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Associate Professor David Panton
Position: Adjunct Associate Professor Associate Professor David Panton
Division/Portfolio: Division of Information Technology, Engineering and the Environment
School/Unit: School of Mathematics and Statistics
Campus: Mawson Lakes Campus
Office: OC1-26
Telephone: +61 8 830 25779
Fax: +61 8 830 25785
Email: David_dot_Panton_at_unisa_dot_edu_dot_au
URL for Business Card: http://people.unisa.edu.au/David.Panton

I am currently on a period of Academic Reorientation Leave and will retire into an Adjunct position in March 2008. During and after this leave period I will be actively involved in research which involves the supervision of postgraduate students and the Rail CRC.

DETAILED CV

Teaching interests

  • Operations Research
  • Mathematical Modelling

Professional associations

Member of INFORMS (Institute for Operations Research and Management Science)

Member of the Australian Mathematical Society

Committee Member of the Mathematical Association of South Australia

Associate Member representative for The Australian Mathematical Sciences Institute (AMSI) Board in 2005

Member of the reference group for the Strategic Directions for Science and Mathematics (SCIMAS) State Government initiative

Qualifications

PhD (Flinders)

Research interests

  • Scheduling, with applications in Defence, Personnel Management, Sport and Rail.
  • Street Networks
  • Industrial Mathematics
  • Online software for the teaching of Mathematics

Research publications

1994 Personnel Shift Assignment - Existence Conditions and Network Models, D M Panton, J P van den Berg, NETWORKS, 24, pp.385-394.

1997 Optimisation of work flow, D M Panton, N Beaumont, Proceedings of the 1997 Mathematics-in-Industry Study Group.

1997 Dynamic rosters: addressing fatigue and recovery issues in the workforce, D M Panton, G Eitzen, J. Occupational Health and Safety, 13, 5, October, 1997.

1998 Integrated Simulation, Heuristic and Optimisation Approaches to Staff Rostering, D M Panton. A J Mason, D M Ryan, Operations Research 46, 2.

1999 Mission planning for Synthetic Aperture Radar Surveillance, D M Panton, A W Elbers, Interfaces 29: March-April 1999.

2000 Optimal Strategies for CS Energy, D M Panton, R Beard, P Tobin, Proceedings of the 1999 Mathematics-in-Industry Study Group.

2001 Mission Planning For Regional Surveillance, D M Panton, K White, M John, Annals of Operations Research November 2001.

2002 Optimisation Tools for Round-Robin and Partial Round-Robin Sporting Fixtures, David Panton, Kylie Bryant, Jan Schreuder, Mathematics & Computers in Sport, Bond University Gold Coast Queensland.

2002 The Application of Cellular Automata in Weather Radar, David Panton, Alistair Fitt, Yanbo Wang, Proceedings of the Workshop on Industrial Applications, City University of Hong Kong, July 8-12, 2002.

2003 Flight Test Data Cycle Map Optimisation, D M Panton, M John, A J Mason, S Lucas, European Journal of Operations Research, 146/3, pp 486-497.

2004 Multi-Skilled Workforce Optimisation, D M Panton, Graham Mills, Guy Eitzen, Annals of Operations Research, 127, 359-372.

2005 An Integer Programming Model for the Optimisation of Data Cycle Maps, David Panton, Maria John, Andrew Mason, in Integer Programming Theory and Practice, edited by John Karlof, Taylor Francis, 2005.

2007 A Model for Adaptive Rescheduling of Flights in Emergencies (MARFE). Filar, J., Manyem, P., Panton, D., White, K. J of Industrial and Management Optimisation, 8, 2, May 2007.

Expertise for Media Contact

I am able to provide media comment in the following areas of expertise:

Discipline: Mathematics

  • Operations Research.
  • Sport scheduling.
  • Mathematics in Industry.
  • Mathematics education issues

Research Degree Supervisor

In recent years I have supervised five students for doctorates. One has involved the development of column generation techniques for the creation of personnel schedules. Another project has involved both aerial surveillance and the creation of data cycle maps used in aircraft flight testing. I am currently (2007) supervising work in the integration of train timetables with track maintenance. Each of these projects have involved large scale optimisation using integer programming. A fourth project, for which my student will submit in April 2007 has involved the development of online modules for the teaching of mathematics, based on constructivist principles of learning. More recently I have taken on a new student who will work on infrastructure modelling for rail networks. This project will be a part of the CRC for Railway Technologies and Engineering.



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