Associate Professor David Wilson

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Associate Professor

Email: david.wilson@aut.ac.nz

ORCID: ORCID logo https://orcid.org/0000-0003-0802-1845

Links to relevant web pages:

Academic appointments:

  • Associate Professor, Auckland Univesity of Technology (2003 - ongoing)

Qualifications:

  • PhD, The University of Queensland
  • BE (Chem & Mats) Hons 1, The University of Auckland

Teaching summary:

I teach advanced numerical analysis for engineering students, electrical fields and waves including Maxwell Equations.

Fields of research:

  • Calculus of Variations, Systems Theory and Control Theory
  • Optimisation
  • Simulation and Modelling
  • Chemical Engineering
  • Process Control and Simulation
  • Food Engineering
  • Food Processing
  • Automation and Control Engineering

Research outputs:

Featured research outputs

  • Depree, N., Prince-Pike, A., Young, B., & Wilson, D. (2019). Predictive modelling of instant whole milk powder functional performance across three industrial plants. Journal of Food Engineering, 252, 1-9. doi:10.1016/j.jfoodeng.2019.01.011

  • Munir, T. M., Wilson, D., Yu, W., & Young, B. R. (2018). An evaluation of hyperspectral imaging for characterising milk powders. Journal of Food Engineering, 221(March 2018), 1-10. doi:10.1016/j.jfoodeng.2017.10.001

  • Munir, T., Wilson, D., Depree, N., Boiarkina, I., Prince-Pike, A., & Young, B. R. (2017). Real-time product release and process control challenges in the dairy milk powder industry. Current Opinion in Food Science, 17. doi:10.1016/j.cofs.2017.08.005

  • Rimpilainen, V., Kaipio, J., Depree, N., Young, B., & Wilson, D. I. (2015). Predicting functional properties of milk powder based
    on manufacturing data in an industrial-scale powder
    plant. Journal of Food Engineering, 153. doi:10.1016/j.jfoodeng.2014.12.010

Journal articles

  • Depree, N., Prince-Pike, A., Young, B., & Wilson, D. (2019). Predictive modelling of instant whole milk powder functional performance across three industrial plants. Journal of Food Engineering, 252, 1-9. doi:10.1016/j.jfoodeng.2019.01.011

  • Munir, T. M., Wilson, D., Yu, W., & Young, B. R. (2018). An evaluation of hyperspectral imaging for characterising milk powders. Journal of Food Engineering, 221(March 2018), 1-10. doi:10.1016/j.jfoodeng.2017.10.001

  • Munir, T., Wilson, D., Depree, N., Boiarkina, I., Prince-Pike, A., & Young, B. R. (2017). Real-time product release and process control challenges in the dairy milk powder industry. Current Opinion in Food Science, 17. doi:10.1016/j.cofs.2017.08.005

  • Maclaren, P., Wilson, D., & Klymchuk, S. (2017). Lecturer Use of Pen-enabled Tablet PC Technology in the STEM Classroom:
    Implications for Notetaking. Australiasian Journal of Education technology, 33(2). Retrieved from https://ajet.org.au/index.php/AJET/article/view/3257/1447

  • Maclaren, P., Wilson, D. I., & Klymchuk, S. (2017). Making the point: The place of gesture and annotation in teaching stem subjects using pen-enabled tablet PCs. Teaching Mathematics and its Applications. doi:10.1093/teamat/hrx002

  • Boiarkina, I., Depree, N., Yu, W., Wilson, D., & Young, B. (2017). Fault diagnosis of an industrial plant using a Monte Carlo analysis coupled with systematic troubleshooting. Food Control, 78. doi:10.1016/j.foodcont.2017.02.061

  • Maclaren, P., Wilson, D., & Klymchuk, S. (2017). I see what you are doing: Student views on lecturer use of tablet PCs in the engineering mathematics classroom. Australasian Journal of Educational Technology, 33(2). doi:10.14742/ajet.3257

  • Boiarkina, I., Depree, N., Yu, W., Wilson, D., & Young, B. (2017). Rapid particle size measurements used as a proxy to control instant whole milk powder dispersibility. Dairy Science & Technology, 96(6). doi:10.1007/s13594-016-0302-5

  • Baroutian, S., Wilson, D., Rozali, S., Syed, A., Sarmah, A., Farid, M., . . . Young, B. (2017). Subcritical Thermal Hydrolysis of Crystalline Cellulose Model Compound. Journal of Environmental Management.

  • Boiarkina, I., Sang, C., Depree, N., Prince-Pike, A., Yu, W., Young, B., & Wilson, D. (2016). The significance of powder breakdown during conveying within industrial milk powder plants. Advanced Powder Technology, 27(6). doi:10.1016/j.apt.2016.10.019

  • Munir, T., Zhang, Y., Yu, W., Wilson, D., & Young, B. R. (2016). Virtual milk for modelling and simulation of dairy processes. Journal of Dairy Science, 99(5). doi:10.3168/jds.2015-10449

  • Tajammal Munir, M., Yu, W., Young, B. R., & Wilson, D. I. (2015). The current status of process analytical technologies in the dairy industry. Trends in Food Science and Technology, 43(2). doi:10.1016/j.tifs.2015.02.010

