Associate Professor, Institute of Urban Environment, Chinese Academy of Sciences, Jan. 2025 – Present

Assistant Professor, Institute of Urban Environment, Chinese Academy of Sciences, Oct. 2022 – Dec. 2025

Ph.D, Chemical & Bimolecular Engineering, Faculty of Engineering, National University of Singapore, Jan. 2019 – Aug. 2022

Master, Environmental Engineering, Institute of Urban Environment, Chinese Academy of Sciences, Sept. 2015 – Jun. 2018

Bachelor, Energy and Power Engineering, School of Energy and Environment, Anhui University of Technology, Sept. 2011 – Jun. 2015

Dr. Jie Li is an associate professor in the Institute of Urban Environment, Chinese Academy of Sciences (CAS). Dr. Jie Li achieved his Ph.D. in the Department of Chemical and Biomolecular Engineering (ChBE), National University of Singapore (NUS) in August 2022. He has published more than 60 peer-reviewed papers, with 38 of them as the first/corresponding author, and 7 of them are ESI highly cited papers. Since 2017, Dr. Jie Li's works have achieved more than 5600 citations with an H index of 40 from Google Scholar.

Environmental Engineering, Resource and Environment, Thermal Chemical Engineering

Publishing 38  peer review papers as first/corresponding author (#: co-first author，*: corresponding author):

1. D Yu, J Li*, Y Wang, L Pan, J He, B Li*. Ensemble Machine Learning Prediction of Compressive Strength in Waste-Derived Sulfoaluminate Cement Paste. Environmental Research, 2026, 123897.

2. J Li*, T Liu, KN Palansooriya, D Yu, G Wan, L Sun, SX Chang, Y Wang*. Zeolite-catalytic pyrolysis of waste plastics: Machine learning prediction, interpretation, and optimization. Applied Energy, 2025, 382, 125258. (highly cited paper)

3. T Liu, W Wang, D Yu, X Zhu, J Li*, Y Wang*. Recent advances in pyrolysis upcycling of waste plastics into hydrocarbon fuels on biochar-based catalysts. Applied Energy, 2025, 391, 125805.

4. J Li*, L Pan, H Abedsoltan, H Wang, T Liu, X Yuan, YS Ok*, Y Wang. Machine learning modeling for hydrolysis recycling of PET waste. Green Chemical Engineering. 2025, https://doi.org/10.1016/j.gce.2025.07.001

5. L Pan, WH Khan, J Li*, K Kubota, Q Wang, Y Wang*. Metabolic mechanism in biosynthesis of polyhydroxyalkanoate from terephthalic acid by mixed microbial consortium. Chemical Engineering Journal, 2025, 163695.

6. L Pan, Y Zhang, J Li*, Q Qi, S Wang, K Kubota, Y Wang*. Recent advances and challenges in low-cost biosynthesis of polyhydroxyalkanoates: A review. International Journal of Biological Macromolecules, 2025, 148379.

7. KN Palansooriya#, J Li#, Y Cai, Y Wang, Z An, SX Chang*. Machine learning models predict organic fertilization effects on soil organic carbon stocks in global agroecosystems. Earth Critical Zone, 2025, 100033.

8. J Li*,#, L Pan#, Y Huang, X Liu, Z Ye, Y Wang. Biochar design for antibiotics adsorption via a hybrid machine-learning-based optimization framework. Separation and Purification Technology, 2024, 348, 127666.

9. S Wang#, J Li#, X Yuan, SS Senadheera, SX Chang, X Wang*, YS Ok*. Machine Learning Predicts Biochar Aging Effects on Nitrous Oxide Emissions from Agricultural Soils. ACS Agricultural Science & Technology, 2024, 4(9), 888-898.

10. J Li*, D Yu, L Pan, X Xu, X Wang, Y Wang*. Recent advances in plastic waste pyrolysis for liquid fuel production: Critical factors and machine learning applications. Applied Energy, 2023, 346, 121350.

11. J Li*, L Pan, Z Li, Y Wang*. Unveiling the migration of Cr and Cd to biochar from pyrolysis of manure and sludge using machine learning. Science of the Total Environment,2023885, 163895.

12. PA Withana#, J Li#, SS Senadheera, C Fan, Y Wang, YS Ok*. Machine learning prediction and interpretation of the impact of microplastics on soil properties. Environmental Pollution, 2023, 122833.

13. X Yuan#, J Li#, JY Lim, A Zolfaghari, DS Alessi, Y Wang, X Wang, YS Ok*. Machine Learning for Heavy Metal Removal from Water: Recent Advances and Challenges. ACS ES&T Water, 2023, 4(3), 820-836

14. L Li#, J Li#, Y Li, J Luo, Y Wang, X Wang*. Perspective of Waste to Energy and Fuel with Negative Emission Potential: Smart Environmental and Techno-economic Analysis. Energy & Fuels, 2023, 37(19), 14556-14573.

15. J Li, L Li, YW Tong*, X Wang*. Understanding and optimizing the gasification of biomass waste with machine learning. Green Chemical Engineering, 2023, 4(1), 123-133. (outstanding paper)

16. J Li, M Suvarna, L Li, L Pan, J Pérez-Ramírez, YS Ok*, X Wang*. A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives. Journal of Cleaner Production, 2022, 367, 133025.

17. J Li, L Li, M Suvarna, L Pan, M Tabatabaei, YS Ok*, X Wang*. (2022). Wet wastes to bioenergy and biochar: A critical review with future perspectives. Science of the Total Environment, 152921. (highly cited paper)

18. J Li, L Pan, M Suvarna, X Wang*. Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening. Chemical Engineering Journal, 2021, 131285.

