Johannes Lengler

Johannes Lengler is an Adjunct Professor in the Department of Computer Science at ETH Zurich. His research interests include stochastic processes, social networks, random graphs, optimization heuristics, evolutionary algorithms, and computational neuroscience. His work contributes to the understanding of complex systems and algorithmic methods. Prof. Lengler's profile page provides additional details about his academic and research activities.

Johannes Lengler is a researcher at ETH Zürich, focusing on theoretical computer science and algorithmic analysis. His work explores evolutionary algorithms, drift analysis, and the performance of genetic algorithms on various optimization problems. He investigates the behavior of algorithms in dynamic environments, the analysis of consensus dynamics, and the properties of complex networks. His research also includes the study of geometric inhomogeneous random graphs and the design of efficient sampling methods for such structures. Additionally, he examines the impact of population size and crossover mechanisms on algorithmic performance. His contributions span across theoretical computer science, mathematical biology, and network theory.