معرفی
Dr. Ammar Kamoona is a Researcher at the School of Engineering, RMIT University, specializing in Artificial Intelligence, Machine Learning, and their applications in energy systems, manufacturing, and computer vision. His work focuses on anomaly detection, energy demand prediction, and optimization algorithms. He is open to supervising Masters and PhD students in AI for clean energy and sustainability.
His research outputs span 14 peer-reviewed articles and reports between 2018–2024, including notable contributions to smart grid technologies, photovoltaic power prediction, and defect detection in manufacturing using advanced machine learning frameworks. Notable collaborations involve projects like the 'Optimisation of Behind the Meter DER Generation Assets' funded by C4NET.
Dr. Kamoona’s articles demonstrate a strong trend in applying deep learning and optimization techniques to solve real-world challenges in energy systems and manufacturing safety. His work bridges theoretical advancements in AI with practical industrial applications, emphasizing sustainability and safety.
He holds an ORCID identifier (0000-0002-7441-9344) and can be contacted at ammar.kamoona@rmit.edu.au for supervision or collaboration inquiries.
