Professor Philip Sallis

Philip Sallis

Pro Vice Chancellor (Office of the Vice Chancellor)

Phone: +64 9 921 9999 ext 9010

Email: philip.sallis@aut.ac.nz

Qualifications:

BA (Computer Science) (VUW)
PhD (Information Science) City Univ London)
Dip Grad (Theology) Otago

Memberships and Affiliations:

FNZCS, IEEE (Snr), MACM, MRSNZ, IAMG (Life Member), MNZID

Biography:

  • BA double major in History and Computer Science with Stats & Op Res (1972)
  • Applied Maths Division, DSIR Wgtn (1972-1976)
  • MPhil then PhD, The City University London England, 1976-79 (Information Science)
  • Academic appointments in UK and Australia (1980-87)
  • Foundation Professor of Information Science, Univ of Otago (1987-99)
  • Graduate study in Theology at University of Otago (1990-1) prior to being ordained an Anglican Priest  
  • Deputy Vice Chancellor at AUT (1999-2009)
  • Pro Vice Chancellor and Director of the GRC (2009-13)
  • Seconded 2 yrs as Head in School of Computer and Mathematical Sciences (2014-15)
  • Past President of the NZCS, chair and committee member of numerous government and industry commissions and boards  
  • Member of Boards of Directors for five companies
  • Parish Priest, Anglican Church of St Alban Balmoral, Auckland

Teaching Areas:

  • Software Engineering
  • GeoComputation and Geospatial Information Processing

Research Areas:

  • Software systems design and development
  • Numerical computing and data modelling

Current Research Projects:

  • Designing and developing terrestrial telemetry instrumentation for agrometeorological monitoring and modelling

Publications:

Sallis P, Whalley J, Michael-Agwuoke M, Chile L. (2016). Expanding the horizon of waste data mapping and collection. In Waste Management Symposium (WM2016), Phoenix, Arizona, USA, 06 Mar 2016 - 10 Mar 2016. WMSymposia 2016. wmsym.org. 103. 06 Mar 2016.

Bassey, E., Sallis, P., & Prasad, K. (2016). Analysis of Methanol Sensitivity on SnO2-ZnO Nanocomposite. In 2016 Annual Meeting and Exhibition of The Mineral, Metal and Materials Society (TMS2016). Nashville, USA.

Sallis, P., Dannheim, C., Icking, C., & Mader, M. (2015). Instrumentation and algorithms for the identification of ill-formed objects. International Journal of Simulation - Systems, Science and Technology, 15(6).

Sallis, P., & Claster, W. (2015). Using change point analysis to determine perception accuracyinsocial media opinions. International Journal of Computer Techniques, 2(4), 6-24. Retrieved from http://www.ijctjournal.org/

Hernández, S., & Sallis, P. (2015). Distributed minimum temperature prediction using mixtures of Gaussian Processes. In R. Denzer, R. Argent, & G. Schimak (Eds.), Environmental Software Systems, Infrastructures, Services and Applications (pp. 484-491). Melbourne, Australia: Springer.

Kmoch, A., Whalley, J. L., Sallis, P., & Klug, H. (2015). Bridging Domains: A web-enabled interoperable Groundwater Research Framework. In IOP Conference Series: Earth and Environmental Science. Halifax, Nova Scotia, Canada: IOPScience.

Zandi, S., Whalley, J., & Sallis, P. (2015). Estimation of Near Ground PM10 Concentrations Using Artificial Neural Networks. In The 21st International Congress on Modelling and Simulation (MODSIM2015) (pp. 2 pages). Queensland, Australia: Modelling and Simulation Society of Australia and New Zealand. Retrieved from http://www.mssanz.org.au/modsim2015

Sallis, P., Dannheim, C., Icking, C., & Mäder, M. (2014). Air pollution and fog detection through vehicular sensors. In D. Al-Dabass, J. Y. Kuo, S. Ma, & Z. Ibrahim (Eds.), Asia Modelling Symposium 2014, Eighth Asia International Conference on Mathematical Modelling and Computer Simulation (pp. 181-186). Taipei and Kuala Lumpur: IEEE Xplore.

