Dr Matthew McKague
Faculty of Science,
School of Computer Science
Biography
Matthew's career has spanned multiple disciplines, including mathematics, physics and computer science through his multi-disciplinary research in quantum computing, covering aspects of all of these disciplines. He has worked in multiple countries and universities which afforded him opportunities to teach in multiple disciplines. Additionally he has industry experience as a software engineer.Education:
- 2010 PhD (Combinatorics and Optimization) - University of Waterloo
- 2006 MMath (Combinatorics and Optimization) - University of Waterloo
- 2004 BSc Honours (Mathematics) - University of Regina
- 2004 BA (Music) - University of Regina
- 2015-2016 Lecturer, University of Otago, Department of Computer Science
- 2014 Product Development Engineer - Electronics, Fisher and Paykel
- 2014 Software Engineer, Kuracloud
- 2013-2014 Postdoctoral Fellow, University of Otago, Department of Physics
- 2010-2013 Research Fellow, National University of Singapore, Centre for Quantum Technologies
Personal details
Positions
- Senior Lecturer
Faculty of Science,
School of Computer Science
Keywords
Cryptography, Quantum Computing
Research field
Cybersecurity and privacy, Other information and computing sciences, Theory of computation
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD (University of Waterloo)
Publications
- Alupotha, J., Boyen, X. & McKague, M. (2022). Aggregable Confidential Transactions for Efficient Quantum-Safe Cryptocurrencies. IEEE Access, 10, 17722–17747. https://eprints.qut.edu.au/232673
- Lovell, D., Vella, K., Muñoz, D., McKague, M., Brereton, M. & Ellis, P. (2022). Exploring technologies to better link physical evidence and digital information for disaster victim identification. Forensic Sciences Research, 7(3), 467–483. https://eprints.qut.edu.au/227727
- Kane, L., Liu, V., McKague, M. & Walker, G. (2022). Network Architecture and Authentication Scheme for LoRa 2.4 GHz Smart Homes. IEEE Access, 10, 93212–93230. https://eprints.qut.edu.au/235004
- Boyen, X., Herath, U., McKague, M. & Stebila, D. (2021). Associative Blockchain for Decentralized PKI Transparency. Cryptography, 5(2). https://eprints.qut.edu.au/210635
- Amarasinghe, N., Boyen, X. & McKague, M. (2021). The Complex Shape of Anonymity in Cryptocurrencies: Case Studies from a Systematic Approach. Financial Cryptography and Data Security: 25th International Conference, FC 2021, Virtual Event, March 1-5, 2021, Revised Selected Papers, Part I, 205–225. https://eprints.qut.edu.au/232674
- Tesfamicael, A., Liu, V., McKague, M., Caelli, B. & Foo, E. (2020). A design for a secure energy market trading system in a national wholesale electricity market. IEEE Access, 8, 132424– 132445. https://eprints.qut.edu.au/202198
- Kane, L., Chen, J., Thomas, R., Liu, V. & McKague, M. (2020). Security and Performance in IoT: A Balancing Act. IEEE Access, 8, 121969– 121986. https://eprints.qut.edu.au/201692
- McKague, M., (2016). Interactive proofs for BQP via self-tested graph states. Theory of Computing, 12(3), 1–42. https://eprints.qut.edu.au/208887
- McKague, M., Yang, T. & Scarani, V. (2012). Robust self-testing of the singlet. Journal of Physics A: Mathematical and Theoretical, 45(45), 1–11. https://eprints.qut.edu.au/107432
- McKague, M., Mosca, M. & Gisin, N. (2009). Simulating quantum systems using real Hilbert spaces. Physical Review Letters, 102(2), 1–4. https://eprints.qut.edu.au/112310
QUT ePrints
For more publications by Matthew, explore their research in QUT ePrints (our digital repository).
Supervision
Completed supervisions (Doctorate)
- Zero-history blockchains and zero-knowledge contracts for the post quantum era (2023)
- An Architecture to Enhance Security for Trading Services in National Electricity Markets (2022)
- Systematic Modeling of Anonymity with Application to Cryptocurrencies (2022)
- Detection and Mitigation of Denial-of-Service Attacks Against Software-Defined Networking (2021)
- Next-Generation Web Public-Key Infrastructure Technologies (2019)
- Machine Learning and Feature Engineering for Computer Network Security (2017)