Aneta Neumann Email & Phone Number

Experienced computer scientist, data analyst and researcher with a demonstrated history of working in energy, mining, cybersecurity, defence, public health, consulting and higher education industries.11 Papers accepted at the Genetic and Evolutionary Computation Conference (GECCO 2024) and6 papers accepted at PPSN, the top-tier international conferences in the field of artificial intelligence evolutionary computation.I was invited as a Keynote Speaker at the Evolutionary Multi-Criterion Optimization , EMO Conference 2023, March 20-24, Leiden, The Nederlands. [https://emo2023.liacs.leidenuniv.nl/]Title: Mine Planning under Uncertainty: From Theory to PracticeI was invited to speak on a Industry Panel at EMO 2023.Aneta graduated from the University of Kiel, Germany in Computer Science and is currently working at the University of Adelaide, Optimisation and Logistics Group.Co-Chair of the "Genetic Algorithms" at GECCO 2023 and GECCO 2024.Co-Chair of the "Real-World Applications" at GECCO 2021 and GECCO 2022.You can find out about her research and publications at:https://researchers.adelaide.edu.au/profil/aneta.neumannNews: 6 papers accepted at GECCO 2023 (CORE A), 4 papers accepted at PPSN 2022(CORE A), 5 papers accepted at GECCO 2022, AAAI 2023, AAAI 2022 (CORE A*), 6 papers accepted at GECCO 2021, Best Paper Nomination at GECCO 2021, AAAI 2020, PPSN 2020, GECCO 2020, ECAI 2020 (CORE A), FOGA 2021, 2019 (CORE A*), STEM WORKSHOPS in German with GOETHE INSTITUT, papers accepted at AAAI 2019 and GECCO 2019 (CORE A), the 2018 Hans-Juergen and Marianna Ohff Research Grant, the 2018 ACM-W scholarship winner.Current industry projects: (1) Advanced ore mine optimisation under uncertainty, the SA Mining Consortium, the winner of 2022 SA Premier’s Awards in the Innovation category.(2) Artificial Intelligence - Innovative approaches for increasing the productivity of South Australia’s copper and gold production.(3) Developing an Energy Network Optimization Model for Hydrogen Networks(4) Blending Strategy Optimization using chance constraint optimization. Current project:*Machine Learning for Cyber Defence. Paper accepted at AAAI 2023, GECCO 2022, AAAI 2022.*Evolutionary Diversity Optimisation. Best paper nomination GECCO 2021, 2022. Tutorial at IEEE CEC 2021, GECCO 2022.*Best paper nomination GECCO 2019, AI-based Computational Creativity. Tutorial on Evolutionary Computation for Digital Art at GECCO 2020 [https://www.researchgate.net/publication/334385885_Evolutionary_computation_for_digital_art].

Listed skills include Artificial Intelligence, Evolutionary Art, Optimization, Evolutionary Algorithms, and 14 others.

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  Artificial Intelligence Researcher

  University Of Adelaide

  Adelaide, Sa, Au