Bassey, E., Whalley, J., & Sallis, P. (2014). An evaluation of smoothing filters for gas sensor signal cleaning. In C. Rückemann, & M. Pankowska (Eds.), INFOCOMP 2014 : The Fourth International Conference on Advanced Communications and Computation (pp. 19-23). Paris, France.

Bassey, E., Whalley, J., Sallis, P., & Prasad, K. (2014). Wavelet Transform Smoothing Filters for Metal Oxide Gas Sensor Signal Cleaning. In 8th International Conference on Sensing Technology 2014 (pp. 538-542). Liverpool, UK.

Dannheim, C., Icking, C., Maeder, M., & Sallis, P. (2014). Weather detection in vehicles by means of camera and LIDAR systems. In D. Al-Dabass, V. Ameti, F. Skenderi, & F. Halili (Eds.), Sixth International Conference on Computational Intelligence, Communication Systems and Networks (pp. 186-191). Tetovo, Macedonia Republic: IEEE online Digital Library I-Xplore.

Ghobakhlou, A., Sallis, P., & Wang, X. (2014). A service oriented wireless sensor node management system. In I2MTC 2014: 2014 IEEE International Instrumentation and Measurement Technology Conference (pp. 1475-1479). Montevideo, Uruguay.

Nti, I., & Sallis, P. (2014). Geospatial workflow process for modelling complex land use cover change. In D. P. Ames, N. W. T. Quinn, & A. E. Rizzoli (Eds.), Proceedings of the 7th International Congress on Environmental Modelling and Software. San Diego, California, USA. Retrieved from http://www.iemss.org/society/index.php/iemss-2014-proceedings

Prasad, K., Bassey, E., & Sallis, P. (2014). Electronic nose for gas sensing applications. In COMMAD2014 Conference Booklet (pp. 113-116). IEEE.

Shanmuganathan, S., & Sallis, P. (2014). Data Mining Methods to Generate Severe Wind Gust Models. Atmosphere 2014, 5(1), 60-80. doi:10.3390/atmos5010060

Sallis, P., & Nti, I K. (2013). Geospatial modelling of complex land use cover change: how to determine the adequacy and significance of variables. In A. Moore, & P. A. Whigham (Eds.), Celebrating the Past - Redefining the Future: Proceedings of the 125th NZIS annual conference and SIRC NZ 2013: GIS and Remote Sensing Research Conference (pp. 171-176). Wellington: New Zealand Institute of Surveyors. Retrieved from http://www.nzisconference.org.nz/assets/2013-Conference-Uploads/joint-proceedings-nzis-sircnzV1.pdf

Bassey, E., Prasad, K., & Sallis, P. (2013). Surface structure and particle analysis of combined SnO2 and ZnO nanoparticles prepared for gas sensing. In F. Marquis (Ed.), The 8th Pacific Rim International Congress on Advanced Materials and Processing (PRICM8) (pp. 2157-2162). USA: The Minerals, Metals and Materials Society.

Ghobakhlou, A., & Sallis, P. (2013). Wireless sensor network for microclimate monitoring. Lecture theatre L.G.04 and L-Foyer, University of Waikato, Hamilton. Retrieved from http://researchcommons.waikato.ac.nz/handle/10289/7330

Ghobakhlou, A., Kmoch, A., & Sallis, P. (2013). Integration of wireless sensor network and web services. In J. Piantadosi, R. S. Anderssen, & J. Boland (Eds.), Adapting to Change: the multiple roles of modelling (pp. 838-844). Adelaide, Australia: Modelling and Simulation Society of Australia and New Zealand. Retrieved from http://www.mssanz.org.au/modsim2013/index.html

Ghobakhlou, A., Wang, X., Zandi, S., & Sallis, P. (2013). Environmental monitoring with multi-hop wireless sensor network. MD107, Auckland University of Technology (South). Retrieved from http://www.geo-informatics.org/event/workshop13/index.html

Hernandez, S., & Sallis, P. (2013). Bayesian model averaging for estimating non-stationary soil moisture data. In J. Piantadosi, R. S. Anderssen, & J. Boland (Eds.), Adapting to Change: the multiple roles of modelling (pp. 796-802). Adelaide, Australia: Modelling and Simulation Society of Australia and New Zealand. Retrieved from http://www.mssanz.org.au/modsim2013/index.html

