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Arshad, Bilal Mr.

Associate Research Fellow

  • Machine Learning / IoT Engineer - SMART Infrastructure Facility

Overview


Bilal Arshad is a University of Wollongong's Alumni, who graduated with the Electrical Engineering Degree. He is currently working at SMART Infrastructure Facility as an Associate Research Fellow. 

He is a Multidisciplinary Researcher, technologist and highly engaged in understanding the implications and applications of Artificial Intelligence in our daily lives. He has gained experience in complementary fields of research such as smart sensing and urban analytics. He is also an Entrepreneur resident at iAccelerate and Director of Wize Dynamics; Wize Dynamics was formed on the idea of auditing the bush area so to estimate the density of different animals in the wild.

Top Publications


Research Overview


  • Following are the research projects that Bilal is involved in for Digital Living Lab at SMART Infrastructure Facility:
    • Storm Water Management Project focusing on Illawarra-Shoalhaven Region
    • Conservation of Biodiversity; Development of AI tools to monitor and track wildlife in wild. 
    • Smart Pedestrian Liverpool Project; Usage of data fusion approach to infer pedestrian mobility in city areas.
    • Development of IoT sensors for Air Pollution and Bushfire Smoke (Low-cost LoRaWAN-connected Sensors)

Available for Collaborative Projects

Attended Event


Selected Publications


  • Journal Article

    Year Title
    2020

    Published In
    Transportation Research Procedia
    Volume
    48
    Pages
    2197 - 2206
    2020

    Published In
    PLoS One
    Volume
    15
    ISSN
    1932-6203
    2019

    Volume
    19
    Pages
    5012-1 - 5012--28
    ISSN
    1424-8239

Impact Story


  • The<strong> Smarter Schools for a Smarter Planet </strong>project aims at enabling regional high school students studying science, technology, engineering and mathematics gain skills in the construction and use of smart technologies and the Internet-of-Things to monitor water issues relevant to their school environment. The project is working with ten high schools throughout the Illawarra.<br /><br />It is a component of the Smart Waterways project which is a collaboration between Wollongong City Council, Shellharbour City Council, Kiama Municipal Council, Shoalhaven City Council, Lendlease Calderwood Valley Communities and UOW's SMART Infrastructure Facility.

Potential Supervision Topics


  • Computer Vision | Machine Learning | Biodiversity | IoT

Keywords


  • Computer Vision, Machine Learning, IoT, Bushfire, Remote Sensing

Top Publications


Research Overview


  • Following are the research projects that Bilal is involved in for Digital Living Lab at SMART Infrastructure Facility:
    • Storm Water Management Project focusing on Illawarra-Shoalhaven Region
    • Conservation of Biodiversity; Development of AI tools to monitor and track wildlife in wild. 
    • Smart Pedestrian Liverpool Project; Usage of data fusion approach to infer pedestrian mobility in city areas.
    • Development of IoT sensors for Air Pollution and Bushfire Smoke (Low-cost LoRaWAN-connected Sensors)

Attended Event


Selected Publications


  • Journal Article

    Year Title
    2020

    Published In
    Transportation Research Procedia
    Volume
    48
    Pages
    2197 - 2206
    2020

    Published In
    PLoS One
    Volume
    15
    ISSN
    1932-6203
    2019

    Volume
    19
    Pages
    5012-1 - 5012--28
    ISSN
    1424-8239

Impact Story


  • The<strong> Smarter Schools for a Smarter Planet </strong>project aims at enabling regional high school students studying science, technology, engineering and mathematics gain skills in the construction and use of smart technologies and the Internet-of-Things to monitor water issues relevant to their school environment. The project is working with ten high schools throughout the Illawarra.<br /><br />It is a component of the Smart Waterways project which is a collaboration between Wollongong City Council, Shellharbour City Council, Kiama Municipal Council, Shoalhaven City Council, Lendlease Calderwood Valley Communities and UOW's SMART Infrastructure Facility.

Potential Supervision Topics


  • Computer Vision | Machine Learning | Biodiversity | IoT

Keywords


  • Computer Vision, Machine Learning, IoT, Bushfire, Remote Sensing
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Geographic Focus