![Liming Zhu](https://2022.techdebtconf.org/getProfileImage/limingzhu/cb5801a8-5bed-4347-ba70-f93e9bf4c29f/small.jpg?1711458911000)
Registered user since Fri 10 May 2019
I lead the Software and Computational Systems Research Program at Data61, CSIRO. The research program is innovating in the following research areas: big data analytics infrastructure, computational and simulation sciences platforms (including verticals such as satellite/aerial and telescope image processing, VR/AR, high performance visual analytics), secure data platforms, trustworthy systems, distributed systems, business process management, legal informatics/computational law/RegTech, provenance, blockchain/DLT, software ecosystems, software engineering/architecture, DevOps, privacy and cybersecurity.
Data61 is part of The Commonwealth Scientific and Industrial Research Organisation (CSIRO) and Australia’s data/ICT innovation hub. Data61 was formed bringing together CSIRO’s Digital Productivity team and National ICT Australia (NICTA).
I am also a conjoint full professor at School of Computer Science and Engineering, University of New South Wales. I chair Standards Australia’s blockchain and distributed ledger committee.I teach software architecture courses and supervise PhD students at UNSW. I have supervised more than a dozen PhDs as the primary supervisor and co-supervised many more. My personal research interests include:
- software architecture in enterprise systems and embedded systems
- dependable and secure distributed systems
- DevOps, SecDevOps and continuous deployment
- (big) data analytics infrastructure, data analytics pipelines and data provenance
- blockchain-driven systems
- software engineering for machine-learning based systems
- software ecosystems, multi-sided platforms and Ultra-Large-Scale systems
- service/cloud engineering and RESTful services
- Model Driven Development(MDD)
- business process management
- system and software development processes and methodologies
- empirical methods in software engineering
Contributions
2022
ICSE
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