Dr Akbar Ghobakhlou

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Lecturer

Phone: +64 9 921 9999 xtn 9562

Email: akbar.ghobakhlou@aut.ac.nz

Physical Address:
AUT Tower, Level 6,
2 – 14 Wakefield St,
Auckland 1010

Postal Address:
SCMS (D-75)
Auckland University of Technology
Private Bag 92006,
Auckland 1142 NZ

Links to relevant web pages:
https://trc.aut.ac.nz/people/academic-staff

Qualifications:

BSc (Hons), University of Otago, New Zealand
PhD, University of Otago, New Zealand

Memberships and Affiliations:

Member of Institute of Electrical and Electronics Engineers (IEEE)
Current Chair of IEEE Instrumentation and Measurement Society (I&M)
Member – Internet of Things Community

Biography:

Dr Akbar Ghobakhlou is a lecturer in Department of Computer Science. His current research is focused around sensor data, sensor applications and wireless sensor networks (WSN). He has been involved in a number of research projects including WSN management, environmental monitoring, climate and atmospheric measurement and instrumentation.

He is the current Chair of IEEE Instrumentation and Measurement Society (I&M) New Zealand chapter.

Teaching Areas:

  • Data Structures and Algorithms
  • Foundation of Information Sciences
  • GeoComputation 

Research Areas:

  • Machine Learning and Pattern Recognition
  • Evolving Connectionist Systems
  • Applications of Wireless Sensor Networks

Publications:

Book Chapter

Ghobakhlou, A., & Inder, S. (2017). WSN in Conservation Management. In P. Sallis (Ed.), Wireless Sensor Networks - Insights and Innovations. Croatia: InTechOpen. doi:10.5772/intechopen.70383

Recent Journal and Conference Publications

Ghobakhlou, A., Zandi, S., & Sallis, P. (2017). Modelling Climate Data Factors Influencing Fine-Particulate Matter Density in the Near-Ground Atmosphere. In 11th   International Conference on Mathematical Modelling and Computer Simulation. Kota Kinabalu, Sabah, Malaysia.

Ghobakhlou, A., Wang, X., Sallis, P., Inder, S., & Blok, S. (2016). Using WSN for possum management. In Proceedings of the International Conference on Sensing Technology, ICST Vol. 2016-March (pp. 689-693). IEEE Computer Society. doi:10.1109/ICSensT.2015.7438485

Ghobakhlou, A., Amir, F., & Sallis, P. (2016). Leaf wetness sensors - A comparative analysis. In Proceedings of the International Conference on Sensing Technology, ICST Vol. 2016-March (pp. 420-424). Auckland, New Zealand. doi:10.1109/ICSensT.2015.7438434

Zandi, S., Whalley, J., Sallis, P., & Ghobakhlou, A. (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

Ghobakhlou, A., Amir, F., Whalley, J., & Sallis, P. (2015). Estimation of Leaf Wetness Duration Using Adaptive Neuro-Fuzzy Inference Systems. In 21st International Congress on Modelling and Simulation (MODSIM2015) (pp. 7 pages). Broadbeach, Queensland, Australia: Modelling and Simulation Society of Australia and New Zealand. Retrieved from http://www.mssanz.org.au/modsim2015

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.

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., Zandi, S., & Sallis, P. (2011). Development of environmental monitoring system with wireless sensor networks. In F. Chan, D. Marinova, & R. S. Anderssen (Eds.), The 19th International Congress on Modelling and Simulation (MODSIM2011) (pp. 1125-1131). Perth, Australia. Retrieved from http://mssanz.org.au/modsim2011

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.), The 19th International Congress on Modelling and Simulation (MODSIM2011) (pp. 1153-1159). Perth, Australia: Modelling and Simulation Society of Australia and New Zealand. Retrieved from http://www.mssanz.org.au/modsim2011