  • Prince-Pike, A., Wilson, D., Baroutian, A., Andrews, J., & Gapes, D. (2015). A kinetic model of municipal sludge degradation during non-catalytic wet oxidation. Water Research, 87. doi:10.1016/j.watres.2015.09.009

  • Munir, M. T., Yu, W., Young, B. R., & Wilson, D. I. (2015). The current status of process analytical technologies in the dairy industry. Trends in Food Science and Technology, 43(2). doi:10.1016/j.tifs.2015.02.010

  • Rimpilainen, V., Kaipio, J., Depree, N., Young, B., & Wilson, D. I. (2015). Predicting functional properties of milk powder based
    on manufacturing data in an industrial-scale powder
    plant. Journal of Food Engineering, 153. doi:10.1016/j.jfoodeng.2014.12.010

  • Currie, J., & Wilson, D. I. (2014). The Efficient Modelling of Steam Utility Systems. IPENZ Transactions, 41. Retrieved from http://www.ipenz.org.nz/

  • Wilson, D. I., & Currie, J. (2014). The efficient modelling of steam systems. IPENZ transactions, 41. Retrieved from http://www.ipenz.org.nz/

  • Currie, J., Prince-Pike, A., & Wilson, D. I. (2014). A cost effective high-speed auto-coded embedded model predictive controller. International Journal of intelligent Systems Technologies and Applications, 13(1/2). Retrieved from http://www.inderscience.com/jhome.php?jcode=IJISTA

  • Wilson, D. I. (2013). Navigating the wilds of industrial optimisation. Australian Journal of Multi-disciplinary Engineering, 9(2). Retrieved from http://search.informit.com.au.ezproxy.aut.ac.nz/

  • Maclaren, P., Singamneni, S., & Wilson, D. I. (2013). Technologies for engineering education. Australian Journal of Multi-disciplinary Engineering, 9(2). Retrieved from http://search.informit.com.au.ezproxy.aut.ac.nz/

  • Yu, W., Wilson, D. I., & Young, B. R. (2012). A comparison of nonlinear control performance assessment techniques for nonlinear processes. Canadian Journal of Chemical Engineering, 90(6).

  • Yu, W., Wilson, D. I., & Young, B. R. (2012). A comparison of nonlinear control performance assessment techniques for nonlinear processes. Canadian Journal of Chemical Engineering, 90. doi:10.1002/cjce.21733

  • Yu, W., Wilson, D. I., & Young, B. R. (2012). Control Performance Assessment in the Presence of Sampling Jitter. Chemical Engineering Research and Design, 90(1). doi:10.1016/j.cherd.2011.06.007

  • Currie, J., Wilson, D. I., Depree, N., Young, B. R., Zainal Abidin, S., & Karim, L. (2011). Steam utility systems are not 'business as usual' for chemical process simulators. 11AIChE - 2011 AIChE Spring Meeting and 7th Global Congress on Process Safety, Conference Proceedings.

  • Currie, J., Wilson, D. I., Depree, N., Young, B. R., Zainal Abidin, S., & Karim, L. (2011). Steam utility systems are not 'business as usual' for chemical process simulators. 11AIChE - 2011 AIChE Spring Meeting and 7th Global Congress on Process Safety, Conference Proceedings.

  • Yu, W., Wilson, D. I., Harris, T. J., & Young, B. R. (2010). Control performance assessment for Hammerstein-Wiener models. IFAC Proceedings Volumes (IFAC-PapersOnline), 9(PART 1), 679-684. doi:10.3182/20100705-3-BE-2011.0025

  • Yu, W., Wilson, D. I., & Young, B. R. (2010). Nonlinear control performance assessment in the presence of valve stiction. Journal of Process Control, 20(6), 754-761. doi:10.1016/j.jprocont.2010.04.004

  • Yu, W., Wilson, D., & Young, B. (2010). Control performance assessment for block-oriented nonlinear systems. 2010 8th IEEE International Conference on Control and Automation, ICCA 2010. doi:10.1109/ICCA.2010.5524173

  • Yu, W., Wilson, D. I., & Young, B. R. (2010). Control performance assessment for nonlinear systems. Journal of Process Control, 20(10). doi:10.1016/j.jprocont.2010.09.002

  • Yu, W., Wilson, D. I., & Young, B. R. (2010). Nonlinear control performance assessment in the presence of valve stiction. Journal of Process Control, 20(6). doi:10.1016/j.jprocont.2010.04.004

  • Yu, W., Wilson, D. I., & Young, B. R. (2010). Control performance assessment for nonlinear systems. Journal of Process Control, 20(10). doi:10.1016/j.jprocont.2010.09.002

  • Yu, W., Wilson, D., Young, B., & Harris, T. (2009). Variance decomposition of nonlinear systems. 2009 IEEE International Conference on Control and Automation, ICCA 2009, 738-744. doi:10.1109/ICCA.2009.5410151

  • Yu, W., Wilson, D. I., & Young, B. R. (2009). Eliminating valve stiction nonlinearities for control performance assessment. IFAC Proceedings Volumes (IFAC-PapersOnline), 7(PART 1). Retrieved from http://www.ifac-papersonline.net/Detailed/42085.html

  • Wilson, D. I. (2008). Applying Data Reconciliation and the Diagnostic Model Processor to a paper machine. Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC.

