Higher Degree Graduates and Postdoctoral Fellows in UniSQ's Artificial Intelligence Applications Laboratory

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HIGHER DEGREES BY RESEARCH PhD & Research Masters Graduates

UniSQ's Artificial Intelligence Applications Laboratory had over 37 graduations of higher degree by research (PhD, Masters, Coursework Project) students.

Our students came from various countries and nationalities including Australia, Asia, and the Pacific region. These students were funded through a range of awards such as UniSQ International and Domestic Scholarships, Australian Government Australia Awards (DFAT) Scholarships and Australian Defence Department.

A number of graduate students have received excellence awards for best thesis, had industry placement experience through Australian Postgraduate Research Internships, and published a number of high quality journal and conference papers.

See Student Publications for Details.

Dr Kavina S Dayal: Current Position: Research Scientist - ABARES PhD : Drought Risk Modelling, First Graduate (2018)	Dr Thong Nguyen: Current Position: Postdoctoral Research Fellow (UniSQ) PhD : Agricultural Modelling (2019) Award of Excellence in Doctoral Research for Best Thesis	Dr Ramendra Prasad: Current Position: Senior Lecturer (The University of Fiji) PhD : Soil Moisture Forecasts (2019)
Dr Mumtaz Ali: Current Position: Lecturer (UniSQ) PhD: AI-based Crop Modelling (2019) Award of Excellence in Doctoral Research for Best Thesis	Dr Sujan Ghimire: Current Position: Adjunct Lecturer (UniSQ) PhD: Solar Energy Modelling (2019) Award of Excellence in Doctoral Research for Best Thesis	Dr M Al-Musaylh: Current Position: Southern Technical University PhD : Electricity Demand Model (2020): Industry $26,000 ABS Award of Excellence in Doctoral Research for Best Thesis
Dr Ghazal Bargshady: Current Position: Lecturer in Data Science (University of Canberra) PhD : AI-based Pain Prediction (ARC Linkage) (2020)	Dr A. A. Masur Ahmed Current Position: Postdoctoral Fellow (The University of Melbourne) PhD : AI-based Hydrological Prediction (2022) Industry Placement Grant $26,000: CS Energy Award of Excellence in Doctoral Research for Best Thesis	Dr Ekta Sharma Current Position: Vice Chancellor's Fellow (UniSQ) National Intelligence Fellow - Office of National Intelligence PhD : Air Quality Prediction (2022), Industry $26,000: Defence Award of Excellence in Doctoral Research for Best Thesis
Dr Salvin Prasad Current Position: Lecturer - FNU PhD: Solar Ultraviolet Index Prediction (2022)	Dr Rosa Prahl Current Position: Postdoctoral Fellow, CSIRO PhD: Bioinformatics (2022)	Dr Yen Pham Current Position: Postdoctoral Fellow, CSIRO PhD: Agricultural Risk Modelling (2021)

Dr Lakmini Jayasinghe PhD: Evaporation Prediction with Artificial Intelligence (2022)	Dr Farina Riyaz Current Position: Postdoctoral Research Fellow - CSIRO Data61 PhD: Quantum Machine Learning (2022)	Cherie O'Sullivan PhD: Water Quality Modelling (2022)
Dr Hanan Hammoodi Al-Hadeethi PhD : AI Brain Disorder Modelling (2021)	Ms Anh Huynh (Ella) MSCR : Solar Energy Short-Term Predictions (2021)	Mr Tobias Kumie Master Research: AI-based Demand Prediction (2021)
	Mr Ananta Neupane Current Position: Researcher (UniSQ) Master Research : AI-based Wind Speed Prediction (2020)	Kingsten Okka: Current Position: Bio-security Officer Master Research: AI-Rainfall Modelling (2020)
Dr David Johnston PhD : Crop Modelling (2022)
Mr Mohammed Moishin AI-based Flood Prediction (2021) Award of Excellence in Masters Research for Best Thesis
*POSTGRADUATE COURSEWORK DISSERTATIONS*

Shobna Prasad MSCN (Thesis with Distinction): Support Vector Machine Model For Wind Speed	Dilki Balalla MSCN (Thesis with Distinction): MARS for Global Solar Radiation	John Worral MSCN (Thesis with Distinction): ANFIS model for stock market

Neelesh Sharma MSCN (Thesis with Distinction): Wind Speed Forecasting Using Self Organizing Map	Harshna Gounder MSCN (Thesis with Distinction): Photosynthetic Active Radiation Modelling	Bhuwan Chand MSCN (Thesis with Distinction): Heat Modelling with Artificial Intelligence

Sagthitharan Karalasingham MSCN (Thesis with Distinction): Short-Term Electrical Energy Demand Prediction	Theo Prinsloo MSCN: Deep learning for prediction of compression strength	Vincent Currie MSCN: Energy Demand Prediction with Deep Learning

Simon Railey MSCN: Photosynthetic Radiation Modelling with Artificial Intelligence	Chris Davey MSCN (with Distinction): Down-scaling Global Climate Model for Renewable Energy	Ilias Ibrahim MSCN: Energy Demand Prediction with Deep Learning
Justin Ross MSCN : Air Quality Predictions	Caitlin Nicholas MSCN (with Distinction): Energy Queensland Industry project Topic: Estimation of Rooftop Solar Photovoltaic Power Generation for Electricity Distribution Networks in Queensland	Christopher Stritch MSCN : Solar UV Predictions
Shehzad Tahir MSCN : Prediction of Australian GDP

VISITING RESEARCH AND SUMMER SCHOLARSHIP STUDENTS

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Assistant Professor Laura Cornejo-Bueno, who now works at Rey Juan Carlos University. Dr Cornejo-Bueno was a Visiting PhD Research student at University of Southern Queensland (Australia) coming from Universidad de Alcalá in Spain.

Supervisor: Prof Ravinesh Deo (USQ) and Prof Sancho Salcedo-Sanz (Universidad de Alcalá).

Research Outcome:

1. Salcedo-Sanz S., Deo RC, Cornejo-Bueno L., Camacho-Gomez C., Ghimire S. (2017). An efficient neuroevolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in Sunshine State of Australia. Applied Energy. 209(79-94).

Reza Shanawaz, 2017

Funded by USQ Summer Scholarship (ReDTrain program) Reza Shanawaz was supervised by Associate Professor Ravinesh Deo and Dr Nathan Downs.

Harshna Gounder, 2018

Funded by USQ Summer Scholarship (ReDTrain program) Harshna Gounder was supervised by Associate Professor Ravinesh Deo.

Sagthitharan Karalasingham, 2019

Funded by USQ Summer Scholarship (ReDTrain program) Sagthitharan Karalasingham was supervised by Associate Professor Ravinesh Deo.

Graduates of UniSQ's Artificial Intelligence Applications Laboratory

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