Resilient AI
Learning-based models for diagnosis, prediction, recovery, and robust decision-making in complex environments.
UNSW Canberra
Huadong Mo
School
Systems and Computing, UNSW Canberra
Labs
RISER Hub /
Engineering-AI Lab
Focus
Resilience, AI, energy, and complex engineered systems
Huadong Mo is an Associate Professor at UNSW Canberra and the Inaugural Director of the RISER Hub Physics Lab. His research builds intelligent methods for systems that must keep working under uncertainty, extreme events, and changing operational conditions.
His work connects machine learning, reliability engineering, cyber-physical systems, clean energy, and lifelong asset management. Through Engineering-AI Lab, it also extends toward AI engineering, 3D world models, and intelligent agents with a practical eye toward deployable engineering intelligence.
120+
publications and books
RISER
Physics Lab director
IEEE
senior member
E-AI
Engineering-AI Lab leadership
Research Signature
Intelligence for systems that cannot afford to fail
Clean Energy Systems
Intelligent operation and resilience analysis for renewable energy, power grids, storage, and electrified transport.
Reliability and Risk
Reliability assessment, vulnerability analysis, defense allocation, and resilience planning for critical systems.
Cyber-Physical Systems
Data sensing, modelling, and engineering analytics for infrastructure where computation and physical process meet.
Selected Highlights
Career and community signals
- Now Associate Professor at UNSW Canberra's School of Systems and Computing.
- Physics Leads the RISER Hub Physics Lab for resilient intelligent systems and engineering research.
- IEEE Senior Member of IEEE and Chair of the IEEE SMC Society ACT Chapter.
- UNSW Postgraduate Course Coordinator of Systems Engineering at UNSW Canberra.
Representative Publication
Recent and influential work
-
Cyber-Physical Distributed Systems Modeling, Reliability Analysis and Applications BookWiley, 2021.
-
Microgrids: A review, outstanding issues and future trends Highly citedEnergy Strategy Reviews, 2023.
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Cybersecurity challenges in renewable-dominated power grids 2026Cell Reports Physical Science, 2026.
Contact
UNSW Canberra, School of Systems and Computing
For collaboration, supervision, and research opportunities, use the UNSW profile or email contact.