research

I focus on integrating machine learning techniques within process systems engineering (PSE). PSE encompasses a range of methods, including (i) Modeling/Simulation, (ii) Data Analytics for process monitoring, (iii) Process Design, (iv) Process Synthesis, (v) Optimization, and (vi) Control. These approaches address challenges across various engineering domains: (i) Energy Systems (Sustainability), (ii) Supply Chain Systems (Smart Manufacturing), (iii) Molecular Systems (Novel Materials), and (iv) Biosystems (Effective Healthcare).

The following visualization illustrates the role of PSE:

Detailed research projects will be populated soon