Rate My Professor Bernd Meyer

At Monash University, where he received a 25 Year Service Award, Meyer previously held the position of Associate Dean (Education) from 2010 to 2013 and has been Chief Investigator on multiple projects funded by the Australian Research Council, such as 'Self-organised communication as a foundation of large, complex societies' (2021-2024), 'Modelling collective behaviour to protect social insect ecosystem services' (2018-2022), and 'Division of Labour and Collective Homeostasis in Dynamic Environments' (2016-2017). With over 110 research outputs, key publications include 'Environmental sound classification on the edge: a pipeline for deep acoustic networks on extremely resource-constrained devices' (Pattern Recognition, 2023), 'Deep Active Audio Feature Learning in Resource-Constrained Environments' (IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024), 'Acoustic recognition of individuals in closed and open bird populations' (Ecological Informatics, 2025), and 'Age polyethism can emerge from social learning: A game-theoretic investigation' (PLoS Computational Biology, 2025). He teaches and serves as Chief Examiner for units including FIT1042 Algorithms, computation and intelligence, and FIT2004 Data Structures and Algorithms.