一、个人简介
林坤森，工学博士，副教授，硕士研究生导师（环境工程），2024年1月毕业于同济大学环境工程与科学学院环境科学与工程专业。主要研究方向为机器学习/深度学习应用于固体废物处理与资源化。2024届上海市优秀毕业生；主持上海市高峰学科项目1项；目前已发表SCI 26篇（其中第一作者13篇，通讯作者5篇），累计影响因子IF>240，包括JHM，JCLP，Chemosphere和JEM等国际著名期刊，10项计算机软件著作权（其中第一作者 8项），多次受邀国内外国际会议，获国家奖学金，同济大学学术先锋提名奖，同济大学环境学院十佳学术达人等荣誉。
Google scholar: https://scholar.google.com.hk/citations?view_op=list_works&hl=zh-CN&user=tjdl_0gAAAAJ
二、研究方向
1、大数据和深度学习算法开发与应用
2、固体废物资源化和无害化处置
3、深度学习应用于新型污染物与环境健康毒性点位识别
三、代表性论文
1、Kunsen Lin, Youcai Zhao, Jia-hong Kuo, Hao Deng, Feifei Cui, Zilong Zhang, Meilan Zhang, Chunlong Zhao, Xiaofeng Gao, Tao Zhou, Tao Wang. Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches[J]. Journal of Cleaner Production, 2022, 346:130943. (高被引)
2、Kunsen Lin, Youcai Zhao, Jia-Hong Kuo, Chiou-Liang Lin. Data-driven models applying in household hazardous waste: Amount prediction and classification in Shanghai. Ecotoxicology and Environmental Safety, 2023, 858, 159759.
3、Kunsen Lin, Tao Zhou, Xiaofeng Gao, Zongshen Li, Huabo Duan, Huanyu Wu, Guanyu Lu, Youcai Zhao. Deep convolutional neural network for construction and demolition waste classification: VGGNet structures, cyclical learning rate, and knowledge transfer[J]. Journal of Environmental Management, 2022,318:115501.
4、Kunsen Lin, Youcai Zhao, Jia-Hong Kuo, Chiou-Liang Lin. Agglomeration-influenced transformation of heavy metals in gas-solid phase during simulated sewage sludge co-incineration: Effects of phosphorus and operating temperature [J]. Science of the Total Environment, 2023, 858, 159759.
5、Kunsen Lin, Youcai Zhao, Lu Tian, Chunlong Zhao, Meilan Zhang, Tao Zhou. Estimation of municipal solid waste amount based on one-dimension convolutional neural network and long short-term memory with attention mechanism model: A case study of Shanghai[J]. Science of The Total Environment, 2021, 791(1):148088.
6、Kunsen Lin, Youcai Zhao, Jia-hong Kuo. Deep learning hybrid predictions for the amount of municipal solid waste: A case study in Shanghai [J]. Chemosphere, 2022 (307),136119.
7、Kunsen Lin, Lu Tian, Youcai Zhao, Chunlong Zhao, Meilan Zhang, Tao Zhou. Pyrolytic characteristics of fine materials from municipal solid waste using TG-FTIR, Py-GC/MS, and deep learning approach: Kinetics, thermodynamic, and gaseous products distribution [J]. Chemosphere, 2022, 293:133533.
8、Kunsen Lin, Youcai Zhao, Meilan Zhang, Wenjie Shi, Jia-Hong Kuo. Data-driven models employed to waste plastic in China: Generation, classification, and environmental assessment [J]. Journal of Industrial Ecology, 2022,27(1):170-182.
9、Kunsen Lin, Youcai Zhao, Lina Wang, Wenjie Shi, Feifei Cui, Tao Zhou. MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting[J]. Frontier of Environmental Science and Engineering, 2023, 17(6), 77.
10、Kunsen Lin, Youcai Zhao, Xiaofeng Gao, Meilan Zhang, Chunlong Zhao, Lu Peng, Qian Zhang, Tao Zhou. Applying a deep residual network coupling with transfer learning for recyclable waste sorting [J]. Environmental Science and Pollution Research, 2022,29(60):1-15.
