Brent Young
professor of food process engineering at University of Auckland in New Zealand
Facts
15 properties- Instance of
- human
- Country of citizenship
- New Zealand[2]
- Occupation
- food engineer
- Position held
- full professor[3]
- Educated at
- University of Technology Sydney, University of Canterbury, University of Canterbury[5][6]
- Doctoral advisor
- Maurice Allen[7]
- Doctoral student
- Asma Khan, Jonathan Currie, Teck Nam Ang, Sinemobong Essien, Bing Li, Matthew Proctor, Mohadeseh Sharifi, Ehsan Shirkavand, Heng Jin Tham, Isuru A Udugama, Isaac Severinsen, Dengting Guo[10][11][12][13][14][15][16][17][18][19][20][21]
- Academic degree
- Doctor of Philosophy[22]
- On focus list of Wikimedia project
- NZThesisProject[27]
- Student
- Nurzhan Nursultanov[8]
🏷️ Also known as
en Brent Richmond Young
en Brent R. Young
en Brent Young
en B. R. Young
🔖 Identifiers · 4
- ORCID iD
- 0000-0002-5947-955X
- OpenAlex ID
- A5000158706
- Google Scholar author ID
- 63KC0XoAAAAJ
- Yale LUX ID
- person/6cc425ae-7cf8-4b5e-aab6-610826d4bc2a
🔗 Connections
Author of 13
A comparison of a novel robust decentralised control strategy and MPC for industrial high purity, high recovery, multicomponent distillation,
Adaptive digital twins for energy-intensive industries and their local communities,
Application of mechanistic modelling and machine learning for cream cheese fermentation <scp>pH</scp> prediction,
Artificial neural network modelling for cream cheese fermentation pH prediction at lab and industrial scales,
A Systematic Methodology for Comprehensive Economic Assessment of Process Control Structures,
A techno-economic-societal assessment of recovery of waste volatile anaesthetics,
Effects of morphology on the dispersibility of instant whole milk powder,
Flipped classroom with cooperative learning as a cornerstone
+5 more
← Authored by 13
A comparison of a novel robust decentralised control strategy and MPC for industrial high purity, high recovery, multicomponent distillation,
Adaptive digital twins for energy-intensive industries and their local communities,
Application of mechanistic modelling and machine learning for cream cheese fermentation <scp>pH</scp> prediction,
Artificial neural network modelling for cream cheese fermentation pH prediction at lab and industrial scales,
A Systematic Methodology for Comprehensive Economic Assessment of Process Control Structures,
A techno-economic-societal assessment of recovery of waste volatile anaesthetics,
Effects of morphology on the dispersibility of instant whole milk powder,
Flipped classroom with cooperative learning as a cornerstone
+5 more
Affiliated with 2
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