Mario Palendeng

Accepting PhD Students

20142018
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Personal profile

Research interests

Dr. Mario E. Palendeng is currently a research associate in the North Australian Centre for Oil and Gas (NACOG) - College of Engineering, IT and Environment specialising in process data analytics. His research interests are in the areas of big data analytics, data mining, machine learning in oil and gas industry and other areas, and application of signal processing for non-invasive patient monitoring. Mario holds a PhD degree in electrical and electronics engineering.

Education/Academic qualification

PhD, University of Queensland

Fingerprint Dive into the research topics where Mario Palendeng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Near infrared spectroscopy Engineering & Materials Science
Meats Engineering & Materials Science
Electroencephalography Engineering & Materials Science
Anesthesia Medicine & Life Sciences
Infrared radiation Engineering & Materials Science
Electronics engineering Engineering & Materials Science
Patient monitoring Engineering & Materials Science
Electrical engineering Engineering & Materials Science

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Research Output 2014 2018

  • 2 Conference Paper published in Proceedings
  • 1 Article

Estimation of cattle age using visible-near-infrared scans of hides

Alvarenga, T. I. R. C., Palendeng, M., Hopkins, D., Fowler, S., McGilchrist, P. & Thennadil, S., 2018, International Congress of Meat Science and Technology. 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Open Access
Infrared radiation

Estimation of meat tenderness using visible-near-infrared spectroscopy

Alvarenga, T. I. R. C., Palendeng, M., Hopkins, D., Fowler, S., McGilchrist, P. & Thennadil, S., 2018, International Conference on Meat Science and Technology. 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Open Access
Near infrared spectroscopy
Meats

Real-time depth of anaesthesia assessment using strong analytical signal transform technique

Palendeng, M. E., Wen, P. & Li, Y., Dec 2014, In : Australasian Physical and Engineering Sciences in Medicine. 37, 4, p. 723-730 8 p.

Research output: Contribution to journalArticleResearchpeer-review

Electroencephalography
Anesthesia
Frequency bands
Monitoring