职称：讲师
工作部门：汕头大学 工学院 机械工程系 （智能制造技术教育部重点实验室）
办公地点：汕头大学科技楼611室
电子邮箱：fanyh@stu.edu.cn；17852833762@163.com
导师类型：硕士研究生导师
欢迎具有机械工程、机器人技术工程、机器视觉、智能控制及人工智能等相关专业背景的同学积极报考。
一、个人简介
樊玉和，男，工学博士，现就职于汕头大学工学院机械工程系，硕士研究生导师。主要研究方向为智能机器人技术，包括机器视觉、深度学习及图像识别检测与分割领域、机器人轨迹规划及智能控制、非线性流-固力学特性建模与分析、机器人运动学及动力学建模与分析、以及食品流变学特性分析。曾担任本领域Pattern recognition、Engineering applications of artificial intelligence、Knowledge-based systems、Neural networks、Expert systems with applications、Measurement、Journal of food engineering、Neurocomputing、Measurement science and technology、Image and vision computing等多家国际著名学术期刊的审稿人，曾以第一作者身份发表SCI论文10余篇。
二、学术论文及专利
1. Yuhe Fan, Lixun Zhang*, Canxing Zheng, Xingyuan Wang, Keyi Wang, and Jinghui Zhu, Motion behavior of non-Newtonian fluid-solid interaction foods, Journal of Food Engineering, 2023, 347, 111448 (SCI, JCR 1区, 中科院1区TOP, IF=6.2)
2. Yuhe Fan, Lixun Zhang*, Canxing Zheng, Yunqin Zu, Xingyuan Wang, and Jinghui Zhu, Real-time and accurate meal detection for meal-assisting robots, Journal of Food Engineering, 2024, 371, 111996 (SCI, JCR 1区，中科院2区TOP, IF=5.8)
3. Yuhe Fan, Lixun Zhang*, Canxing Zheng, Zekun Yang, Huaiyu Che, Zhenhan Wang, Feng Xue, and Xingyuan Wang, Measuring posture and volume of meals for meal-assisting robotics, Journal of Food Engineering, 2025, 392, 112485 (SCI, JCR 1区, 中科院2区TOP, IF=5.8)
4. Yuhe Fan, Lixun Zhang*, Canxing Zheng, Zhenhan Wang, Huaiyu Che, and Xingyuan Wang, Study on adaptive fuzzy force control based on food rheology properties, Journal of Food Engineering, 2026, 406, 112818 (SCI, JCR 1区, 中科院2区TOP, IF=5.8)
5. Yuhe Fan, Lixun Zhang*, Canxing Zheng, Feng Xue, Zhenhan Wang, Xingyuan Wang, and Lan Wang, Contact forces and motion behavior of non-Newtonian fluid–solid food by coupled SPH–FEM method, Journal of Food Science, 2023, 1–21 (SCI, JCR 2区，中科院2区, IF=4.0)
6. Yuhe Fan, Lixun Zhang*, Jinghui Zhu, Yunqin Zu, and Xingyuan Wang, Viscoelasticity and friction of solid foods measurement by simulating meal-assisting robot, International Journal of Food Properties, 2022, 25(1), 2301–2319 (SCI, JCR 2区，中科院2区，IF=3.9)
7. Yuhe Fan, Lixun Zhang*, Canxing Zheng, Xingyuan Wang, Jinghui Zhu, and Lan Wang, Instance segmentation of faces and mouth‑opening degrees based on improved YOLOv8 method, Multimedia Systems, 2024, 30, 269 (SCI, JCR 1区, 中科院3区，IF=3.5)
8. Yuhe Fan, Lixun Zhang*, Canxing Zheng, Yunqin Zu, Keyi Wang, and Xingyuan Wang, Real‑time and accurate model of instance segmentation of foods, Journal of Real-Time Image Processing, 2024, 21, 80 (SCI, JCR 2区，中科院 3区，IF=3.0）
9. Yuhe Fan, Lixun Zhang*, Canxing Zheng, Zhenhan Wang, Jinghui Zhu, and Xingyuan Wang, Real-time and accurate detection for face and mouth openings in meal-assisting robotics, Signal, Image and Video Processing, 2024, 18, 9257–9274 (SCI, JCR 3区，中科院 4区，IF=2.3)
10. Yuhe Fan, Lixun Zhang*, Xingyuan Wang, Keyi Wang, Lan Wang, Zhenhan Wang, Feng Xue, Jinghui Zhu, and Chao Wang, Rheological thixotropy and pasting properties of food thickening gums orienting at improving food holding rate, Applied Rheology, 2022, 32, 100–121 (SCI, JCR 2区, 中科院4区, IF=2.1)
11. Yuhe Fan, Lixun Zhang*, Canxing Zheng, Zhenhan Wang, Zekun Yang, Feng Xue, Huaiyu Che, and Xingyuan Wang, Real-time mouth posture estimation for meal-assisting robots, Robotica, 2025, 1-28 (SCI, JCR 3区，中科院 4区，IF=2.7）
12. Yuhe Fan, Guangyi Zhou, Guitang Zhang, and Feng Li*, Comparative study on the mechanical behavior of the interface between natural cartilage and artificial cartilage, Soft Materials, 2021, 19 (4), 400-419 (SCI, JCR 4区，中科院4区，IF=1.6）
13. Yuhe Fan, Lixun Zhang*, Keyi Wang, Yi Liu, Jinghang Li, Zhenhan Wang, Feng Xue, Huaiyu Che, An Integrated Neural Network Model for Classifying Dysphagia Intensity from Facial Expressions, In: Proceedings of 2025 IEEE International Conference on Mechatronics and Automation August 3-6, Beijing, China, 2025, 511-515.（国际会议论文）
14. 李锋，樊玉和，梁辉，基于改进BP神经网络PID控制器温室温湿度控制研究，计算机与数字工程，2021, 49(5), 908-914 (中文科技核心）
15. 李锋，樊玉和，王安敏，张桂堂，基于改进布谷鸟优化BP神经网络控制环境参量研究，计算机与数字工程，2021, 49(8), 1505-1510 (中文科技核心）
16. 李锋，樊玉和，周广益，张桂堂，王安敏，人工髋臼，专利号：ZL 201910794932.0，授权公告号：CN110464511B, 2024年08月23日（授权发明专利）
三、参与的科研项目
1. 国家重点研发计划项目子课题，智能助食辅具技术研发，项目编号为2020YFC2007700，2020年11月-2023年12月，课题经费592万元，主要参与
2. 中央高校基本科研业务费专项资金资助项目，项目编号为3072022CF0703，2022年10月-2025年11月，参与