19. KN Palansooriya#, J Li#, PD Dissanayake, M Suvarna, L Li, X Yuan, B Sarkar, DCW Tsang, J Rinklebe, X Wang*, YS Ok*. Prediction of soil heavy metal immobilization by biochar using machine learning. Environmental Science & Technology. 2022, 56, 7, 4187–4198. (highly cited paper)

20. L Shi#, J Li#, KN Palansooriya, Y Chen, D Hou, E Meers, DCW Tsang, X Wang*, YS Ok*. Modeling phytoremediation of heavy metal contaminated soils through machine learning. Journal of hazardous materials, 2022, 129904.

21. J Li, X Zhu, Y Li, YW Tong, YS Ok, X Wang*. Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource. Journal of Cleaner Production, 2021, 123928. (highly cited paper)

22. SH Lee#, J Li#, X Wang*, KL Yang*. Online-learning-aided optimization and interpretation of sugar production from biomass with analytics for industrial applications. Resources, Conservation and Recycling. 2022, 180, 106206.

23. Z Wang#, J Li#, GP Rangaiah*, Z Wu*. Machine Learning Aided Multi-Objective Optimization and Multi-Criteria Decision Making: Framework and Two Applications in Chemical Engineering. Computers & Chemical Engineering, 2022, 165, 107945.

24. C Li#, J Li#, S Xie, G Zhang, L Pan, R Wang, G Wang, X Pan, Y Wang*, I Angelidaki. Enhancement of heavy metal immobilization in sewage sludge biochar by combining alkaline hydrothermal treatment and pyrolysis, Journal of Cleaner Production. 2022, 133325

25. J Li, M Suvarna, L Pan, Y Zhao, X Wang*. A hybrid data-driven and mechanistic modelling approach for hydrothermal gasification, Applied Energy, 2021, 304, 117674.

26. J Li#, W Zhang#, T Liu, L Yang, H Li, H Peng, S Jiang, X Wang*, L Leng*. Machine learning aided bio-oil production with high energy recovery and low nitrogen content from hydrothermal liquefaction of biomass with experiment verification. Chemical Engineering Journal, 2021, 130649.

27. W Zhang#, J Li#, T Liu, S Leng, L Yang, H Peng, S Jiang, W Zhou, L Leng*, H Li. Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algae, Bioresource Technology, 2021, 126011.

28. L Pan#, J Li#, R Wang, Y Wang, Q Lin, C Li, Y Wang*. Biosynthesis of polyhydroxyalkanoate from food waste oil by Pseudomonas alcaligenes with simultaneous energy recovery from fermentation wastewater. Waste Management, 2021, 131, 268-276.

29. J Li, L Pan, G Yu*, C 29. Li, S Xie, Y Wang. Synthesis of an easily recyclable and safe adsorbent from sludge pyrochar for ciprofloxacin adsorption. Environmental Research, 2021, 110258.

30. J Li, L Zhang, C Li, H Tian, J Ning, J Zhang, YW Tong*, X Wang*. Data-driven and experimental analysis of anaerobic digestion for CH4-rich biogas production, ACS ES&T Engineering, 2021, 2(4), 642-652 (outstanding paper)

31. J Li, L Pan, M Suvarna, YW Tong, X Wang*. Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning. Applied Energy, 2020, 269, 115166. (highly cited paper)

32. C Li#, J Li#, L Pan, X Zhu, S Xie, G Yu, Y Wang*, X Pan, G Zhu, I Angelidaki. Treatment of digestate residues for energy recovery and biochar production: From lab to pilot-scale verification. Journal of Cleaner Production, 2020, 121852.

33. J Li, G Yu*, L Pan, C Li, F You, Y Wang*. Ciprofloxacin adsorption by biochar derived from co-pyrolysis of sewage sludge and bamboo waste. Environmental Science and Pollution Research, 2020, 1-12.

34. J Li#, L Pan#, G Yu*, S Xie, C Li, D Lai, Z Li, F You, Y Wang. The synthesis of heterogeneous Fenton-like catalyst using sewage sludge biochar and its application for ciprofloxacin degradation. Science of the Total Environment, 2019, 654, 1284-1292.

35. J Li#, G Yu#,*, S Xie, L Pan, C Li, F You, Y Wang*. Immobilization of heavy metals in ceramsite produced from sewage sludge biochar. Science of the Total Environment, 2018, 628, 131-140.

36. J Li, G Yu*, L Pan, C Li, F You, S Xie, Y Wang*, J Ma, X Shang. Study of ciprofloxacin removal by biochar obtained from used tea leaves. Journal of Environmental Sciences, 2018, 73, 20-30.

37. 李杰, 潘兰佳, 余广炜*, 汪印, 尤甫天, 谢胜禹. 污泥生物炭制备吸附陶粒. 环境科学, 2017, 38(9), 3970-3978.

38. 李杰，潘兰佳，余广炜*,尤甫天, 谢胜禹, 汪印. 污泥中抗生素热解特性及动力学分析. 环境工程学报, 2017, 11(9), 5213-5219.

Machine learning-aided waste valorization:

Machine learning-aided catalyst development, process optimization, and system design for waste-to-energy/resource and negative carbon emissions.

He is developing new functional carbon materials and designing catalysts for the valorization of waste plastics via artificial intelligence (AI) approaches.