Dr Huadong Mo | UNSW Research

Keywords

Fields of Research (FoR)

Industrial Engineering, Renewable Power and Energy Systems Engineering (excl. Solar Cells), Control Engineering, Optimisation

Biography

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

My Grants

*CI: Chief Investigator

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
2024-2027 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', RTP, Australia, 19,142 AUD
2023 Involved (CI) in the project 'Building resilience to power and energy systems under cyber-related disasters', RTP, 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

My Awards

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

My Research Activities

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

Currently supervising

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 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 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 Md Masud Rana: Peak load shaving using battery energy storage
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