Associate Professor Huadong Mo
Associate Professor
91É«ÇéƬ Canberra
School of Systems & Computing
Dr Huadong Mo is an Associate Professor at the School of Systems and Computing, University of New South Wales, Australia. He is also theÌýInaugural Director of Resilient Intelligent Systems for Clean Energy Research (RISER) Hub.
He received a B.E. degree in automation from the University of Science and Technology of China, China, in 2012 and a Ph.D. degree in systems engineering and engineering management from the City University of Hong Kong, Hong Kong, in 2016. He was a research associate at the Reliability and Risk Engineering Lab, Institute of Energy Technology, ETH Zurich, Switzerland, from 2016 to 2019 and aÌýLecturer at the School of Engineering and Information Technology from 2019 to 2021, and then a Senior Lecturer at the School of Systems and Computing from 2021 to 2025 at the University of New South Wales.ÌýHis research aims to enhance the resilience, performance, and security of complex systems using learning-based algorithms, primarily in the emerging fields of renewable energy, cyber-physical, and manufacturing systems, leveraging data sensing and analysis to reveal patterns of system evolution under uncertainty.ÌýHe has established a distinctive research program that bridges fundamental AI research with large-scale translation in battery and clean-energy systems, attracting substantial industry and government co-investment and delivering technologies from methodological innovation through to real-world demonstration.
***Scholarships of $39,206 (AUD) are available for Ph.D. students who achieved High Distinction (H1) in their undergraduate program and/or have completed a Master’s degree by Research.***
***A new research proposal is needed based on our further discussions***
Several types of scholarships are available ); however, admission and scholarship applications are highly competitive.ÌýUndergraduate Students (Top 15%) or Master StudentsÌý (Top 20%)Ìýin Automation, Statistics, Mathematics, Electrical and Electronics, or Computer Science are highly preferred, but students in other subjects with similar competence are also welcome. You need to meet the English language requirementsÌý(refer to 91É«ÇéƬ Canberra: TOEFL (IBT) 90 overall (min. 23 in writing, 22 in reading, listening, and speaking) and IELTS (Academic) 6.5 overall (min. 6.0 in each subset)). In addition, during your Ph.D. study, possible Ph.D. exchange with other top universities is encouraged, e.g. ETH Zurich, Cambridge, UCB, MIT, Université Paris Saclay, CityU of HK, NTNU, Tsinghua University, and NUS, and attending international conferences is also sponsored.
If you are eligible and interested in working with me on the following (or closely related) topics or keywords, please send me your CV, academic transcripts, the result of the self-assessment, and a research proposal consisting of Research Motivation, Research Problems, Research Objectives, a Brief Review of the most relevant Literature, Proposed Methodology (discussing your proposed approach to answer the RP&ROs including the type of data you need and how you will get them, techniques, etc.) and Expected Outcome (including a timetable over 3.5 years).
For more information, please refer to the following links on and to apply for a research degree. If you want toÌýlearn more about my research, please visit myÌýÌý²¹²Ô»åÌý.
Research Topics:
- Advanced sensing and data analysis for energy system prognostics and health management
- Sustainable transportation and energy systems
- Robust operation of power and energy systems under extreme events
- (Quantum-inspired) Reinforcement learning-based lifelong asset management
Others:
- IEEE Senior Member
- Postgraduate Course Coordinator of Systems Engineering, School of Systems and Computing, 91É«ÇéƬ Canberra
- Chair of IEEE SMC ACT Chapter
- Associate Editor or Committee Member for Over 10 SCI Journals and International Conferences, includingÌýInternational Journal of Machine Learning and Cybernetics,ÌýScientific Reports,ÌýQuality and Reliability Engineering International etc
- Certificate of FULT Program 2019
- ‘Online health monitoring of battery via trustworthy artificial intelligence’ at the International Workshop on Big Data and AI-Driven Fault Diagnosis for Industrial Applications, Xi’an, China. (keynote)
- Wolfgang Kroger, Huadong Mo. Handing complex critical infrastructure towards increased resilience. The 11th International Conference on Reliability, Maintainability and Safety, 2016, Hangzhou, China. (keynote)
- Reviewer for over 30 international journals
Phone
+61 2 5114 5183
E-mail
Location
Room 118, Building 15, School of Systems and Computing
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
*CI: Chief InvestigatorÌý
- 2026-2027,ÌýLead-CIÌýin the project (spinout) 'Trustworthy, Energy-Aware Computing Load Balancing for a Distributed Residential GPU Network', Stage 1: TRaCE Lab to Market fund, Australia, 2,600,000 AUD, confirmed; Stage 2: Energy Innovation Fund,Ìý5,000,000 AUD, confirmed; Stage 3:ÌýLightWave Capital, 40,000,000 AUD;ÌýStage 4:ÌýARENA, EOI accepted.
