Kelvin Liu

Outreach Sub-Committee

Kelvin is supervised by OPTIMA CI Professor Kate Smith-Miles.

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Associate Professor Aldeida Aleti

Outreach Sub-Committee

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 Vera Somers

Outreach Sub-Committee

Dr Vera Somers is an OPTIMA Postdoctoral Research Fellow in the School of Mathematics and Statistics at the University of Melbourne. Her research interests include control, simulation and optimization of complex networks and spreading processes, in particular bushfires and epidemics. Prior to joining OPTIMA, she was a PhD candidate at the Australian Centre for Field Robotics at the University of Sydney.

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Dr Jip J. Dekker

Outreach Sub-Committee

Jip is an OPTIMA research fellow based at Monash University’s Faculty of Information Technology, in the Department of Data Science and Artificial Intelligence. His research focuses on programming languages and tools to model and solve combinatorial optimisation problems. In particular, his research has involved the improved implementation and optimisation of the MiniZinc constraint modelling language and the creation of advanced interfaces to different types of solving technologies. Jip works with OPTIMA CIs Professor Peter Stuckey and Assoc. Professor Guido Tack.

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Dr Jessica Leung

Outreach Sub-Committee

Jessica is a lecturer in Business Analytics at the Department of Econometrics and Business Statistics at Monash University. Her research interests are convex and combinatorial optimization and machine learning algorithms in graph theory, FinTech and InsurTech applications. Jessica is also the Lead Editor of ORMS Tomorrow, a student membership magazine for the Institute for Operations Research and the Management Sciences (INFORMS). 

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Dr Sevvandi Kandanaarachchi

Outreach Sub-Committee

Sevvandi is an interdisciplinary researcher working in data science and analytics at RMIT University.  She uses mathematics, statistics, and machine learning for her research. Her main research interest is anomaly and event detection. Examples of anomalies include credit card fraud, intrusions in computer networks, malfunctioning sensors, stock market crashes and astronomical anomalies such as solar flares. It is important to identify these anomalies quickly because it enables us to act upon them. 

Sevvandi has experience working on real-world applications. From 2016 to 2019, she worked with an industry partner on intrusion detection as part of an ARC Linkage project. She also worked with QUT researchers and the QLD Government on a water quality project as part of an ACEMS (ARC Centre for Excellence for Mathematical and Statistical Frontiers) research collaboration, which was featured by the ARC.  She has also worked on DELWP’s Vegetation Detection Challenge, which addressed aspects of bushfire mitigation. 

On the data frontier, Sevvandi has experience working with complex and high-volume data. She has worked with sensor data from satellites, water quality sensors and pedestrian count sensors.  Generally, sensors provide a non-stop data stream. Streaming data provides many challenges including high dimensionality, non-stationarity and partial information. Efficient algorithms are needed for processing such data to gain meaningful insights.

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Dr Matthew Burns

Outreach Sub-Committee

Dr Matthew Burns is a hydrologist working on the links between urban stormwater and stream degradation. His interests are in a range of environmental fields, specifically in catchment hydrology, the modelling and performance of stormwater source-control measures, and ecohydrology. Matthew is working with OPTIMA industry partner Melbourne Water supervising OPTIMA student Shiraz (Yi) Zhen with Prof. Tim Fletcher and OPTIMA CI Kate Smith-Miles.

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Hossein Alipour

Outreach Sub-Committee

Hossein’ project is on the Maximum Flow Problem: Features, Algorithms, and Implementations”. This includes providing a comprehensive set of instances and new features of the problem to obtain insights into the strengths and  weaknesses of its algorithms using Instance Space Analysis. These insights are then used to improve the current algorithms or introduce a better new one. Optimisation, machine learning, data analysis, programming (in MATLAB, C, and C++), algorithm design, and implementations of algorithms are the main parts of our project. He is supervised by OPTIMA CI Professor Kate Smith-Miles.

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Hanan Alsouly

Outreach Sub-Committee

Hanan’s project is titled “Dynamic Constrained Multi-Objective Optimization Using Evolutionary Algorithms”. Many real-world optimization problems have multiple objectives, constraints, and are dynamic by nature. In this research, we aim to develop an understanding of what makes evolutionary algorithms perform differently when solving dynamic constrained multi-objective optimization problems, and design landscape-aware algorithms. Hanan is supervised by by OPTIMA CI Professor Michael Kirley.

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Dr Simon Bowly

Outreach Sub-Committee

Simon’s works with OPTIMA CI Prof. Andreas Ernst. His main research interests lie in optimisation algorithms: their real-world applications and how they perform on a wide range of problems with different structures. In algorithm performance analysis, he focuses on linear and mixed-integer programming methods. These techniques apply to many optimisation problems in transport, power generation and distribution, and network design (to name a few). His work focuses on generating test cases that effectively stress-test optimisation algorithms and determine their relative strengths and weaknesses, enabling algorithm selection and automated configuration methodologies to improve algorithm performance.

The focus of his applied work is on analysing passenger and freight movement in South Sulawesi, Indonesia. The aim is to understand the potential role of rail transport in the region by applying mixed-integer programming and decomposition methods to solve logistics problems

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