Nectarios Costadopoulos

Dr Nectarios Costadopoulos

Gulbali Research Fellow

Gulbali Institute

Biography

As a Gulbali Research Fellow, Nectarios is the lead data scientist for the barley synthesis project funded by the GRDC. With a teaching and research career spanning over two decades, Nectarios has made contributions across various fields, such as web and multimedia technologies, information systems, business intelligence, cyber security and ethics, and machine learning.

In his current project, Nectarios is at the forefront of collating vital agricultural trial datasets, engaging in data discovery, and conducting statistical analysis. His efforts are instrumental in liaising with state and national stakeholders, facilitating the development of publications, and communicating findings to the broader industry. This groundbreaking project marks the first of its kind initiative to consolidate diverse agricultural datasets across the country, covering more than ten years.

With society's growing reliance on data scientists to manage, categorise, and decipher the burgeoning volumes of data, Nectarios’s enthusiasm for the latest trends in data analytics and artificial intelligence stands out. He is deeply interested in the ramifications of these advancements on society and is committed to leveraging AI to unlock deeper insights and foster a better understanding of the data that shapes our world.

Research
  • Artificial intelligence
  • Data science
  • Knowledge discovery
  • Time series data
  • Physiological data
  • Agricultural data
Publications
Full publications list on CRO

Recent Publications

Costadopoulos, N. (2023). Detection of emotional stress from physiological data using wearables. [Doctoral Thesis, Charles Sturt University]. Charles Sturt University.

Costadopoulos, N., Islam, M. Z., & Tien, D. (2021). A knowledge discovery and visualisation method for unearthing emotional states from physiological data. International Journal of Machine Learning and Cybernetics, 12, 843-858. https://doi.org/10.1007/s13042-020-01205-4

Bellamy, C., & Costadopoulos, N. (2019). Building a ‘moral operating system’ for IT students: Pedagogies and problems. 1. Abstract from 9th Annual Australasian Business Ethics Network (ABEN) Conference 2019, Melbourne, Victoria, Australia.

Costadopoulos, N., Islam, Z., & Tien, D. (2019). Data mining and knowledge discovery from physiological sensors. In PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (pp. 468-474). ACM. https://doi.org/10.1145/3316782.3322771

Costadopoulos, N., Islam, Z., & Tien, D. (2019). Discovering Emotional Logic Rules from Physiological Data of Individuals. In Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019 (pp. 468-474). Article 8949274 (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.1109/ICMLC48188.2019.8949274, https://doi.org/10.1109/ICMLC48188.2019.8949274