Patteyn, M., Ghobakhlou, A., & Sallis, P. (2013). Wireless sensor network: optimization of power consumption. MD107, Auckland University of Technology (South). Retrieved from http://www.geo-informatics.org/event/workshop13/index.html

Sallis, P., Hernández, S., & Shanmuganatha, S. (2012). Dynamic Multivariate Continuous Data State-Space Estimation for Agrometeorological Event Anticipation. International Journal of Machine Learning and Computing, 2(5), 672-676. doi:10.7763/IJMLC

Sallis, P., & Garden, K. (2012). Environment Monitoring – Issues for Measurement and Instrumentation. Diamond Cliff Hotel, 284 Prabaramee Road, Patong Beach, Phuket, Thailand 83150.

Sallis, P., Shanmuganathan, S., & Ghobakhlou, A. (2012). Wireless sensors in the Vineyard. In T. Kambe, C. A. Bulucea, & C. Arapatsakos (Eds.), RECENT RESEARCHES in APPLICATIONS of ELECTRICAL and COMPUTER ENGINEERING (pp. 83-89). WSEAS Press. Retrieved from http://www.wseas.us/e-library/conferences/2012/Vouliagmeni/ACA/ACA-12.pdf

Shanmuganathan, S., Narayanan, A., & Sallis, P. (2012). Climate change and grape wine quality: a GIS approach to analysing New Zealand wine region. In N. Chhetri (Ed.), Climate Change / Book 1
ISBN 980-953-307-389-2 (Vol. Book 1 ISBN 980-953-307-389-2). open source: INTECH. Retrieved from http://www.intechopen.com/contact.html

Zandi, S., Ghobakhlou, A. A., & Sallis, P. (2012). A Comparison of Spatial Interpolation Methods for Mapping Soil pH by Depths. In Anna World 2011. Chennai, INDIA. Retrieved from http://www.ariespub.com/index.html

Sallis, P. (2011). Sensing instrumentation for micro-environment data management. Palmerston North, New Zealand.

Sallis, P., & Hernandez, S. (2011). A Precision Agronomic State-Space Estimation Method for Event Anticipation Using Dynamic Multivariate Continuous Data. Journal of Computer Science & Computational Mathematics. Retrieved from http://www.geo-informatics.org/publications/A%20precision%20agronomic%20state-space%20estimation%20method-%20JCSSM.pdf

Sallis, P., & Hernandez, S. (2011). Modelling seismic activity using a Bayesian
non-parametric method. International Journal of Geology, 5(4), 126-130. Retrieved from http://www.naun.org/journals/geology/

Sallis, P., & Hernandez, S. (2011). An event-state depiction algorithm using CPA methods with continuous feed data. In Asia Modelling Society (AMS2011). Retrieved from http://www.computer.org/portal/web/csdl/doi/10.1109/AMS.2011.36

Ghobakhlou, A., Zandi, S., & Sallis, P. (2011). Development of Environmental Monitoring System with Wireless Sensor Networks. In 19th International Congress on Modelling and Simulation (pp. 1125-1131). Australia: Modelling and Simulation Scociety of Australia and New Zealand.

Hernández, S., & Sallis, P. (2011). Sentiment-Preserving Reduction for Social Media Analysis. In C. S. Martin, & S. -W. Kim (Eds.), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (Vol. 7042, pp. 409-416). Springer-Verlag New York Inc. doi:10.1007/978-3-642-25085-9_48

Hernandez, S., Sallis, P., & Garden, K. (2011). A signal denoising method for text meaning vectors. In 2011 Fifth Asia Modelling Symposium, May (pp. 23-25). Retrieved from http://www.computer.org/portal/web/csdl/doi/10.1109/AMS.2011.16

Hernández, S., Morales, L., & Sallis, P. (2011). Estimation of reference evapotranspiration using limited climatic data and Bayesian model averaging. Proceedings - UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011, 59-63. doi:10.1109/EMS.2011.81

Owusu-Banahene, W., Nti, I., & Sallis, P. (2011). Integrating Geo-spatial Information Infrastructure into Conservation and
Management of Wetlands in Ghana. In 2011 Second International Conference on Intelligent Systems, Modelling and Simulation (pp. 91-94). Kuala Lumpur, Malaysia & Phnom Penh, Cambodia: IEEE.

