IVA’s 100 List - 2019-2024

The 5G cellular technology is being increasingly utilized in many industrial applications. An important functionality is the advanced Quality of Service (QoS) feature. Despite the research in 5G QoS, there is notable absence of real-life industrial research directions and implementations.

The 5G cellular technology is being increasingly utilized in many industrial applications. An important functionality is the advanced Quality of Service (QoS) feature. Despite the research in 5G QoS, there is notable absence of real-life industrial research directions and implementations.

Our solution represents a comprehensive suite of multisensory visual sensors designed to gather data from diverse sources, including robotized missions, pre-existing legacy traffic systems, and even human activities.

Our solution represents a comprehensive suite of multisensory visual sensors designed to gather data from diverse sources, including robotized missions, pre-existing legacy traffic systems, and even human activities.

aktor-e aims to equip manufacturing factories with a one-click energy optimization mode. In prior research, we have shown that intelligent control can run manufacturing machines up to 30% more energy-efficiently.

aktor-e aims to equip manufacturing factories with a one-click energy optimization mode. In prior research, we have shown that intelligent control can run manufacturing machines up to 30% more energy-efficiently.

In our project, we’re pioneering a new way to make batteries smarter, longer-lasting, and more efficient through Dynamically Reconfigurable Battery Systems (DRBS). DRBS addresses common battery issues like uneven cell wear, limited flexibility, and wasted energy.

In our project, we’re pioneering a new way to make batteries smarter, longer-lasting, and more efficient through Dynamically Reconfigurable Battery Systems (DRBS). DRBS addresses common battery issues like uneven cell wear, limited flexibility, and wasted energy.

As a key technology for electromobility and renewable energy storage, batteries remain costly and face risks of thermal runaway and premature degradation. To tackle these critical challenges, this project develops advanced battery management algorithms by leveraging interdisciplinary knowledge, novel sensors, big data, and artificial intelligence.

As a key technology for electromobility and renewable energy storage, batteries remain costly and face risks of thermal runaway and premature degradation. To tackle these critical challenges, this project develops advanced battery management algorithms by leveraging interdisciplinary knowledge, novel sensors, big data, and artificial intelligence.