  • Yu, W., Wilson, D. I., & Young, B. R. (2008). Control performance assessment in the presence of valve stiction. Proceedings of the IASTED International Conference on Intelligent Systems and Control, 379-384.

  • Wilson, D. I. (2008). Without the least vestige of land: The perculiarities of nautical charts. Boating New Zealand.

  • Wilson, D. I. (2008). Have you got the drift?. Boating New Zealand, (September).

  • Wilson, D. I. (2008). Dead Reckoning Resurrected. Boating New Zealand, (March).

  • Wilson, D. I. (2007). Modelling for control: How close is close enough?. Electrical & Automation Technology.

  • Wilson, D. I. (2007). Modern technology and ancient rocks. Boating New Zealand, (December).

  • Wilson, D. I., & Soboil, M. (2006). Optimal control strategies to reduce sea lion bycatch in squid fishing. Proceedings of the Second IASTED International Conference on Environmental Modelling and Simulation, EMS 2006, 83-88.

  • Wilson, D. I. (2006). An embedded robust PID one-button autotuner. Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC, 454-459.

  • Dahl, M., Wilson, D. I., & Håkanson, L. (2006). A combined suspended particle and phosphorus water quality model: Application to Lake Vänern. Ecological Modelling, 190(1-2), 55-71. doi:10.1016/j.ecolmodel.2005.02.019

  • Dahl, M., & Wilson, D. I. (2006). The danger of short-term validation for lake models. International Journal of Modelling and Simulation, 26(2), 98-104.

  • Wilson, D. I., & Young, B. R. (2006). The seduction of model predictive control. Electrical and Automation Technology, (Nov/Dec).

  • Wilson, D. I. (2006). The black art of smoothing. Electrical and Automation Technology, (June/July).

  • Dahl, M., Wilson, D. I., & Hakanson, L. (2006). A combined suspended particle and phosphorus water quality model: Application to Lake Vanern. Ecological Modelling, 190.

  • Dahl, M., & Wilson, D. I. (2006). The danger of short-term validation for lake models. International Journal of Modelling and Simulation, 26.

  • Wilson, D. I., & Balderud, J. (2005). Parameters affecting disturbance propagation through the wet end of a paper machine. Appita Journal, 58(1).

  • Wilson, D., & Balderud, J. (2005). Parameters affecting disturbance propagation through the wet end of a paper machine. Appita Journal, 58(1).

  • Wilson, D. (2005). Relay-based PID tuning. Automation and Control, February-March.

  • Dahl, M., & Wilson, D. (2004). Is Lake Vanern well mixed? A statistical procedure for selecting model structure and resolution. Journal of Great Lakes Research, 30(2). Retrieved from http://www.iaglr.org/jglr/journal.php

  • Stigsson, V., Wilson, D. I., & Germgard, U. (2004). Production variance in purified carboxymethyl cellulose (CMC) manufacture. Developments in Chemical Engineering and Mineral Processing, 12.

  • Andersson, N., Wilson, D., & Germgard, U. (2003). Model-based kraft cooking optimisation. Nordic Journal of Pulp and Paper Research, 18(4). Retrieved from http://www.npprj.com/

  • Andersson, N., Wilson, D., & Germgard, U. (2003). An improved kinetic model structure for softwood kraft cooking. Nordic Journal of Pulp and Paper Research, 18(2). Retrieved from http://www.npprj.com/

  • Andersson, N., & Wilson, D. (2003). Measurement uncertainty in NIR analysis of black liquor parameters. Paperi ja Puu (Paper and Timber), 85(7).

  • Andersson, N., Wilson, D. I., Germgård, U., & Lindström, T. (2001). Organic matter content in black liquor inside and outside chips during kraft cooking. Paperi ja Puu/Paper and Timber, 83(7), 538-541.

  • Wilson, D. I., Lee, P. L., White, E. T., & Newell, R. B. (1991). Advanced control of a sugar crystallizer. Journal of Process Control, 1(4), 197-206. doi:10.1016/0959-1524(91)85009-8

Conference contributions

  • Yu, W., Wilson, D., Lin, Y., & Young, B. (2019). Combining mechanistic modelling with machine learning in an industrial case study: Predicting cream cheese fermentation. In Foundations of Process Analytics and Machine learning. Raleigh. Retrieved from https://fopam.org/

  • Wilson, D. (2019). Soft Sensor Development for Industrial Milk Powder Process Systems. In 5th Big Data Analytics, AIChE Spring Meeting. New Orleans: American Institute of Chemical Engineers. Retrieved from https://aiche.confex.com/aiche/s19/meetingapp.cgi/Home/0

  • Boiarkina, I., Prince-Pike, A., Depree, N., Yu, W., Wilson, D., & Young, B. (2019). Disturbance Tracking in Industrial Milk Powder Process Systems. In 5th Big Data Analytics, AIChE Spring Meeting. New Orleans: American Institute of Chemical Engineers. Retrieved from https://www.aiche.org/

  • Lie, M., Habibb, B., Yu, W., Wilson, D., & Young, B. R. (2018). Dynamic modelling and control of small scale Organic Rankine Cycle systems using VMGSim. In 13th International Symposium of Process Systems Engineering (PSE2018) Vol. 44 (pp. 745-750). San Diego: Elsevier B.V.. doi:10.1016/B978-0-444-64241-7.50119-1

