Aneta Neumann

Aneta Neumann is a researcher in the School of Computer Science and Information Technology, in the College of Engineering and Information Technology, at Adelaide University. Aneta is an Associate Investigator at the ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA) at the University of Melbourne, and was previously part of the Integrated Mining Consortium at the University of Adelaide. Aneta graduated in Computer Science from the Christian-Albrechts-University of Kiel, Germany, and received her PhD from the University of Adelaide, Australia.

Aneta received an ACM-W scholarship, sponsored by Google, Microsoft, and Oracle, a Hans-Juergen and Marianna Ohff Research Grant, and 4 Best Paper Nominations and the Best Paper Award at the Genetic and Evolutionary Computation Conference (GECCO), a leading conference on genetic and evolutionary computation.

Aneta co-organised the Workshop on AI-based Optimisation in 2025, served as publicity co-chair for EMO 2025, and was co-chair of the Real-World Applications and Genetic Algorithms tracks at GECCO 2021-24. Her main research interests are bio-inspired computation methods and evolutionary diversity optimisation with a particular focus on dynamic and stochastic multi-objective optimisation for real-world problems that occur in the public health, mining, renewable energy industry, defence, and cybersecurity. Her work also contributes to understanding the fundamental link between bio-inspired computation, machine learning, and computational creativity. She investigates evolutionary image transition and animation in the area of Artificial Intelligence and examines how to develop designs and applications of artificial intelligent methods based on complex agent-based models.