Dr. Nicholas Patorniti - Principal Planner
PhD in Urban Analytics, University of the Sunshine Coast
Bachelor of Urban and Regional Planning (BURP), University of New England.
Dr Nicholas Patorniti is an urban planner whom specialises in applying urban analytic methods to explore and understand complex urban systems. He is the director of UACS Consulting Pty Ltd and has over 15 years of urban planning experience, having worked in small and large international consultancies. Nick lectures urban modelling at USC and has published peer reviewed journal articles about new approaches to model cities and applied urban analytics. He presents his work at national and international conferences, bringing sophisticated data science methods to help solve complex urban problems.
Nick’s urban modelling and applied analytics work is strengthened by his extensive experience in the QLD legislative planning environment. He has been the lead urban analyst and project director for private urban development projects, utilities, local, state and federal government. Projects include peer review independent assessments, best practice research, thought and technical leadership, technical direction and the application of data science thinking and methods to the urban planning discipline.
Dr. Abel Silva Vieira - Principal Urban Analytics Engineer
Project Management Professional (PMP) certified by the Project Management Institute (PMI).
PhD in Civil Engineering addressing the Water-Energy-Climate Nexus, Griffith University, Australia.
Master’s in Civil Engineering (major in Civil Construction), Federal University of Santa Catarina, Brazil.
Bachelor of Environmental Engineering, Federal University of Santa Catarina, Brazil, including exchange program at Linnaeus University, Sweden.
Dr Abel Silva Vieira is an engineer specialised in machine learning applications for urban analytics. His holistic background in infrastructure planning, economic feasibility, environmental assessment, and sustainability provides him with a comprehensive understanding about the urban environment and associated socio-economic drivers. He is a principal urban analytics engineer at UACS Consulting Pty Ltd and has over 10 years professional experience working for the private and public sectors along with extensive scholarly publications (h-index 12). Abel’s background includes a comprehensive understanding of urban and natural environments, which underpins his analytical expertise in the development of fit-for-purpose statistical models and big-data analytics using cutting-edge techniques (e.g., AI deep learning).
Mia Hikuwai - Urban Planner
Bachelor of Town Planning and Urban Design (Honours) majoring in Environmental Management University of the Sunshine Coast
Mia Hikuwai has extensive experience in urban analytics and modelling. Her skills in preparing council wide datasets for population and employment growth models are strengthened by her experience in large data processing and calculating. These projects are including the Land Supply Development Monitoring Report 2020 and Toowoomba Regional Council Planning Scheme studies.
Mia has further experience in preparing training datasets for object detection and has assisted in reviewing urban growth model outputs and providing recommendations for utility providers, local, state and federal government. She is also confident in preparing technical documentation for modelling projects which enables efficient communication of completed work, data quality assurance checks and future consistency.
Kyle Ruskan - Urban Analyst
Bachelor of Town Planning and Urban Design (Honours) majoring in Environmental Management: University of the Sunshine Coast – scheduled to graduate mid 2021
Kyle Ruskan is an experienced urban planner that has specialised in urban analytics. Kyle has worked in a consultancy role for utility providers, local, state and federal government. Kyle has expertise in the preparation, calibration, interpretation, and validation of spatial datasets.
Kyle’s background in urban analytics has involved performing numerous peer-reviews of urban modelling approaches and mechanics across South-East Queensland. Additionally, Kyle has worked on best practice research with has informed the development of new modelling methods. This includes experience with Bayesian networks and object detection deep learning systems. The projects Kyle has been involved in have influenced future planning policies decisions at both a local government area and state government level.