Yuan Sun

Associate Investigators

Yuan Sun is a Research Fellow at the School of Computing and Information Systems, the University of Melbourne, working towards Smarter & Faster Pharma with industrial partners including CSL Limited. Yuan has worked primarily in artificial intelligence and optimisation, and his recent research focuses on developing machine learning techniques to enhance traditional optimisation techniques such as column generation, Lagrangian relaxation and (meta)heuristics. Yuan works with OPTIMA CI Uwe Aickelin.

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Dr Ellie Hajizadeh

Associate Investigators

Dr Ellie Hajizadeh is a Lecturer and head of Soft Matter Informatics Research Group at the Department of Mechanical Engineering, University of Melbourne. Her research lies at the confluent of several research disciplines, including computational materials science, multiscale simulations (from atomistic to mesoscopic to continuum), machine learning and optimisation with the aim of obtaining an integrated multidisciplinary framework for accelerated materials discovery and design. Prior to her current role, Ellie was a Senior Research Scientist at the Australian Deference Science and Technology Group (DSTG) and a Postdoctoral Research Fellow at the University of Michigan. At DSTG, Ellie established several national and international programs, including a $1.8 million Next Generation Technologies Fund (NGTF) research program in the field of Multiscale Simulation of Soft Matter, where she built teams including Defence Industry and Australian Universities as well as a technological collaborative project with allied nations. In her Postdoctoral Research Fellow at the University of Michigan, Ellie co-invented and recently delivered an accelerated multiscale materials simulation technology to Dow Chemical company in US, which is an integral part of their sustainable paint portfolio and provides them with a competitive advantage in their global market. Ellie is current Secretary of the Australian Society of Rheology.

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Associate Professor Aldeida Aleti

Associate Investigators

Aldeida Aleti is an Associate Professor and Associate Dean of Engagement and Impact at the Faculty of Information Technology, Monash University. Aldeida works in the area of Search-Based Software Engineering (SBSE), with a particular focus on the methodological aspects of how to assess the effectiveness of these techniques. This includes fitness landscape characterisation to analyse how hard optimisation problems are for search techniques, and algorithm selection, which is about identifying which optimisation technique works in what scenario. Aldeida has served as PC member and organising committee at both SE and optimisation conferences, such as ASE 20, 21, ICSE 19, GECCO 17, 22, SSBSE 2018,19, FSE 22, ICSA 22. Aldeida has attracted more than $2.500,000 in competitive research funding and was awarded a Discovery Early Career Researcher (DECRA) Award from the Australian Research Council.

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Dr Chaitanya Manapragada

Associate Investigators

Chaitanya Manapragada is a postdoctoral Research Fellow at the University of Melbourne. He works in applied Machine Learning with the Digital Bioprocessing Hub, a collaboration between The University of Melbourne, CSL, and other industry and government partners. His primary focus is on optimising industrial manufacturing processes with the aid of effective predictors (surrogate objective functions) built using machine learning methods.
He received his PhD in Algorithmic Machine Learning from the Department of Data Science and Artificial Intelligence, Monash University, in 2021, for a thesis titled “Learning Under Concept Drift”. Work from the thesis centred on learning from data streams and was published at KDD and DMKD. Before the PhD, he earned a B.Engg (1st Hons) in Software Engineering and a Graduate Certificate in Cross-disciplinary Art and Design from UNSW. He spent several years as an engineer, first at NICTA (CSIRO Data61) and then at Blackmagic Design. Chaitanya works with OPTIMA CI Uwe Aickelin.

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Professor Frank Neumann

Associate Investigators

Frank Neumann is a professor and the leader of the Optimisation and Logistics group at the University of Adelaide and an Honorary Professorial Fellow at the University of Melbourne. His current position is funded by the Australian Research Council through a Future Fellowship and focuses on AI-based optimisation methods for problems with stochastic constraints. Frank has been the general chair of the ACM GECCO 2016 and co-organised ACM FOGA 2013 in Adelaide. He is an Associate Editor of the journals “Evolutionary Computation” (MIT Press) and ACM Transactions on Evolutionary Learning and Optimization. In his work, he considers algorithmic approaches in particular for combinatorial and multi-objective optimization problems and focuses on theoretical aspects of evolutionary computation as well as high impact applications in the areas of cybersecurity, renewable energy, logistics, and mining.

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Dr Christoph Bergmeir

Associate Investigators

Christoph is a Senior Research Fellow in Data Science and Artificial Intelligence, and a 2019 ARC DECRA Fellow in the Department of Data Science and Artificial Intelligence at Monash University. His fellowship is on the development of “efficient and effective analytics for real-world time series forecasting”. He works as a Data Scientist in a variety of projects with external partners in diverse sectors, such as sustainable energy and supply chain. He has led teams that have delivered systems for short-term power production forecasting of wind and solar farms, and energy price forecasting. Christoph holds a PhD in Computer Science from the University of Granada, Spain, and an M.Sc. degree in Computer Science from the University of Ulm, Germany. He has over 3,600 citations and an h-index of 23. He has received more than $2.7 million in external research funding. Four of his publications on time series forecasting over the last years have been Clarivate Web of Science Highly Cited Papers (top 1% of their research field).

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Assoc. Professor Marcus Gallagher

Associate Investigators

Marcus is an Associate Professor in the School of Information Technology and Electrical Engineering at The University of Queensland. His research interests and expertise are in optimisation, evolutionary computation and machine learning, including cross-disciplinary collaborations and real-world applications. He is particularly interested in understanding the relationship between algorithm performance and problem instance structure to quantify notions of problem difficulty in black-box optimisation. Marcus is also interested in algorithm benchmarking, experimental reproducibility and data-driven optimisation problems.

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Professor Tim Fletcher

Associate Investigators

Tim Fletcher is a Professor of Urban Ecohydrology at the University of Melbourne.  He is internationally regarded for his expertise in waterway and stormwater management. His research focus includes urban hydrology, stormwater quality and the design and performance of stormwater treatment and harvesting systems.  Tim co-leads the Melbourne Waterway Research Practice Partnership at the University of Melbourne.  He is an author of the industry-standard Model for Urban Stormwater Improvement Conceptualisation (MUSIC) and in 2011 received a prestigious Australian Research Council Future Fellowship.  Tim is a former Invited Professor at INSA Lyon (2008-9) and is co-chair of the Novatech conference, one of the leading international conferences on integrated urban water management.

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