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Supervisors in Information Technology, Monash University

Displaying 1 - 15 of 186 supervisors.


Professor Chris Bain

I am the inaugural Professor of Digital Health at Monash University. I'm based in the Faculty of IT but work with partners right across the University - both in Australia and in Malaysia -  and in the health industry at a local, state and federal level. 
 

Dr Tom Bartindale

If you are a designer, computer scientist, engineer, or social scientist that is looking to research real-world challenges, and you are interested in human-centred design methods or human-centred design methods, then you might be interested in working with me and the cross-disciplinary team at Action Lab to address Digital Civics challenges. 

 

Dr Susan Bedingfield

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Dr Gleb Belov

Have done lots of technical design of optimization algorithms and modeling, in particular branch-and-cut-and-price, dynamic programming, modeling in MiniZinc, MIP reformulations of high-level constraints

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Dr Christoph Bergmeir

Christoph Bergmeir is a Senior Lecturer 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, e.g. in healthcare or infrastructure maintenance. Christoph holds a PhD in Computer Science from the University of Granada, Spain, and an M.Sc.

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Dr John Betts

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Dr Marcel Boehme

Marcel's research is focussed on automated vulnerability detection, analysis, testing, debugging, and repair of large software systems, where he investigates practical topics such as efficiency, scalability, and reliability of automated techniques via theoretical and empirical analysis. His highperformance fuzzers discovered 100+ bugs in widely-used software systems, more than 50 of which are security-critical vulnerabilities registered as CVEs at the US National Vulnerability Database.

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Dr Mario Boley

I work on advancing tools for human-centred data analysis. In contrast to machine learning methods that aim for automation (e.g., self-driving cars), human-centred data analysis methods aim to empower human users. In order to be effective, such methods and their results must be simple and interpretable yet provide valid answers to critical analysis questions.

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Displaying 1 - 15 of 186 supervisors.