  • Wilson, D., & Abel, N. (2018). Mind the Gap: Ensuring a smooth passage from Matlab to FPGA Code. In Computing for SKA Colloquium 2018: Towards Construction. Auckland: AUT Institute for Radio Astronomy and Space Research. Retrieved from https://irasr.aut.ac.nz/

  • Boiarkina, I., Depree, N., Prince-Pike, A., Yu, W., Wilson, D. I., & Young, B. R. (2018). Using Big Data in Industrial Milk Powder Process Systems. In Computer Aided Chemical Engineering Vol. 44 (pp. 2293-2298). San Diego: Elsevier. doi:10.1016/B978-0-444-64241-7.50377-3

  • Am, V., Currie, J., & Wilson, D. (2018). A Comparison between NLP and MILP Formulations of Organic Rankine Cycle Systems for Optimization. In Proceedings of the 13th International Symposium on Process Systems Engineering Vol. 44 (pp. 991-996). San Diego: Elsevier B.V.. doi:10.1016/B978-0-444-64241-7.50160-9

  • Boiarkina, I., Yu, W., Prince-Pike, A., Depree, N., Wilson, D., & Young, B. (2018). Classification and Regression Modelling for Investigating the effect of Particle Size and Morphology on the Functionality of Industrial Spray Dried Milk Powder. In 8th World Congress on Particle Technology. Orlando: American Institute of Chemical Engineers. Retrieved from https://www.aiche.org/

  • Thomas, J., Currie, J., & Wilson, D. (2017). Loop shaping design procedure for quadrotor control with weights
    designed by resolving a constrained non-linear optimization problem. In Australasian Conference on Robotics and Automation. Sydney. Retrieved from http://www.araa.asn.au/conferences/acra-2017/table-of-contents/

  • Thomas, J., Currie, J., & Wilson, D. (2017). Automatic weight selection for mixed sensitivity optimization control of a quadcopter. In IEEE 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 12-17). Auckland: IEEE. doi:10.1109/M2VIP.2017.8211477

  • Griffin, A., Radford, B., Pradel, N., Wilson, D. I., & Ensor, A. (2017). Precision analysis of the imaging pipeline in the Square Kilometre Array. In 25th European Signal Processing Conference, EUSIPCO 2017 Vol. 2017-January (pp. 2418-2422). doi:10.23919/EUSIPCO.2017.8081644

  • Boiarkina, I., Yang, N., Depree, N., Yu, W., Young, B. R., & Wilson, D. (2017). Can we infer powder bulk density from just the particle size distribution?. In Chemeca 2017. Melbourne: Engineers Australia. Retrieved from http://www.racicongress.com/downloads/abstracts/CHEMECA-abstract-book.pdf

  • Am, V., Currie, J., & Wilson, D. (2017). A Systematic Approach to Modelling Organic Rankine Cycle Systems for Global Optimization. In 6th International Symposium on Advanced Control of Industrial Processes (pp. 487-492). Taipei: IEEE Catalog Number(USB): CFP17ADN-USB. Retrieved from http://adconip2017.org/

  • Depree, N., Prince-Pike, A., Boiarkina, I., Croy, R., Wilson, D., & Young, B. R. (2017). Challenges and Benefits of Aligning and Reconciling Process Data for Seasonal Processing Industries. In American Institute of Chemical Engineers Spring Meeting. San Antonio, Tx. Retrieved from https://aiche.confex.com/aiche/s17/webprogram/Paper479593.html

  • Griffin, A., Pradel, N., Radford, B., Wilson, D., & Ensor, A. (2017). Precision analysis of the imaging pipeline in the square kilometre array. In 2017 25th European Signal Processing Conference (EUSIPCO) (pp. 2418-2442). Kos: IEEE.

  • Depree, N., Prince-Pike, A., Young, B., & Wilson, D. (2016). Real Time Quality control of IWMP functional performance across three large-scale plants. In IDF Parallel Symposia. .

  • Boiarkina, I., Depree, N., Yu, W., Young, B., & Wilson, D. (2016). Just-in-Time Functionals Using Proxy Measurements: A step towards real-time quality. In International Dairy Federation Parallel Symposia. DoubleTree by Hilton, Burlington Road: http://www.idfingredientsandcheese2016.com/IDF%20Parallel%20Symposia%20Concentration%20and%20Dried%20Milk%20Products-Programme.pdf.

  • Boiarkina, I., Ye, J., Prince-Pike, A., Yu, W., Young, B. R., & Wilson, D. (2016). The morphology of instant whole milk powder from different industrial plants. In Chemical Engineering - Regeneration, Recovery and Reinvention (pp. 945-953). Adelaide: Engineers Australia. Retrieved from https://www5.shocklogic.com/

  • Munir, T. M., Wilson, D., & Young, B. R. (2016). Discrimination of milk powder using hyperspectral data and a multivariable strategy. In Chemical Engineering - Regeneration, recovery and reinvention. Adelaide Australia.

  • Munir, M. T., Wilson, D., & Young, B. R. (2016). Milk powder quality prediction using hyperspectral data and partial least squares regression. In Chemeca 2016. Adelaide.

