I am a lecturer in the School of Computing and Information Technology at University of Wollongong (UOW). Before joining UOW, I was a senior research fellow at National University of Singapore (NUS). I received a PhD degree in computer science from the University of Technology Sydney (UTS) in 2013.
I work on software engineering (SE) and artificial intelligence (AI). In SE, my research focuses on probabilistic verification, self-adaptive software systems, and event-streaming software systems. In AI, I am interested in autonomous agents, reneforcement learning, and data mining.
At UOW I supervise and co-supervise a number of PhD and research masters students. If you think that you can work with me at a topic in the above areas, please feel free to contact me.
- Call for submission: MDPI AI Special Issue
- Publicity co-chair of 2023 7th International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT 2023), Kunming, China from February 24-26, 2023
- Multi-Objective Task Assignment and Multiagent Planning with Hybrid GPU-CPU Acceleration, NASA Formal Methods (NFM), 2023
- Quantitative verification for monitoring event-streaming systems, IEEE Transactions in Software Engineering (TSE), 2022
- Multiagent Task Allocation and Planning with Multi-Objective Requirements, AAMAS 2021
- Wavelet packet analysis for speaker-independent emotion recognition, Neurocomputing, 2021
- Verifying the long-run behavior of probabilistic system models in the presence of uncertainty, ESEC/FSE'18
- Probabilistic model checking of perturbed MDPs with applications to cloud computing, ESEC/FSE'17
- ProEva: runtime proactive performance evaluation based on continuous-time Markov chains, ICSE 2017
- Towards complex activity recognition using a Bayesian network-based probabilistic generative framework, Pattern Recognition (2017)
- Framework of mining semantic-based probabilistic event relations for complex activity recognition, Information Science (2017)
- Asymptotic perturbation bounds for probabilistic model checking with empirically determined probability parameters, IEEE Transactions on Software Engineering (TSE), 2016