Ali Anaissi

Dr Ali Anaissi is a researcher at The University of Sydney, affiliated with the CS department. His research interests include data mining and knowledge discovery, semi- and unsupervised learning, and applications in health, social sciences, education, artificial intelligence, control engineering, mechatronics and robotics, bioinformatics and computational biology, electrical engineering, and applied computing. His profile page highlights work in discovery, though specific details are not provided.

Ali Anaissi, affiliated with The University of Sydney, focuses on Machine Learning, IoT, Federated Learning, and Tensor Analysis. His research explores applications of machine learning in healthcare, such as gene selection from microarray data and biomarker identification in gastric cancer. He also investigates smart infrastructure maintenance using incremental tensor analysis and develops frameworks for trust management in spatial crowdsourcing drone services. Anaissi's work includes adversarial attack detection in anomaly detection systems and multimodal sentiment analysis using textual and video data fusion. His research bridges machine learning with IoT and structural health monitoring, emphasizing real-world applications.