- 2026-2027,ÌýSecond-CIÌýin the project 'Scalable Statistical Integrated Technologies for the Second-Life Utilization of Lithium-Ion Batteries', TRaCE Lab to Market fund, Australia, 1,300,000 AUD
- 2026-2027, Second-CIÌýin the project 'Secure Federated Battery Management System for Distributed Energy Storage Assets', TRaCE Lab to Market fund, Australia, 1,300,000 AUD
- 2027-2029, Second-CIÌýin the project 'Intelligent and Reliable Monitoring and Prediction of Battery Health State', ARC Linkage Project (LP250200747),Ìý904,674 AUD
- 2026, CIÌýin the project 'AI-Enabled Smart Energy Hub for Virtual Power Plant (VPP) Deployment in Residential and Commercial Solar Networks', TRaCE Lab to Market fund, Australia, 1,300,000 AUD
- 2026, Lead-CIÌýin the project 'AI-Enabled Resilient Energy Hub: Transforming a Bowral Hotel into a Net-Zero, Community-Sharing Virtual Power Plant',ÌýTRaCE Lab to Market fund, Australia,Ìý4,062,500 AUD
- 2025-2026, Lead-CIÌýin the project 'Revolutionary AI-Enabled Modular Power Portal System for Urban Clean Energy Distribution',ÌýTRaCE Lab to Market fund, Australia,Ìý4,191,250 AUD
- 2025-2026, CIÌýin the project 'Health status estimation and resilient closed-loop supply chain for retired electric vehicle batteries',ÌýAEA Ignite round 1, Australia,Ìý334,052 AUD
- 2025-2027, Lead-CIÌýin the project 'Online health monitoring and anomaly detection in li-ion batteries via trustworthy AI', Energy Innovation Fund, ACT Government, Australia,Ìý1,223,891 AUD
- 2025-2027, CIÌýin the project 'Building Australia's electric vehicle fast charging infrastructure', ARC Linkage Project (LP210200473), Australia,Ìý759, 510 AUD
- 2025-2026, CI (Manager)Ìýin the project 'Delivering net-zero energy buildings: A next-generation hybrid energy system with demand-side management’, TRaCE Lab to Market fund, Australia, 2,493,712 AUD
- 2025-2027, CIÌýin the project 'Strengthening health resilience and sustainable marine biodiversity in Indonesia by developing innovative nanoliposome product from seagrapes for diabetes treatment',ÌýBRIN KONEKSI Joint Call Grants 2024, Australia-Indonesia,Ìý458,650 AUD
- 2024, CIÌýin the project 'State of the art high-speed camera for integrated research cluster on advanced resilience and sustainable energy infrastructure',ÌýResearch Infrastructure Scheme, 91É«ÇéƬ, 298,184 AUD
- 2024, Lead-CIÌýin the project 'Robust PV-ESS-EV operation strategy for net-zero emission via stochastic dynamic programs', GRIP, Australia, 15,000 AUD
- 2024, CIÌýin the project 'Explainable time series analysis and optimal decision-making in renewable energy integration', GRIP, Australia, 20,000 AUD
- 2024-2027, Lead-CIÌýin the project 'Building resilience to cyber-physical power systems under climate-related disasters', ARC Research Hub for Resilient and Intelligent Infrastructure Systems, Australia, 450,000ÌýAUD
- 2024-2025, Lead-CIÌýin the project 'Understanding Energy: Building an AI platform to help buildings thrive in a rapidly evolving energy sector',ÌýÌýARC Research Hub for Integrated Energy Storage Solutions, Australia, 250,000ÌýAUD
- 2023, CIÌýin the project 'A novel deep learning-based algorithm for online classification, identification, and prediction of cascading cyber-physical failure in smart grids', GRIP, Australia, 19,142 AUD
- 2023,ÌýCIÌýin the project 'Building resilience to power and energy systems under cyber-related disasters', GRIP, Australia, 19,173 AUD
- 2023,ÌýLead-CIÌýin the project 'Building resilience to cyber-physical energy systems under climate-related disasters', GRIP, Australia, 19,955 AUD
- 2023,ÌýLead-CIÌýin the project 'Electric vehicle & photovoltaic hosting capacity using machine learning', GRIP, Australia, 19,115 AUD
