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.
*CI: Chief Investigator PI: Partner Investigator
My Research Supervision