余篇,其中包括IEEE Transactions期刊、Neural Networks等相关领域知名期刊。傅沁冰博士的研究领域包括运动感知、神经网络、计算智能、计算神经科学、机器人学。傅沁冰是多个顶级期刊的评审。


三、教育背景

2005-2009 电子科技大学 学士学位

2011-2013 英国林肯大学 硕士学位

2014-2018 英国林肯大学 博士学位


四、职业经历

1.学术工作经历

2019-2021 广州大学 博士后

2021-至今 77779193永利官网 讲师

2. 海外工作经历


五、教授课程

信息科学类课程


六、科研服务

2020-至今 国家自然科学基金重点项目 参与

2020-2021 中国博士后科学基金 主持


七、研究成果

近5年论著目录

[1] Q. Fu, C. Hu, J. Peng, F. C. Rind, S. Yue, “A robust collision perception visual neural network with specific selectivity to darker objects”, IEEE Transactions on Cybernetics, vol. 50, no. 12, pp. 5074-5088, 2020.

[2] Q. Fu, C. Hu, J. Peng, S. Yue, “Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation”, Neural Networks, vol. 106, pp. 127-143, 2018.

[3] Q. Fu, S. Yue, “Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds”, Biological Cybernetics, vol. 114, pp. 443-460, 2020.

[4] Q. Fu, H. Wang, C. Hu, S. Yue, “Towards computational models and applications of insect visual systems for motion perception: A review”, Artificial Life, vol. 25, no. 3, pp. 263-311, 2019.

[5] H. Wang, Q. Fu, H. Wang, P. Baxter, J. Peng, S. Yue, “A bioinspired angular velocity decoding neural network model for visually guided flights”, Neural Networks, vol. 136, pp. 180-193, 2021.

[6] Q. Fu, H. Wang, J. Peng, S. Yue, “Improved collision perception neuronal system model with adaptive inhibition mechanism and evolutionary learning”, IEEE Access, vol. 8, pp. 108896-108912, 2020.

[7] Q. Fu, X. Sun, T. Liu, C. Hu, S. Yue, “Robustness of Bio-Inspired Visual Systems for Collision Prediction in Critical Robot Traffic”, Frontiers in Robotics and AI, 8: 529872, 2021.

[8] H. Isakhani, N. Bellotto, Q. Fu, S. Yue, “Generative design and fabrication of a locust-inspired gliding wing prototype for micro aerial robots”, Journal of Computational Design and Engineering, vol. 8, no. 5, pp. 1191-1203, 2021.

[9] H. Luan, Q. Fu, Y. Zhang, M. Hua, S. Chen, S. Yue, “A looming spatial localization neural network inspired by MLG1 neurons in the crab Neohelice”, Frontiers in Neuroscience, 15: 787256, 2022.

[10] T. Liu, X. Sun, C. Hu, Q. Fu, S. Yue, “A multiple pheromone communication system for swarm intelligence”, IEEE Access, vol. 9, pp. 148721-148737, 2021.