Dr Huadong Mo
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 2016 to 2019 and a Lecturer at the School of Engineering and Information Technology, University of New South Wales at Canberra, Australia, from 2019 to 2021. His research aims to enhance the resilience, performance, and security of complex systems with learning-based algorithms, which primarily lay in the emerging field of power and energy systems, cyber-physical systems, and manufacturing systems, leveraging the capacity to collect and analyze data to reveal patterns of system evolution against uncertainties.
***Scholarships of $38,438 (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 (International Postgraduate Research Scholarships & China Scholarship Council (CSC) Sponsored Studies); however, admission and scholarship applications are highly competitive. Undergraduate Students (Top 15%) or Master Students (Top 20%) in Automation, Statistics, Mathematics, Electrical Electronics, or Computer Science are highly preferred, but students in other subjects with similar competence are also welcome. A self-assessment tool is available to get a general feel for your competitiveness. You need to meet the English language requirements (refer to UNSW 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 how and when to apply for a research degree. If you want to know more about my research, please refer to my Google Scholar and ResearchGate.
Research Topics:
- Advanced sensing and data analysis for 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, UNSW Canberra
- Chair of IEEE SMC ACT Chapter
- Associate Editor or Committee Member for Over 10 SCI Journals and International Conferences
- 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
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
*CI: Chief Investigator
- Involved (CI) in the project 'Health status estimation and resilient closed-loop supply chain for retired electric vehicle batteries', AEA Ignite round 1, Australia, 334,052 AUD
- Involved (Lead-CI) in the project 'Online health monitoring and anomaly detection in li-ion batteries via trustworthy AI', Energy Innovation Fund, ACT Government, Australia, 1,223,891 AUD
- Involved (CI) in the project 'Building Australia's electric vehicle fast charging infrastructure', ARC Linkage Project (LP210200473), Australia, 759, 510 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, 1,097,108 AUD
- 2025-2027 Involved (CI) in the project 'Strengthening health resilience and sustainable marine biodiversity in Indonesia by developing innovative nanoliposome product from seagrapes for diabetes treatment', BRIN KONEKSI Joint Call Grants 2024, Australia-Indonesia, 458,650 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
- 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 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 Shaokang Guan: Reinforcement learning for power system control
- Mrs Qiqi Wang: Explainable health assessment of batteries
- 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 Zhongju Wang: Time-series data forecasting
- Mr Zhanzhongyu Gao: Anomaly detection in renewable assets
- Mrs Weilin Liu: Damage identification of reinforced concrete structures
- Mrs Di Zhu (ANU): Generative AI for material design
- 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 an 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 at Seeing Machine, Ensemble learning to predict the energy consumption of battery electric vehicles
- Dr Mubeenah Titilola Sanni, now at 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