Ten peer-reviewed publications (h-index: 11, 80% Q1). Full list on my Google Scholar profile and ResearchGate.
Kamoona A.M., Al Khafaf N., Ali S.M.N., Jalili M., Razzaghi R., Yu X. Impact of electric vehicle adoption on residential load profiles: An Australian case study. Sustainable Energy, Grids and Networks, 102481, 2026. (Q1)
Song H., …, Kamoona A.M. et al. Electricity consumption forecasting for residential sector using temporal co-learning. Applied Energy, 395, 125856, 2026. (Q1)
Kamoona A.M., Lazarevic L., Al Khafaf N., Ali S.M.N., Jalili M., Razzaghi R. Online electric vehicle charging detection based on a memory-augmented transformer architecture. Applied Energy, 377, 124549, 2025. (Q1)
Kamoona A.M., Bab-Hadiashar A., Hoseinnezhad R. Anomaly detection of defect using energy of point pattern features within random finite set framework. Engineering Applications of Artificial Intelligence, 132, 107857, 2024. (Q1)
Al Khafaf N., Kamoona A.M., Zhu J.G., Ali S.M.N., Jalili M. Prediction of photovoltaic power generation. Energy Reports, 9, 2023. (Q1)
Al Khafaf N., Jalili M., Kamoona A.M., Zhu J.G. Machine learning for energy demand prediction. Energy Reports, 9, 2023. (Q1)
Kamoona A.M., Bab-Hadiashar A., Hoseinnezhad R. Multiple instance-based video anomaly detection using deep temporal encoding-decoding. Expert Systems with Applications, 214, 119079, 2023. (Q1)
Kamoona A.M., Bab-Hadiashar A., Hoseinnezhad R. Video anomaly detection using deep temporal encoding-decoding with multi-head attention. Expert Systems with Applications, 205, 117699, 2022. (Q1)
Kamoona A.M., Prayag M.B. Particle swarm optimisation-based approach for multi-objective design. Applied Soft Computing, 2019. (Q1)
Kamoona A.M., Alsaad S.N. An improved chaotic sequence based on neural network and its application to image encryption. Journal of Kufa for Mathematics and Computer, 2018.
Published in Applied Energy (Q1), 2026
A multi-task temporal co-learning framework for residential electricity consumption forecasting.
Recommended citation: Song H., ..., Kamoona A.M. et al. (2026). "Electricity consumption forecasting for residential sector using temporal co-learning." Applied Energy, 395, 125856.
Published in Sustainable Energy, Grids and Networks (Q1), 2026
Australian case study on how growing EV adoption reshapes residential load profiles.
Recommended citation: Kamoona A.M., Al Khafaf N., Ali S.M.N., Jalili M., Razzaghi R., Yu X. (2026). "Impact of electric vehicle adoption on residential load profiles: An Australian case study." Sustainable Energy, Grids and Networks, 102481.
Published in Applied Energy (Q1), 2025
Memory-augmented transformer for online detection of EV charging events from smart-meter time series.
Recommended citation: Kamoona A.M., Lazarevic L., Al Khafaf N., Ali S.M.N., Jalili M., Razzaghi R. (2025). "Online electric vehicle charging detection based on a memory-augmented transformer architecture." Applied Energy, 377, 124549.
Published in Engineering Applications of Artificial Intelligence (Q1), 2024
A Random Finite Set framework using the energy of point-pattern features for defect anomaly detection.
Recommended citation: Kamoona A.M., Bab-Hadiashar A., Hoseinnezhad R. (2024). "Anomaly detection of defect using energy of point pattern features within random finite set framework." Engineering Applications of Artificial Intelligence, 132, 107857.
Published in Expert Systems with Applications (Q1), 2023
A multiple-instance learning approach with deep temporal encoding-decoding for video anomaly detection.
Recommended citation: Kamoona A.M., Bab-Hadiashar A., Hoseinnezhad R. (2023). "Multiple instance-based video anomaly detection using deep temporal encoding-decoding." Expert Systems with Applications, 214, 119079.
Published in Energy Reports (Q1), 2023
A machine learning approach to short- and medium-term energy demand prediction.
Recommended citation: Al Khafaf N., Jalili M., Kamoona A.M., Zhu J.G. (2023). "Machine learning for energy demand prediction." Energy Reports, 9.
Published in Energy Reports (Q1), 2023
Machine learning models for short-term photovoltaic power generation forecasting.
Recommended citation: Al Khafaf N., Kamoona A.M., Zhu J.G., Ali S.M.N., Jalili M. (2023). "Prediction of photovoltaic power generation." Energy Reports, 9.
Published in Expert Systems with Applications (Q1), 2022
Deep temporal encoding-decoding with multi-head attention for video anomaly detection.
Recommended citation: Kamoona A.M., Bab-Hadiashar A., Hoseinnezhad R. (2022). "Video anomaly detection using deep temporal encoding-decoding with multi-head attention." Expert Systems with Applications, 205, 117699.
Published in Applied Soft Computing (Q1), 2019
A particle swarm optimisation approach for multi-objective engineering design problems.
Recommended citation: Kamoona A.M., Prayag M.B. (2019). "Particle swarm optimisation-based approach for multi-objective design." Applied Soft Computing.
Published in Journal of Kufa for Mathematics and Computer, 2018
A neural-network-based chaotic sequence generator applied to image encryption.
Recommended citation: Kamoona A.M., Alsaad S.N. (2018). "An improved chaotic sequence based on neural network and its application to image encryption." Journal of Kufa for Mathematics and Computer.
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf