Dr Samuel Chinenyeze
currently works with software industries focusing on designing and architecting Cloud SaaS applications. He completed his PhD research at CAVES
, where he worked on green (resource and energy-efficient) architectural model for mobile cloud applications (MCA).
PhD Thesis. Mango: A Model-driven Approach to Engineering Green Mobile Cloud Applications.
PhD Frameworks (open-sourced from Mango).
- Mosaic (documentation in progress)
Samuel also holds an MSc in Advanced Software Engineering from Edinburgh Napier University, and a BSc (First class honours) degree in Computer Science from Benson Idahosa University, Nigeria. He has a vast commercial and academic experience working on software projects using industrial standards. His core area of expertise revolves around the development of dynamic and pervasive enterprise software systems (for the web and mobile platforms) using leading technologies.
Themes & research interests: green software, mobile cloud architecture, software architectures, dynamic optimisation.
Al-Dubai, A. (2017). BEFTIGRE: Behaviour‐driven full‐tier green evaluation of mobile cloud applications. Journal of Software: Evolution and Process, 29, (2), .
Al-Dubai, A. (2016). DEEPC: Dynamic Energy Profiling of Components. In: (Ed.) 10th IEEE International Workshop on Quality-oriented Reuse of Software (QUORS’16) in conjunction with the 40th IEEE International Conference on Computers, Software & Applications (COMPSAC 2016), , () ( ed.). (pp. ). Georgia, USA: . .
Al-Dubai, A. (2014). An Aspect Oriented Model for Software Energy Efficiency in Decentralised Servers. In: (Ed.) 2nd International Conference on ICT for Sustainability (ICT4S 2014), , () ( ed.). (pp. ). Stockholm, Sweden: . Atlantis Press.
Chinenyeze, S. (2014). OPENsenima - Open Source Energy Interceptors for Mobile Apps (Guest Technical Presentation). In: (Ed.) Presentations in 2nd GreenCode Lab Euro Conference, , () ( ed.). (pp. ). Paris, France: . .
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