Professor Rob J Hyndman

Chief Investigator

Rob is the Head of the Department of Econometrics and Business Statistics. From 2005-18 he was Editor-in-Chief of the International Journal of Forecasting and a Director of the International Institute of Forecasters. Rob is the author of over 200 research papers and five books in statistical science. He is an elected Fellow of both the Australian Academy of Science and the Academy of Social Sciences in Australia. In 2007, he received the Moran medal from the Australian Academy of Science for his contributions to statistical research, especially in statistical forecasting. For over 30 years, Rob has maintained an active consulting practice, assisting hundreds of companies and organisations worldwide. He has won awards for his research, teaching, consulting and graduate supervision.

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Professor Uwe Aickelin

Chief Investigator

Uwe is the head of the School of Computing and Information Systems, where he focuses on Artificial Intelligence, Optimisation and Data Mining for medicine. His specific expertise is in the modelling stages of biomedical problems, focusing on robust methods to overcome uncertainty. Typical application areas of his work are Decision Support and Optimisation in Health Informatics. He has authored over 200 papers in leading international journals and conferences (Google citations 12500, H-index 56) and participated in over 100 international conference programme committees. Since 2007 he has been an associate editor of the leading international journal in his field (IEEE Transactions on Evolutionary Computation).

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Professor Peter Taylor

Chief Investigator

Peter received his PhD in Applied Mathematics from the University of Adelaide in 1987. In 2002 he commenced at the University of Melbourne, shortly after becoming the inaugural Professor of Operations Research. He was Head of the Department of Mathematics and Statistics 2005-10. Peter is the Editor-in-Chief of the Applied Probability Trust Journals Journal of Applied Probability and Advances in Applied Probability and was the Editor-in-Chief of Stochastic Models 2002-18. He is also a member of the editorial board of Queueing Systems.

Peter has held several high-ranking positions, including in 2016, he became Director of the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS). In 2017, he was awarded the Ren Potts Medal by the Australian Society for Operations Research, in 2018 the George Szekeres Medal by the Australian Mathematical Society and in 2019 the ANZIAM Medal.

Peter’s research interests lie in stochastic modelling and applied probability, with particular emphasis on applications in telecommunications, biological modelling, healthcare, economics and disaster management.

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Professor Michael Kirley

Chief Investigator

Michael is a Professor in the School of Computing and Information Systems. He is the Co-Director of the Melbourne Centre for Data Science. Michael has made significant contributions to the design of data-driven algorithms for optimisation and decision-making, specifically (a) in the analysis and design of evolutionary algorithms; including exploratory landscape analysis with applications in large-scale, open and dynamic environments, (b) parallel multi-objective optimisation algorithms, explicitly looking at alternative deployment framework, and (c) developing new mechanisms and algorithms, inspired by reinforcement learning and evolutionary game theory, to explore decision-making in complex social-ecological systems.

Michael is the joint lead in the research theme INTEGRATE

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Professor Maria Garcia de la Banda

Chief Investigator

Maria has over 25 years of experience as an academic. She is the Deputy Dean Research of the Faculty and Co-Chair of the Monash-Woodside FutureLab. She was the Head of the Caulfield School of Information Technology and then the Faculty’s Deputy Dean (2013-16). Her research interests include Combinatorial Optimisation, Program analysis and Transformation, Programming Languages and Bioinformatics. Since 2010 she has been Area Editor of the Journal of Theory and Practice of Logic Programming and, since 2019, member of the Editorial Board of the Constraints journal. She has been Chief Investigator in 10 ARC grants (2 cross-Faculty), Principal Investigator in an NHMRC program.

Maria’s PhD won the Universidad Politecnica de Madrid’s Best PhD Award. In 1997 she was awarded the first and only prestigious Logan Fellowship in the Faculty of Information Technology, which she held for six years. In 2005 she won, with Peter Stuckey, the International Constraint Modelling Challenge. She was an elected member of the Executive Committee of the Association of Logic Programming (2005-08) and of the Executive Committee of the Association of Constraint Programming (2017-20), of which she was also elected as President (2019-20).

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Professor Mark Fackrell

Chief Investigator

Mark is a senior lecturer in the School of Mathematics and Statistics at The University of Melbourne. His research interests include stochastic modelling, queueing theory, matrix-analytic methods, stochastic optimisation, game theory, operations research, machine learning, and healthcare modelling. He also has research links with a number of industries including Red Cross Lifeblood, DST, and Northern Health.

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Professor Howard Bondell

Chief Investigator

Howard has been in the School of Mathematics and Statistics at the University of Melbourne since 2018. He is a current ARC Future Fellow (2020-2024) and Co-Director of the Melbourne Centre for Data Science. He received his Ph.D. in Statistics from Rutgers University in 2005 and immediately commenced his academic career in the Department of Statistics at North Carolina State University. He was elected Fellow of the American Statistical Association in 2017. His current research interests include model selection, robust estimation, regularisation, Bayesian methods, and all aspects of modelling and handling uncertainty in statistical and machine learning approaches.

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Assoc. Professor Hamideh Anjomshoa

Chief Investigator

Hamideh is a senior applied research scientist and technical leader with more than ten years of experience. Currently, she holds a position as an Enterprise Research Fellow at the School of Mathematics and Statistics at the University of Melbourne and Chief Investigator of the new Industrial Training and Transformation Centre, called OPTIMA. She was also the Science and Technical Leader of several industrial research projects in IBM Research Australia for more than nine years and has experience in the design and implementation of large-scale optimisation and data science solutions across different industries including, mining and healthcare.

She completed her Bachelor, Master and PhD in Mathematics. Her research interests broadly concern mathematical modelling, mixed integer programming, operation research, business analytics and optimisation, data analytics, machine learning, artificial intelligence, health analytics and resource allocation/scheduling. She has received several corporate awards and has also published several papers and patents.

Hamideh is a deputy theme leader in the research theme UPTAKE

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Professor Adrian Pearce

Chief Investigator

Adrian researches automated planning and scheduling, and he has contributed to research on reasoning about actions within artificial intelligence. His research has improved the efficiency and robustness of a range of applications, including production scheduling, trusted autonomous systems for cognitive robotics, supply chain management, logistics and air traffic management. Adrian has made fundamental breakthroughs with his colleagues, which facilitate collaborative constraint and resource optimisation for autonomous systems and over complex supply chain networks. This involves satisfying constraints, such as resource or processing capacities, while meeting temporally extended goals, such as maintenance constraints.

Adrian is the theme leader in the research theme UPTAKE

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Professor Andreas Ernst

Chief Investigator

Andreas has worked in real-world applications of optimisation for over 25 years, including in supply chains, logistics, mining, services (rostering) and energy.  Recent work includes rail planning and scheduling for Pacific National through a Linkage grant and methods using machine learning to improve the performance of optimisation algorithms as part of a ARC Discovery Project with RMIT. Andreas is a Senior Fellow with the Australia Indonesia Centre leading the research on Transport and Logistics in the PAIR program. His research is focused on methods for solving large-scale integer programming problems, including decomposition methods and matheuristics that combine mathematical programming approaches with metaheuristic search.

Andreas is the joint lead in the research theme ADVANCE

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