- 2023,ÌýCIÌýin the project 'Enhancing solar panel reliability: Data-driven maintenance, smart strategies, and user acceptance', GRIP, Australia, 20,000 AUD
- 2023, Visiting Research Fellowship (Pre-award of Jean d'Alembert Pour Fellowship), France, 122,263 AUD (1 of 5 awardees)
- 2022,ÌýCIÌýin the project 'Ultrasonic non-destructive evaluation system' (RG214402), funded by 2022 Research Infrastructure Scheme, 91É«ÇéƬ, 100,000 AUD
- 2021,Ìý³§´Ç±ô±ð-°ä±õÌýin the project 'Mitigating threats' impacts on infrastructure by reinforcement learning-based decisions', funded by Defence Science and Technology Group, Australia, 20,000 AUD
- 2020-2022,ÌýCIÌýin the project ‘Intelligent Maintenance of Transmission Grid Assets’ funded by the Swiss Federal Office of Energy, directed by A/Prof Giovanni Sansavini (299,594 CHF, over 28 months for CI Mo)
- 2019-2020,ÌýSole-CIÌýin the project ‘Risk, reliability and optimization of energy systems’ funded by Special Research Grants of 91É«ÇéƬ, 49,485 AUD
- 2017-2020,ÌýCIÌýin the project ‘Risk assessment in bulk energy grids’ funded by Swiss Competence Centers in Energy Research (SCCER) FURIES, directed by A/Prof Giovanni Sansavini (243,800 CHF, for CI Mo over 48 months)
- 2014-2017,ÌýCIÌýin the project ‘The vulnerabilities of future interdependent energy network’ funded by Swiss National Science Foundation, directed by A/Prof Giovanni Sansavini, 660,000 CHF
- 2013-2017,ÌýCIÌýin the project ‘Advanced reliability and maintenance modeling of highly reliable systems’ funded by the Asia Pacific Research Committee, directed by Prof Min Xie, 400,000 HKD
- 2015-2018,ÌýCIÌýin the project ‘Reliability analysis and maintenance of multi-state repairable systems’ funded by the University Grants Committee, Hong Kong, directed by Prof Min Xie, 695,854 HKD
- 2015-2018,ÌýCIÌýin the project ‘Development of a framework for reliability modelling/simulation of human-machine systems’ funded by Beijing Kenway Technologies Co., Ltd., directed by Prof Min Xie, 300,000 HKD
- 2016-2022,ÌýCIÌýin the project ‘Safety, reliability, and disruption management of high-speed rail and metro systems’ funded by the University Grants Committee, Hong Kong, directed by Prof Min Xie, 40,000,000 HKD
- 2013-2016,ÌýCIÌýin the project ‘Development of bi-level Weibull model for two-level failure data’ funded by Boeing, directed by Prof Min Xie, 46,800 HKD
- 2024 IEEE SMC Early Career Award (fourth awardeeÌýsince 2014)
- 2023 Visiting Research Fellowship (Pre-award of Jean d'Alembert Pour Fellowship), France
- Gold Medal in the 2024 China International College Student Innovation Competition - top 50 of 12,063 projects (as supervisor)
- Arc PGC Supervisor Award, 2021
- IEEE SMC Outstanding Chapter Award, 2021 (Chair: Fangbao Tian, co-Chair: Huadong Mo and Daoyi Dong)
- Alumni Achievement 2019, City University of Hong Kong
- Excellent Paper Award at the 20th IEEE International Conference on E-Business Engineering (ICEBE) 2024, Shanghai, China
- Best Oral Presentation AwardÌýat The 6th International Conference on System Reliability and Safety Engineering 2024, Hangzhou, China
- Best Presentation Award, 2022 IEEE 5th Student Conference on Electrical Machines and Systems, Korea
- Best Paper Award, 2021 Internation Conference on Electrical Machines and Systems, Korea
- Outstanding Paper Award, 2017 IEEE International Conference on Industrial Engineering and Engineering Management, Singapore
- Outstanding Reviewer of 2 SCI Q1 JournalsÌý
- Outstanding Academic Performance Award for Research Degree Students 2013-15 at City University of Hong Kong, Hong Kong (107,240 HKD)
- Outstanding Graduates of the University of Science and Technology of China, 2012
- 2016.04~2019.01: Research Associate at Institute of Energy Technology, Department of Mechanical and Process Engineering, Swiss Federal Institute of Technology in Zurich (ETHZ), Zurich, Switzerland
