Dr. Jianping Li is an Associate Professor
in the Department of Chemical Engineering at the Guangdong Technion–Israel Institute of Technology (GTIIT). He received his B.Eng. in Chemical Engineering from Dalian University of Technology and his Ph.D. in Chemical Engineering from Texas A&M University. After earning his Ph.D., he conducted postdoctoral research at the University of Wisconsin–Madison and Argonne National Laboratory. He held a visiting postdoctoral position at Princeton University, a joint appointment at the University of Chicago, and a visiting scientist position at Hangzhou Gongshu Gongda Institute of Future Technology. Prior to joining GTIIT, he was an Assistant Professor in the School of Chemical Engineering at the University of Tulsa.
Dr. Li’s research focuses on process systems engineering. His research develops methodologies integrating mathematical optimization, machine learning, molecular simulation, and techno-economic analysis for process intensification, integrated product and process design, biomass and plastic waste valorization, and sustainable energy system optimization. His research has been published in journals including AIChE J., Chem. Eng. Sci., ACS Sustainable Chem. Eng., Ind. Eng. Chem. Res., and Nat.Energy. He serves as a reviewer for AIChE J., Chem. Eng. Sci., Comput. Chem. Eng., and other international journals.
Google scholar profile: https://scholar.google.com/citations?user=mLbsZxMAAAAJ&hl=en
- Process Systems Engineering
- Green Chemical Engineering
- Intelligent Manufacturing
- Low-Carbon Manufacturing
- Process Intensification
- Process Synthesis
- Mathematical Optimization
- Machine Learning
- Molecular Simulation
- Sustainable Energy Systems
1. Gomes, R. J.; Li, J.; Xu, J.; Sarkar, B.; Mohebi, M.; Gabriel, J.; Mathew, T. J.; Roy, I.; Paulson, N.; Liu, C.; Iloeje, C. O.; Amanchukwu, C. V. Reactive CO₂ Capture via Controlled Amine Speciation in Non-aqueous Electrolytes. Nature Energy, 2026, 11, 756–766.
2. Li, J.; Van Lehn, R. C.; Maravelias, C. T. An Explainable Classification Framework for Determining and Understanding the Suitability of Solvent Extraction for Bioproduct Recovery. ACS Sustainable Chemistry & Engineering, 2024, 12, 5436−5446
3. Li, J.; Van Lehn, R. C. Effects of Acid Dissociation and Ionic Solutions on the Aggregation of 2-Pyrone-4,6-dicarboxylic Acid. ACS Omega, 2024, 9(39), 40759–40768.
4. Li, J.; Hasan, M. M. F. A Parametric Approach to Identify Synergistic Domains of Process Intensification for Reactive Separation. Chemical Engineering Science, 2023, 267, 118337.
5. Li, J.; Maravelias, C. T.; Van Lehn, R. C. Adaptive Conformer Sampling for Property Prediction Using the Conductor-like Screening Model for Real Solvents. Industrial & Engineering Chemistry Research, 2022, 61(25), 9025–9036.
6. Li, J.; Demirel, S. E.; Hasan, M. M. F. Process Synthesis Using Block Superstructure with Automated Flowsheet Generation and Optimization. AIChE Journal, 2018, 64(8), 3082.
7. Demirel, S. E.; Li, J.; Hasan, M. M. F. Systematic Process Intensification Using Building Blocks. Computers & Chemical Engineering, 2017, 105, 2–38.