Research output per year
Research output per year
Personal profile
Research interests
- Probabilistic verification of autonomous systems.
- Bayesian inference with partial and limited prior knowledge.
- Exploring the limits of what can be claimed rigorously for system reliability.
- Modelling of software design diversity for fault tolerance.
Biography
Xingyu Zhao received his BEng in Software Engineering and MSc in Control Science and Engineering from Beihang University, Beijing. He joined the Centre for Software Reliability (CSR), City, University of London as a PhD student and obtained a doctorate degree in Computer Science. In May 2018, he joined the Smart System Group at Heriot-Watt University and has been doing research on developing practical self-certification methods for robotics and autonomous systems. Since Jan. 2019, he is also a Programme Fellow of the Assuring Autonomy International Programme at University of York.
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Research output
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A Safety Framework for Critical Systems Utilising Deep Neural Networks
Zhao, X., Banks, A., Sharp, J., Robu, V., Flynn, D., Fisher, M. & Huang, X., 2020, Computer Safety, Reliability, and Security. SAFECOMP 2020. Casimiro, A., Ferreira, P., Ortmeier, F. & Bitsch, F. (eds.). Springer, p. 244-259 16 p. (Lecture Notes in Computer Science; vol. 12234).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile1 Citation (Scopus)17 Downloads (Pure) -
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles
Zhao, X., Salako, K., Strigini, L., Robu, V. & Flynn, D., Dec 2020, In: Information and Software Technology. 128, 106393.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)17 Downloads (Pure) -
Interval change-point detection for runtime probabilistic model checking
Zhao, X., Calinescu, R., Gerasimou, S., Robu, V. & Flynn, D., 31 Jul 2020, (Accepted/In press) 35th IEEE/ACM International Conference on Automated Software Engineering.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile17 Downloads (Pure) -
On Reliability Assessment When a Software-based System Is Replaced by a Thought-to-be-Better One
Littlewood, B., Salako, K., Strigini, L. & Zhao, X., May 2020, In: Reliability Engineering and System Safety. 197, 106752.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)1 Downloads (Pure) -
The Application of Machine Learning and Low Frequency Sonar for Subsea Power Cable Integrity Evaluation
Tang, W., Flynn, D., Brown, K. E., Robu, V. & Zhao, X., 20 Jan 2020, OCEANS 2019 MTS/IEEE SEATTLE. IEEE, 8962840Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus)
Prizes
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Best Paper Award Finalist, The 30th International Symposium on Software Reliability Engineering (ISSRE 2019)
Zhao, Xingyu (Recipient), Robu, Valentin (Recipient), Flynn, David (Recipient), Kizito Salako (Recipient) & Lorenzo Strigini (Recipient), 28 Oct 2019
Prize: Prize (including medals and awards)