Rate My Professor Bisan Alsalibi

Dr. Alsalibi's research expertise encompasses artificial intelligence, machine learning, computer vision, optimization, and membrane computing. She specializes in developing novel bio-inspired optimization algorithms, particularly those drawing from biological cell membrane structures, to address real-world challenges such as feature selection, face recognition in unconstrained environments, and emotion detection from images and text. Notable projects include "Unleashing Emotions: Membrane-Inspired Fusion for Unconstrained Image and Text Emotion Detection," which integrates natural language processing, deep learning, and membrane-inspired optimization. Her key publications feature "A novel bat algorithm with dynamic membrane structure for optimization problems" in Applied Intelligence (2021), "A Comprehensive Survey on the Recent Variants and Applications of Membrane-Inspired Evolutionary Algorithms" in Archives of Computational Methods in Engineering (2022), "A parallel hybrid krill herd algorithm for feature selection" in International Journal of Machine Learning and Cybernetics (2021), "A membrane-inspired bat algorithm to recognize faces in unconstrained scenarios" in Engineering Applications of Artificial Intelligence (2017), and "Lightning search algorithm: a comprehensive survey" in Applied Intelligence (2021). Dr. Alsalibi has received the NVIDIA Academic Grant Program Award in 2025. She currently supervises honours and masters projects on topics such as causal uplift modelling for targeted marketing, trustworthy medical diagnosis via causal machine learning and graph neural networks, and distribution-robust medical imaging models.