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1. 2020/01-至今，海南大学，人工智能系，教授，博导

2.2014/12-2019.12，海南大学，网络工程系，副教授

3.2010/03-2014.12，海南大学，网络工程系，讲师

4.2009/04-2010/03, 海南大学，计算机系，助教

5.2007/11-2009/03, 上海澳讯信息技术有限公司,软件部部长，高级工程师

6.2006/09–2007/10, 中兴通讯南京研究所, 工程师

7.2005/07-2006/08, 宁波波导股份研究院, 工程师

1. 国家自然科学基金项目，“海水养殖关键水环境因子与鱼体异常行为作用机制及其长期预测研究”， 2020.01-2023.12，主持。

2. 海南省重点研发计划项目, 基于深度学习和遥感成像的海南辖区海域目标智能识别关键技术研究、2022.3.16 – 2024.3.15，主持。

3. 海大深圳云鼠公司横向课题，“扫地机器人视觉算法研究”， 2021.11.01 – 2022.07.20， 主持。

4. 海南省自然科学基金高层次人才项目，“可信预测预警云计算平台在海水智慧养殖中的应用研究”，2020.12.26 – 2023.12.25，主持。

5. 海南省重点研发计划项目（高新技术）,基于物联网的海南石斑鱼智慧养殖预测预警平台研究、 2018.03 – 2020.03，主持。

6. 天津大学—海南大学协同创新基金项目，海水智慧养殖关键水环境因子长期动态预测研究、2019.4.15 – 2019.12.15，主持。

7. 海南省自然科学基金项目，海洋通信中宽带压缩频谱感知与资源动态优化配置的关键技术研究、2017/01-2018/12，主持。

8. 海南省自然科学基金项目，农作物病虫害智能监控、防治一体化专家系统中的关键技术研究、2014/01-2015/12，主持。

9. 海南省高等学校科学研究项目，ACM在运动目标检测中的关键技术研究、2013/01-2014/12，主持。

10. 海南大学南海海洋资源利用国家重点实验室导向课题，基于统计水平集活动轮廓模型的海域遥感目标智能检测与跟踪研究，2017.1-2018.12，主持。

海南省科技进步一等奖，“近海环境监控多源信息协同感知与融合关键技术及其应用”， 2021.11。

荣誉

1. 获2018年海南大学“优秀教师”称号。

2. 海南省高等学校“人工智能领域”科学研究优秀指导教师奖，2019.12.29

3. 海南省计算机学会“先进会员”奖，2020.11.29

[1]Yu Chuang, Liu Yunpeng*,Wu Shuhang, Hu Zhuhua, Xia Xin, Lan Deyan, Liu Xin. Infrared Small Target Detection Based on Multiscale Local Contrast Learning Networks[J]. Infrared Physics & Technology, 2022: 104107.
[2]Yu, Chuang; liu, yunpeng; Xia, Xin*; Hu, Zhuhua*; Fu, Shengpeng. Precise segmentation of remote sensing cage images based on SegNet and voting mechanism[J]，Applied Engineering in Agriculture, 2022.
[3]Chuang Yu, Yunpeng Liu, Shuhang Wu, Xin Xia, Zhuhua Hu, Deyan Lan and Xin Liu, Pay Attention to Local Contrast Learning Networks for Infrared Small Target Detection[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022.
[4]Yu, Chuang; Liu, yunpeng*; Li, Chenxi; Qi, Lin; Xia, Xin; Liu, Tianci; Hu, Zhuhua, Multi-branch Feature Difference Learning Network for Cross-Spectral Image Patch Matching[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022.
[5]Yun Chu, Pu Li, Yong Bai*, Zhuhua Hu, Yongqing Chen, Jiafeng Lu, Group channel pruning and spatial attention distilling for object detection[J]. Applied Intelligence, 2022.
[6]Yu C, Liu Y*, Hu Z*, et al. Precise segmentation and measurement of inclined fish's features based on U-net and fish morphological characteristics [J]. Applied Engineering in Agriculture, 2021: 0.
[7]Yu Chuang, Liu Yunpeng, Hu Zhuhua*, Xia Xin*, Accurate segmentation of remote sensing cages based on U-Net and voting mechanism [C]. “智能感知与跨域协同”体系研究前沿论坛会议论文集, 中国 长春, 09月25号 – 27号, 2021.
[8]Longqin Gong, Zhuhua Hu*, Xaioyi Zhou. A real time video object tracking method for fish [C]. the 6th International Conference on Machine Learning and Soft Computing (ICMLSC 2022), Haikou, China, January 15-17, 2022.
[9]Kejia Huo, Zhuhua Hu*, Dake Liu*. Rate Matching and Interleaved Hardware Sharing Design [C]. the 2021 IEEE the 4th International Conference on Electronics and Communication Engineering (ICECE2021), IEEE, Xi'an, China, December 17-19, 2021.
[10]Zhuhua Hu, Xianghui Li, Xinyu Xie, Yaochi Zhao*. Research on Abnormal Behavior Recognition of Underwater Fish Body Based on Deep Learning Network [C]. the 6th International Conference on Machine Learning and Soft Computing (ICMLSC 2022), Haikou, China, January 15-17, 2022.
[11]Yutong Dai, Chong Zhang, Zhuhua Hu*, Yaochi Zhao, RF2Net: Salient Object Detection Using Level Set Loss and Reverse Attention Fusion Feed Network[C]// The 14th International Conference on Digital Image Processing (ICDIP 2022), Wuhan, China, 2022.5.20-23.
[12]Longqin Gong, Zhuhua Hu*, Xaioyi Zhou. A few samples underwater fish tracking method based on semi-supervised and attention mechanism, 2022 6th International Conference on Robotics and Machine Vision (ICRMV 2022), Xiamen, China, February 26-28, 2022.
[13]Yaochi Zhao, Shiguang Liu*, Zhuhua Hu. Dynamically Balancing Class Losses in Imbalanced Deep Learning. Electronics Letters, 2021.12.
[14]Yaochi Zhao, Shiguang Liu*, Zhuhua Hu*. Focal Learning on Stranger for Imbalanced Image Segmentation. IET Image Processing, 1–19 (2022).
[15]Kejia Huo, Zhuhua Hu*, Dake Liu. Design and Implementation of Shared Memory for Turbo and LDPC Code Interleaver[J], Wireless Communications and Mobile Computing, 2022.