  • Wilson, D. (2015). Being expressive: Interactive Handwritten Capabilities in Digital Environments. In Australasian Symposium on using Pen-enabled Tablets in Teaching Stem Subjects. AUT University.

  • Boiarkina, I., Sang, C., Depree, N., Yu, W., Young, B., & Wilson, D. (2015). Significance of powder breakdown during in-plant transport at industrial milk powder plants. In Asian Pacific Confederation of Chemical Engineering (APCChE) (pp. 1-9). Melbourne.

  • Munir, M. T., Depree, N., Young, B. R., & Wilson, D. I. (2015). Hyper-spectral imaging for the discrimination of milk powder. In APCChE 2015 Congress (pp. 1-12). Melbourne. Retrieved from http://www.apcche2015.org/

  • Udugama, I. A., Wilson, D. I., Munir, T., Young, B., & Yu, W. (2015). What Went Wrong and When?
    Multivariate Fault Diagnosis of a High Purity Distillation Column. In ADChem 2015. Whistler, BC: IFAC. Retrieved from http://adchem2015.org/

  • Klymchuk, S., Maclaren, P., & Wilson, D. (2015). Lecturers’ attitudes towards integrating pen-enabled tablet PCs in teaching engineering mathematics.. In Online Proceedings of the 12th International Conference on Technology in Mathematics Teaching (ICTMT12) (pp. 530-532). Faro: University of Algarve. Retrieved from http://hdl.handle.net/10400.1/6081

  • Klymchuk, S., Maclaren, P., & Wilson, D. (2015). Lecturers’ attitudes towards integrating pen-enabled tablet PCs in teaching engineering mathematics.. In Online Proceedings of the 12th International Conference on Technology in Mathematics Teaching (ICTMT12) (pp. 2 pages). Faro. Retrieved from http://hdl.handle.net/10400.1/6081

  • Young, B., Depree, N., Boiarkina, I., Munir, T., & Wilson, D. I. (2015). A structured investigation of real-time prediction of milk powder functional properties. In International Forum Process Analytical Technology (IFPAC) Food Quality, Safety and Analysis. Arlington VA. Retrieved from http://www.ifpac.com/cgi-bin/IFPACProgram2015.pl

  • Munir, T., Yu, W., Wilson, D. I., & Young, B. (2015). Potential of hyperspectral imaging for quality control in milk powders. In International Forum Process Analytical Technology (IFPAC) Food Quality, Safety and Analysis. . Retrieved from http://www.ifpac.com/cgi-bin/IFPACProgram2015.pl

  • Udugama, I., Wilson, D., Munir, T., Young, B., & Yu, W. (2014). What Went Wrong and When? Multivariate Fault Diagnosis of a High Purity Distillation Column. In Chemeca 2014: Processing excellence; Powering our future (pp. 939-947). Perth, Western Australia: Engineers Australia. Retrieved from http://search.informit.com.au/documentSummary;dn=703218151890333;res=IELENG

  • Munir, M. T., Zhang, Y., Wilson, D. I., Yu, W., & Young, B. R. (2014). Modelling of a falling film evaporator for dairy processes. In Chemeca 2014: Processing excellence; Powering our future. Perth: http://www.icheme.org/chemeca2014/program/papers.aspx. Retrieved from http://search.informit.com.au/documentSummary;dn=789768302919011;res=IELENG

  • Rimpilainen, V., Boiarkina, I., Depree, N., Yu, W., & Wilson, D. I. (2014). Who's to blame? Relating input disturbances to output variations in Milk Powder Fortification. In 28th International Forum Process Analytical Technology (IFPAC). Arlington, VA (Washinton DC). Retrieved from http://www.ifpacpat.org/

  • Depree, N., Boiarkina, I., Rimpilainen, V., Prince-Pike, A., Young, B., & Wilson, D. I. (2014). Process Analytical Technology Application for Real Time Quality Monitoring during Milk Powder Production. In 28th International Forum Process Analytical Technology (IFPAC). Arlington, VA (Washington, DC). Retrieved from http://www.ifpacpat.org/

  • Young, B. R., Depree, N., Munir, M. T., & Wilson, D. I. (2013). Can Process Analytical Technology Lead to Real-time Quality Management for Diary Food Products?. In Chemeca 2013. Brisbane.

  • Lim, H., Currie, J., & Wilson, D. I. (2013). Modelling and Optimisation of the Otahuhu B Combined Cycle Gas Turbine Power Station. In Australian and New Zealand Annual Chemical Engineering Conference (pp. 7 pages). Brisbane: Chemical College, Engineers Australia. Retrieved from http://www.conference.net.au/chemeca2013/

  • Maclaren, P., & Wilson, D. I. (2013). Redeveloping a Signature Pedagogy for Engineering: Responding to new spaces and new technologies. In HERDSA 2013: The place of learning and teaching. Auckland. Retrieved from http://conference.herdsa.org.au/2013

  • Hunter, T., Russel, N., Wilson, D. I., Depree, N., Munir, T., & Young, B. (2013). Building a real-time quality programme for dairy. In 27th International Forum Process Analytical Technology, IFPAC-2013. Baltimore, Maryland: IFPAC. Retrieved from http://www.ifpacpat.org/

  • Boiarkina, I., Depree, N., Yu, W., Young, B. R., & Wilson, D. I. (2013). Quantifying Product Variation in Milk Powder Production Using A Monte Carlo Analysis. In Chemeca 2013 : challenging tomorrow (pp. 8 pages). Brisbane: Chemical College, Engineers Australia. Retrieved from http://www.conference.net.au/chemeca2013/papers/29562.pdf

  • Wilson, D. I., & Maclaren, P. (2013). From Chalk Talk to Tablet Talk: Pedagogies for Control Engineering. In 10th IFAC Symposium on Advances in Control Education (pp. 144-149). Sheffield: International Federation of Automatic Control.

