算法工程师 · 工学博士 · 江苏扬州 Computer Vision Engineer · Ph.D. · Yangzhou, China
李振业Zhenye Li
把深度学习和高光谱成像做成产线上真正运转的设备。
研究方向：计算机视觉 / 无损检测 / 高光谱与近红外成像 / 模型轻量化部署。
Turning deep learning and hyperspectral imaging into inspection systems that work on real production lines.
Research: computer vision / non-destructive inspection / hyperspectral and NIR imaging / efficient deployment.
关于我About Me About
我是李振业，工学博士。本科就读于南京林业大学自动化专业，2019—2021 年攻读控制科学与工程硕士， 2021—2025 年攻读机械工程博士，并于 2023—2024 年在加拿大阿尔伯塔大学联合培养。
我的研究聚焦深度学习与近红外/高光谱成像在农产品和工业品无损检测中的应用， 目前在工业界从事计算机视觉与算法工程工作。棉花地膜分选、糖果质检、木皮缺陷检测和烟梗杂质分选等项目， 都从算法一路做到了产线设备，其中部分设备已应用于海外市场。
I am Zhenye Li, Ph.D. in Engineering. After studying Automation at Nanjing Forestry University, I completed a master's program in Control Science and Engineering from 2019 to 2021 and a Ph.D. in Mechanical Engineering from 2021 to 2025. From 2023 to 2024, I was a joint Ph.D. researcher at the University of Alberta, Canada.
My research focuses on deep learning with near-infrared and hyperspectral imaging for non-destructive inspection. I now work in industry on computer vision and production-grade algorithms. My projects in cotton-film sorting, candy inspection, wood veneer defect detection and tobacco impurity sorting have progressed from research prototypes to deployed equipment.
南京林业大学机械工程博士Ph.D. in Mechanical Engineering · NJFU
2025 年取得博士学位Doctoral degree awarded in 2025
国际研究经历International Research加拿大阿尔伯塔大学联合培养博士Joint Ph.D. Researcher · University of Alberta
2023—2024 · Edmonton, Canada2023–2024 · Edmonton, Canada
媒体报道Media Feature学习强国专题报道Featured by Xuexi Qiangguo
科研与创新实践获得国家级学习平台关注Research and innovation featured on a national learning platform
本科创新项目 · 现代快报Undergraduate Project · Modern Express牛！这群大学生发明出擅长写古诗的机器人A Poetry-writing Calligraphy Robot Built by Students
书法机器人项目获现代快报报道Calligraphy robot project featured by Modern Express
研究方向Research Research
深度学习Deep Learning
目标检测、小样本学习、长尾分布、神经架构搜索与模型泛化。Object detection, few-shot learning, long-tail distributions, neural architecture search and generalization.
高光谱 / 近红外成像Hyperspectral / NIR Imaging
光谱图像分析与多模态融合，让机器看见肉眼看不见的差异。Spectral image analysis and multimodal fusion for differences beyond human vision.
无损检测Non-destructive Inspection
农产品与工业品的缺陷检测、杂质分选与在线实时质量评估。Defect detection, impurity sorting and real-time quality assessment for agricultural and industrial products.
工程落地Production Deployment
边缘端推理、嵌入式部署，把论文里的模型变成产线上的设备。Edge inference and embedded deployment that turn research models into production equipment.
代表论文Selected Publications Publications
在 Google Scholar 查看全部论文View all publications on Google Scholar →
经历Experience Timeline
算法工程师Algorithm Engineer
计算机视觉与光电算法的工程化落地。Production deployment of computer vision and optoelectronic algorithms.
联合培养博士 · University of AlbertaJoint Ph.D. Researcher · University of Alberta
加拿大阿尔伯塔大学，国际联合培养与学术研究经历。International joint training and research experience in Canada.
博士 · 机械工程Ph.D. · Mechanical Engineering
南京林业大学。深度学习与近红外/高光谱成像在农产品无损检测中的应用。两次获博士研究生国家奖学金。Nanjing Forestry University. Deep learning and NIR/hyperspectral imaging for non-destructive inspection of agricultural products. Twice awarded the National Scholarship for Doctoral Students.
硕士 · 控制科学与工程Master's · Control Science and Engineering
南京林业大学。Nanjing Forestry University.
本科 · 自动化B.Eng. · Automation
南京林业大学。省级机器人大赛一等奖、“挑战杯”全国特等奖等。Nanjing Forestry University. Awards include first prize in a provincial robotics competition and a national grand prize in the Challenge Cup.
找到我Get in Touch Contact
学术合作或技术交流，欢迎邮件。For research collaboration or technical discussion, feel free to email me.