System-aware
Methods reflect topology, resource limits, uncertainty and interactions between communication, computation and control.
Technology
Applied AI for communication networks and connected systems
We combine optimization, distributed AI and adaptive decision-making with a system-level view of real operational constraints.
01
Communication networks
Applied AI for TN & NTN Communication Networks
We develop AI-native methods for terrestrial and non-terrestrial communication infrastructures, with emphasis on systems where topology, connectivity, computing resources and service requirements evolve over time.
Our work combines optimization, learning and distributed intelligence for network control, resource and workload orchestration, adaptive operation and communication-computation coordination. The objective is scalable and robust decision-making under heterogeneous resources, delayed information and changing operating conditions.
02
IoT & connected systems
Applied AI for Business Value in IoT & Connected Systems
We develop applied AI methods for environments where sensing, communication, computation and operational decisions interact, and where system data must lead to timely and economically useful actions.
Our work combines forecasting, data-efficient learning, optimization and agentic decision support to improve resource allocation, operational planning and adaptive responses under uncertainty. We focus on methods that translate heterogeneous operational data into measurable improvements in performance, efficiency and business value.
Core expertise
Methods that remain grounded in the system
Optimization
Communication Networks
IoT & Connected Systems
Distributed AI
Agentic Decision-Making
Engineering principles
Designed for real constraints
Our technical work is shaped by the interaction between algorithms, data, infrastructure and operational requirements.
Adaptive
Decisions can respond to changing state, workloads, connectivity and application requirements.
Evaluable
Performance is assessed against explicit objectives such as efficiency, latency, reliability and operational value.
Collaboration
Need a research or engineering partner for an applied AI challenge?
We work on technically demanding problems where AI and optimization must operate within real system constraints.