Daniel Štifanić
M.Eng. in Electrical Engineering, employed as an assistant at the Faculty of Engineering of the Catholic University of Croatia in Zagreb. He graduated from the Faculty of Engineering, University of Rijeka in 2019, where he is currently pursuing a doctoral degree in technical sciences. His doctoral research focuses on the analysis and processing of radar images of underground infrastructure. Through collaboration with clinicians from the Clinical Hospital Center in Rijeka, he is working on the development of systems for advanced analysis of CT scans in order to monitor and quantify certain diseases.
SCIENTIFIC AND RESEARCH INTERESTS:
Analysis and processing of GPR data using deep learning-based methods.
COURSES:
2020 – 2021: Electronics 1 (Faculty of Engineering, University of Rijeka)
2021 – 2022: Application of Artificial Intelligence (Faculty of Engineering, University of Rijeka)
PROJECTS:
Scientific Center of Excellence for Data Science and Cooperative Systems (established by the Ministry of Science and Education),
CEKOM - SmartCity.4D Intelligent Infrastructure,
CEI project “COVIDAi” (305.6019-20),
University of Rijeka scientific support project: “Development of an Intelligent Expert System for Online Bladder Cancer Diagnosis”,
Erasmus+ WICT (Introduction of joint short-cycle ICT courses for better employability of students and graduates),
Erasmus+ AISE (An artificial intelligent platform to support students by assessing their performance skills through predictive models created from their writing skills),
Brain Clock – Development of personalized tests for determining the biological age of the brain and early detection of dementia.
