Profile
Prof Saif KHAN
Principal Investigator
Prof Saif Khan is a Professor and Head of the Department of Chemical and Biomolecular Engineering (ChBE) and Chair of the General Education Committee at the National University of Singapore (NUS). He received his PhD in Chemical Engineering from MIT in 2006, where he was an R. T. Haslam Presidential Fellow, and his Bachelor's degree in Chemical Engineering from the Institute of Chemical Technology (ICT) Mumbai in 2001, where he was a University gold medallist.
His research at NUS is focused on (re)imagining the next generation of sustainable, efficient and intelligent molecular manufacturing processes. His group has pioneered the development of novel microfluidics-based ‘factories’ for the manufacture of pharmaceuticals and advanced materials in collaboration with several industrial partners worldwide. He has co-founded two start-up companies focused on advanced materials manufacture and ophthalmic drug delivery respectively.
Singapore - NUS
Researchers
SM3
Research Interest
- Microfluidics
- Machine learning (ML)-augmented automated high-throughput experimentation (HTE)
- Microreactors
- Multiphase flow chemistry
- Continuous manufacturing
- Crystallization and particle engineering
- Soft matter
- Hydrogels
- Chemical product design and formulation
Key Publications
Google Scholar Link
Ng, S. S. Y., Walker, D. M., Hawkins, J. M. and Khan, S. A.*, ‘3D-printed Capillary Force Trap Reactors (CFTRs) for Multiphase Catalytic Flow Chemistry’, Reaction Chemistry and Engineering, 7, 1297-1306 (2022).
Chua, A. Y. H., Tan, G. Y., Yeap, E. W. Q., Walker, D. M., Hawkins, J. M. and Khan, S. A.*, ‘Rapid, automated measurement of dynamic size distributions and size-dependent growth rates of crystal ensembles within microfluidic flow cells’, Crystal Growth and Design, 22 (5), 2869-2879 (2022).
Mekki-Berrada, F., Xie, J. and Khan, S. A.* ‘High-throughput and high-speed absorbance measurements in microfluidic droplets using hyperspectral imaging’, Chemistry – Methods, 2(5), e202100086 (2022).
Mekki-Berrada, F., Ren, Z., Tan, H., Wong, W. K., Zheng, F., Xie, J., Tian, I. P. S., Jayavelu, S., Mahfoud, Z., Bash, D., Hippalgaonkar, K., Khan, S. A., Buonassisi, T., Li, Q. and Wang, X., ‘Twostep machine learning enables optimized nanoparticle synthesis’, npj Computational Materials, 55 (2021).
Liu, C., Xie, J., Wu, W., Wang, M., Chen, W., Idres, S. B., Rong, J., Deng, L-.W., Khan, S. A. and Jie, W., ‘Automated synthesis of prexasertib and derivatives enabled by continuous-flow solidphase synthesis’, Nature Chemistry, 13, 451-457 (2021).