Skip to main content

Shen, Jun Associate Professor

Associate Professor

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

Overview


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 many funded projects (supported by ARC/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 am also a frequent traveler and workaholic busy in visiting top institutions such as MIT, UCI, GaTech, editing journals and chairing academic conferences. I have supervised 15 PhD to completion, and am taking 5-8 new PhDs every year.

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, 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. 

    I have supervised many PhD projects to completion or under way. These include 4 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, 3 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.

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) SCIT: School of Computing and Information Technology
    Doctor of Philosophy (Integrated) Data Replication and Its Alignment with Fault Management in the Cloud Environment 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
    Master of Philosophy Pedagogical Approaches to Integrating Virtual Reality in MOOC to Enhance Learning Outcomes Kayastha, Mahesh
    Doctor of Philosophy Towards A Computational Intelligence Framework in Steel 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 The enablers and inhibitors of public value creation through open government data usage : A mixed method research approach Benmohamed, Nuria
    Doctor of Philosophy Computational Intelligence for the Micro Learning Lin, Jiayin
    Doctor of Philosophy (Integrated) Applying Natural Language Processing on Unstructured Data to Understand and Predict Malnutrition in Residential Aged Care Facilities Alkhalaf, Mohammad
    Doctor of Philosophy Digital Transformation of Government to Create Transparency and Public Trust: A Mixed Methods Research on Indonesia's National Civil Service Workforce Capability Development Virnandes, Sose
    Doctor of Philosophy Pedestrian Social Group Behavior in High-density Conditions Zhang, Steve
    Doctor of Philosophy Cashing In on the Fans: the (B)looming KOL Economy in China Zhang, Susan
    Doctor of Philosophy Optimal Grouping and Intelligent Tutoring in Innovative Learning Environments: Classification based on the Learners' Competencies, Preferences, and Tasks Garshasbi, Soheila
    Master of Philosophy - ASSH Personalized and Inclusive Learning in Digitalized Education Governance: An Action Research to Navigate the Effectiveness of Adaptive Content Feeding model for Secondary Students Li, Hao
    Doctor of Philosophy Evolutionary Cost-sensitive Learning for Deep Learning Telikani, Akbar
    Master of Philosophy - EIS A Study of Recommendation Model for Optimized Study Plan Based on Machine Learning and Micro Learning as a Service Zhuang, Kaizhi
    Doctor of Philosophy Comparison of National Cyber Security Policies Zhang, Junhua

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, 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. 

    I have supervised many PhD projects to completion or under way. These include 4 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, 3 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.

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) SCIT: School of Computing and Information Technology
    Doctor of Philosophy (Integrated) Data Replication and Its Alignment with Fault Management in the Cloud Environment 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
    Master of Philosophy Pedagogical Approaches to Integrating Virtual Reality in MOOC to Enhance Learning Outcomes Kayastha, Mahesh
    Doctor of Philosophy Towards A Computational Intelligence Framework in Steel 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 The enablers and inhibitors of public value creation through open government data usage : A mixed method research approach Benmohamed, Nuria
    Doctor of Philosophy Computational Intelligence for the Micro Learning Lin, Jiayin
    Doctor of Philosophy (Integrated) Applying Natural Language Processing on Unstructured Data to Understand and Predict Malnutrition in Residential Aged Care Facilities Alkhalaf, Mohammad
    Doctor of Philosophy Digital Transformation of Government to Create Transparency and Public Trust: A Mixed Methods Research on Indonesia's National Civil Service Workforce Capability Development Virnandes, Sose
    Doctor of Philosophy Pedestrian Social Group Behavior in High-density Conditions Zhang, Steve
    Doctor of Philosophy Cashing In on the Fans: the (B)looming KOL Economy in China Zhang, Susan
    Doctor of Philosophy Optimal Grouping and Intelligent Tutoring in Innovative Learning Environments: Classification based on the Learners' Competencies, Preferences, and Tasks Garshasbi, Soheila
    Master of Philosophy - ASSH Personalized and Inclusive Learning in Digitalized Education Governance: An Action Research to Navigate the Effectiveness of Adaptive Content Feeding model for Secondary Students Li, Hao
    Doctor of Philosophy Evolutionary Cost-sensitive Learning for Deep Learning Telikani, Akbar
    Master of Philosophy - EIS A Study of Recommendation Model for Optimized Study Plan Based on Machine Learning and Micro Learning as a Service Zhuang, Kaizhi
    Doctor of Philosophy Comparison of National Cyber Security Policies Zhang, Junhua

Full Name


  • Jun Shen

Mailing Address


  • School of Computing and IT

    UOW

    Wollongong

    2522

    Australia

Located In Facility