2025-02-24 17:14:53
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时鸿涛,副教授,硕士生导师
办公地点:信息楼319
邮箱:sht@qau.edu.cn
个人履历:
1999.9-2003.7 长安大学,计算机科学与技术,学士
2008.5-2011.1 中国海洋大学,计算机应用,硕士
2014.9-2018.1 中国海洋大学,软件工程,博士
2015.9-2016.3 美国加州大学戴维斯分校,农业信息技术,访问学者
2018.6-至今 yl6809永利皇宫,yl6809永利皇宫,副教授
主要研究方向:
农业大数据、图像识别与人工智能。
主要研究成果:
科研论文:
[1] Wang F, Yu Z, Zhang Y, …Shi, H*. (2024). Source-risk and uncertainty assessment of trace metals in surface sediments of a human-dominated seaward catchment in eastern China[J].Journal of Hazardous Materials, 480.DOI:10.1016/ j.jhazmat. 2024. 135960.
[2] Zhang, J., Li, S., Yang, H., Jiang, J., & Shi, H*. (2024). Efficient and Intelligent Feature Selection via Maximum Conditional Mutual Information for Microarray Data. Applied Sciences, 14(13), 5818.
[3] Mao, Y., Li, H., Wang, Y., Xu, Y., Fan, K., Shen, J., ... Shi, H., ...& Sun, L. (2024). A Novel Strategy for Constructing Ecological Index of Tea Plantations Integrating Remote Sensing and Environmental Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[4] Li, H., Mao, Y., Shi, H., Fan, K., Sun, L., Zaman, S., ... & Wang, Y. (2024). Establishment of deep learning model for the growth of tea cutting seedlings based on hyperspectral imaging technique. Scientia Horticulturae, 331, 113106.
[5] Li, Q., Yang, D., Guan, M., Zhang, H., Xu, X., Shi, H., & Liu, Q. (2022). Effects of modification groups and defects on the desalination performance of multi-walled carbon nanotube (MWNT) membranes. Separation and Purification Technology, 297, 121444.
[6] Li, H., Mao, Y., Wang, Y., Fan, K., Shi, H., Sun, L., ... & Ding, Z. (2022). Environmental simulation model for rapid prediction of tea seedling growth. Agronomy, 12(12), 3165.
[7] Li, H.#, Shi, H.#, Du, A., Mao, Y., Fan, K., Wang, Y., ... & Ding, Z. (2022). Symptom recognition of disease and insect damage based on Mask R-CNN, wavelet transform, and F-RNet. Frontiers in Plant Science, 13, 922797.
[8] Xu, Y., Gai, L., Shi, H., & Zong, H. (2021). Effects of biochar on root morphology chemical properties of rhizosphere soil and nitrogen accumulation of wheat (Triticum aestivum L.).
[9] Shi, H., & Gai, L. (2022). Adsorption of glyphosate by thiourea-modified pig manure biochar and its influential factors.
[10] Guo Y, Shi H*. Automatic Parking System Based on Improved Neural Network Algorithm and Intelligent Image Analysis[J]. Computational Intelligence and Neuroscience, 2021, 2021.
[11] Shi H, Li H, Zhang D, et al. An Efficient Feature Generation Approach based on Deep Learning and Feature Selection Techniques for traffic classification [J]. Computer Networks, 2018.
[12] Shi H, Li H, Zhang D, et al. Efficient and robust feature extraction and selection for traffic classification [J]. Computer Networks, 2017, 119:1-16
科研项目(2024):
1. 山东省重点研发计划项目,韭菜产业链智慧大数据管理平台研究与应用,山东省科技厅,40万,2024-2027,主持
2. 食品营养及包装材料大数据分析平台开发,横向,50万,2024-2026,主持
3. 食品添加剂大数据分析平台开发,横向,50万,2024-2026,主持
4. 食品营养大数据及智能可视化平台开发,横向,50万,2024-2026,主持
5. 畜禽种质资源数据分析系统开发,横向,30万,2024-2027,主持
6. 国家自然科学基金项目,基于图学习的一步式多视图聚类研究,国家自然科学基金委,30万,2024-2027,参与
7. 山东省重点研发计划项目,番茄智能育种大模型构建,山东省科技厅,109万,2024-2027,参与
8. 国家其它部委项目,小型化农产品智能生产系统及设备的开发与应用,国家农业部,95万,2024-2027,参与
9. 山东省重点研发计划项目,苹果生产智能化管控平台研发与分级分选技术集成,山东省科技厅,24万,2024-2027,参与
发明专利:
1. 国家发明专利:一种基于自适应调节基准向量的LTE信号传输系统,申请号:CN201410745475.3,独立发明人
2. 国家发明专利:时鸿涛,一种LTE系统基于自适应调节基准向量的信号传输方法,申请号:CN201410745474.9,独立发明人
3. 国家发明专利:时鸿涛,宫丽宁,牟肖光,一种基于流量预测的启发式路由表更新方法,申请号:CN201310076613.9,第一发明人
4. 国家发明专利:时鸿涛,徐鹏民,盖凌云,一种基于小波能量谱的流量识别方法,申请号:CN 201210067294.0,第一发明人
5.国家发明专利:时鸿涛,一种网络流量预测和异常检测方法,申请号:CN200910158894.6,第一发明人