  • Currie, J., & Wilson, D. (2012). Rigorously modelling steam utility systems for mixed integer optimization. In 10th International Power and Energy Conference (IPEC) (pp. 526-531). Ho Chi Minh City.

  • Currie, J., Prince-Pike, A., & Wilson, D. I. (2012). Auto-code generation for fast embedded Model Predictive Controllers. In 2012 19th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2012 (pp. 116-122). .

  • Wilson, D. I. (2012). Navigating the Wilds of Industrial Optimisation. In Proceedings of the 11th Global Congress on Manufacturing and Management (GCMM2012) (pp. 39-46). Auckland. Retrieved from http://www.aut.ac.nz/engineering/gcmm2012

  • Currie, J., Prince-Pike, A., & Wilson, D. I. (2012). Auto-Code Generation for Embedded Model Predictive Controllers. In 19th International Conference in Mechatronics and Machine Vision in Practice (pp. 122-128). Auckland.

  • Wilson, D. I. (2012). Real-World Optimisation using “Industrially Hardened” Software. In Public presentation. .

  • Maclaren, P., Singamneni, S., & Wilson, D. I. (2012). Technologies for Engineering Education.. In Proceedings of the 11th Global Congress on Manufacturing and Management (GCMM2012). Auckland.

  • Munir, M. T., Yu, W., Young, B. R., & Wilson, D. I. (2012). Eco-efficiency and Control Loop Configuration for Recycle Systems. In American Control Conference (pp. 6436-6441). Montreal.

  • Hunter, T. J., Russell, N. T., Wilson, D. I., Young, B. R., Munir, T., & Depree, N. (2012). Developing a Real-Time Quality Programme for Dairy. In Australian and New Zealand Annual Chemical Engineering Conference, Chemeca. Wellington: Engineers Australia.

  • Prince-Pike, A., Wilson, D. I., Ileva, I., Li, A., & Phethean, M. (2012). Maintaining New Zealand’s Electrical Reserve Management Tool. In 10th International Power and Energy Conference (pp. 273-278). Ho Chi Minh City: IEEE.

  • Currie, J., & Wilson, D. I. (2012). The Efficient Modelling of Steam Utility Systems. In Australian and New Zealand Annual Chemical Engineering Conference, Chemeca (pp. 14 pages). Wellington: Engineers Australia.

  • Yu, W., Wilson, D. I., Currie, J., & Young, B. (2012). Maintaining a Consistent Controller Performance. In Australian and New Zealand Annual Chemical Engineering Conference 2012 (pp. 1-9). Wellington: Engineers Australia.

  • Yu, W., Wilson, D. I., & Young, B. R. (2012). Control Performance Assessment for a class of Nonlinear Multivariable Systems. In 22nd European Symposium on Computer Aided Process Engineering. London: Elsevier. Retrieved from http://www.icheme.org/events/events/2011/escape%2022.aspx

  • Currie, J., & Wilson, D. I. (2012). OPTI: Lowering the barrier between open source optimizers and the industrial MATLAB user. In FOCAPO 2012 / CPC VIII Foundations of Computer-Aided Process Operations Chemical Process Control: Invited & Contributed Papers (pp. 6 pages). Savannah, Georgia: Omipress.

  • Yu, W., Wilson, D. I., & Young, B. R. (2012). The robustness of PI and PID controllers in the presence of sampling jitter. In Chemical Process Control VIII (pp. 6 pages). Savannah, Georgia. Retrieved from http://cpcmeeting.org/

  • Wilson, D. I. (2012). Optimising ferry routes. In American Control Conference (pp. 3992-3997). Montreal.

  • Yu, W., Wilson, D. I., & Young, B. R. (2011). A Comparison of Nonlinear Control Performance Assessment Techniques for Hammerstein-Wiener Processes. In 4th International Symposium on Advanced Control of Industrial Processes (pp. 246-251). Hangzhou, Zhejiang. Retrieved from http://ieeexplore.ieee.org.ezproxy.aut.ac.nz/

  • Currie, J., Wilson, D. I., Depree, N., Young, B. R., Zainal Abidin, S., & Karim, L. (2011). Steam utility systems are not 'business as usual' for chemical process simulators. In 11AIChE - 2011 AIChE Spring Meeting and 7th Global Congress on Process Safety, Conference Proceedings.

  • Currie, J., Wilson, D. I., Depree, N., Young, B. R., Azmanai, S., & Karim, L. (2011). Steam utility systems are not business as usual for chemical plant simulators. In AIChE Spring Meeting. Chicago, IL. Retrieved from http://apps.aiche.org/proceedings/Session.aspx?SessionID=15181

  • Currie, J., & Wilson, D. I. (2011). Interpolated Model Predictive Control: Having Your Cake And Eating It Too. In Chemeca 2011 (pp. 6 pages). Sydney, NSW.

