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SQAICOM

Research & Innovation

Exploring what should become possible next.

Focused research directions across trustworthy intelligence, emerging computing and next-generation communications.

Trustworthy & Privacy-Preserving AI

Research directions include federated and distributed learning, confidential AI, secure computation, homomorphic encryption and privacy-aware language-model systems.

Advanced Machine Intelligence

Research directions include advanced machine learning, multimodal systems, autonomous or task-aware agents, efficient AI and enterprise intelligence.

Quantum & Emerging Computing

Research directions include hybrid quantum-classical systems, quantum machine learning, quantum optimisation and emerging computing paradigms.

Next-Generation Wireless Networks

Research directions include 6G and beyond, optical networks, AI-native communications, simultaneous lightwave information and power transfer, secure wireless systems, intelligent network optimisation, and non-terrestrial networks.

From research to working systems

Research technologies, prototypes & tools.

Alongside our research, we develop specialised technologies, software tools, prototypes and testbeds that address concrete challenges in AI, privacy-preserving computation and wireless communications.

AI solutions & applications

Developed AI solutions and applications for privacy-preserving learning, language-model workflows and the practical analysis of complex data.

Conceptual visual of federated learning with encrypted model aggregation

Privacy-preserving AI solution

Federated Learning with Homomorphic Encryption

A privacy-preserving AI solution that combines federated learning with homomorphic encryption, enabling participants to contribute protected model updates to collaborative training without centralising their raw data.

  • Federated learning
  • Homomorphic encryption
  • Encrypted updates
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What it enables
Collaborative model training across participants while local raw data remains at its source.
Technical scope
Federated-learning workflows with homomorphic encryption applied to selected model-update and aggregation operations.
Design focus
Balancing privacy protection and model utility with the computational and communication requirements of the target setting.
Interface or architecture of the SQAICOM privacy-preserving LLM platform

Privacy-preserving AI solution

Privacy-Preserving LLM Solution

A privacy-preserving LLM solution built around trained models that protect sensitive information while retaining practical output utility. It can also serve as a platform for developing privacy-aware language-model applications.

  • Trained models
  • Privacy
  • LLM applications
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What it enables
Language-model workflows that balance the protection of sensitive information with the utility and quality of model outputs.
Technical scope
Trained models, privacy-aware processing, controlled LLM interaction and practical-utility assessment.
Platform capability
A foundation for developing and evaluating privacy-aware language-model applications for different use cases.
Conceptual visual of the SQAICOM cancer-associated thrombosis analytics and prediction application

Medical data analytics

Medical Data Analytics Application

A developed application that uses trained models to analyse medical data and present structured outputs for exploring complex health-related information.

  • Medical data
  • Trained models
  • Analytics
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What it enables
Structured exploration and model-driven analysis of medical datasets through an application-based environment.
Technical scope
Trained analytical models, medical-data processing and the presentation of outputs for further examination.
Application focus
Deriving useful analytical insight from complex and sensitive health-related data.

Communications technologies & algorithms

Specialised testbeds, transceiver technologies and algorithms for private connectivity, lightwave information and power transfer, signal protection and emerging communication architectures.

SQAICOM private 5G testbed with terrestrial and UAV user equipment

Network testbed

Private 5G for non-terrestrial networks

A configurable private 5G testbed for developing and validating connected solutions with terrestrial devices and UAV-based aerial user equipment under controlled deployment conditions.

  • Private 5G
  • Aerial UEs
  • Testing
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What it enables
Prototyping and validation of private-network configurations involving ground-based and aerial devices.
Technical scope
Private 5G infrastructure, terrestrial user equipment and UAV-based aerial user equipment.
Application focus
Connectivity, mobility, coverage and performance across mixed terrestrial and aerial deployment conditions.
SLIPT transceiver testbed with a high-power laser transmitter and separate information and power receiver paths

Optical wireless testbed

SLIPT Testbed

A laboratory testbed combining a high-power optical transmitter and a SLIPT transceiver to investigate simultaneous lightwave information and power transfer under controlled conditions.

  • SLIPT
  • Optical wireless
  • Power transfer
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What it enables
Experimental investigation of information delivery and optical power transfer through the same lightwave link.
Technical scope
A high-power laser-based transmitter, configurable optical link and SLIPT transceiver with information-processing and energy-harvesting paths.
Evaluation focus
Controlled assessment across different link configurations and operating conditions.
SQAICOM physical-layer encryption modulator prototype

Physical-layer security

Physical-Layer Encryption Modulator

A physical-layer security solution for applying encryption within the communication signal chain, supported by an SDR-based laboratory environment for implementation and evaluation.

  • Physical layer
  • Encryption
  • Modulation
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What it enables
Signal-level protection mechanisms that operate as part of the transmission process.
Technical scope
Modulator design, physical-layer encryption and integration within a communications signal chain.
Laboratory implementation
Software-defined radio equipment supports implementation and performance evaluation under relevant channel conditions.
SQAICOM high-order modulation receiver or associated measurement setup

Receiver technology

Hardware-Impairment-Aware Receiver for Ultra-High-Order Modulations

A receiver technology designed to improve reliable detection of ultra-high-order modulation signals by mitigating non-ideal hardware effects, with a development path towards robust mmWave and THz communications.

  • High-order modulation
  • mmWave
  • THz
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What it enables
More reliable reception when demanding modulation orders and non-ideal radio hardware interact.
Technical scope
Very-high-order modulation reception and mitigation of hardware-generated impairments.
Development focus
Extension towards robust operation in millimetre-wave and terahertz communication environments.
Visualisation of SQAICOM optimisation work for pinching antennas and leaky cables

Optimisation algorithms

Pinching-Antenna & Leaky-Cable Optimisation

Algorithms that optimise the configuration of pinching-antenna and leaky-cable systems to improve performance and extend coverage for a target deployment environment.

  • Pinching antennas
  • Leaky cables
  • Optimisation
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What it enables
System configurations tailored to the performance and coverage requirements of a target operating environment.
Technical scope
Performance optimisation for pinching-antenna and leaky-cable deployment configurations.
Application focus
Coverage extension and performance improvement through algorithmic system configuration.

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