Sandra Sampaio

Sandra Sampaio is a Lecturer in Information Management at the University of Manchester, actively contributing to research in data science and intelligent transportation systems. Her work bridges technical computing with practical applications in environmental sustainability and traffic management.

Dr. Sampaio's research focuses on vehicular edge computing, resource allocation algorithms, and data wrangling techniques. Her work demonstrates particular expertise in applying computer vision to environmental monitoring and developing anomaly detection systems for traffic management. Her research portfolio shows a consistent trajectory toward solving complex problems at the intersection of data science and real-world transportation challenges.

Analysis of her recent publications reveals a strong emphasis on practical applications of AI in transportation systems, with multiple papers addressing resource allocation in vehicular networks and edge computing environments. Her work shows increasing sophistication in handling spatial-temporal data patterns and developing efficient computational approaches for real-time traffic analysis.

• DRES ME - Data science to Recycle textiles for Environmental Sustainability - Manchester Engagement Study (2022)
• Dynamic Resource Management for Intelligent Transportation System Applications (2022)

Dr. Sampaio has supervised multiple research projects and students, with evidence of collaborative work across disciplines. Her research has received notable external funding and recognition, including significant awards related to environmental sustainability and transportation systems. She maintains active collaborations with researchers across multiple institutions, particularly with Pedro Sampaio at the University of Manchester.