Published 160 papers, cited 2,011 times; contributed to research on smart onboard transportation management systems; also participated in enhancing credit card fraud detection using hybrid machine learning models with federated learning prospects among others.
Research Experience
Has served as a researcher and data product engineer in multiple European research projects; was a Research Fellow with Pervasive Technologies Research Group, ISMB.
Education
Specific educational background details are not provided.
Background
Data Scientist, Assistant Professor at the College of Engineering and IT, University of Dubai. He is a big data evangelist and certified trainer with over 15 years of experience in teaching, research, and product development. His research focuses on evaluating the performance of big data platforms and data science algorithms, developing curricula for data science, AI, business intelligence, and IoT (his post-doc focus). He has been involved in several European research projects as a researcher and data product engineer.
Miscellany
Skills and expertise include NFV, mobile operators, 3G/4G, cloud, etc.