Dr Huadong Mo

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

*CI: Chief Investigator 

  1. Involved (CI) in the project 'Building Australia's electric vehicle fast charging infrastructure', ARC Linkage Project (LP210200473), Australia, 731,767 AUD
  2. 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
  3. 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
  4. 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
  5. 2024 Involved (CI) in the project 'Explainable time series analysis and optimal decision-making in renewable energy integration', GRIP, Australia, 20,000 AUD
  6. 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
  7. 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
  8. 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
  9. 2023 Involved (CI) in the project 'Building resilience to power and energy systems under cyber-related disasters', GRIP, Australia, 19,173 AUD
  10. 2023 Involved (Lead-CI) in the project 'Building resilience to cyber-physical energy systems under climate-related disasters', GRIP, Australia, 19,955 AUD
  11. 2023 Involved (Lead-CI) in the project 'Electric vehicle & photovoltaic hosting capacity using machine learning', GRIP, Australia, 19,115 AUD
  12. 2023 Involved (CI) in the project 'Enhancing solar panel reliability: Data-driven maintenance, smart strategies, and user acceptance', GRIP, Australia, 20,000 AUD
  13. 2023 Visiting Research Fellowship (Pre-award of Jean d'Alembert Pour Fellowship), France, 122,263 AUD (1 of 5 awardees)
  14. 2022 Involved (CI) in the project 'Ultrasonic non-destructive evaluation system' (RG214402), funded by 2022 Research Infrastructure Scheme, UNSW, 100,000 AUD
  15. 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
  16. 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
  17. 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)
  18. 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
  19. 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)
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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

  1. 2024 IEEE SMC Early Career Award (fourth awardee since 2014)
  2. 2023 Visiting Research Fellowship (Pre-award of Jean d'Alembert Pour Fellowship), France
  3. Gold Medal in the 2024 China International College Student Innovation Competition - top 50 of 12,063 projects (as supervisor)
  4. Arc PGC Supervisor Award, 2021
  5. IEEE SMC Outstanding Chapter Award, 2021 (Chair: Fangbao Tian, co-Chair: Huadong Mo and Daoyi Dong)
  6. Alumni Achievement 2019, City University of Hong Kong
  7. Excellent Paper Award at the 20th IEEE International Conference on E-Business Engineering (ICEBE) 2024, Shanghai, China
  8. Best Oral Presentation Award at The 6th International Conference on System Reliability and Safety Engineering 2024, Hangzhou, China
  9. Best Presentation Award, 2022 IEEE 5th Student Conference on Electrical Machines and Systems, Korea
  10. Best Paper Award, 2021 Internation Conference on Electrical Machines and Systems, Korea
  11. Outstanding Paper Award, 2017 IEEE International Conference on Industrial Engineering and Engineering Management, Singapore
  12. Outstanding Reviewer of 2 SCI Q1 Journals 
  13. Outstanding Academic Performance Award for Research Degree Students 2013-15 at City University of Hong Kong, Hong Kong (107,240 HKD)
  14. Outstanding Graduates of the University of Science and Technology of China, 2012

  1. 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
  2. 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
  3. 2015.09~2015.11 Visiting Research Student at Centrale Supelec, France
  4. 2015.08~2015.09 Visiting Research Student at Tsinghua University, China
  5. 2012.07~2012.08 Visiting Research Student at the University of Science and Technology Beijing, China

My Research Supervision

Research Associate:

  1. Dr Yibo Zhang, AI for Bio
  2. Dr Cheng Ding, AI for Image Processing
  3. Dr Hailan Ma, Quantum for Energy
  4. Mr Zhenhong Sun, Generative AI for CV

 

Current HDR Students:

  1. Mr Runpu Wang: Explainable Battery State of Health Monitoring
  2. Mr Umair Jalil Malik: Advancing Sustainable Material Design with AI/ML    
  3. Mr Fusen Guo: Battery health monitoring and anomaly detection (National Industry PhD Program
  4. Mrs Sabrina Bruckmeier (ETH): Data manipulation in smart grids
  5. Mr Chunyang Zhang: Realize a fine motion control for the human body
  6. Mr Zhicheng Zhang: Define a unique portrait with fine facial and emotional
  7. Mr Yuhao Jing: Real-time power management in renewable smart microgrids
  8. Mrs Wensi Jiang: Natural language processing in social networks
  9. Mr Zihang Qiu: Large language model-based power system forecasting 
  10. Mr Zhongju Wang: Time-series data forecasting
  11. Mr Zhanzhongyu Gao: Anomaly detection
  12. Mrs Weilin Liu: Damage identification of reinforced concrete structures
  13. Mrs Di Zhu (ANU): AI for material
  14. Mr Md Masud Rana: Peak load shaving using battery energy storage
  15. Mr Ahmad Ahmad: Machine learning-based energy production and consumption estimation
  16. Mr Alaa Emad Selim: Power management of an optimized hybrid off-grid energy system using artificial intelligence tool
  17. Mr Chunxiang Song: Quantum controller optimization based on machine learning
  18. Mr Moslem Uddin: Storage-based energy management approach for isolated microgrids

 

Past HDR Students:

  1. Dr Ciyu Qin, now a Postdoc at ETH Zurich, Integrating uncertainty and risk in power system optimization
  2. Mrs Dyuti Paul, now Seeing Machine, Ensemble learning to predict the energy consumption of battery electric vehicles
  3. Dr Mubeenah Titilola Sanni, now Mechatronics Engineering at ACT Government, Voltage profile control of active distribution networks
  4. Mr Marthaler Konrad, ETH

 

My Teaching

  1. ZEIT3506 Systems Engineering and Management
  2. ZEIT4224 Electrical Power and Machines 
  3. ZEIT4231 Smart Grids and Renewable Energy 
  4. ZEIT8021 Information Assurance and Security
  5. ZEIT8031 Reliability Engineering Fundamentals 
  6. ZEIT8037 Cyber Security Risk Management
  7. ZEIT8039 Reliability Engineering Assurance 
  8. ZEIT8115 Information Operations 
  9. ZEIT8152 Reliability Program Management 
  10. ZEIT8226 Systems Engineering Practice
  11. ZEIT8230 Requirements Practice 
  12. ZEIT8236 Systems Safety Engineering