Prof. (Dr.) Dison Stracke Pfingsten Franco is a chemical engineer at the Federal University of Pampa (2014), with a Master’s (2016) and Ph.D. (2021) in Chemical Engineering from the Federal University of Santa Maria (UFSM), whose research is focused on the application of adsorbents in the removal of emerging contaminants and heavy metals and the application of statistical modeling. He has a degree for non-licensed graduates from the Instituto Federal Sul-rio-grandense (2022), with the development of a course conclusion work focused on educational trends in the internet age. He works on research projects related to the area of transport phenomena, unit operations, effluent treatment, and separation processes. He has extensive experience in the area of adsorption in continuous and batch processes, with a focus on the removal of various pollutants emerging from aqueous solutions using biosorbents, carbonaceous materials, and biopolymers. In addition, he has experience in modeling, statistical–physical modeling, process optimization using artificial neural networks, surface chemistry, reaction mechanisms, and partial differential equations. He is currently a professor at the Universidad de la Costa (CUC), Colombia, teaching Environmental and Hydraulic Modeling for Environmental Engineering and Civil Engineering courses.
Prof. (Dr.) Dison Stracke Pfingsten Franco is a chemical engineer at the Federal University of Pampa (2014), with a Master’s (2016) and Ph.D. (2021) in Chemical Engineering from the Federal University of Santa Maria (UFSM), whose research is focused on the application of adsorbents in the removal of emerging contaminants and heavy metals and the application of statistical modeling. He has a degree for non-licensed graduates from the Instituto Federal Sul-rio-grandense (2022), with the development of a course conclusion work focused on educational trends in the internet age. He works on research projects related to the area of transport phenomena, unit operations, effluent treatment, and separation processes. He has extensive experience in the area of adsorption in continuous and batch processes, with a focus on the removal of various pollutants emerging from aqueous solutions using biosorbents, carbonaceous materials, and biopolymers. In addition, he has experience in modeling, statistical–physical modeling, process optimization using artificial neural networks, surface chemistry, reaction mechanisms, and partial differential equations. He is currently a professor at the Universidad de la Costa (CUC), Colombia, teaching Environmental and Hydraulic Modeling for Environmental Engineering and Civil Engineering courses.