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.

Our Offerings

Application
Development

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Dynamic Resource
Monitor
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Market Reasearch &
Analysis
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Our Team

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.