Jun Shen

Working Experience

I am an active researcher in multi-disciplines where computational intelligence, cloud and IoT, and data science, as well as general IS methodologies, are applied to solving real life problems. I have been engaged in 35+ funded projects (supported by ARC(DP/LP)/CRC, NSFC, UGPN, etc) and/or PhD level research topics ranging from AI in education, bioinformatics, intelligent transport, digital health and aged care, to humanistic applications such as arts, human resources, supply chain, media and regional communities. I have also paid many academic visits to top institutions such as MIT, UCI, GaTech, editing journals and chairing academic conferences. I have supervised 24 PhD to completion, and am supervising another 24 by end of 2023.

I have supervised many PhD projects to completion or under way. These include 5 on intelligent transport systems, 4 on services and cloud computing (including edge computing and IoT), 4 on e-learning and open educational resources, 3 on digital health and bioinformatics, 5 on qualitative and quantitative studies on information systems, 2 on agent based system, and a few others on topics such as advanced manufacturing, digital innovation etc.

Research Interests

I have expertise in two major sub-disciplines: 1. Computational intelligence is applied in many areas for innovative solutions ranging from e-learning, bioinformatics, environmental issues, to transport systems. 2. Cloud and big data applications in many fields such as physics simulation, e-health, aged care, advanced manufacturing and business IS/IT systems. The top area of my publications and citations falls in bio-inspired algorithmic optimization. Recently I also moved into applying AI in arts, media and communications fields.