Doctor Ante Prodan

Doctor Ante Prodan

Senior Lecturer in Computational Epidemiology,
Computing & ICT

Biography

Qualifications

  • PhD University of Technology, Sydney

Professional Memberships

  • ACM (2005)

Interests

  • Computational Epidemiology
  • Online Teaching and Learning
  • Simulation Modelling in Healthcare
  • AnyLogic (multimethod simulation modelling tool)

Organisational Unit (School / Division)

  • Computing & ICT

Contact

Email: A.Prodan@westernsydney.edu.au
Phone: (02) 9685 9391
Mobile: 0430029115
Location: ER.G.13
Parramatta
Website:

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Teaching

Previous Teaching Areas

  • 300255 Network Management, 2010
  • 300695 Network Technologies, 2010
  • 300695 Network Technologies, 2011
  • 300695 Network Technologies, 2012
  • 300580 Programming Fundamentals, 2013
  • 300695 Network Technologies, 2013
  • 300695 Network Technologies, 2014
  • 300580 Programming Fundamentals, 2014
  • 300695 Network Technologies, 2015
  • 300695 Network Technologies, 2016
  • 301167 Simulation Fundamentals, 2017
  • 300695 Network Technologies, 2017

Publications

Chapters in Books

  • Curry, J., Fitzgerald, A., Prodan, A., Dadich, A. and Sloan, T. (2014), 'Combining patient journey modelling and visual multi-agent computer simulation : a framework to improving knowledge translation in a healthcare environment', Investing in E-Health: People, Knowledge and Technology for a Healthy Future: Selected Papers from the 22nd Australian National Health Informatics Conference (HIC 2014), IOS Press 9781614994268.
  • Prodan, A. and Mirchandani, V. (2009), 'Channel assignment techniques for 802.11-based multiradio wireless mesh networks', Guide to Wireless Mesh Networks, Springer 9781848009080.
  • Mirchandani, V. and Prodan, A. (2009), 'Mobility management in wireless mesh networks', Guide to Wireless Mesh Networks, Springer 9781848009080.

Journal Articles

  • Roberts, N., Li, V., Atkinson, J., Heffernan, M., McDonnell, G., Prodan, A., Freebairn, L., Lloyd, B., Nieuwenhuizen, S., Mitchell, J., Lung, T. and Wiggers, J. (2019), 'Can the target set for reducing childhood overweight and obesity be met? : a system dynamics modelling study in New South Wales, Australia', Systems Research and Behavioral Science, vol 36, no 1 , pp 36 - 52.
  • Atkinson, J., Knowles, D., Wiggers, J., Livingston, M., Room, R., Prodan, A., McDonnell, G., O?Donnell, E., Jones, S., Haber, P., Muscatello, D., Ezard, N., Phung, N., Freebairn, L., Indig, D., Rychetnik, L., Ananthapavan, J. and Wutzke, S. (2018), 'Harnessing advances in computer simulation to inform policy and planning to reduce alcohol-related harms', International Journal of Public Health, vol 63, no 4 , pp 537 - 546.
  • Page, A., Atkinson, J., Heffernan, M., McDonnell, G., Prodan, A., Osgood, N. and Hickie, I. (2018), 'Static metrics of impact for a dynamic problem : the need for smarter tools to guide suicide prevention planning and investment', Australian & New Zealand Journal of Psychiatry, vol 52, no 7 , pp 660 - 667.
  • Atkinson, J., Prodan, A., Livingston, M., Knowles, D., O?Donnell, E., Room, R., Indig, D., Page, A., McDonnell, G. and Wiggers, J. (2018), 'Impacts of licensed premises trading hour policies on alcohol-related harms', Addiction, vol 113, no 7 , pp 1244 - 1251.
  • Atkinson, J., Page, A., Prodan, A., McDonell, G. and Osgood, N. (2018), 'Systems modelling tools to support policy and planning', The Lancet, vol 391, no 10126 , pp 1158 - 1159.
  • Atkinson, J., Page, A., Heffernan, M., McDonnell, G., Prodan, A., Campos, B., Meadows, G. and Hickie, I. (2018), '[In Press] The impact of strengthening mental health services to prevent suicidal behaviour', Australian & New Zealand Journal of Psychiatry, .
  • Ahlip, R., Park, L. and Prodan, A. (2018), 'Semi-analytical option pricing under double Heston jump-diffusion hybrid model', Journal of Mathematical Sciences and Modelling, vol 1, no 3 , pp 138 - 152.
  • Ahlip, R., Park, L. and Prodan, A. (2017), 'Pricing currency options in the Heston/CIR double exponential jump-diffusion model', International Journal of Financial Engineering, vol 4, no 1 .
  • Ahlip, R. and Prodan, A. (2015), 'Pricing FX options in the Heston/CIR jump-diffusion model with log-normal and log-uniform jump amplitudes', International Journal of Stochastic Analysis, vol 2015 .
  • Debenham, J. and Prodan, A. (2013), 'The 'two-hop principle' : stability of MAS in communications networks', Lecture Notes in Computer Science, vol 8062 , pp 281 - 292.
  • Prodan, A., Mirchandani, V. and Debenham, J. (2008), 'A topology control-based self-organisation in wireless mesh networks', International Journal of Communication Networks and Distributed Systems, vol 1, no 4/5/6 , pp 373 - 397.

