Hind O. Almisbahi is an Assistant Professor at the Information Technology Department at King Abdulaziz University (KAU) in Jeddah, Saudi Arabia. She holds a PhD in Machine Learning and Data Mining from the University of Surrey, UK, where she focused on "Analyzing Graphene Vibrations via Molecular Dynamics Simulations and Dimension Reduction Techniques". She also earned both her MSc and BSc in Computer Science from KAU. Dr. Almisbahi’s research interests include machine learning, deep learning, molecular dynamics simulation, and physics computation. She has authored several publications, exploring topics like heat transfer performance, water recovery systems, and pollution prediction models. Notably, her recent work includes articles on air pollution trends using deep learning and enhancing forecasting accuracy using CNNs and CWT Scalograms. In addition to her research, Dr. Almisbahi has gained teaching experience from KAU. She has supervised senior projects and taught courses in data mining, programming, and software architecture. She has also contributed to various academic services, including curriculum development and accreditation efforts.