SPEAKING AT:
Dr. Aisha Abdullah Aldosery is a researcher at the King Abdulaziz City for Science and Technology (KACST), Saudi Arabia, specializing in digital public health, applied artificial intelligence, and data-driven decision support systems. She earned her PhD in Digital Public Health from University College London (UCL), where her work centered on designing, deploying, and evaluating digital surveillance systems for public health, including field deployments in resource-constrained settings. Her current research integrates AI engineering, IoT, and public-health operations, with a focus on developing scalable solutions
using large language models (LLMs), retrieval-augmented generation (RAG), and IoT-enabled data pipelines. She develops early-warning systems and tools for situational awareness, aiming to enhance public health decision-making. Dr. Aldosery leads multidisciplinary projects that combine environmental sensing, mobile data collection, and machine learning, emphasizing infrastructure design, data governance, and operational reliability. She is experienced in coordinating international research collaborations, organizing workshops, and bridging technical AI development with practical public-health
applications.