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Dr Huadong Mo
Senior Lecturer
UNSW Canberra
School of Systems & Computing
Dr. Huadong Mo is a Senior Lecturer at the School of Systems and Computing, University of New South Wales, Australia. 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 201...
Phone
+61 2 5114 5183
E-mail
huadong.mo@unsw.edu.au
Location
Room 118, Building 15, School of Systems and Computing
- Publications
- Grants
- Awards
- Research Activities
- Teaching and Supervision
*CI: Chief Investigator
- Involved (CI) in the project 'Building Australia's electric vehicle fast charging infrastructure', ARC Linkage Project (LP210200473), Australia, 731,767 AUD
- 2025-2026 Involved (Lead-CI) in the project 'Delivering net-zero energy buildings: A next-generation hybrid energy system with demand-side management’, TRaCE Lab to Market fund, Australia, 1,057,105 AUD
- 2024 Involved (CI) in the project 'State of the art high-speed camera for integrated research cluster on advanced resilience and sustainable energy infrastructure', Research Infrastructure Scheme, UNSW, 298,184 AUD
- 2024 Involved (Lead-CI) in the project 'Robust PV-ESS-EV operation strategy for net-zero emission via stochastic dynamic programs', GRIP, Australia, 15,000 AUD
- 2024 Involved (CI) in the project 'Explainable time series analysis and optimal decision-making in renewable energy integration', GRIP, Australia, 20,000 AUD
- 2024-2027 Involved (Lead-CI) in the project 'Building resilience to cyber-physical power systems under climate-related disasters', ARC Research Hub for Resilient and Intelligent Infrastructure Systems, Australia, 450,000 AUD
- 2024-2025 Involved (Lead-CI) in the project 'Understanding Energy: Building an AI platform to help buildings thrive in a rapidly evolving energy sector', ARC Research Hub for Integrated Energy Storage Solutions, Australia, 250,000 AUD
- 2023 Involved (CI) in 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 Involved (CI) in the project 'Building resilience to power and energy systems under cyber-related disasters', GRIP, Australia, 19,173 AUD
- 2023 Involved (Lead-CI) in the project 'Building resilience to cyber-physical energy systems under climate-related disasters', GRIP, Australia, 19,955 AUD
- 2023 Involved (Lead-CI) in the project 'Electric vehicle & photovoltaic hosting capacity using machine learning', GRIP, Australia, 19,115 AUD
- 2023 Involved (CI) in 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 Involved (CI) in the project 'Ultrasonic non-destructive evaluation system' (RG214402), funded by 2022 Research Infrastructure Scheme, UNSW, 100,000 AUD
- 2022.05-2024.05 Involved (CI) in the project on investigating COVID-19 containment methods via machine learning algorithms (RG220870), funded by Joint Hebrew University-Australian Research Projects in Science, Zelman Cowen Academic Initiatives, 300,000 AUD
- 2021 Involved (Sole-CI) in 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 Involved (CI) in 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 Involved (Sole-CI) in the project ‘Risk, reliability and optimization of energy systems’ funded by Special Research Grants of UNSW, 49,485 AUD
- 2017~2020 Involved (CI) in 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 Involved (CI) in 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 Involved (CI) in 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 Involved (CI) in 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 Involved (CI) in 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 Involved (CI) in 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 Involved (CI) in 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 awardee since 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 Award at 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 Journals
- 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
My Research Supervision
Research Associate:
- Dr Yibo Zhang, AI for Bio
- Dr Cheng Ding, AI for Image Processing
- Dr Hailan Ma, Quantum for Energy
- Mr Zhenhong Sun, Generative AI for CV
Current HDR Students:
- Mr Runpu Wang: Explainable Battery State of Health Monitoring
- Mr Umair Jalil Malik: Advancing Sustainable Material Design with AI/ML
- Mr Fusen Guo: Battery health monitoring and anomaly detection (National Industry PhD Program)
- 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
- Mrs Wensi Jiang: Natural language processing in social networks
- Mr Zihang Qiu: Large language model-based power system forecasting
- Mr Zhongju Wang: Time-series data forecasting
- Mr Zhanzhongyu Gao: Anomaly detection
- Mrs Weilin Liu: Damage identification of reinforced concrete structures
- Mrs Di Zhu (ANU): AI for material
- Mr Md Masud Rana: Peak load shaving using battery energy storage
- Mr Ahmad Ahmad: Machine learning-based energy production and consumption estimation
- Mr Alaa Emad Selim: Power management of an optimized hybrid off-grid energy system using artificial intelligence tool
- Mr Chunxiang Song: Quantum controller optimization based on machine learning
- Mr Moslem Uddin: Storage-based energy management approach for isolated microgrids
Past HDR Students:
- Dr Ciyu Qin, now a Postdoc at ETH Zurich, Integrating uncertainty and risk in power system optimization
- Mrs Dyuti Paul, now Seeing Machine, Ensemble learning to predict the energy consumption of battery electric vehicles
- Dr Mubeenah Titilola Sanni, now Mechatronics Engineering at ACT Government, Voltage profile control of active distribution networks
- Mr Marthaler Konrad, ETH
My Teaching
- ZEIT3506 Systems Engineering and Management
- ZEIT4224 Electrical Power and Machines
- ZEIT4231 Smart Grids and Renewable Energy
- ZEIT8021 Information Assurance and Security
- ZEIT8031 Reliability Engineering Fundamentals
- ZEIT8037 Cyber Security Risk Management
- ZEIT8039 Reliability Engineering Assurance
- ZEIT8115 Information Operations
- ZEIT8152 Reliability Program Management
- ZEIT8226 Systems Engineering Practice
- ZEIT8230 Requirements Practice
- ZEIT8236 Systems Safety Engineering