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Gürkan Sin is an Assistant Professor at the Technical University of Denmark (DTU), specializing in process innovation and design within the chemical processing industries. He has a rich interdisciplinary background that integrates material and energy balances, reaction kinetics, reactor design, and process safety analysis. His expertise encompasses applied mathematics, statistics, and the development of tools for process synthesis and simulation. Sin has specifically focused on collaborative projects that address the United Nations Sustainable Development Goals, contributing to innovations in wastewater treatment, biorefineries, and biotechnology. His academic qualifications include a PhD from Ghent University and MSc and BSc degrees from the Middle East Technical University. Sin is actively involved in advanced projects that utilize machine learning and AI for optimization and risk monitoring, enhancing the credibility of quantitative risk assessments in chemical processes.
Technical University of Denmark • Lyngby, Denmark
Conducted research and teaching in process design and innovation, focusing on applications in the chemical and biotechnology industries.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.