About the Project
ZIDI
Scientific Excellence for Societal Challenges: Intelligent Models and Interfaces for Safety and Health
The project investigates innovative solutions based on virtual models, artificial intelligence and advanced multimodal interfaces to address key societal challenges in environmental risk management, cybersecurity and healthcare.
In environmental risk management, the project focuses on developing explainable models for predicting, recognising and managing the consequences of disasters caused by climate change and human activity, such as wildfires and pollution. In cybersecurity, a methodology is being developed for using large language models as digital twins of users for ethically acceptable testing of resilience to phishing attacks. In biomedicine, the project employs virtual models of the human body for the development and testing of medical devices and the optimisation of diagnostic and therapeutic procedures, reducing the need for costly and risky physical experiments. In telemedicine, the focus is on developing AR/VR, speech-gesture and BCI interfaces for rich, spatially aware and empathetic remote collaboration.
The project delivers innovative methodologies and technologies, fosters scientific excellence and lays the groundwork for socially beneficial and sustainable technological breakthroughs.
Goals
Project Goals
1. Environmental Risks Develop explainable and reliable artificial intelligence models for the automatic recognition, prediction and mitigation of the consequences of climatic and environmental risks, with the aim of increasing community resilience and environmental safety.
2. Telemedicine Develop advanced user interface models with the aim of creating a telemedicine platform based on extended reality (XR), enabling multimodal collaboration, personalised patient visualisation and remote diagnostics through interactive and spatial protocols.
3. Biomedicine Establish a digital twin methodology in biomedical experiments and medical device development, with the aim of optimising laboratory testing, reducing costs and creating a virtual patient.
4. Cybersecurity Develop AI simulation methods for cybersecurity testing based on virtual personality models, including LLM emulation of user behaviour and testing of responses to various types of phishing attacks under controlled conditions.
Work Packages
Work Packages
Project Team
Project Team
Project Leader: Prof.Ljiljana Šerić, PhD
Contact
Contact
For all enquiries related to the ZIDI project, please contact the project leader:
Prof.Ljiljana Šerić, PhD Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture University of Split Ruđera Boškovića 32, 21000 Split, Croatia
Email: Ljiljana.Seric@fesb.hr