Shen, Jun Associate Professor

Associate Professor

  • Faculty of Engineering and Information Sciences
  • School of Computing & Information Technology

Top Publications


Research Overview


  • 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, advanced manufacturing and business IS/IT systems.

    The top area of my publications and citations falls in bio-inspired algorithmic optimization.

Available as Research Supervisor

Available for Collaborative Projects

Selected Publications


Impact Story


  • MSIS 2016 is the seventh collaborative effort between ACM and AIS (following IS’97, IS 2002, and IS 2010 at the undergraduate level; MSIS 2000 and MSIS 2006 at the graduate level; and CC 2005 as an integrative document). Both ACM and AIS are global organizations that work to advance computing and its transformative uses. ACM’s membership includes industry professionals, academics, and students worldwide, and it works in a broad spectrum of areas in computing. AIS is the premier global society for faculty members affiliated with IS, and it also serves students through a student chapter structure. The organizations complement each other’s strengths and have been strong partners in educational initiatives since the 1990s.
  • In Sydney, recent significant delays across metropolitan train network were frustrating for many public transport users. There are many different reasons behind train delays, some are unpredictable. New technologies had been applied to improve communications between train operators and real time notifications to customers, but there is a lack of overview of the performance of the whole network. <br /><br />UOW’s final year project team, under A/Prof Jun Shen’s supervision, developed an online dashboard system, which exploited latest UI visualisation, asynchronous Web technologies, cloud based data solution, and geographical information systems, to give Sydney Trains operators a real-time view of whole nextwork. It also supports detailed queries on a particular trains station or rail line, as well as archived historical train running performance data. <br /><br />This work makes time-consuming data analysis work much easier and faster with just a few clicks of buttons. Not only it is time saving, the system is also cost saving as a better mitigation plan could be developed in case of network chaos, to minimise the overall spending on organising replacement buses. <br /><br />As a result, Sydney Trains have been keen to extend the project to further tackle train delay problems. The project is a great example how IT could transform the different industries or public sector in modern society, in this case it belongs to a bigger effort of smart city. <br /><br />Center for IT enabled Transoformation (CITT) in the School of Computing and IT, is working with Sydney Trains, Data 61 of CSIRO and University of Sydney on a collaborated project on Mobility as a Service (MaaS). The long term objective is to provide an intelligent and integrative transport system for all publica transport users, who can travel between different transport modes, such as trains, buses, ferries, light rails etc, seamlessly with the least cost. If successful, the project will make beneficial impacts in improved efficiency and effectiveness of Sydney transport network, saving tens of millions dollars a year for public infrastructure expenditure.

Available as Research Supervisor

Potential Supervision Topics


  • Bioinformatics
  • Computational Intelligence Applications (Big Data);
    Modern Learning (Teaching) Systems;
    Cloud Computing.
  • ITS
  • Industrial Internet

Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy (Integrated) Machine Learning techniques for adaptive mobile cloud based online learning Jin, He
    Doctor of Philosophy A Computational Framework for Pathogen-Host Protein-Protein Interactions Chen, Huaming
    Doctor of Philosophy (Integrated) Integrated and Adaptive Data Management Strategies for Scientific Workflows in Multi-Cloud Environments Xie, Fei
    Doctor of Philosophy (Integrated) Assessing the determinants of business value related to IT Projects. A strategic alignment perspective in public sector organisations in Saudi Arabia. Alghazi, Abdulaziz
    Doctor of Philosophy Large Scale Nonparametric Modelling for Dynamic Public Transit Accessibility Wu, Jianqing
    Master of Philosophy Pedagogical Approaches to Integrating Virtual Reality in MOOC to Enhance Learning Outcomes Kayastha, Mahesh
    Doctor of Philosophy Machine Learning Based Product Quality and Cost Control Li, Fucun
    Doctor of Philosophy Inferential Factors on the effective Use of Knowledge Management Systems Jackson, Timothy
    Doctor of Philosophy AI enhanced segmentation, annotation, and recommendation for micro-learning Lin, Jiayin
    Master of Research - EIS Diabetic Monitoring Device Design Zhu, Yunshu
    Doctor of Philosophy (Integrated) Delivering adequate micro learning in mobile MOOC learning Wang, Keran

Full Name


  • Jun Shen

Mailing Address


  • School of Computing and IT

    UOW

    Wollongong

    2522

    Australia

Located In Facility


Top Publications


Research Overview


  • 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, advanced manufacturing and business IS/IT systems.

