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Bernhard Mehlig is a Professor at the University of Gothenburg, specializing in the fields of Fluid Mechanics and Statistical Physics. His research encompasses topics such as the dynamics of heavy particles in turbulent flows, the effects of turbulence on droplet behaviors, and the mathematical modeling of microscale phenomena, including the use of machine learning techniques to understand complex fluid systems. Over the years, he has contributed significantly to the understanding of particle interactions in turbulent environments and has published extensively on related topics, such as chiral sedimentation, non-Gaussian models for turbulent aerosols, and innovative uses of artificial intelligence in predicting fluid behaviors. His work is recognized internationally, with numerous publications in top-tier journals and contributions to major conferences in the field of physics and engineering. Mehlig is dedicated to advancing the theoretical and practical applications of fluid dynamics, and he actively engages in teaching and mentoring students to foster the next generation of researchers.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).