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Steffen Gralert Sveegaard is an Associate Professor at Aarhus University, specifically in the Department of Biological and Chemical Engineering, with a focus on Chemical Process Engineering. His interest lies in the application of statistical tools and machine learning to solve practical chemical problems, particularly in the context of sustainable chemistry and the green transition. He explores the use of automation and autonomous reaction optimization analysis, emphasizing the proper validation of mathematical models. His expertise includes organic chemistry, polymer chemistry, chemometrics, programming, data analysis, and experimental design. Sveegaard actively engages in teaching, employing a problem-based learning approach to help students tackle complex real-world challenges. He teaches various engineering and organic chemistry courses and supervises BEng graduation projects, in addition to serving as an external examiner for BSc and MSc theses. His research interests encompass organic chemistry, chemometrics, machine learning, green chemistry, and automated synthesis and analysis.
Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.