Conference Papers

  • Prodan, A., Liyanage, L. and Ginige, J. (2017), 'Exploring cannulation process in chemotherapy through a computer simulation', International Conference on Computational Modeling and Simulation, Colombo, Sri Lanka.
  • Heffernan, M., Atkinson, J., McDonnell, G., Roberts, N., Li, V., Freebairn, L., Davison, J. and Prodan, A. (2017), 'Reducing childhood overweight and obesity : can the target be reached by 2025?', System Dynamics Society. International Conference, Cambridge, Mass..
  • Ahlip, R., Park, L. and Prodan, A. (2016), 'Pricing currency options in the Heston/CIR double exponential jump-diffusion model', Portuguese Finance Network. Finance Conference, Covilh?, Portugal.
  • Prodan, A. and Curry, J. (2014), 'A case study on parsing chemotherapy related free-text data', Australian National Health Informatics Conference, Melbourne, Vic..
  • Prodan, A. and Debenham, J. (2013), 'A measurement protocol for channel assignment based topology control on multi-radio wireless mesh networks', IEEE Symposium on Computers and Communications, Split, Croatia.
  • Curry, J. and Prodan, A. (2013), 'Using visual tools to improve clinical engagement and group understanding of complex IT concepts', MEDINFO, Copenhagen, Denmark.
  • Hiatt, T. and Prodan, A. (2011), 'Investigating channel bonding and TXOP in 802.11n wireless networks', TENCON 2011, Bali, Indonesia.
  • Lin, K., Simoff, S., Prodan, A. and Debenham, J. (2010), 'Load prediction in communications network', 2010 International Conference on Information, Networking and Automation (ICINA), Kunming, China.
  • Debenham, J. and Prodan, A. (2008), 'Validation of two distributed, autonomous self-organisation algorithms for 802.11 mesh networks by simulation', Spring Simulation Multiconference, Ottawa, Canada.
  • Mirchandani, V., Prodan, A. and Debenham, J. (2007), 'Impact of topology control on the performance of a self-organization scheme for wireless mesh networks', International Conference on Wireless Internet, Austin, Tex..
  • Prodan, A., Mirchandani, V., Debenham, J. and Green, L. (2007), 'Performance evaluation of a self-organising scheme for multi-radio wireless mesh networks', International Conference on Wireless Broadband and Ultra Wideband Communications, Sydney, N.S.W..
  • Mirchandani, V., Prodan, A. and Debenham, J. (2007), 'A method and study of topology control based self-organization in mesh networks', International Conference on Access Networks, Ottawa, Ont..
  • Mirchandani, V. and Prodan, A. (2007), 'Evaluation of a self-organization scheme with topology control in mesh networks', TENCON, Taipei, Taiwan.

Ante’s research focuses on applying computer simulation and datamining techniques to healthcare modelling problems. He is participating in projects at the Australian Partnership Prevention Centre, the Sax Institute, across the Synthesis Capacity, including targeting modelling and simulation of chronic obstructive pulmonary diseases and alcohol harm reduction.

Ante is also involved in modelling of chemotherapy resource utilisation at Hunter New England Local Health District, where he conducted a research project on using predictive modelling to optimise patient journey for the New England North West Regional Cancer Centre in Tamworth.

Ante obtained his PhD in computer science through a linkage research project between Bell Labs and University of Technology Sydney.

This information has been contributed by Doctor Prodan.

Previous Projects

Title: Dynamic Modelling, Synthesis Capacity
Funder:
  • The Sax Institute (Philanthropic)
  • The Sax Institute
Western Researchers: Ante Prodan
Years: 2016-01-28 - 2018-12-31
ID: P00024146
Title: Chemotherapy Nursing Resources Utilisation Model
Funder:
  • Hunter New England Local Health District
Western Researchers: Ante Prodan and Anupama Ginige
Years: 2015-08-24 - 2016-05-27
ID: P00024382
Title: Using predictive modelling to optimize the patient journey for the New England North West Regional Cancer Centre Tamworth
Funder:
  • Hunter New England Local Health District
Western Researchers: Ante Prodan
Years: 2011-09-13 - 2016-12-31
ID: P00020477

Supervision

Current Supervision

Thesis Title: Examining the Patient Journey Model and its Influence on Clinical Architectural Design
Field of Research:
Thesis Title: Development of an Innovative Lean Implementation Framework for Emergency Departments to Improve Patient Flow
Field of Research:
Thesis Title: The Utilisation of Genetic Algorithms to Optimise Casework Resource Allocation Within the Welfare Sector
Field of Research:
Thesis Title: Using big data methods to examine relationships between wellbeing and social networks
Field of Research:
Thesis Title: Using big data methods to examine relationships between wellbeing and social networks
Field of Research:
Thesis Title: A suicide prevention surveillance and simulation system for Western Sydney
Field of Research:
Thesis Title: Data Integration and Data Mining Framework to Discover Impact of Climate Change on Asthma
Field of Research:

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