Algorithms

About Us

Our algorithm research group aims to design algorithms and data structures that are either practical in real-world applications, or theoretically sound achieving state-of-the-art bounds, or both for solving problems in various areas in computer science, including but not limited to theoretical computer science, database and data management, information retrieval, text indexation and compression, big data analysis and artificial intelligence, and under various fundamental computational models, e.g., external memory model, streaming model, massive parallel communication model, and more.

Staff

Given Name Family NamePositionProfileEmail
Lachlan Andrew Lecturer Profilelachlan.andrew@unimelb.edu.au
Giuseppe Barca Associate Professor ProfileGiuseppe.Barca@unimelb.edu.au
Farhana Choudhury Lecturer Profilefarhana.choudhury@unimelb.edu.au
Junhao Gan Senior Lecturer Profilejunhao.gan@unimelb.edu.au
Alistair  Moffat Professor Profileammoffat@unimelb.edu.au
Lida Rashidi Postdoctoral Fellow and Lecturer Profilerashidil@unimelb.edu.au
Christine Rizkallah Senior Lecturer Profilechristine.rizkallah@unimelb.edu.au
Egemen Tanin Professor Profileetanin@unimelb.edu.au
William Umboh Lecturer in Computational Theory Profilewilliam.umboh@unimelb.edu.au
Tony Wirth Professor Profileawirth@unimelb.edu.au
Cameron Zachreson Research Fellow Profilecameron.zachreson@unimelb.edu.au
Justin Zobel Redmond Barry Distinguished Professor and Pro Vice-Chancellor (Graduate & International Research) Profilejzobel@unimelb.edu.au

Graduate Researchers

Given name Family nameProfile Thesis Title
Phil Cervenjak Profile Approximation algorithms for submodular optimisation
LuxinFangProfileAlgorithms for identifying electricity distribution network topologies from smart meter data
Zifeng (Peaker)GaoProfileEfficient structures for recency and string-searching queries in data streams
Sam Thomas Profile Designing Efficient Algorithms for Big Data
Zhuo Zhang Profile Efficient algorithms for solving problems on massive data
Zhuowei Zhao Profile Learning-based algorithms with non-trivial theoretical guarantees for solving problems on massive data

Projects

ARC Discovery Early Career Researcher Award (Junhao Gan): High performance density-based clustering in parallel environments.

ARC Discovery Project (Alistair Moffat): Efficient Compression and Querying Techniques for Massive Text Collections.

ARC Discovery Project (Justin Zobel and Tony Wirth): Approximate structures for efficient processing of data streams

ARC Discovery Project (Tony Wirth and Junhao Gan): Fast effective clustering technologies for highly dynamic massive networks

CNRS - IEA ALFRED (William Umboh): Algorithms for Restricted Data Models