Meet our experts in sustainable digital solutions

We bridge academia and business, leveraging diverse expertise to advance technology and sustainability through collaborative solutions.

Find inspiration on how to innovate with technology and promote sustainability

Our skilled team combines expertise in applied commercial solutions, bridging the gap between academia and business. We bring diverse backgrounds and talents, ensuring a comprehensive problem-solving and solution-development approach.

Together, we are committed to advancing technology, promoting sustainability, protecting critical infrastructure and fostering collaboration between academia and industry.

Core competencies

Validation of data quality requirements
Data flow and system architecture design
Machine learning and deep learning methods identification
Data analysis and validation
Proof of concept for data-driven solutions

The Digital and Sustainable Innovation in Industry team's areas of expertise:

Discover how to design innovative IoT products using design thinking, customer insights, product requirements, prototyping, and mock-ups tailored to your needs. Learn how to leverage IoT for compelling value propositions and innovative business models through business model validation, value proposition design, and market analysis to drive growth and customer engagement.
Find out how to increase production efficiency and capacity, reduce costs and promote sustainability through digitalisation.
Find out how to effectively manage IoT projects with expert guidance on task estimation, project planning, and troubleshooting to ensure smooth execution.
Gain insights on enhancing your business model with servitisation strategies, including service design, value proposition development and business case building to create new revenue streams and improve customer satisfaction.
Discover how to optimise business transformation processes and reduce your carbon footprint by integrating technology in products, services and supply chains.
Understand and leverage data to release the value of IoT, including evaluation of data needs, analysis of existing data sources, data flow and system architecture design, and application of machine learning and deep learning methods.
Optimise supply chains with IoT by mapping current processes, identifying improvement areas, and creating IoT solutions to enhance transparency and efficiency.
Get an overview of the technological aspects of IoT, from sensor and actuator selection to system architecture, energy harvesting, IoT device technology, wireless technologies and cybersecurity based on international standards.