11、Kunsen Lin, Youcai Zhao, Tingting Zhou, Xiaofeng Gao, Chunbo Zhang, Beijia Huang, Qinyan Shi. Applying machine learning to fine classify construction and demolition waste based on deep residual network and knowledge transfer[J]. Environment, Development, Sustainability, 2022,25(8):1-18.
12、Kunsen Lin, Jia-Hong Kuo, Chiou-Liang Lin, Zhen-Shu Liu, Jingyong Liu. Sequential extraction for heavy metal distribution of bottom ash from fluidized bed co-combusted phosphorus-rich sludge under the agglomeration/defluidization process [J]. Waste Management & Research,2019, 38(2): 122-133.
13、Kunsen Lin, Jia-Hong Kuo, Kun Xiong, Chiou-Liang Lin, Jingyong Liu. Effect of phosphorus concentration on alkali and heavy metals transformation under agglomeration/defluidization during fluidized bed simulated sludge co-combustion [J]. Waste and Biomass Valorization, 2020, 11(12): 6903-6916.
14、Zhicao Tan, Youcai Zhao, Kunsen Lin*, Tao Zhou. Multi-Task Pretrained Language Model with Novel Application Domains Enables More Comprehensive Health and Ecological Toxicity Prediction. Journal of Hazardous Materials, 2024,135265.
15、Haojia Chen, Yudong Cao, Wei Qin, Kunsen Lin*, Yan Yang, Changqing Liu, Hongbing Ji. Machine Learning models for predicting thermal desorption remediation of soils contaminated with polycyclic aromatic hydrocarbons. Science of The Total Environment, 2024, 927, 172173.
16、Wenjie Shi, Kunsen Lin*, Youcai Zhao, Zongsheng Li, Tao Zhou. Toward a comprehensive understanding of alicyclic compounds: Bio-effects perspective and deep learning approach. Science of the Total Environment, 2024, 912: 168927.
17、Zhichao Tan, Youcai Zhao, Tao Zhou, Kunsen Lin*. Hi-MGT: A hybrid molecule graph transformer for toxicity identification [J]. Journal of Hazardous Materials, 2023, 457: 131808.
18、Wenjie Shi, Youcai Zhao, Zongsheng Li, Tao Zhou, Kunsen Lin*. A Transformer-Based Enhanced Model for Accurate Prediction and Comprehensive Analysis of Hazardous Waste Generation in Shanghai: Implications for Sustainable Waste Management Strategies [J]. Chemosphere, 2023, 338:139579
四、主要获奖成果
1、2024年06月 2024届上海市研究生优秀毕业生
2、2023年11月 同济大学学术先锋提名奖
3、2023年09月 同济大学优秀博士生奖学金
4、2022年11月 全国环境博士学术会议 口头汇报一等奖
4、2022年09月 国家公派留学奖学金
5、2022年09月 国家奖学金
6、2021年11月 第六届同济学环境科学与工程学院“十佳学术达人”称号
7、2021年09月 同济大学研究生优秀学生奖学金（肯特-杨钦环境教育奖励金）
五、科研项目
1、上海市高峰学科培育项目.固废复杂系统分子运动与图卷积推理算法关联方法及其应用 2022.6-2024.6 主持
2、国家重点研发项目. 存余垃圾无害化处置与二次污染防治技术及装备 2020.9-2023.6 参与
3、上海科委研发项目. 危险废物智能管控系统关键技术及装备研发与示范 2021.9-2024.6 参与
4、上海科委研发项目. 干垃圾智能转运与高值利用关键技术装备研究与示范 2021.6-2024.6参与
5、上海市科委课题. 生活垃圾高效脱水与快速检测技术 2020.6-2021.12参与
六、联系方式
电子邮箱：kslin@fjnu.edu.cn
通讯地址：福建省福州市闽侯县上街镇福建师范大学旗山校区理工楼14号楼（350117）