Dr Jing Fu

Dr Jing Fu received the B.Eng. degree in computer science from Shanghai Jiao Tong University, Shanghai, China, in 2011, and the Ph.D. degree in electronic engineering from the City University of Hong Kong in 2016. She has been with the School of Mathematics and Statistics, the University of Melbourne as a Post-Doctoral Research Associate from 2016 to 2019. She has been a lecturer in the discipline of Electronic & Telecommunications Engineering, RMIT University, since 2020. Her research interests now include energy-efficient networking/scheduling, resource allocation in large-scale networks, semi-Markov/Markov decision processes, restless multi-armed bandit problems, stochastic optimization.

Employment

• 2020/3 - present, Lecturer, School of Engineering, RMIT University, VIC, Australia.
• 2016/7 - 2019/12, Postdoctoral Research Associate, School of Mathematics and Statistics, The University of Melbourne, VIC, Australia.
• 2015/9 - 2016/2, Research Assistant, Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China.

Research Interests 

My research interests include green networking, cloud/fog computing, large-scale multi-queue systems, semi-Markov/Markov decision processes, restless multi-armed bandit problems, asymptotic optimality, fluid control problems. 

Dr Fu's Google Scholar for research publications.

Award and Scholarship 

2016/3-2016/8, Postgraduate Studentship (by Central non-UGC fund for studentship. extension) 2012/9-2015/8, Postgraduate Studentship (by University Grants Committee-allocated funds) 2009, Excellence Scholarship of Shanghai Jiao Tong University.
2007, Ziqiang Scholarship of Shanghai Jiao Tong University. 

2007/4, Provincial-Level Merit Student of Hunan province, China.
2006/6, Municipal-Level Merit Student of Changsha, Hunan province, China.
2005, Provincial-Level Thrid Prize in Chinese Physics Olympiad, Hunan province, China.

PhD and MEng opportunities

PhD and MEng research opportunities are available, especially for candidates that have achieved an undergraduate or postgraduate coursework degree GPA of at least 3.5 out of 4. Example topics available in priority order are:

1. Operational decision making in large-scale network systems. PhD/MEng candidates are sought for research into operational decision making/scheduling problems, stochastic optimization problems or dynamic resource allocation problems in large-scale network systems. The prospective student is expected to have fundamental knowledge of stochastic process (such as Markov decision process and queueing process), applied probability and optimization, and good programming skills for large-scale simulations. 
2. Energy-Efficient Scheduling in Wireless Network Slicing. PhD/MEng candidates are sought for research into scheduling problems within the scope of wireless network slicing in 5G. The prospective student is expected to have fundamental knowledge of stochastic process (such as queueing process), network optimization and wireless communications, and good programming skills for large-scale simulations.
3. Cooperative Sensing scheduling. PhD/MEng candidates are sought for research into scheduling problems for cooperative sensing situations, such as unmanned-aerial-vehicle-based automatic bushfire detection. The prospective student is expected to have fundamental knowledge of signal processing, stochastic process (such as Markov decision process) and optimization, and good programming skills for large-scale simulations.

• 2011/9 - 2016/7, Ph.D. Department of Electronic Engineering, City University of Hong Kong, Hong Kong S. A. R. China.
• 
2007/9-2011/7, B.Eng. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China. 
• 2004/8 - 2007/6, High School Diploma, Changjun High School, Changsha, Hunan province, China.