  • Currie, J., & Wilson, D. I. (2010). Lightweight model predictive control intended for embedded applications. In IFAC Proceedings Volumes (IFAC-PapersOnline) Vol. 9 (pp. 278-283). doi:10.3182/20100705-3-BE-2011.0127

  • Yu, W., Wilson, D. I., & Young, B. R. (2010). Control Performance Assessment for Block-oriented Nonlinear Systems. In 8th IEEE International Conference on Control & Automation ICCA 10 (pp. 1151-1156). Xiamen.

  • Yu, W., Wilson, D. I., Harris, T. J., & Young, B. R. (2010). Control Performance Assessment for Hammerstein-Wiener Models. In 9th International Symposium on Dynamics and Control of Process Systems (DYCOPS (pp. 665-670). Leuven.

  • Gulyaev, S., Natusch, T., & Wilson, D. (2010). Characterisation and Calibration of the 12-m Antenna in Warkworth, New Zealand. In Sixth General Meeting of the International VLBI Service. Hobart.

  • Currie, J., & Wilson, D. I. (2010). Lightweight Model Predictive Control intended for embedded applications. In 9th International Symposium on Dynamics and Control (pp. 6 pages). Leuven.

  • Yu, W., Wilson, D. I., Young, B. R., & Harris, T. (2009). Variance Decomposition of Nonlinear Systems. In 7th IEEE International Conference on Control and Automation ICCA'09 (pp. 738-744). Christchurch.

  • Yu, W., Wilson, D. I., & Young, B. R. (2009). Eliminating Valve Stiction Nonlinearities for Control Performance Assessment. In International Symposium on Advanced Control of Chemical Processes ADCHEM (pp. 526-531). Koç University, Istanbul: International Federation of Automatic Control.

  • Currie, J., & Wilson, D. I. (2009). A Model Predictive Control toolbox intended for rapid prototyping. In 16th Electronics New Zealand Conference (ENZCon. Dunedin.

  • Yu, W., Wilson, D. I., & Young, B. R. (2008). Control performance ssessment in the presence of valve stiction Intelligent Systems and Control. In Intelligent Systems and Control (pp. 379-384). Orlando.

  • Wilson, D. I. (2008). Applying data reconciliation and the diagnostic model processor to a paper machine. In 27th IASTED International Conference on Modelling, Identification and Control, MIC 2008 (pp. 376-380). Innsbruch.

  • Cheng, B. C., & Wilson, D. I. (2008). Sustainability Management Systems: A Companion to, or a Superset of, the Quality Management System. In Learn-Share-Grow Conference 2008 (pp. 92-96). Queenstown: The New Zealand Organisation for Quality.

  • Cheng, B. C. M., & Wilson, D. I. (2008). How sustainable is our electricity industry? A robust quantifiable approach. In Creating Values for Sustainable Development: Proceedings of the 2nd International Sustainability Conference. Basel.

  • Wilson, D. I., & Soboil, M. (2006). Optimal control strategies to reduce sea lion bycatch in squid fishing. In 2nd IASTED International Conference on Environmental Modelling and Simulation EMS06 (pp. 25-32). Anaheim.

  • Wilson, D. I. (2006). An embedded robust PID one-button autotuner. In Proceedings of the 25th IASTED International Conference on Modelling, Identification and Control (pp. 454-459). Anaheim.

  • Cheng, B. C. M., & Wilson, D. I. (2006). A total quality management approach to determine an industrial sector's sustainability - a New Zealand electricity industry case study. In 12th Annual International Sustainable Development Research Conference (pp. 25-32). Hong Kong.

  • Cheng, B. C. M., & Wilson, D. I. (2006). A sustainability index for an industrial sector - a New Zealand electricity industry case study. In 12th Annual International Sustainable Development Research Conference Proceedings. Hong Kong.

  • Wilson, D. I. (2005). Towards intelligence in embedded PID controllers. In ntelligent Systems and Control, ISC 2005, Boston, USA (pp. 25-30). : ACTA Press. Retrieved from http://www.iasted.com/conferences/2005/cambridge/isc.asp?confid=497

  • Wilson, D. (2005). Towards intelligence in embedded PID controllers. In Intelligent Systems and Control, ISC 2005, Boston, USA (pp. 25-30). : ACTA Press. Retrieved from http://www.iasted.com/conferences/2005/cambridge/isc.asp?confid=497

  • Wilson David, I. (2004). Parametric linear quadratic control: Can we avoid a state estimator?. In 23rd IASTED International Conference on Modelling, Identification and Control (pp. 182-186). : ACTA Press.

  • Haag, C., Hamza, M. H., & Wilson, D. I. (2003). Potential for symbolic-assisted process simulation. In Proceedings of the IASTED Modelling, Identification and Control Conference 2003 (pp. 572-577). : ACTA Press. Retrieved from http://www.actapress.com/proceedings/mic.htm

  • Andersson, N., Hamza, M. H., & Wilson, D. (2003). Orthogonal signal correction inside cross-validation Improves error estimation in PLS models.. In Proceedings of the IASTED Modelling, Identification and Control Conference 2003 (pp. 45-50). : ACTA Press. Retrieved from http://www.actapress.com/proceedings/mic.htm

  • Dahl, M., Hamza, M. H., & Wilson, D. I. (2003). Modelling salt transport in Baltic basins. In Modelling, Identification and Control 2003 (pp. 426-431). : ACTA Press.

