苗发辉 博士，讲师
地址：信息工程学院213室
研究方向：
进化计算、深度学习、基于EEG的类脑计算、组合优化、大数据等
个人简介：
苗发辉，男， 2022年6月毕业于北京师范大学人工智能学院计算机应用技术专业。以第一作者在进化计算等领域的相关重要国际期刊和会议发表论文多篇，包括中科院top类期刊4篇，CCF B类期刊1篇等，据Google Scholar数据，相关论文被引用百余次。曾参与国家自然科学基金面上基金、青年基金等项目的研究工作，并曾在教育部智能技术与教育应用工程研究中心从事研究。担任《Expert Systems with Applications》、《Artificial Intelligence Review》等多个国际期刊审稿人。此外，曾在上市企业的IT研发部门担任开发小组经理近2年，具备良好的实际软件项目开发与管理经验。
代表论文：
[1] Miao Fahui, Yao L, Zhao X. Adaptive Margin Aware Complement-Cross Entropy Loss for Improving Class Imbalance in Multi-View Sleep Staging Based on EEG Signals[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30: 2927-2938. (SCI,中科院top期刊)
[2] Miao Fahui, Yao L, Zhao X. Symbiotic organisms search algorithm using random walk and adaptive Cauchy mutation on the feature selection of sleep staging[J]. Expert Systems with Applications, 2021, 176: 114887. (SCI,中科院top期刊)
[3] Miao Fahui, Yao L, Zhao X. Evolving convolutional neural networks by symbiotic organisms search algorithm for image classification[J]. Applied Soft Computing, 2021: 107537. (SCI, 中科院top期刊)
[4] Zhou Y, Miao Fahui, Luo Q. Symbiotic organisms search algorithm for optimal evolutionary controller tuning of fractional fuzzy controllers[J]. Applied Soft Computing, 2019, 77: 497-508. (SCI, 中科院top期刊)
[5] Miao Fahui, Zhou Y, Luo Q. Complex-valued encoding symbiotic organisms search algorithm for global optimization[J]. Knowledge and Information Systems, 2019, 58(1): 209-248. (SCI, CCF B类)
[6] Miao Fahui, Zhou Y, Luo Q. A modified symbiotic organisms search algorithm for unmanned combat aerial vehicle route planning problem[J]. Journal of the Operational Research Society, 2019, 70(1): 21-52. (SCI, JCR：Q3)
[7] Miao Fahui, Yao L, Zhao X. Phasor Symbiotic Organisms Search Algorithm for Global Optimization[C] //International Conference on Intelligent Computing. Springer, Cham, 2020: 67-78.（EI）