IVA’s 100 List: current research with potential to create value

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.

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.

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.

The memory subsystem in a microprocessor is crucial for scaling the performance/watt of future computing devices. To be efficient, every part of the memory subsystem must be highly optimized, most notably the multi-level cache hierarchy and networks-on-chip.

Spent Li-ion batteries contain valuable metals such as lithium, cobalt, manganese, nickel, aluminium and copper. Some of these metals are not mined in EU and we depend on their import. Thus, we are obligated to recover them from the waste via sustainable recycling.

In 2023, global public investment in quantum technology reached $42 billion, highlighting immense expectations for quantum computers to revolutionize industries. A critical barrier to building large-scale superconducting quantum computers is achieving near-noiseless qubit readout; without quantum-limited amplifiers, signals become too noisy, degrading performance.

We have developed novel, scalable graphene-based biosensors that can detect any pathogen within minutes. The food industry’s pathogen detection market is nearly $22 billion but lacks reliable rapid testing methods.

Blood sampling in hospitals via venipuncture is standard for diagnostics, but has a series of drawbacks. Meanwhile, new medical trends are emerging: moving towards decentralized point-of-care applications, shifting from curative to preventive care, exploration of untapped biological information and improved outcomes via personalized medicine. All enabled by advanced analytical tools and sample collection methods.