The research group is active in the fields of artificial intelligence, computer vision, biosignal processing, and the development of intelligent sensor systems. Its research focuses on advanced machine learning and deep learning methods for the analysis of image, video, and biosignal data, with applications in healthcare, robotics, agriculture, industry, maritime transport, and smart environments.

 

The group develops intelligent sensing and cyber-physical systems that integrate computer vision, Internet of Things (IoT) technologies, embedded systems, and advanced data analytics. Particular emphasis is placed on developing algorithms for edge devices, autonomous robotic platforms, and real-time decision-making systems.

 

Research activities include biosignal analysis, health assessment and rehabilitation monitoring, intelligent visual control systems, precision agriculture, 3D modelling and scene reconstruction, development of advanced Bayesian frameworks for risk analysis and surveillance system optimization, computer vision and sensor fusion for maritime applications, integration of augmented and virtual reality (AR/VR) into industrial processes, application of intelligent machine learning algorithms for behavioural prediction and interaction modelling in socio-technical systems, and the application of large language models (LLMs), vision-language models (VLMs), and generative artificial intelligence in intelligent information systems.

 

The group actively participates in national and international research projects and collaborates with academic institutions and industrial partners in developing innovative AI-based technologies.

• Computer vision and image/video data analysis
• Machine learning and deep learning for classification, detection, segmentation, and prediction
• Development of intelligent sensing and measurement systems
• Biosignal processing and analysis and digital health technologies
• Wearable sensors and systems for monitoring physiological and rehabilitation parameters
• Multi-sensor data fusion and Internet of Things (IoT) systems
• Edge AI and deployment of AI algorithms on embedded platforms
• Autonomous robotic systems and vision-based control
• Precision agriculture and computer vision applications in agri-tech
• Analysis of imbalanced and heterogeneous datasets
• 3D modelling, reconstruction, and visualization
• Generative artificial intelligence, Large Language Models (LLMs), Vision-Language Models (VLMs), and intelligent agents
• Optoelectronic sensors and advanced data acquisition systems

Laboratories

• Laboratory for Modelling and Vision-Based Control
• Laboratory for Sensor and IoT Systems

Equipment

n/a

• Integrated, Secure and Green Digital Platform for Continuous QA, Multi-channel Campaign Monitoring and AI Analytics in Digital Marketing – Marketing Operating System (mOS), IRI S3 Project, European Regional Development Fund (Project Leader: Kuzmanić)
• Establishment of the Regional Competence Centre for Electrical Engineering and Computer Science in Split-Dalmatia County, EU Project under the Operational Programme Effective Human Resources (Kuzmanić – Team Member)
• Competence Centre for Advanced Mobility – Development of an Innovative Ship Outfitting Process Using Augmented Reality (IRA 10), EU Project under the Operational Programme Competitiveness and Cohesion (Bonković and Kuzmanić – Project Leaders)
• Virtual CulTourist – Development of a User Interface for the Virtual Presentation of Cultural Heritage through the Integration of Innovative 3D Technologies, Split-Dalmatia County Innovation Programme (Kuzmanić and Bonković – Project Leaders)
• Advanced 3D Virtualization Methods – Towards Virtual Tourism and the Digitalization of Split’s Cultural Heritage, Split-Dalmatia County Innovation Programme (Kuzmanić and Bonković)
• Croatian Science Foundation (HRZZ): Computer Vision for Olive Fruit Detection and Yield Estimation (CoViO) (Bonković – Team Member)
• SeaMate – AI-, LLM-, and IoT-Based Virtual Agent for Smart Nautical Management (Stančić – Team Member)
• National Competence Centres within the EuroHPC Framework – Phase 2 (Stančić – Coordinator)
• Development of Lightweight Polymer Vehicle Body Components for Improved Energy Efficiency (Stančić – Team Member)
• Croatian Science Foundation (HRZZ): Artificial Intelligence for Medical Devices (Stančić – Team Member)

The research group welcomes collaboration with industry, public sector organizations, and research institutions in the development of solutions based on artificial intelligence, computer vision, and intelligent sensor systems.

 

Areas of particular interest include:

• Process automation and industrial analytics
• Digital health and medical technologies
• Wearable sensing and user monitoring systems
• Precision agriculture and smart natural resource management
• Autonomous robotic and unmanned systems
• Big data processing and analytics
• Edge AI and IoT solutions
• Applications of generative artificial intelligence and large language models
• Development of technology prototypes and demonstrators
• Predictive modelling and risk assessment under uncertainty
• Evaluation and classification of large-scale datasets
• Multi-source sensor stream analysis
• Advanced 3D digitization and Digital Twins

The group provides support throughout the entire innovation cycle – from fundamental research and concept development to implementation, validation, and technology transfer to industry and end users.