The University of Derby is a public university and a non-profit research and development organization. It has 2 research institutes, 6 research centres and 11 research groups in various areas. During 2014, the University has been listed as a top 50 university in the UK Guardian league table. It offers a wide range of undergraduate and postgraduate taught and research led degree programmes. Currently the university is home to around 22,000 students in all areas of study.
Research Group Background
The Distributed and Intelligent Systems (DISYS) research centre consists of more than 40 members. Since its inception in late 2010, DISYS has grown and developed from a research group into a formal University Research Centre during 2013. DISYS long-term vision is to progressively develop a sustainable, internationally excellent, research environment, that is highly regarded for societal impact through scholarship, interdisciplinary collaborations, income generation and knowledge contributions in the field of future computing architectures, services and technologies. In particular, the focus is on applicable computing, big data analytics and interoperable, interconnected, distributed, large-scale e-infrastructures such as P2P, Grid, Cloud and Inter-cloud computing, Internet of Things (IoT) and context-aware environments.
Prof. Nik Bessis is the Director of Distributed and Intelligent Systems (DISYS) research centre, a Professor and a Chair of Computer Science in the Department of Computing and Mathematics at University of Derby, UK. His research work is focused on visualization and graphs methods for network and big data analytics as well as on developing data-driven and meta-scheduling dynamic services in IoT and inter-clouds. He has served as a PI/Co-I on several national and international projects. He gave 4 keynote talks and chaired over 40 conferences, tracks and workshops. He has published over 200 papers, won 4 best paper awards and is the editor of 8 books and the Editor-in-Chief of the IJDST. His latest Springer book in IoT and Big Data listed as a top 50 AI book in Amazon.
Major Interest in Action Scientific Topics
- Energy-aware data management
- Graph mining and reduced topologies
- Map reduce and big data analytics
- Energy efficient resource management and scheduling in large-scale systems
- Applications of ultrascale computing