一、个人基本信息
周新辉,男,1990年7月生,河南信阳人,研究生学历,工学博士,讲师。
二、主讲课程和研究方向
主讲课程:机器学习与数据挖掘、R语言深度学习
研究方向:深度学习、图像处理、农业信息化
三、论文著作
[1] Yuan S, Duan Y, Su H T, Zhou X H*, Hao Y F*. HDA-YOLO: a hierarchical and densely-fused attention network for rice pest detection in complex agricultural environments[J]. Frontiers in Plant Science, 2026.
[2] Zhou X H*, Hao Y F, Liu Y, Dang L X, Qiao B J, Zuo X J*. Short-term prediction of dissolved oxygen and water temperature using deep learning with dual proportional-integral-derivative error corrector in pond culture[J]. Engineering Applications of Artificial Intelligence, 2025, 142, 109964.
[3] Zhou X H, Wang J P, Liu Y R, Duan Q L*. Deep learning with PID residual elimination network for time-series prediction of water quality in aquaculture industry[J]. Computers and Electronics in Agriculture, 2023, 212, 108125.
[4] Zhou X H, Wang J P, Zhang H X, Duan Q L*. Application of a hybrid improved sparrow search algorithm for the prediction and control of dissolved oxygen in the aquaculture industry[J]. Applied Intelligence, 2023, 53(7), 8482-8502.
[5] Zhou X H, Wang J P, Huang L, Li D L, Duan Q L*. Modelling and controlling dissolved oxygen in recirculating aquaculture systems based on mechanism analysis and an adaptive PID controller[J]. Computers and Electronics in Agriculture, 2022, 192, 106583.
[6] Zhou X H, Wang J P, Cao X K, Fan Y X, Duan Q L*. Simulation of future dissolved oxygen distribution in pond culture based on sliding window-temporal convolutional network and trend surface analysis[J]. Aquacultural Engineering, 2021, 95, 102200.
[7] Zhou X H, Li D L, Zhang L, Duan Q L*. Application of an adaptive PID controller enhanced by a differential evolution algorithm for precise control of dissolved oxygen in recirculating aquaculture systems[J]. Biosystems Engineering, 2021, 208, 186-198.
四、科研项目
[1] 国家自然科学基金青年基金项目(C类)(项目号:32503263),2026.01.01-2028.12.31,经费30万,在研,主持。
[2] 河南省科技攻关计划项目(项目号:252102111180),2025.01.01-2026.12.31,经费10万,在研,主持。
[3] 横向课题:红外遥感图像目标识别算法,2024.12.20-2025.04.20,经费20万元,在研,主持。
[4] 横向课题:海岸线产品算法开发、集成与测试,2024.10.11-2024.11.30,经费15万元,结题,主持。
五、联系方式
E-mail:zxhui@henu.edu.cn