My research interest is in developing sustainable energy technologies with a negative environmental impact. My research scope of work includes developing reduced chemical kinetic models to aid computational fluid dynamic simulations in real engines. I have also worked on utilizing machine learning techniques to predict different behaviour of engine combustion. Currently, I am looking forward to a novel reactor technology in the production of renewable hydrogen production with the ultimate goal on negative carbon footprint.

• Performance Comparison of Liquid–Liquid Extraction in Parallel Microflows
  A. B. Vir, A. S. Fabiyan, J. R. Picardo, S. Pushpavanam
  Ind. Eng. Chem. Res., 53(19), 81718181, (2014)
• Machine Learning Techniques for Classification of Combustion Events under Homogeneous Charge Compression Ignition (...
  Fabiyan Angikath, et al.
  No. 2020-01-1132. SAE Technical Paper, (2020)
• Investigating the Effects of C3 and C4 Alcohol Blending on Ignition Quality of Gasoline Fuels.
  F. Angikath, N. Naser, and S. M. Sarathy
  Energy & Fuels 34.7, 8777-8787, (2020)

• 2017 - Present: MS/PhD.,Chemical Engineering, KAUST, Saudi Arabia
  
  
• 2015: B. Tech., Chemical Engineering, IIT Madras, Chennai, India

• ​​2017: VSRP Intern, KAUST, Thuwal, Saudi Arabia
  
• 2015-2017: Process Manager, Reliance Industries LTD, Vadodara, India

• ​​Clean Combustion Research Center (CCRC)
  
• Division of Physical Sciences and Engineering (PSE)​