I currently hold the position of Associate Professor at École de technologie supérieure (ÉTS) and the Associate Professor (status-only) role at the University of Toronto. My career is characterized by a harmonious blend of academic and industrial knowledge and expertise.
Before embarking on my academic journey, I served as a Senior Specialist in Research and Development at Aurubis Germany (August 2019 – April 2021), making contributions towards the optimization of metallurgical and recycling processes. During my tenure as a Principal Researcher at Tata Steel Europe in the Netherlands (September 2017 – July 2019), I played a pivotal role in enhancing process efficiency and emissions mitigation. My dedication to the field is further exemplified through my voluntary role with the Metallurgy and Materials Society of CIM. In this capacity, I actively contribute as the Chair and a member of the Executive Committee, with a particular focus on the Pyrometallurgy Section of Canada since December 2019.
I served as a Postdoctoral Fellow at the Norwegian University of Science and Technology (NTNU), Norway (January 2017 – August 2017). I actively engaged in cutting-edge research in metal recycling and process emission reduction. Earlier, I held a Postdoctoral Fellow position at the Department of Mining and Materials Engineering at McGill University (January 2016 – December 2016), developing process simulation models. My academic journey includes the successful completion of a Ph.D. at McGill University (September 2011 – January 2015), where I dedicated my efforts to developing a comprehensive thermodynamic database for oxysulfide systems. During my time as a FactSage Collaborator (September 2015 – January 2020), I had the privilege of making substantial contributions to the field of thermodynamics.
Currently, my research efforts encompass a diverse array of areas, including the modeling of complex chemical systems from a thermodynamic perspective, hands-on experimentation involving equilibration-quenching, the development of structural physical models, materials characterization, and the development of deep learning models aimed at enhancing our understanding of process and materials behaviors.
Valorization of electric steelmaking slag to minimize its environmental impact, Dephosphorization of scrap-based electric arc furnace
Read MoreImprovement of the performance of MgO-C refractory in electric arc furnace steelmaking
Read MoreStudy of the thermodynamics of lead and zinc slag to enhance the recovery of indium and germanium
Read MoreStudy the thermodynamics of antimony-containing calcium silicate slags to enhance the recovery of antimony
Read MoreDevelopment of a deep learning model for scrap-based electric arc furnace steelmaking to improve phosphorous removal
Read MoreDevelopment of a Modified Polyhedron Model to estimate the thermodynamic properties of oxides
Read MoreDEVELOPMENT OF AN INTELLIGENT DATABASE FOR WASTE FROM THE MINING AND METALLURGICAL INDUSTRY
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