About

Ahmed K.A. Abdullah is a highly skilled researcher with a passion for data science, machine learning, pattern mining, big data, optimization problems, internet of things, and software engineering. Currently, he is a PhD researcher at the DATA research group within MOBI VUB and is affiliated with the KU Leuven Faculty of Engineering Science as a researcher and member of DTAI KULeuven. Ahmed has gained valuable experience in the field of research, having previously worked as a researcher for the Research Foundation Flanders - FWO and MOBI VUB. He has also completed multiple degrees, including a Doctor of Philosophy in Engineering Science from KU Leuven and a Doctor of Philosophy in Hybrid Predication and Optimization from Vrije Universiteit Brussel. Additionally, he holds a Master of Applied Computer Science from Vrije Universiteit Brussel and a Bachelor of Science in Computer Techniques Engineering from Al-Rafidain University College. Ahmed is a skilled research scientist and data scientist who has honed his skills over the course of his 3.12 years of relevant experience. He is well-versed in machine learning and has a strong understanding of the underlying principles and algorithms. He is also proficient in software engineering and has experience working with large datasets and optimization problems. Overall, Ahmed is a highly skilled researcher with a strong background in data science, machine learning, and software engineering. He is passionate about his work and is committed to making meaningful contributions to the field.