Alexis Pang

Scaffolding student reconnection with instructors and their peers using Perusall

Helena Bender, Alexis Pang

Journal article  |  2022  |  ASCILITE Publications

Rapid shifts to hybrid and fully-online learning driven by COVID-19 have reduced opportunities for face-to-face learning interacti..

Rapid Detection of Rice Adulteration Using a Low-Cost Electronic Nose and Machine Learning Modelling

Aimi Aznan, Claudia Gonzalez Viejo, Alexis Pang, Sigfredo Fuentes

Conference Proceedings  |  2022  |  ECSA-9

Rapid Detection of Fraudulent Rice Using Low-Cost Digital Sensing Devices and Machine Learning

Aimi Aznan, Claudia Gonzalez Viejo, Alexis Pang, Sigfredo Fuentes

Journal article  |  2022  |  SENSORS

Rice fraud is one of the common threats to the rice industry. Conventional methods to detect rice adulteration are costly, time-co..

Rapid Assessment of Rice Quality Traits Using Low-Cost Digital Technologies

Aimi Aznan, Claudia Gonzalez Viejo, Alexis Pang, Sigfredo Fuentes

Journal article  |  2022  |  FOODS

Aroma and other physicochemical parameters are important attributes influencing consumer perception and acceptance of rice. Howeve..

Microwave Soil Treatment Alleviates Arsenic Phytotoxicity and Reduces Wheat Grain Arsenic Concentration

Mohammed Humayun Kabir, Graham Brodie, Dorin Gupta, Alexis Pang

Book Chapter  |  2022

Arsenic (As) contamination in soil and accumulation in food crops has raised much concern worldwide due to its phytotoxicity and p..

Evaluation of Random Forests (RF) for Regional and Local-Scale Wheat Yield Prediction in Southeast Australia

Alexis Pang, Melissa WL Chang, Yang Chen

Journal article  |  2022  |  SENSORS

Wheat accounts for more than 50% of Australia's total grain production. The capability to generate accurate in-season yield predic..

Microwave Soil Treatment along with Biochar Application Alleviates Arsenic Phytotoxicity and Reduces Rice Grain Arsenic Concentration

Mohammad Humayun Kabir, Graham Brodie, Dorin Gupta, Alexis Pang

Journal article  |  2021  |  ENERGIES

Rice grain arsenic (As) is a major pathway of human dietary As exposure. This study was conducted to reduce rice grain As concentr..

Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies

Aimi Aznan, Claudia Gonzalez Viejo, Alexis Pang, Sigfredo Fuentes

Journal article  |  2021  |  SENSORS

Rice quality assessment is essential for meeting high-quality standards and consumer demands. However, challenges remain in develo..

Digital Smoke Taint Detection in Pinot Grigio Wines Using an E-Nose and Machine Learning Algorithms Following Treatment with Activated Carbon and a Cleaving Enzyme

Vasiliki Summerson, Claudia Gonzalez Viejo, Damir D Torrico, Alexis Pang, Sigfredo Fuentes

Journal article  |  2021  |  FERMENTATION-BASEL

The incidence and intensity of bushfires is increasing due to climate change, resulting in a greater risk of smoke taint developme..

Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling

Vasiliki Summerson, Claudia Gonzalez Viejo, Alexis Pang, Damir D Torrico, Sigfredo Fuentes

Journal article  |  2021  |  MOLECULES

Wine aroma is an important quality trait in wine, influenced by its volatile compounds. Many factors can affect the composition an..