Wael Rashwan is a Lecturer in Data Analytics at Technological University Dublin (TU Dublin) with over 15 years of experience in data analytics, optimization and machine learning. He holds a PhD in Operations Research and Optimization from TU Dublin and first-honour degrees in computer science, and M.Sc. in Operations Research from Cairo University, Egypt. Wael has a wide range of experience in both academia and industry, having managed and led data analytics projects as a Principal Investigator at the EI/IDA-funded CeADAR Centre for applied data analytics and AI. He is a researcher and leader at 3S Group, TU Dublin, heading the healthcare analytics track, directing analytics projects and leading collaboration with industry partners. Also, he is a Principal Investigator at Explainable AI Group (XAG), responsible for leading and managing the research projects and activities carried out by the group, obtaining funding and disseminating findings. He is particularly interested in developing solutions and theories to support and address decision-making in uncertain and complex environments using his research areas, particularly machine learning, predictive/prescriptive modelling, explainable AI, simulation/optimization, and healthcare. Wael is also actively working on various business and industry projects to improve operations and increase efficiency. He is also actively publishing papers in these areas in top-tier journals and conferences, showing the impact of his research in the field.

Current research focuses:

machine learning, predictive/prescriptive modelling, explainable AI, simulation/optimization, and healthcare