Dr Huadong Mo
Dr. Huadong Mo is currently a Senior Lecturer at the School of Engineering and Information Technology, University of New South Wales Canberra, 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 better 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 disturbance.
***Scholarships of $35,000 (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.***
***I would not reply to any application email without following mentioned attachments***
***A new research proposal is needed based on our further discussions***
*** Students are highly needed for Quantum computing in power systems***
***I now only have opening Ph.D. positions for developing reinforcement learning/AI-based anomaly detection and decision systems for mitigating the impacts of the aging process, extreme weather events, and cyber-attacks on critical infrastructure (smart grids, ICT systems, and water systems)***
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, 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:
- Real-Time Power Management of Energy Systems with Communication Network
- Vulnerability Analysis and Resilience Increase of Cyber-Physical-Social Systems
- Cyber Risk Analysis for the Internet of Things
- Online Diagnosis and Prognosis of Critical Components/Infrastructure Systems
- AI-based Mitigation Strategy for Infrastructure Systems Under Threats
Research Keywords:
- Optimal Power Flow, Grid Expansion Planning, Renewable Energy/Load Forecast
- Networked Control System, Load Frequency Control, Event trigger
- Reliability, Availability, Maintenance (Conditional or Predictive), Safety
- Resilience, Pre- and Post-Disaster Emergency Response, Humanitarian Logistics
- Data-Driven Modelling, Stochastic Programming
- Cyber-Physical Security, Markov Decision Process
- Industry 4.0-based Manufacturing System, SCADA Data, Online Monitoring
- Available Datasets/Topics for Machine Learning Techniques in Industrial Engineering Fields: Supply Chain Demand Forecast, Operation and Maintenance of Photovoltaic Power Plants, Mining of Global Terrorism Database, Remaining Life Prediction of Cutlery, Prediction of the Correlation Among Funds, Gun Violence Data, Opinion and Emotion Recognition of User in the Automotive Industry, Detection of Fake News in Internet, Classification Prediction of Wind Turbine Blade Icing, Prognosis of Wind Turbine Blade Cracking Failure, Failure Prediction of the Wind Turbine Anemometer Icing
Others:
- IEEE Senior Member
- 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
-
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
- Certificate of FULT Program 2019
- Technical Committee of ESREL 2019 in Hannover, Germany
- Program Committee of ICRMS 2018 in Shanghai, China
- 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 international journals: Reliability Engineering & System Safety, IEEE Transactions on Systems, Man, and Cybernetics: Systems, European Journal of Operational Research, IEEE Systems Journal, IEEE Transactions on Reliability, Journal of the Operational Research Society, IEEE Transactions on Smart Grid, Journal of Applied Statistics, IEEE Transactions on Cybernetics, Risk Analysis, International Journal of Production Research, PLOS ONE
- Outstanding Paper Award, 2017 IEEE International Conference on Industrial Engineering and Engineering Management, Singapore
- Outstanding Reviewer of European Journal of Operational Research 2018
- Outstanding Reviewer of Reliability Engineering & System Safety, 2015 and 2017
- Outstanding Academic Performance Award for Research Degree Students 2013-15 at City University of Hong Kong, Hong Kong (107,240 HKD)
- Student helper at a few international conferences
- Outstanding Graduates of the University of Science and Technology of China, 2012
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
*CI: Chief Investigator PI: Partner Investigator
- 2013~2016 Involved 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
- 2016~2022 Involved (PI) 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
- 2015~2018 Involved (PI) 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
- 2015~2018 Involved (PI) 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
- 2013~2017 Involved 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
- 2014~2017 Involved 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
- 2017~2020 Involved (PI) 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 PI Mo over 48 months)
