Prof. Deepoo Kumar’s research interests are in the experimental and computational studies related to extraction and processing of metals. His experimental work includes reduction of hematite pellets using hydrogen, steel refining, steel­slag and slag­refractory interactions, inclusion characterization, processing of electronic waste 4 and quenching of steel. Laboratory and characterization facilities include atmosphere­controlled induction furnace, high temperature confocal laser scanning microscope 2 and SEM­based automated inclusion analysis. He has developed kinetic models for ladle refining 1 , RHdegassing and BOF process using FactSage macro. These models can predict changes in steel and slag composition during steel production. In addition, ladle refining and RH­degassing models can calculate changes in inclusion composition and amount with time as well. He works in close collaboration with major steel producers of the country on experimental, modeling and characterization related problems. Some examples are as follows: heat transfer model for a bell annealing furnace for Theis Precision Steel 3 , static models for BOF and EAF to perform sustainability studies for Tata Steel. He is currently working with JSW on developing ASPEN+ model for iron and steelmaking plant to find a balance between cost and CO2 emission. He has conducted workshops on FactSage and clean steel production.