Pavle Dakić

Pavle Dakić is a researcher at Singidunum University, affiliated with the Faculty of Informatics and Computing and the Department of Electrical Engineering and Computing. He holds a doctoral degree in Applied Informatics from the Slovak University of Technology (2020-2024) and another doctoral degree in Electrical Engineering and Computing from Singidunum University (2015-2024). His research focuses on autonomous vehicles, cybersecurity, IoT/IIoT systems, and software compliance in automotive and healthcare sectors. He is actively involved in publishing peer-reviewed articles and conference papers, with recent work exploring AI-driven solutions for parking systems, cybersecurity in IoT environments, and the economic impacts of global market changes on automotive manufacturing. Pavle has collaborated on projects addressing standards compliance, fake news mitigation in online communities, and energy efficiency in autonomous vehicles.

• Education:
• Doctoral studies in Applied Informatics: Slovak University of Technology (2020-2024)
• Doctoral studies in Electrical Engineering and Computing: Singidunum University (2015-2024)
• Master’s in Contemporary Information Technologies: Singidunum University (2014-2015)

His research interests span advanced topics such as intrusion detection systems for autonomous vehicles, software quality control using black-box testing, and the intersection of artificial intelligence with call-center optimization in automotive retail. Pavle has contributed to interdisciplinary projects, including analyses of agro-food production potential in Serbia and wage stability in the Republic of Srpska. His work emphasizes practical applications of technology in compliance, sustainability, and industry standards.