  • Andersson, N., Wilson, D. I., & Germgård, U. (2002). Validating continuous kraft digester kinetic models with online NIR measurements. In Proceedings of the American Control Conference Vol. 5 (pp. 3783-3787). doi:10.1109/ACC.2002.1024516

  • Balderud, J., & Wilson, D. I. (2002). Application of predictive control to a toy helicopter. In IEEE Conference on Control Applications - Proceedings Vol. 2 (pp. 1225-1229).

  • Balderud, J., & Wilson, D. I. (2001). Decoupling basis-weight measurements in paper manufacture. In Proceedings of the American Control Conference Vol. 3 (pp. 2222-2224).

  • Wilson, D. I., & Balderud, J. (2000). Experiences building and validating a large-scale dynamic paper machine model. In IEE Colloquium (Digest) (pp. 3-7).

  • Wilson, D. I., White, E. T., & Lee, P. L. (1986). REVIEW OF CONTROL METHODS USED FOR SUGAR CRYSTALLIZATION VACUUM PANS.. In National Conference Publication - Institution of Engineers, Australia (pp. 105-109).

Reports

  • Depree, N., Prince-Pike, A., Wilson, D., & Young, B. (2018). Final Report on Modern Regression (2018-ND1). Auckland.

  • Depree, N., Prince-Pike, A., Wilson, D., & Young, B. (2017). Process Signature Analysis: Process Signature Analysis:
    Te Rapa D4, Whareroa P5, Clandeboye CD3
    (2016-ND2). Auckland.

  • Wilson, D., Bunton, J., & Radford, B. (2016). SKA1 CSP Low Correlator and Beamformer
    Sub-element Signal Processing Matlab
    Model (EA-7a)
    (SKA-TEL-CSP-0000061). Manchester, UK: SKA Office.

  • Munir, T., Depree, N., Prince-Pike, A., Yu, W., Wilson, D., & Young, B. (2012). Development of a Real Time Quality Framework (D1) (D1). Confidential report prepared for Fonterra, Te Rapa, New Zealand.

  • Wilson, D. I. (2011). Microwave Pyrolysis Study: Experimental design (1-3).

  • Wilson, D. I., & Prince-Pike, A. (2011). RMT Platform Upgrade Project: A Technical Description of the Changes Required for the Reserve Management Tool (RMT). (3-2).

  • Wilson, D. I., & Currie, J. (2011). Electrostatic Fibre Spinning: A Preliminary Study (1).

  • Wilson, D. I., & Currie, J. (2011). Microwave Pyrolysis Study: Cavity design and numerical simulations (2-2).

  • van Vliet, B., & Wilson, D. I. (2010). Classifying electricity user profiles: Are we as unique as se think we are?. LeverEdge Ltd & Auckland University of Technology.

  • Wilson, D. (2005). Comparison of Two Industrial Data Loggers (N/A). N/A.

Oral presentations

  • Wilson, D. (2019). Milk treatment optimisation. Auckland, New Zealand. Retrieved from https://www.matlabexpo.com/au/2019.html

  • Wilson, D. (2017). Modelling the Signal Flow path of the CSP. Retrieved from https://irasr.aut.ac.nz/

  • Wilson, D. (2016). Real-Time Quality Control: Status Update. University of Auckland, Auckland New Zealand.

  • Wilson, D. (2016). Why Model? The rationale behind a systematic approach for modelling the Central Signal Processor. AUT University, Auckland.

  • Hunter, T., Russel, N., Wilson, D. I., Depree, N., Munir, T., & Young, B. (2013). Building a real-time quality program for diary. 27th International Forum Process Analytical Technology, IFPAC-2013, Baltimore, Maryland, USA. Retrieved from http://www.ifpacpat.org/

  • Wilson, D. I. (2010). Who’s This Guy Laplace and What’s “s” Equal to Anyway? A Painless Exploration of Dynamic Systems.

  • Wilson, D. I. (2007). Matlab on the move: Data acquisition, GPS & mapping applications. Copthorne Plimmer Towers, Wellington.

  • Wilson, D. I. (2007). Modelling and control of board machines. University of Waikato, Hamilton.

  • Wilson, D. I. (2007). Matlab on the move: Data acquisition, GPS & mapping applications. Heritage Hotel, Auckland.

  • Wilson, D. I. (2006). Rapid prototyping made easy - Using objects in MATLAB. Auckland University of Technology, Auckland.

  • Wilson, D. (2005). An Overview of Optimisation Strategies under Simulink.. Auckland, 25th November Wellington, 23rd November Christchuch 24th November.

  • Wilson, D. (2005). Using Matlab and Simulink for bio-economic modeling in Fishery management.. Ministry of Fisheries, Wellington.

Other outputs

  • Wilson, D. I. (2008). A workshop on Introduction to Matlab, Advanced Matlab & Simulink, and Optimisation with Matlab.

  • Wilson, D. I. (2007). Modern technology and ancient rocks. In Boating New Zealand.

  • Wilson, D. I. (2006). A workshop on Matlab and Simulink for Transpower New Zealand.