- 2016~2018 Attend the plenary discussion of the project ‘Integration of Sustainable Multi-energy-hub Systems at Neighbourhood Scale’ funded by the Swiss National Science Foundation, directed by Prof. Marco Mazzotti, 1,300,000 CHF
- 2015.09~2015.11 Visiting Research Student at Centrale Supelec, France
- 2015.08~2015.09 Visiting Research Student at Tsinghua University, China
- 2012.07~2012.08 Visiting Research Student at the University of Science and Technology Beijing, China
- https://www.education.gov.au/newsroom/articles/transforming-energy-management-drive-netzero-buildings
- /newsroom/news/2026/09/unsw-technology-to-turn-regional-hotel-into-a-community-power-plant?utm_source=linkedin&utm_medium=social
- /newsroom/news/2026/06/unsw-technology-to-help-bring-solar-and-battery-storage-to-apartments
- /news/2026/08/ask-an-expert-how-do-we-build-an-energy-system-that-can-handle-uncertainty
- https://www.manmonthly.com.au/unsw-solar-project-targets-community-energy/
- https://app.dealroom.co/news/feed/sungrow-and-unsw-launch-ai-enabled-community-energy-project-in-nsw-southern-highlands
- https://www.australianmanufacturing.com.au/unsw-technology-turns-regional-hotel-into-community-power-plant/
- https://www.bastillepost.com/global/article/6136014-sungrow-and-unsw-launch-ai-enabled-community-energy-project-in-nsw-southern-highlands
- https://www.afr.com/property/commercial/big-tech-race-for-data-centres-drives-up-land-prices-20250731-p5mj6c
- https://www.ess-news.com/2026/06/29/unsw-voltval-pilot-ai-enabled-shared-battery-storage-for-apartments/
- https://www.theurbandeveloper.com/articles/unsw-ai-solar-pilot-apartments-alternative-energy
- https://www.pv-magazine.com/2026/06/26/pilot-study-targets-solar-and-battery-access-for-apartments/
- https://reneweconomy.com.au/australian-researchers-test-new-tech-to-help-smash-the-solar-ceiling-bring-pv-to-apartments/
- https://www.pv-magazine-australia.com/2026/02/11/unsw-living-lab-energy-managment-system-now-operational/
- https://cleantechnica.com/2026/06/28/exploring-how-to-get-more-solar-batteries-at-apartment-buildings/
- https://www.pv-magazine-australia.com/2025/05/27/unsw-targets-energy-efficiency-with-real-world-trial-of-management-system/
- https://electricalconnection.com.au/unsw-canberra-partners-on-ai-powered-solar-and-battery-pilot-for-apartments/
- https://www.dubbo.nsw.gov.au/news-and-media/news-and-resources/council-news/2026/energy-efficiency-targeted-through-trial-with-university
- https://www.miragenews.com/unsw-tech-powers-solar-battery-boost-for-1699576/
- https://www.theaseandeveloper.com/news/2026/06/26/unsw-technology-help-bring-solar-and-battery-storage-apartments/1782425692
- https://esdnews.com.au/ai-brings-solar-and-battery-storage-to-apartments/
- https://www.sungrowpower.com/au/en/sungrow-partners-with-unsw-and-dubbo-regional-council-on-energy-management-and-vpp-research
- https://www.solardirectory.com.au/solar-directory-blog/3494-smarter-energy-greener-buildings
- https://greenreview.com.au/construction/new-ai-platform-expands-solar-access-in-apartments/
- https://www.technology.org/2026/06/30/technology-helps-to-bring-solar-and-battery-storage-to-apartments/
- https://www.thecooldown.com/green-tech/sydney-ai-solar-power-apartments-costs/
- https://www.aea.gov.au/news/next-generation-energy-management-system-drive-net-zero-buildings
My Research Supervision
Research Associate:
- Dr Cheng Ding, AI for Image Processing
- Dr Hailan Ma, Quantum for Energy
- Mr Zhenhong Sun, Generative AI for CV
- Dr Alaa Emad Selim, AI for Battery
- DrÌýChunxiang Song, Quantum for Battery
Ìý
Research Assistant:
- Dr Farhad Habibi
- Dr Bodrunnessa Badhon
- Mr Samir Debnath
- Mr Reda Ghanem
- Dr Moslem Uddin, Energy System Resilience
- Mr Hassan Abdelbary
