https://djelatnici.fesb.unist.hr/~toperkov/tags/current/CurrentHugoBlox Kit (https://hugoblox.com)en-usThu, 01 Jan 2026 00:00:00 +0000https://djelatnici.fesb.unist.hr/~toperkov/media/sharing.jpghttps://djelatnici.fesb.unist.hr/~toperkov/tags/current/https://djelatnici.fesb.unist.hr/~toperkov/projects/smartrideai/Thu, 01 Jan 2026 00:00:00 +0000https://djelatnici.fesb.unist.hr/~toperkov/projects/smartrideai/<ul> <li><strong>Period:</strong> January 2026 – January 2029</li> <li><strong>My role:</strong> FESB lead (FESB is a partner institution)</li> <li><strong>Funding:</strong> European Union, PK.1.1.12.0204</li> <li><strong>Team:</strong> <strong>Toni Perković</strong> (FESB lead), </li> <li><strong>Record:</strong> </li> </ul> <h2 id="about-the-project">About the project</h2> <p>The SmartRideAI project develops a system for safer and more sustainable mobility by locally integrating video and sensor data to provide fast, explainable alerts. The project covers three products: an edge device and application, a SaaS platform, and B2B analytics + API solutions. Target groups include drivers, micromobility users, and B2B partners. Expected outcomes include prototypes, patents/trademarks, publications, technology transfer, and revenue growth.</p> <p><em>Project description from the CroRIS record.</em></p>https://djelatnici.fesb.unist.hr/~toperkov/projects/aiomt/Mon, 15 Dec 2025 00:00:00 +0000https://djelatnici.fesb.unist.hr/~toperkov/projects/aiomt/<ul> <li><strong>Period:</strong> December 2025 – December 2028</li> <li><strong>My role:</strong> Researcher</li> <li><strong>Funding:</strong> research project, IP-2025-02-7836</li> <li><strong>Team:</strong> (principal investigator), <strong>Toni Perković</strong>, , , Hrvoje Belani and Ivana Pavlinac Dodig (external collaborators)</li> <li><strong>Record:</strong> </li> </ul> <p>Supported by the .</p> <h2 id="about-the-project">About the project</h2> <p>Future medicine will be predictive, preventive, personalized and digital. Data and knowledge must be available for research and care provision, as a basis for targeted diagnostics and therapy. Data acquisition, integration and sharing are key to achieving these goals, using high-quality data and new, energy-efficient devices powered by artificial intelligence (AI) algorithms for effective patient care.</p> <p>The Clinical Hospital Center in Split, as a supporter of this project, uses the Hospital Information System (HIS) - a fully digitized system that enables access to patients&rsquo; health records with digitally available data and documents. The system, as such, supports writing database queries to extract targeted information of well-structured data that can be used to build a large data system for research purposes.</p> <p>This project proposal involves the development of a parallel system, a mirror image of HIS prepared for research purposes, structured in a way that semantically describes the patient with relevant information, enabling data analysis with the aim of improving diagnostics and prognosis.</p> <p>The project will also use knowledge, developed technologies in the field of hardware and software, and experiences from the previous, successfully concluded establishment project financed by the Croatian Science Foundation (Internet of things: research and applications), with the aim of implementing the developed knowledge in new systems that together with data from HIS with the help of the application of artificial intelligence algorithms form a whole whose goal is to gain new knowledge of applications in medicine and thereby improve the patient care.</p> <p>In addition to the creation of the already mentioned new software environment, the project front will also make two contributions with the application of data from HIS, in terms of the creation of new devices, related to applications in emergency medicine (asthma scenario) and sleep medicine.</p> <p><em>Project description from the CroRIS record.