Researcher

Dr Huadong Mo

Keywords

Field of Research (FoR)

Biography

Dr Huadong Mo received the B.E. degree in automation from University of Science and Technology of China, China in 2012; and the Ph.D. degree in systems engineering and engineering management from 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. He is currently a Lecturer at the School of Engineering...view more

Dr Huadong Mo received the B.E. degree in automation from University of Science and Technology of China, China in 2012; and the Ph.D. degree in systems engineering and engineering management from 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. He is currently a Lecturer at the School of Engineering and Information Technology, University of New South Wales at Canberra, Australia. His research aims to enhance better resilience, performance and security of complex systems, which primarily lies in the emerging field of energy systems, cyber-physical systems and manufacture 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 PhD students who achieved High Distinction (H1) in their undergraduate program and/or have completed a Masters by Research.

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%) on Automation, Statistics, Mathematics, Electrical Electronic or Computer Science are highly preferred, but students on 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 PhD study, possible PhD 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.

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 Internet of Things
  • Online Diagnosis and Prognosis of Critical Components/Infrastructure Systems
  • Development of Data Mining Techniques to Model Underlying Behavior 

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

Students:

  • Marthaler Konrad (Master of ETHZ, co-supervise with Dr. Sansavini Giovanni
  • Mubeenah Sanni (PhD candidate of UNSW, co-supervise with A/Prof Daoyi Dong and A/Prof Hemanshu Pota)

Others:

  • IEEE Member
  • Fudan Scholar 2019 (1/50 winners)
  • 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
  • Student helper at a few international conferences
  • Outstanding Graduates of University of Science and Technology of China, 2012

Grants Experience:

  • 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, 2/4
  • 2016~now Involved in the project ‘Safety, reliability, and disruption management of high speed rail and metro systems’ funded by University Grants Committee, Hong Kong, directed by Prof Kwok Leung TSUI, 40,000,000 HKD, 43/70
  • 2015~2018 Involved 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, 3/5
  • 2015~2018 Involved in the project ‘Reliability analysis and maintenance of multi-state repairable systems’ funded by University Grants Committee, Hong Kong, directed by Prof Min Xie, 695,854 HKD, 3/7
  • 2013~2017 Involved in the project ‘Advanced reliability and maintenance modeling of highly reliable systems’ funded by Asia Pacific Research Committee, directed by Prof Min Xie, 400,000 HKD, 2/5
  • 2014~2017 Involved in the project ‘The vulnerabilities of future interdependent energy network’ funded by Swiss National Science Foundation, directed by Prof Giovanni Sansavini, 660,000 CHF, 4/10
  • 2017~2020 Involved in the project ‘Risk assessment in bulk energy grids’ funded by Swiss Competence Centers in Energy Research (SCCER) FURIES, directed by Prof Giovanni Sansavini, 243,800 CHF (for co-PI over 48 months), 2/5
  • 2019~2020 Involved (PI) in the project ‘Risk, reliability and optimization of energy systems’ funded by Special Research Grants of UNSW, 49,485 AUD

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
  • 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

My Research Supervision


Currently supervising

  • PhD Candidate: Mubeenah Sanni (UNSW Canberra, co-supervisor)
  • Master Candidate: Marthaler Konrad (ETH Zurich, co-supervisor)

My Teaching

  • ZEIT3506-Systems Engineering and Management
  • ZEIT8037-Cyber Security Risk Management
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Location

Room 101, Building 20,
School of Engineering and Information Technology (SEIT)

Contact

+61 2 6268 8683