[16]Xie X, Hu Z*, Chen M, et al. An Active and Passive Reputation Method for Secure Wideband Spectrum Sensing Based on Blockchain[J]. Electronics, 2021, 10(11): 1346.
[17]Xiaokang Xiong, Yuhang Dai, Zhuhua Hu*, Kejia Huo, Yong Bai, Hui Li, Dake Liu, Hardware Sharing for Channel Interleavers in 5G NR Standard [J], Security and Communication Networks, 2021.
[18]Yuexin Fu, Zhuhua Hu*, Yaochi Zhao, Mengxing Huang*. A Long-Term Water Quality Prediction Method Based on the Temporal Convolutional Network in Smart Mariculture[J]. Water, 2021, 13(20): 2907.
[19]Xianghui Li, Xin Xia, Zhuhua Hu*, Bing Han, Yaochi Zhao*. Intelligent Detection of Underwater Fish Speed Characteristics Based on Deep Learning [C]. the 5th Asian Conference on Artificial Intelligence Technology in Haikou,China (ACAIT 2021), Haikou,China, October 29-31 2021.
[20]Xinyu Xie, Jiaying Wang, Zhuhua Hu*, Yaochi Zhao*. Intelligent Detection of Mango Disease Spores Based on Mask Scoring R-CNN [C]. the 5th Asian Conference on Artificial Intelligence Technology in Haikou,China (ACAIT 2021), Haikou,China, October 29-31 2021.
[21]Chuang Yu, Zhuhua Hu*, Bing Han, Peng Wang, Yaochi Zhao*, Huaming Wu. Intelligent Measurement of Morphological Characteristics of Fish Using Improved U-net [J]. Electronics, 2021, 10(12), 1426.
[22]Zhuhua Hu, Ruoqing Li, Xin Xia, Chuang Yu, Xiang Fan, Yaochi Zhao. A method overview in smart aquaculture[J]. Environmental Monitoring and Assessment, 2020, 192(8): 1-25.
[23]Mingshan Xie, Yong Bai*, Mengxing Huang,Yanfang Deng, and Zhuhua Hu. Energy-and-Time-Aware Data Acquisition for Mobile Robots Using Mixed Cognition Particle Swarm Optimization [J]. IEEE Internet of Things Journal, 2020, 7(8), 7734-7750.
[24]Yaochi Zhao, Shiguang Liu*, Zhuhua Hu, Yong Bai, Chong Shen, Xuequn Shi, Separate degree based Otsu and signed similarity driven level set for segmenting and counting anthrax spores[J]. Computers and Electronics in Agriculture, vol. 169: 105230, 2020.
[25]Chuang Yu, Xiang Fan, Zhuhua Hu*, Xin Xia, Yaochi Zhao, Yong Bai and Ruoqing Li. Segmentation and Measurement Scheme for Fish Morphological Features Based on Mask R-CNN [J]. Information Processing in Agriculture, 2020, 7(4): 523-534..
[26]Chuang Yu, Zhuhua Hu*, Ruoqing Li, Xin Xia, Yaochi Zhao, Xiang Fan, Yong Bai. Segmentation and Density Statistics of Mariculture Cages from Remote Sensing Images Based on Mask R-CNN [J]. Information Processing in Agriculture, 2021, doi:https://doi.org/10.1016/j.inpa.2021.04.013. (EI)
[27]Juntao Liu, Chuang Yu, Zhuhua Hu*, Yaochi Zhao, Yong Bai, Mingshan Xie, Jian Luo, Accurate Prediction Scheme of Water Quality in Smart Mariculture With Deep Bi-S-SRU Learning Network [J], IEEE Access, vol. 8, pp. 24784-24798, 2020.
[28]Jiaying Wang, Yaochi Zhao, Yu Wang, Wei Chen, Hui Li, Yugui Han and Zhuhua Hu*. Marked Watershed Algorithm Combined with Morphological Preprocessing Based Segmentation of Adherent Spores [C]//International Conference in Communications, Signal Processing, and Systems. Springer, Singapore, 2019: 1316-1323.
[29]Xin Xia, Yaochi Zhao, Zhuhua Hu*, Zezhong Wang, Chuang Yu ,Yong Bai. Fish Behavior Tracking Algorithm Based on Multi-Domain Deep Convolutional Neural Network [C]// 2019 4th International Conference on Multimedia Systems and Signal Processing (ICMSSP 2019), Guang Zhou, China, May 10-12, 2019.
[30]Yaochi Zhao, Yu Wang, Jiaying Wang, Zhuhua Hu*, Fusheng Lin, Mengyao Xu. GMM and DRLSE Based Detection and Segmentation of Pests: A Case Study [C]// 2019 4th International Conference on Multimedia Systems and Signal Processing (ICMSSP 2019), Guang Zhou, China, May 10-12, 2019.
[31]Zhuhua Hu, Yiran Zhang, Yaochi Zhao *, Mingshan Xie, Jiezhuo Zhong, Zhigang Tu and Juntao Liu. A Water Quality Prediction Method Based on the Deep LSTM Network Considering Correlation in Smart Mariculture [J]. Sensors, 2019, 19(6): 1420.
[32]Yaochi Zhao, Fusheng Lin, Shiguang Liu*, Zhuhua Hu, Hui Li, Yong Bai. Constrained-Focal-Loss based Deep Learning for Segmentation of Spores [J]. IEEE Access, vol. 7, pp. 165029 – 165038, 2019.
[33]Zhuhua Hu, Yong Bai *, Mengxing Huang, Mingshan Xie and Yaochi Zhao. A Self-Adaptive Progressive Support Selection Scheme for Collaborative Wideband Spectrum Sensing [J]. Sensors, 2018, 18(9): 3011.

