Steve Uhlig

Steve Uhlig obtained a Ph.D. degree in Applied Sciences from the University of Louvain, Belgium, in 2004. Prior to joining Queen Mary, he was a Senior Research Scientist with Technische Universität Berlin/Deutsche Telekom Laboratories, Berlin, Germany. Starting in January 2012, he is the Professor of Networks and Head of the Networks Research group at Queen Mary, University of London. Between 2012 and 2016, he was a guest professor at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. Current Research interests: Internet measurements, software-defined networking, content delivery.

Publications

Enhancing Student Learning, Engagement, and Employment Through Inclusive Curriculum Design
Sukhpal Singh Gill, Usman Naeem, Rupinder Kaur, Stephanie Fuller, Anastasios Tombros, Steve Uhlig. © 2024. 24 pages.
The diverse student body at Queen Mary University of London requires an effective approach to ensure equal opportunity in higher education. This includes promoting equality...
An Operating System Session Plan Towards Social Justice and Intercultural Development in Microteaching for Higher Education
Sukhpal Singh Gill, Stephanie Fuller, Ana Cabral, Yue Chen, Steve Uhlig. © 2023. 18 pages.
Microteaching has been successful in developing teaching practices of both novice and more experienced educators and in enhancing student learning. At Queen Mary University of...
Curriculum Redesign for Cloud Computing to Enhance Social Justice and Intercultural Development in Higher Education
Sukhpal Singh Gill, Stephanie Fuller, Ana Cabral, Yue Chen, Steve Uhlig. © 2023. 19 pages.
As a result of the COVID-19 pandemic, teaching on a Cloud Computing module with more than 100 students based in different locations was moved online. In order to maintain student...
Facilitating an Online and Sustainable Learning Environment for Cloud Computing Using an Action Research Methodology
Sukhpal Singh Gill, Ana Cabral, Stephanie Fuller, Yue Chen, Steve Uhlig. © 2023. 28 pages.
In this chapter, a research plan is presented to investigate online teaching and evaluation analysis for cloud computing using an action research methodology to enable...