</em></p> <h2 id="related-publications">Related publications</h2> <ul> <li> (2026)</li> <li> (2026)</li> <li> (2026)</li> </ul>https://djelatnici.fesb.unist.hr/~toperkov/projects/multimod/Wed, 01 Oct 2025 00:00:00 +0000https://djelatnici.fesb.unist.hr/~toperkov/projects/multimod/<ul> <li><strong>Period:</strong> October 2025 – September 2029</li> <li><strong>My role:</strong> Researcher</li> <li><strong>Funding:</strong> institutional research project of the University of Split, IP-UNIST-08</li> <li><strong>Team:</strong> (principal investigator), <strong>Toni Perković</strong>, and 17 other FESB researchers</li> <li><strong>Record:</strong> </li> </ul> <h2 id="about-the-project">About the project</h2> <p>Within the research activities of the project, the focus is on advanced numerical modelling and measurement methods for analyzing engineering multiphysics problems.</p> <p>The project activities are aimed at developing formulations and corresponding numerical solution methods in the fields of bioelectromagnetics (with special emphasis on 5G systems), biomedical applications of electromagnetic fields, ground-penetrating radar, plasma physics, fusion technology, space technologies, accelerator systems, wireless power transfer, electromagnetic compatibility, energy efficiency, stochastic processes in advanced communication networks, the application of artificial intelligence and IoT systems in healthcare, as well as the implementation and monitoring of smart environments using energy-efficient IoT systems.</p> <p><em>Project description from the CroRIS record.</em></p> <h2 id="related-publications">Related publications</h2> <ul> <li> (2026)</li> </ul>https://djelatnici.fesb.unist.hr/~toperkov/projects/seamate/Sun, 01 Dec 2024 00:00:00 +0000https://djelatnici.fesb.unist.hr/~toperkov/projects/seamate/<ul> <li><strong>Period:</strong> December 2024 – November 2027</li> <li><strong>My role:</strong> FESB lead (FESB is a partner institution)</li> <li><strong>Funding:</strong> European Union, Integrated Territorial Programme 2021 – 2027, IP.1.1.03.0098</li> <li><strong>Team:</strong> <strong>Toni Perković</strong> (FESB lead), , </li> <li><strong>Record:</strong> </li> </ul> <h2 id="about-the-project">About the project</h2> <p>The SeaMate project explores the potential of applying artificial intelligence (AI) and the Internet of Things (IoT) to improve safety, efficiency and sustainability in smart nautical systems management, combining large language models (LLM), AI and IoT analytics to optimize the user experience in nautical tourism and improve vessel management.</p> <p>The project focuses on the development of a virtual assistant for sailors, based on LLM and AI systems that enable real-time data analysis, personalized recommendations and automated responses via augmented reality (XR). The assistant provides information on safety procedures, weather conditions and technical support, which significantly contributes to the optimization of navigation and the reduction of risks in maritime traffic.</p> <p>In addition, an IoT sensor network system is being investigated that includes monitoring of environmental conditions, energy consumption and vessel performance. The use of LPWAN technologies, satellite radio communications in combination with meteorological sensors, universal radio devices will enable real-time data collection and analysis. The data is processed using neural networks for advanced analytics, enabling predictive maintenance and optimization of ship trajectories.</p> <p>This research contributes to the development of smart IoT solutions applicable in various fields, from maritime transport to emergency medical care. Through the synergy of AI, IoT and LLM technologies, the project offers an innovative approach to digitization and optimization of the nautical sector, increasing its competitiveness and environmental sustainability.</p> <p><em>Project description from the CroRIS record.</em></p>https://djelatnici.fesb.unist.hr/~toperkov/projects/smart-environments/Wed, 01 Jan 2020 00:00:00 +0000https://djelatnici.fesb.unist.hr/~toperkov/projects/smart-environments/<ul> <li><strong>Period:</strong> 2020 – present</li> <li><strong>My role:</strong> Principal investigator</li> <li><strong>Funding:</strong> Multi-year institutional research funding, </li> <li><strong>Team:</strong> <strong>Toni Perković</strong> (principal investigator)</li> </ul>