Lecturer at the School of Information and Communication Technology (ICT), Griffith Univerity
Address: N44 3.10, 170 Kessels Rd, Nathan, 4111, Australia
Email: z dot hou at griffith dot edu dot au
Tel: +61 7 3735 9270
Zhe Hou (common: "Zee Ho", correct-ish: "Hojer") was born in Xi'an, one of the most historical cities in the world and a cultural centre of China since 1000 BC. Zhe obtained his PhD from the Australian National University, Canberra, and was a student of Rajeev Gore and Alwen Tiu. Lured by the fantastic food and a job, he moved to Nanyang Technological University, Singapore, in 2015. Planned to settle down in Melbourne, but after a call from Jin Song Dong, he joined Griffith University in 2017 and became a lecturer there in late 2019.
Automated reasoning: separation logic, theorem proving, model checking.
Formal methods: program verification, weak memory model, information-flow security.
Autonomous systems: planning, goal reasoning.
Machine learning: prediction, large scale data analytics, model explanation and verification.
Blockchain: interoperability, cross-chain asset transfer protocol.
PhD of Computer Science, the Australian National University, 2015.
Master of Computing, the Australian National University, 2011.
Bachelor of Software Engineering, Xidian University, 2010.
Lecturer (continuing position) at the School of ICT, Griffith University, since 2019.
Research Fellow at IIIS, Griffith University, 2017 - 2019.
Postdoc Research Fellow at Nanyang Technological University, 2016 - 2017.
Research Assistant at Nanyang Technological University, 2015 - 2016.
Lecturer (sessional) at the Australian National University, 2014.
Tutor (sessional) at the Australian National University, 2012 - 2014.
Associate Fellow of the UK Higher Education Academy, since 2020. Associate of the Australian Computer Society (ACS), since 2020. ICECCS (CORE Rank A conference) Organiser Leadership Award, 2019. PDCAT Organiser Leadership Award, 2019. ICFEM (CORE Rank B conference) Chair Leadership Award, 2018. John Makepeace Bennett Award Australian Best PhD Thesis Runner-up, 2016. ACS certified working experience as a software engineer, 2014. ANU CECS Dean's Travel Grant Award, 2013. ANU Ph.D. Scholarship and Tuition Fee Exemption Sponsorship, 2011. First Class Academic Award in Xidian University, 2010. First Class Academic Award in Software Engineering Department, Xidian University, 2009.
Zhe has a garage project in which he and his friends integrate the state-of-the-art automated reasoning techniques into an efficient machine learning tool called Silas in order to achieve explainable and verifiable machine learning. The result is a Silas extension that is able to extract the core decision-making of machine learning models and formally verify that the machine learning models are correct with respect to certain user-specified criteria.
Zhe is also a sketch artist, and he takes custom orders for a price of AU$ 500K and above. See some samples here.