Data Analytics for Resource Efficiency
Data Analytics and Resource Efficiency
“To optimise resources through data analytics to drive efficiencies”
To make sense of Big Data through predictive analytics and providing insights.
To develop tools and strategies to reduce energy consumption to an optimal level.
To develop intelligent systems that reduce human effort and improve efficiency and safety.
To support autonomous transport and ride sharing economy for the manufacturing industry.
To support intelligent multi-use of resource and waste in an urban landscape.
Abdi Maye | Manager
Abdi holds an MEng in Aerospace Engineering from Queen Mary University of London. He joined HSSMI in March 2014 as Graduate Engineer in the Virtual Engineering team.
Godfrey Chiu | Engineer
Godfrey holds an MSci in Physics from Imperial College London, and graduated from Maker’s Academy in early 2016. Having gained experience of working in IT infrastructure and services, he is now focused on Full Stack web development.
Shahab Arif | Engineer
Shahab has a BEng (Hons) degree in Electronic Engineering from the University of Huddersfield and a Master’s degree in Embedded Systems. At HSSMI, he has worked on projects ranging from vehicle to grid systems to collaborative robots and roadmaps for digital engineering tools.