Algorithms

Our Algorithms Research Group aims to designing algorithms and data structures that are both practically useful and theoretically sound.

Our work spans a wide range of areas in computer science, including (but not limited to) theoretical computer science, databases and data management, information retrieval, text indexationand compression, big data analytics, and artificial intelligence.

We explore these challenges across various fundamental computational models, such as external memory model, streaming model, and massive parallel communication model, and more.

Students

Image for Luxin Fang

Luxin Fang

Estimation of distribution power network topology from smart meter measurements

luxinf@student.unimelb.edu.au
Image for Samuel Thomas

Samuel Thomas

Designing efficient algorithms for big data

samuel.thomas1@student.unimelb.edu.au
Image for Zhuo Zhang

Zhuo Zhang

Efficient algorithms for solving problems on massive data

zhuo.zhang@student.unimelb.edu.au
Image for Sahan Hemachandra

Sahan Hemachandra

Energy-efficient routing for connected autonomous vehicles

akulathungaa@student.unimelb.edu.au
Image for Kwun Ming (Peter) Pang

Kwun Ming Pang

Approximate similarity search on high dimensional data

kwunming.pang@student.unimelb.edu.au
Image for Fengnian Lin

Fengnian Lin

Efficient algorithms for solving problems on massive data

fengnian.lin@student.unimelb.edu.au
Image for Zhenzhi Lai

Zhenzhi Lai

Security of post-quantum algorithms for IoT

zhenzhil@student.unimelb.edu.au
Image for Yixiang Wang

Yixiang Wang

The online set cover with delay problem and related problems

yixiang.wang4@student.unimelb.edu.au
Image for Marjan Azimi

Marjan Azimi

Hierarchical topics-specific expert identification

azimim@student.unimelb.edu.au

Selected research grants and contracts

  • DP230102908 -  Fast effective clustering technologies for highly dynamic massive networks (2023-2027).  $435,000.00
  • DP200103136 - Efficient Compression and Querying Techniques for Massive Text Collections (2020-2025). $360,000.00
  • DP190102078 - Approximate structures for efficient processing of data streams. (2019-2024). $395,000.00
  • DE190101118 -  High performance density-based clustering in parallel environments (2019-2023).  $339,000.00

Selected research projects

(CNRS - IEA ALFRED) Algorithms for Restricted Data Models

With the University of Sydney

Efficient Compression and Querying Techniques for Massive Text Collections

Fast Effective Clustering Technologies for Highly Dynamic Massive Networks

We work with businesses to:

  1. Develop clear and simple solutions to create meaning out of your problems
  2. Provide advice on how to approach and resolve more complex problems
  3. Embed solutions into daily operations

Interested in how we could help you?

We'd love to chat about how our research could transform your business. We believe collaborating with industry drives both partners forward.

Real world change, based in cutting edge research.

Speak to a Business Development Manager