- 2019~2020 Involved (CI) in the project ‘Risk, reliability and optimization of energy systems’ funded by Special Research Grants of UNSW, 49,485 AUD
- 2020~2022 Involved (co-CI) in the project ‘Intelligent Maintenance of Transmission Grid Assests’ funded by the Swiss Federal Office of Energy, directed by A/Prof Giovanni Sansavini (299,594 CHF, over 28 months for co-CI Mo)
- 2021 Involved (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
- 2022.05-2024.05 Involved (CI) in the project on investigating Covid19 containment methods via machine learning algorithms (RG220870), funded by Joint Hebrew University-Australian Research Projects in Science, Zelman Cowen Academic Initiatives, 300,000 AUD
- 2022 Involved (co-CI) in the project 'Ultrasonic non-destructive evaluation system' (RG214402), funded by 2022 Research Infrastructure Scheme, UNSW, 100,000 AUD
- 2023 Visiting Research Fellowship (Pre-award of Jean d'Alembert Pour Fellowship), France, 122,263 AUD (1 of 5 award receivers)
- 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 (CI) in the project 'Building resilience to cyber-physical energy systems under climate-related disasters', GRIP, Australia, 19,955 AUD
- 2023 Involved (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
- 2024-2025 Involved (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, 509,728 AUD
- 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
- 2017.11 Invited to give a seminar of ‘Risk modeling and performance prediction in power systems’ at the School of Data Science, Fudan University, China
- 2017.02 Invited to give a seminar of ‘Some results on networked and degraded control systems’ at the Department of Industrial and Manufacturing Systems Engineering, Hong Kong University, Hong Kong
- 2016~2018 Attend the plenary discussion of the project ‘Integration of Sustainable Multi-energy-hub Systems at Neighbourhood Scale’ funded by 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 University of Science and Technology Beijing, China
- Postgraduate Course Coordinator of Systems Engineering, SEIT, UNSW Canberra
- Chair of IEEE SMC ACT Chapter
- Associate Editor for Journal - International Journal of Systems, Control and Communications
My Research Supervision
- Ph.D. Candidate: Zhicheng Zhang (UNSW Canberra, joint-primary supervisor with Prof Daoyi Dong and Dr Yu Zhang)
- Research Master Candidate: Wensi Jiang (UNSW Canberra, joint-primary supervisor with Prof Daoyi Dong and Dr Yu Zhang)
- Ph.D. Candidate: Yuhao Jing (UNSW Canberra, joint-primary supervisor with Prof Daoyi Dong and Dr Lily Qiao)
- Ph.D. Candidate: Chunyang Zhang (UNSW Canberra, primary supervisor with Prof Daoyi Dong and Dr Qiuzhuang Sun)
- Ph.D. Candidate: Zhongju Wang (UNSW Canberra, primary supervisor with Prof Daoyi Dong and Dr Qiuzhuang Sun)
- Ph.D. Candidate: Zhanzhongyu Gao (UNSW Canberra, primary supervisor with Prof Daoyi Dong and Dr Xun Xiao)
- Ph.D. Candidate: Di Zhu (ANU, co-supervisor with Dr. Zhuoran Zeng)
- Ph.D. Candidate: Weilin Liu (UNSW Canberra, primary supervisor with Prof Chiking Lee and Dr. Jing Rao)
- Ph.D. Candidate: Md Masud Rana (UNSW Canberra, primary supervisor with Prof Daoyi Dong and Dr Lily Qiao)
- Ph.D. Candidate: Alaa Emad Selim (UNSW Canberra, primary supervisor with Prof Daoyi Dong and A/Prof Hemanshu Pota)
- Ph.D. Candidate: Ryan Jose Sumaya (UNSW Canberra, primary supervisor with Prof Daoyi Dong and A/Prof Hemanshu Pota)
- Ph.D. Candidate: Moslem Uddin (UNSW Canberra, primary supervisor with Prof Daoyi Dong and A/Prof Sondoss EI Sawah)
- Ph.D. Candidate: Ahmad Ahmad (UNSW Canberra, primary supervisor with Prof Daoyi Dong and Dr. Xun Xiao)
- Ph.D. Candidate: Ciyu Qin (UNSW Canberra, primary supervisor with Prof Daoyi Dong and A/Prof Rujun Jiang)
Graduated Ph.D. or Master by Research Candidate:
- Research Master Candidate: Dyuti Paul (UNSW Canberra, primary supervisor with Dr. Saber Elsayed and Dr. Ripon Chakrabortty), graduated in 2024
- Ph.D. Candidate: Mubeenah Sanni (UNSW Canberra, co-supervise with Prof Daoyi Dong and A/Prof Hemanshu Pota), graduated in 2023
- Master Candidate: Marthaler Konrad (ETH Zurich, co-supervise with Prof Sansavini Giovanni), graduated in 2019
My Teaching
- ZEIT3506-Systems Engineering and Management
- ZEIT8037-Cyber Security Risk Management
- ZEIT8021-Information Assurance and Security
- ZEIT8226-Systems Engineering Practice