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
- Student helper at a few international conferences
- Outstanding Graduates of the University of Science and Technology of China, 2012