Eiman Kanjo

Eiman Kanjo is a British computer scientist and engineer. She is professor of pervasive sensing at Nottingham Trent University. Her research considers the development of wireless sensing technologies. She was named as one of the Top 50 Influential Women in Engineering in 2022. She joins Imperial College London as Provost's Visiting Professor, October 2023.

Early life and education
Her doctorate considered vision-based interactive toys. After earning her doctorate, Kanjo moved to the University of Nottingham, where she developed mobile sensing technologies, which harnessed the power of smart phones to track health, social and environmental information. She continued to build smart sensing devices at the University of Cambridge.

Research and career
Eiman directs the Smart Sensing Lab at Nottingham Trent University. Here she builds systems and digital capabilities for social good. This includes developing wearable technologies and devices for assessing their environment. Her sensors can be attached to the smart phones of cyclists to monitor air pollution uncover the environmental contributors to asthma attacks and monitor how the hustle and bustle of cities impacts physical health. However, she warned against the damaging impacts of smartphones, explaining that notifications can cause a downturn in mood

Kanjo developed a platform, Tag With Me, that provided location-based guidance and an interactive treasure hunt to allow visitors to explore parks and cultural destinations. Tag With Me was used by the Sherwood Forest in their 5G Connectivity project.

She believes her smart sensor networks could be used to monitor mental health in real time, and argued that digital platforms could have helped people find support during the COVID-19 pandemic.

In 2022, Kanjo was named as one of the Top 50 Influential Women in Engineering. She moved to Imperial College London as a visiting professor in 2023.

Awards and honours

 * 2021 Vice-chancellor's Outstanding Researcher Team Award
 * 2022 Top 50 Influential Women in Engineering