The Intelligent Systems Research Group focuses on the development of advanced artificial intelligence, generative AI, and data analytics methods for solving complex real-world problems across a wide range of application domains. Its core expertise includes intelligent systems, machine learning and deep learning, large language models (LLMs) and generative AI with Retrieval-Augmented Generation (RAG) architectures, agent-based and multi-agent systems, real-time AI agent orchestration, computer vision, image processing and understanding, natural language processing, semantic technologies, operational research, and optimization. The group develops innovative AI-driven solutions for remote sensing applications, including optical and radar satellite image analysis, advanced GIS technologies, digital twins, environmental protection, and the management of complex systems. These solutions are applied in wildfire prevention and response, marine protection and the blue economy, tourism, healthcare, and intelligent document management. Research activities are supported by high-performance computing (HPC), cloud and edge computing technologies, and close collaboration with national and international research partners.

• Intelligent systems
• Machine learning and deep learning
• Semantic technologies
• Cognitive vision
• Advanced image processing, analysis, and understanding
• Advanced Internet technologies
• Cloud and edge computing
• Advanced GIS technologies
• Modelling and management of complex systems
• Application of ICT and intelligent technologies in environmental protection, particularly wildfire prevention and management
• Digital twins for simulation and risk management
• Artificial intelligence for remote sensing, including optical and Synthetic Aperture Radar (SAR) satellite image analysis, classification, change detection, and sensor fusion
• Natural language processing and large language models (LLMs)
• Agent-based and multi-agent systems, agentic AI
• Real-time orchestration and coordination of AI agents
• Generative AI and Retrieval-Augmented Generation (RAG)
• Development of domain-specific and multilingual AI platforms for small and medium-sized enterprises (SMEs)
• Personalisation and recommendation systems
• Operations research and optimisation, including the generation and evaluation of alternative Courses of Action (CoA) and real-time decision support

Laboratories

• CIPOP – Centre for Wildfire Research
• LaIS – Laboratory for Intelligent Systems and Artificial Perception
• LaADIA – Laboratory for Advanced Digital Image Analysis
• LaANLA – Laboratory for Advanced Natural Language Analysis

Equipment

n/a

• COST Action – european Network on Extreme fiRe behaviOr (NERO)
• FirEURisk – Developing a holistic, risk-wise strategy for European wildfire Management
• FireDT – Wildfire Digital Twin: Operational Risk Assessment and Recommendation System for Split-Dalmatia County
• HospitalityInSky & HealthInSky – Research and development of two innovative AI platforms (IRI S3 Programme)
• Development of Innovative AI Agents for Intelligent Digital Document and Signature Management as an Upgrade to the Doctavian Cloud DMS Platform (IRI S3 Programme)

The group actively collaborates with academic institutions, public-sector organisations, and industry partners in the following areas:

• Digital Twins and Environmental Technologies – Simulation and risk management for wildfires and climate-related extreme events, GIS analytics and AI-based analysis of optical and radar satellite imagery (e.g., Sentinel and NISAR missions), Marine protection and blue economy applications
• Generative and Agentic AI – Solutions based on large language models (LLMs) and RAG architectures, AI agents and orchestration frameworks for coordinating multiple agents in real time, Personalised and hybrid human-AI collaboration systems for tourism, healthcare, and document management
• Computer Vision and HPC/Edge Computing – Intelligent recognition, monitoring, and surveillance systems, Support for the adoption and utilisation of cloud, edge, and high-performance computing infrastructures
• Intelligent Decision Support – Generation, evaluation, and optimisation of operational plans (Courses of Action), Decision-support systems for emergency and crisis management