Maged Ali

Dr Maged Ali is a Reader in Management and Marketing at the Essex Business School, University of Essex. His research focuses on leveraging big data technologies to provide insights for decision makers across various domains including finance, marketing, environment, social science, and law. His work emphasizes visual representation of data to enhance decision-making processes.

Dr Ali's primary research interests center around Big Data Technologies and Methodologies, with a specific focus on applying these techniques to poverty alleviation and Sustainable Development Goals in Sudan. His current project utilizes Big Data methods to detect regional migration patterns, their causes, and to alert decision makers to potential population displacements. His research spans multiple disciplines, connecting data science with real-world social challenges.

Analysis of Dr Ali's 15 most recent publications reveals a strong focus on big data applications across diverse contexts. His work consistently bridges technical data analysis with practical applications in social, political, and business contexts. Key trends include social media analysis during crises (particularly during the COVID-19 pandemic), cross-cultural studies of technology adoption, and the application of big data to public policy challenges. His research demonstrates an interdisciplinary approach that connects information systems with social sciences, public policy, and business management.

Dr Ali currently supervises two PhD students: Nour Khalaf Lafee Alhammad in Management and Penphatsorn Suwannapornkul in Management Studies. He has previously supervised four successful PhD candidates whose research covered topics including consumer technology use, social media analysis during the pandemic, marketing data science, and consumer behavior. His grant portfolio includes significant funding from Microsoft, Innovate UK, and the Academy of Medical Sciences for projects related to AI, big data analytics, and climate change adaptation.

Dr Ali teaches Marketing and Innovation (BE562) at the University of Essex. His research has attracted multiple grants including a 2025 project with Footprint Digital Ltd developing AI models for search traffic forecasting, a 2024 Academy of Medical Sciences project on climate change adaptation, and multiple Innovate UK Knowledge Transfer Partnerships focusing on AI applications in screening services and media analysis.