Umair Hassan Bhatti, Ph.D.

Postdoctoral Fellows

Postdoctoral Fellows

Current

Research Interests

My research interests include synthesis and characterization of heterogeneous catalysis, process integration, and catalyst-assisted CO2 capture.

Selected Publications

  • Practical and inexpensive acid-activated montmorillonite catalysts for energy-efficient CO2 capture. Bhatti, U. H., Kazmi, W. W., Muhammad, H.A., Min, G. H., Nam, S. C., Baek, I. H. , Green Chemistry, 22, 6328-6333, (2020).
  • Ion-exchanged montmorillonite as simple and effective catalysts for efficient CO2 capture. Bhatti, U. H., Sultan, H., Min, G. H., Nam, S. C., Baek, I. H. , Chemical Engineering Journal, 127476, (2020).
  • Catalytic activity of facilely synthesized mesoporous HZSM-5 catalysts for optimizing the CO2 desorption rate from CO2-rich amine solutions. Bhatti, U. H., Shah, A. K., Hussain, A., Khan, H. A., Park, C. Y., Nam, S. C., Baek, I. H. , Chemical Engineering Journal, 389, 123439, (2020).
  • Efficient Ag2O–Ag2CO3 catalytic cycle and its role in minimizing the energy requirement of amine solvent regeneration for CO2 capture. Bhatti, U. H., Sivanesan, D., Nam, S., Park, S. Y., Baek, I. H., ACS Sustainable Chemistry & Engineering, 7(12), 10234-10240, (2019).
  • Performance and mechanism of metal oxide catalyst-aided amine solvent regeneration. Bhatti, U.H., Nam,S., Park,S., Baek, I.H., ACS Sustainable Chemistry & Engineering, 6 (9), 12079-12087, (2018).

Education

  • PhD, University of Science and Technology, South Korea, 2021
  • MS, University of Science and Technology, South Korea, 2017

Professional Profile

  • 2021-Present: Postdoctoral fellow, KAUST, Thuwal, Saudi Arabia.
  • 2015-2021: Ph.D. student: University of Science and Technology, South Korea.

Awards

  • Young scientist research award
  • Ministerial excellence award

KAUST Affiliations

  • KAUST Catalysis Center (KCC)
  • Division of Physical Science and Engineering (PSE)

Research Interests Keywords

Heterogeneous Catalysis CO2 Conversion CO2 Capture Process Modeling