Nishan Mills

Orcid: 0000-0003-2157-3767

According to our database1, Nishan Mills authored at least 23 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Addressing hallucinations in generative AI agents using observability and dual memory knowledge graphs.
Knowl. Based Syst., 2026

2025
Robotic Motion Intelligence Using Vector Symbolic Architectures and Blockchain-Based Smart Contracts.
Robotics, April, 2025

Generative AI Agents for Bedside Sleep Apnea Detection and Sleep Coaching.
Mach. Learn. Knowl. Extr., 2025

Generative AI Agents for Hyper Predictive Maintenance of Solar Energy Systems.
Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

2024
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis.
J. Big Data, December, 2024

The Human-Centred Design of a Universal Module for Artificial Intelligence Literacy in Tertiary Education Institutions.
Mach. Learn. Knowl. Extr., June, 2024

A cloud-based architecture for explainable Big Data analytics using self-structuring Artificial Intelligence.
Discov. Artif. Intell., 2024

Large Language Model for Extreme Electricity Price Forecasting in the Australia Electricity Market.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

Addressing the Productivity Paradox in Healthcare with Retrieval Augmented Generative AI Chatbots.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

Multi-Agent RAG Chatbot Architecture for Decision Support in Net-Zero Emission Energy Systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

2023
Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Augmenting Industrial Chatbots in Energy Systems using ChatGPT Generative AI.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

ChatGPT and Generative AI Guidelines for Addressing Academic Integrity and Augmenting Pre-Existing Chatbots.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

2022
A Mental Health Chatbot with Cognitive Skills for Personalised Behavioural Activation and Remote Health Monitoring.
Sensors, 2022

A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions.
Sensors, 2022

Specialist vs Generalist: A Transformer Architecture for Global Forecasting Energy Time Series.
Proceedings of the 15th International Conference on Human System Interaction, 2022

An Artificial Intelligence Framework for the Detection of Emotion Transitions in Telehealth Services.
Proceedings of the 15th International Conference on Human System Interaction, 2022

UNICON: An Open Dataset of Electricity, Gas and Water Consumption in a Large Multi-Campus University Setting.
Proceedings of the 15th International Conference on Human System Interaction, 2022

Cloud Edge Architecture Leveraging Artificial Intelligence and Analytics for Microgrid Energy Optimisation and Net Zero Carbon Emissions.
Proceedings of the 15th International Conference on Human System Interaction, 2022

Cooee: An Artificial Intelligence Chatbot for Complex Energy Environments.
Proceedings of the 15th International Conference on Human System Interaction, 2022

2021
A self structuring artificial intelligence framework for deep emotions modeling and analysis on the social web.
Future Gener. Comput. Syst., 2021

2020
Generating Situational Awareness of Pedestrian and Vehicular Movement in Urban Areas Using IoT Data Streams.
IEEE Internet Things J., 2020


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