Conferences Aligned to SDGs
We do this through active participation in local, national and global conferences involving government and non-governmental organisations. In addition to this, our researchers, academics and staff collaborate in international research projects and learning initiatives that address the SDGs.
Explore our work in cross-sectorial dialogue about the SDGs below.
Participation in Conferences Aligned to the SDGs
We purposefully and actively participate in conferences and events aligned to the Sustainable Development Goals (SDGs) throughout the year to have an open and robust dialogue addressing SDGs with our communities and stakeholders.
Our researchers and academics present their research efforts and projects at conferences locally, nationally and internationally.
In this section, you can explore the conference activities of our academics, researchers and staff, in particular, those that are aligned to the SDGs.
Narayanan, R., Bhattarai, S., Tram, V.H. and Hunter, L. presented a paper titled ‘Adapting grain crop seed threshing equipment for processing sesame for streamlining the mechanisation of post-harvest operations’ at the 5th International Conference on Agricultural Technology.
Farid, F., Bello, A., Ahamed, F., Hossain, F., Sabrina, F.and Sohail, S. presented a paper titled ‘AI Technologies in Reducing Hospital Readmission for Chronic Diseases: A Recommended Framework’ at the 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS)
Burgos, D., Morshed, A., Rashid, M.D.M. and Mandala, S. presented a paper titled ‘A Comparison of Machine Learning Models to Deep Learning Models for Cancer Image Classification and Explainability of Classification’ at the 2024 International Conference on Data Science and Its Applications (ICoDSA)
Humayun, S., Mahmood, T. and Morshed, A. presented a paper titled ‘A Multi-Objective Feature Selection Framework for Breast Cancer Data Using Evolutionary Methods’ at the 2024 IEEE Conference on Engineering Informatics (ICEI)
Jayawardena, A., Kahandawa, G., Hewawasam, H., Piyathilaka, L. and Sul, J. presented a paper titled ‘Navigating the New Normal: Student Perspectives on Transitioning from Online to Face-to-Face Learning After COVID-19 Lockdowns’ at the 2024 IEEE World Engineering Education Conference (EDUNINE)
Hillman W; Radel K presented a paper titled 'Disrupting Poverty in Nepal : Women’s Journeys of Emancipation' at the 12th International Conference On ‘Sustainable Tourism & Development: Risks and Opportunities in Uncertain Times held in Pokhara, Nepal from 9-11 October 2023.
Regmi, S. and Das, N. presented a paper titled ‘Solar Powered Smart Irrigation System with Battery Backup for Maximum Output Power in Rural Areas by Solar Angle Optimization’ at the 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC)
Mondal, S., Hosain, M.K., Biswas, S.P., Nath, J., Islam, M.R., Mahmud, P. and Das, N. presented a paper titled ‘Performance Improvement of Grid-Tied Cascaded H-Bridge Inverter Using Advanced Single-Carrier PWM Scheme’ at the 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC)
Nahin, N.I., Hossain, M.A., Nath, J., Biswas, S.P., Islam, M.R., Mahmud, P. and Das, N. presented a paper titled ‘Comparative Performance Investigation of Control Techniques for Solar PV Fed Induction Motor Drives’ at the 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC)
Natalie, E., Ritesh, C. and Olav, M. presented a paper titled ‘Exploring empathy in project management: Workplace narratives inspiring reflection and discussion’.
Governatori, G., Amantea, I.A., Quaranta, M., Molinari, M., Vagnoni, S., Ferraris, A.F., Contissa, G., Palmirani, M., Busso, M. and Grosso, M. presented a paper titled ‘Fair Shifts by the Rule: a Rule-based Compliance Methodology for Medical Rosters’ at the CEUR Workshop Proceedings
Gusman, E., Gide, E., El Khodr, M. and Chaudhry, G. presented a paper titled ‘The Benefits and Challenges of Using Artificial Intelligence in Teaching English as a Foreign Language in Higher Education’ at the 2024 21st International Conference on Information Technology Based Higher Education and Training (ITHET)
Wijikumar, P., Partheepan, S., Hassan, J., Sanati, F. and Ray, B.R. presented a paper titled ‘Bushfire Severity Prediction Optimization: Feature Combination Study with XGBoost Regression and Satellite-Derived Data’ at the 2024 17th International Conference on Security of Information and Networks (SIN)
Roy, R.B., Alahakoon, S. and Rensburg, P.J.V. presented a paper titled ‘Optimal Capacities of Electric Ferry Charging Stations by Hybrid Metaheuristic Algorithm’ at the 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC)
Andeobu, L., Wibowo, S. and Grandhi, S. presented a paper titled ‘Assessing the Impact of Consumer Recycling Behavior on the Adoption of Sustainable Electronic Waste Management Practices in Australia’ at the 2024 IEEE/ACIS 27th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
Mandac, L.E., Das, N. and Islam, M.R. presented a paper titled ‘Maximizing Solar PV Utilization in EV Charging Stations: An Intelligent Scheduling and Load Balancing Approach’ at the 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC)
Milano, J., Tiong, S.K., Silitonga, A.S., Chia, S.R., Ong, M.Y., Kusumo, F., Sebayang, A.H., Yusof, T. and Kalam, M.A. presented a paper titled ‘Synthesis of Ceiba pentandra biodiesel using ultrasound and infrared radiation: Comparison and fuel characterisation’ at the IOP Conference Series: Earth and Environmental Science
Ong, M.Y., Nomanbhay, S., Rosman, C.U.A.A.C., Yusaf, T. and Silitonga, A.S. presented a paper titled ‘Hydrochar production through co-hydrothermal carbonization of water hyacinth and plastic waste’ at the International Conference on Sustainable Energy and Green Technology
Garro, R., Wilson, C., Swain, D., Pordomingo, A. and Wibowo, S. presented a paper titled ‘Enhancing Carcass Yield Prediction in Angus Cattle Feedlots: A Comparative Analysis of Machine Learning Models’ at the 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS)