- Ms Yutong Zhao
- Dr Tran Nguyen
- Dr Linkon Chowdhury
- Dr Md Sarwar Kamal
- Dr Md Rasel Sarkar
Ìý
Current HDR Students:
- Mr Yue Zhang: eVTOL Battery SOH Estimation
- Mr Ziqi Ding: Cybersecurity for Energy System
- Mrs Rong Zhu: AI-enabled Battery Recycling (CityU)
- Mr Hanwen Zhang: Embodied AI for Battery Recycling
- Mr Hao Shi: Active Battery Management System
- Mr Chen Liang: Agentic AI for Battery Management SystemÌý(National Industry PhD Program)Ìý
- Mr Junjie Chen: LLM+Agentic AI for battery health monitoringÌý(Master by Research)
- Ms Qin Wang: Battery anomaly detectionÌý(Master by Research - SCU)
- Mr Shengqi You: Battery State of PowerÌý(Master by Research)
- Mr Fangrui Zhang: Economic analysis of retired EV batteriesÌý(Master by Research)
- Mrs Wen Zhao: Anomaly detection for second-life batteriesÌý(Master by Research)
- Mrs Kai Kang: Supply chain of retired EV batteriesÌý(Master by Research)
- Mr Yuxin Xian:ÌýData-driven remaining life prediction and intelligent operation and maintenance of renewable energy storage systems
- Mr Qi Chu:ÌýExplainable battery state of health (SOH) estimation and decision-focused charging optimization for virtual power plants
- Mr Ruoyu Wu:ÌýPhysically faithful object manipulation via object next-state prediction in world models
- Mrs Yuehao Wu:ÌýSimulation-driven understanding and evaluation of Embodied AI capability
- Mrs Beier Wang:ÌýHuman social animation in 3D scenes for Embodied AI
- Mr Runpu Wang: Explainable battery state of health monitoringÌý(Master by Research)
- MrÌýUmair JalilÌýMalik:ÌýAdvancing sustainable material design with AI/ML Ìý Ìý
- Mr Fusen Guo: Battery health monitoring and anomaly detection (National Industry PhD Program)Ìý
- Mrs Sabrina Bruckmeier (ETH): Data manipulation in smart grids
- Mr Chunyang Zhang: Realize a fine motion control for the human body
- Mr Zhicheng Zhang: Define a unique portrait with fine facial and emotional
- Mr Yuhao Jing: Real-time power management in renewable smart microgrids
- Mr Zhongju Wang: Time-series data forecasting
- Mr Zhanzhongyu Gao: Anomaly detection in renewable assets
- Mrs Weilin Liu:ÌýDamage identification of reinforced concrete structures
Past HDR Students:
- Mrs Qiqi Wang: Explainable health assessment of batteries (CityU)
- Mrs Di Zhu (ANU): Generative AI for material design
- Mr Md Masud Rana:ÌýPeak load shaving using battery energy storage
- Mrs Wensi Jiang: Natural language processing in social networks (Master by Research)
- Dr Ahmad Ahmad:ÌýMachine learning-based energy production and consumption estimation
- Dr Moslem Uddin: Storage-based energy management approach for isolated microgrids
- Dr Alaa Emad Selim:ÌýPower management of an optimized hybrid off-grid energy system using an artificial intelligence tool
- Dr Chunxiang Song: Quantum controller optimization based on machine learning
- Dr Ciyu Qin, now a Postdoc at ETH Zurich, Integrating uncertainty and risk in power system optimization
- Mrs Dyuti Paul, now at Seeing Machine, Ensemble learning to predict the energy consumption of battery electric vehicles
- Dr Mubeenah Titilola Sanni, now at Mechatronics Engineering atÌýACT Government, Voltage profile control of active distribution networks
- Mr Marthaler Konrad, ETH Zurich
Ìý
My Teaching
- ZEIT3506 Systems Engineering and Management
- ZEIT4224 Electrical Power and MachinesÌý
- ZEIT4231 Smart Grids and Renewable EnergyÌý
- ZEIT8021 Information Assurance and Security
- ZEIT8031 Reliability Engineering FundamentalsÌý
- ZEIT8037 Cyber Security Risk Management
- ZEIT8039 Reliability Engineering AssuranceÌý
- ZEIT8115 Information OperationsÌý
- ZEIT8152 Reliability Program ManagementÌý
- ZEIT8226 Systems Engineering Practice
- ZEIT8230 Requirements PracticeÌý
- ZEIT8236 Systems Safety EngineeringÌý