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Dr Lisa Schultz

  • Research Associate School of Information Technology and Mathematical Sciences
  • email Lisa.Schultz@unisa.edu.au
  • Research Degree Supervisor
  • About me
  • Research
  • External engagement & recognition
  • Teaching & student supervision
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About me

About me

School of Information Technology and Mathematical Sciences

Offering degrees in IT, mathematics, science and data science, the School is a leading Australian applied maths department.

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Professional Associations

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Experience

Qualifications

  • Doctor of Philosophy University of South Australia

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  • Experience
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Research

Research focus

  • Multidisciplinary
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Research

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Projects

Excludes commercial-in-confidence projects.

  • Exploring Fusion with Multiple Types of Uncertainty, Department of Defence - Defence Support Group, 01/11/2016 - 30/06/2017

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Research

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Outputs

Research since 2008 is shown below.

Open access indicates that an output is open access.

Journal Articles

Year Output
2016

Schultz, LJ, Shah, P, Giandomenico, E & Chiera, B 2016, 'Mean vehicle speed distributions for the spatiotemporal estimation of exhaust emissions', Environmental modeling and assessment, vol. 21, no. 2, pp. 169-179.

Conferences

Year Output
2013

Schultz, L, Chiera, B, Shah, P & Boland, J 2013, 'Modelling motor vehicle emissions and population exposure in South Australia', in J Piantadosi, RS Anderssen & J Boland (eds), 20th International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand, pp. 71-77.

Open access
2013

Schultz, L, Chiera, B, Shah, P & Boland, J 2013, 'Modelling motor vehicle exhaust emissions and pollutant dispersion analysis', 21st International Clean Air and Environment Conference (CASANZ 2013), Clean Air Society of Australia and New Zealand, pp. 1-6.

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  • Projects
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External engagement & recognition

Collaborations

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Collaborations

Organisation Country
National University of Rosario ARGENTINA
South Australian Environment Protection Authority AUSTRALIA
University of South Australia AUSTRALIA
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Teaching & student supervision

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Teaching & student supervision

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Courses and programs

Courses I teach and/or co-ordinate

  • MATH 1053 Quantitative Methods for Business (2018)
  • INFS 5116 Data Visualisation (2019)
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Teaching & student supervision

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Research degree supervision

Supervisions from 2010 shown

Thesis title Student status
The nature of health: understanding the nuanced relationship between biodiversity and human wellbeing Current
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