专利

1. 赵瑶池，胡祝华. “一种基于图像处理技术的显微图像炭疽孢子密度计算方法”.国内发明专利. 申请号：202010069704X. 专利号：ZL202010069704.X ， 2022.03.01（已授权）

2. 胡祝华，赵瑶池，周林，一种鱼体形态学特征全自动测量装置，实用新型，ZL202120855337.6， 2021.10.29。（已授权）

3. 胡祝华，谢鑫宇，赵瑶池，一种基于主被动信誉度划分的可信宽带频谱感知方法，发明专利，专利号：ZL2021104819197. 2022年04月12日.（已授权）

4. 胡祝华，赵瑶池. 一种基于活动轮廓模型的植物病虫害检测方法. 国内发明专利. 申请号：2014107145995，专利号：ZL201410714599.5, 2018.11.13.（已授权）

5. 蔡宽麒，刘博艺，胡祝华等. 一种承载式四轮移动机器小车. 实用新型专利. 申请号：2017205870039.专利号: ZL 201720587003.9, 2018.05.15.（已授权）

6. 赵瑶池，胡祝华，曹路. 一种鱼眼特征自动测量方法. 国内发明专利，专利号：ZL2017105829325, 2021.10.08（已授权）。

7. 胡祝华，赵瑶池，曹路，骆剑. 一种鱼体形态拍摄装置. 实用新型.专利号：ZL201720794798.0, 2018.05.01.（已授权）

著作

1. 王振龙，胡祝华.《物联网与通信技术的理论与实践探索》. 电子科技大学出版社. 2019.10, ISBN: 978-7-5647-5451-8.CIP核准号：2018009134。

2. 白勇，胡祝华编著. 《GNU Radio软件无线电技术》. 中国科学出版社. 256千字，2017.01, ISBN: 978-7-0305-0757-0。CIP核准号：2016279409。

3. 胡祝华、赵瑶池著.《计算机视觉与机器学习技术在智慧农业中的应用研究》， 哈尔滨工业大学出版社，ISBN: 978-7-5603-8053-7, CIP核准号：2019045734，2019.3.

4. 黄霞，胡祝华.《现代软件架构与模式解析研究》，哈尔滨工业大学出版社，2019.04，ISBN: 978-7-5603-8107-7，CIP核准字:2019067884，2019.4。

5. Zhuhua Hu. “Agricultural Robots - Fundamentals and Applications”, 2019.1. ISBN: 978-1-78984-934-9. 著作章节：Agricultural Robot for Intelligent Detection of Pyralidae Insects. IntechOpen, London, UK.