    The top area of my publications and citations falls in bio-inspired algorithmic optimization.

Selected Publications


Impact Story


  • MSIS 2016 is the seventh collaborative effort between ACM and AIS (following IS’97, IS 2002, and IS 2010 at the undergraduate level; MSIS 2000 and MSIS 2006 at the graduate level; and CC 2005 as an integrative document). Both ACM and AIS are global organizations that work to advance computing and its transformative uses. ACM’s membership includes industry professionals, academics, and students worldwide, and it works in a broad spectrum of areas in computing. AIS is the premier global society for faculty members affiliated with IS, and it also serves students through a student chapter structure. The organizations complement each other’s strengths and have been strong partners in educational initiatives since the 1990s.
  • In Sydney, recent significant delays across metropolitan train network were frustrating for many public transport users. There are many different reasons behind train delays, some are unpredictable. New technologies had been applied to improve communications between train operators and real time notifications to customers, but there is a lack of overview of the performance of the whole network. <br /><br />UOW’s final year project team, under A/Prof Jun Shen’s supervision, developed an online dashboard system, which exploited latest UI visualisation, asynchronous Web technologies, cloud based data solution, and geographical information systems, to give Sydney Trains operators a real-time view of whole nextwork. It also supports detailed queries on a particular trains station or rail line, as well as archived historical train running performance data. <br /><br />This work makes time-consuming data analysis work much easier and faster with just a few clicks of buttons. Not only it is time saving, the system is also cost saving as a better mitigation plan could be developed in case of network chaos, to minimise the overall spending on organising replacement buses. <br /><br />As a result, Sydney Trains have been keen to extend the project to further tackle train delay problems. The project is a great example how IT could transform the different industries or public sector in modern society, in this case it belongs to a bigger effort of smart city. <br /><br />Center for IT enabled Transoformation (CITT) in the School of Computing and IT, is working with Sydney Trains, Data 61 of CSIRO and University of Sydney on a collaborated project on Mobility as a Service (MaaS). The long term objective is to provide an intelligent and integrative transport system for all publica transport users, who can travel between different transport modes, such as trains, buses, ferries, light rails etc, seamlessly with the least cost. If successful, the project will make beneficial impacts in improved efficiency and effectiveness of Sydney transport network, saving tens of millions dollars a year for public infrastructure expenditure.

Potential Supervision Topics


  • Bioinformatics
  • Computational Intelligence Applications (Big Data);
    Modern Learning (Teaching) Systems;
    Cloud Computing.
  • ITS
  • Industrial Internet

Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy (Integrated) Machine Learning techniques for adaptive mobile cloud based online learning Jin, He
    Doctor of Philosophy A Computational Framework for Pathogen-Host Protein-Protein Interactions Chen, Huaming
    Doctor of Philosophy (Integrated) Integrated and Adaptive Data Management Strategies for Scientific Workflows in Multi-Cloud Environments Xie, Fei
    Doctor of Philosophy (Integrated) Assessing the determinants of business value related to IT Projects. A strategic alignment perspective in public sector organisations in Saudi Arabia. Alghazi, Abdulaziz
    Doctor of Philosophy Large Scale Nonparametric Modelling for Dynamic Public Transit Accessibility Wu, Jianqing
    Master of Philosophy Pedagogical Approaches to Integrating Virtual Reality in MOOC to Enhance Learning Outcomes Kayastha, Mahesh
    Doctor of Philosophy Machine Learning Based Product Quality and Cost Control Li, Fucun
    Doctor of Philosophy Inferential Factors on the effective Use of Knowledge Management Systems Jackson, Timothy
    Doctor of Philosophy AI enhanced segmentation, annotation, and recommendation for micro-learning Lin, Jiayin
    Master of Research - EIS Diabetic Monitoring Device Design Zhu, Yunshu
    Doctor of Philosophy (Integrated) Delivering adequate micro learning in mobile MOOC learning Wang, Keran

Full Name


  • Jun Shen

Mailing Address


  • School of Computing and IT

    UOW

    Wollongong

    2522

    Australia

Located In Facility