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Contacts> Academic Staff> Dr Daniela Leonte

Dr DANIELA LEONTE

SENIOR LECTURER

PhD Statistics (UNSW, 2003)
MEngSc Waste Management (UNSW, 1995)
BEng Geology/Geophysics (Honours Class I) (Bucharest, 1986)


Phone : 938 54744
Email : d.leonte@unsw.edu.au



RESEARCH INTERESTS

Quantitative risk analysis for environmental health and natural resources management;
Statistical decision theory and its applications to multi-criteria decisions optimisation in physics-centred complex systems;
Enterprise risk management frameworks and the use of quantitative tools to assess operational risks.

RECENT GRANTS

2008, Queensland Rail Network Access, Development of statistical process control system to monitor the transport time performance of freight trains.
2007, Sydney Catchment Authority. Statistical analysis of water quality data in the Shoalhaven catchment. (with Penev)

TEACHING DUTIES

Course coordinator for SESC9211, SESC 9231, SESC 9261, and SESC 9291

ADMINISTRATIVE DUTIES

Postgraduate Risk Management Programs Authority
Coordinator of postgraduate research students, 2009

PROFESSIONAL MEMBERSHIPS

President, Australia/New Zealand Chapter of the Society for Risk Analysis, 2008
Councillor, Society for Risk Analysis, 2008 – 2010

AWARDS

Statistical Society of Australia, Award of Excellence in Statistical Research, 2001

CONSULTING

Eighteen years technical consulting experience to organisations in the health, water, rail, manufacturing, mining, petroleum, defence, contaminated land and waste management industry sectors. Specialist consulting work has been provided in the areas of data mining, probabilistic risk assessment, environmental assessment and management, and multi-criteria risk-based decision making.

Trainer to organisations in the private and Government sectors in Australia, New Zealand, Singapore and Malaysia, on topics ranging from environmental statistics to enterprise risk management.

KEY RESEARCH PUBLICATIONS

  • Nott, D.J., Fielding, M. and Leonte, D., 2008. On a generalization of the Laplace approximation. Statistics and Probability Letters. Under review.
  • Leonte, D., Nott, D.J. and Fielding, M., 2008. Contaminated site assessment through Bayesian hierarchical modelling and Voronoi tessellations. Environmental Modelling and Assessment..
  • Attending to reviewers’ commentsLeonte, D., 2007. A method to explicitly account for the spatial variability of soil chemical concentrations in probabilistic risk assessments. Proceedings of the 16th Society for Risk Analysis Europe conference, The Hague, June 17th – 19th.
  • Leonte, D., Nott, D.J., 2006. Spatial modelling of gamma ray count data, Mathematical Geology, Vol. 38, No. 2, pp 135 – 154, February.
  • Boulavine, D., Leonte, D., 2006. Modelling population exposure to benzene in the Sydney region by applying a static population model, Australian postgraduate research conference, Manly, June.
  • Nott, D.J., Leonte, D., 2004. Sampling schemes for Bayesian variable selection in Generalized Linear Models. Journal of Computational and Graphical Statistics, Vol. 13(2), June, pp. 1 – 21.
  • Leonte, D., Nott, D.J., Dunsmuir, W.T.M., 2003. Smoothing and change point detection for gamma ray count data. Mathematical Geology, Vol. 35, No. 2, pp 175 – 194, February.
RECENT CONFERENCE PRESENTATIONS AND INVITED TALKS

  • Leonte, D., 2008. How useful is the simplistic theoretical definition of risk to manage risk in complex real-life systems?, 3rd annual conference of the Australia and New Zealand chapter of the Society for Risk Analysis, Canberra, September 30th – October 1st.
  • Leonte, D., 2008. Data integration at Enterprise level: Current challenges and future directions, Enterprise Risk Management for Government Conference, Canberra, May 13th – 14th.
  • Leonte, D., 2007. A Bayesian hierarchical modelling approach to describe the spatial variability of chemical concentrations in the soil of a contaminated site, Queensland University of Technology, School of Mathematical Sciences, February 8th.
RECENT RESEARCH REPORTS

  • Leonte, D., 2008. Evaluation of train delay causes in the Goonyella and Callemondah coal distribution systems and development of statistical benchmarks to monitor the operational performance of coal trains. Queensland Rail Network Access, July.
  • Leonte, D., Penev, S., Lazarov, Z. and Mann, R., 2008. Univariate and multivariate statistical analysis of long-term trends in water quality: Shoalhaven Supply System and Catchments. Sydney Catchment Authority, March.
  • Elith, J. and Leonte, D., 2008. New spatial analysis methods for improved hazard/risk identification. Technical project report 06/03, Australian Centre for Excellence in Risk Analysis, February.
  • Leonte, D., 2007. Probabilistic assessment of long-term cancer risks from the exposure of workers in Sydney's sewer system to Volatile Organic Compounds via the inhalation route. Sydney Water Corporation, October.
  • Leonte, D., Penev, S., Khan, A. and Mann, R., 2007. Exploratory Data Analysis of Shoalhaven Supply System and Catchments. Sydney Catchment Authority, September.