Perez-Kuroki, A., Shanmuganathan, S., Scannavino Jr, F., Sallis, P., & Narayanan, A. (2011). Establishing the correlation between soil and crop production to optimize wine quality. In 19th International Conference on Modelling and Simulation (MODSIM 2011) (pp. 1132-1138). Perth/Australia. Retrieved from http://www.mssanz.org.au/modsim2011/C2/perez-kuroki.pdf

Scannavino Jr, F., Perez-Kuroki, A., Ghobakhlou, A., Sallis, P., Shanmuganathan, S., & Cruvinel, P. (2011). Spatial variability on soil pH gradient: A case study in vineyards. In 19th International Congress on Modelling and Simulation (pp. 1139-1145). Australia: Modelling and Simulation Scociety of Australia and New Zealand.

Shanmuganathan, S., Narayanan, A., & Sallis, P. (2011). Text mining for modelling the quality of vintage wines. The GRID, 1, 14-19.

Shanmuganathan, S., Kuroki, A. P., Narayanan, A., & Sallis, P. (2011). Modelling the seasonal climate variability and its effects on vintage wines from Marlborough, NZ. In Proceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011 Vol. 4 (pp. 2074-2079).

Shanmuganathan, S., Perez Kuroki1, A. J., Narayanan, A., & Sallis, P. (2011). Modelling the effects of climate change on grapevine phenology and wine quality: A review. The GRID, 1, 7-13.

Scannavino Jr, F., Perez Kuroki, A., Ghobakhlou, A., Sallis, P., Shanmuganathan, S., & Cruvinel, P. (2011). Spatial variability on soil pH gradient: A case study in vineyards. In Modelling and Simulation Society of Australia and New Zealand. Perth/Australia. Retrieved from http://www.mssanz.org.au/modsim2011/index.html

Zandi, S., Ghobakhlou, A. & Sallis, P. (2011). Evaluation of Spatial Interpolation Techniques for Mapping Soil pH. In F. Chan, D. Marinova, & R. S. Anderssen (Eds.), 19th international congress on modelling and simulation. (pp. 1153-1159). Australia: Modeling and Simulation Society of Australia and New Zealand Inc. Retrieved from http://mssanz.org.au/modsim2011

Sallis, P., & Hernandez, S. (2010). Geospatial state space estimation using an ensemble Kalman Filter. International Journal of Simulation: Systems, Science and Technology, 11(6), 56-60.

Sallis, P., & Hernandez, S. (2010). Ensemble interpolation methods for spatio-temporal data modelling. In European Modelling and Simulation Symposium (EMS2011).

Shanmuganathan, S., Sallis, P., & Narayanan, A. (2010). Modelling the effects of daily extreme weather on grapevine and wine quality. In D. A. Swayne, W. Yang, A. A. Voinov, A. Rizzoli, & T. Filatova (Eds.), Fifth Biennial Meeting International Environmental Modelling and Software Society (iEMSs) 2010 International Congress on Environmental Modelling and Software Modelling for Environment’s Sake (pp. 2327-2335). Modelling for Environment’s Sake, Fifth Biennial Meeting, Ottawa, Canada. Retrieved from http://www.iemss.org/iemss2010/Volume3.pdf

Sallis, P. J., Shanmuganathan, S., Pavesi, L., & Jarur, M. (2008). A system architecture for collaborative environmental modelling research. In W. W. Samari, & W. McQuay (Eds.), 2008 International Symposium on Collaborative Technologies and Systems (CTS 2008) (pp. 39-47). New Jersey, USA: IEEE.

Shanmuganathan, S., Ghobakhlou, A., & Sallis, P. (2008). Sensor data acquisition for climate change modelling. In WSEAS  Circuits & Systems Vol. 7(11 (pp. 942-952).


Awards:

  • Various citations for conference papers and contributions to computing

Last updated: 12-Dec-2016 4.30pm

The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.