13. 06. 2024.
Members of the Department of Information and Communication Traffic, Prof. Dr. Dragan Peraković and Assist. Prof. Dr. Ivan Cvitić, participated in the Swiss-Japanese Quantum Symposium 2024 (Tokyo University, Tokyo, Japan), presenting the CroQCI project and the topic "Enhancing Quantum Key Distribution Networks: The Critical Role of Advanced Simulation Techniques", emphasizing the key role of simulations in quantum communications.
27. 05. 2024.
On Monday, May 27, 2024, at 12:00 PM in Hall 6 of the ZUK Borongaj, a lecture on career opportunities at A1 Croatia was held by Josipa Runje, currently a Junior Radio Access Network Specialist, and Patricija Poturiček, a Junior HR Specialist. The lecture was particularly interesting to final-year students of the Information and Communication Traffic program as it provided insight into real possibilities and examples of working in the industry, as well as information about the A1 Start program at A1 Croatia, which offers a way to start a career after graduation.
10. 05. 2024.
The eighth consecutive EAI FABULOUS 2024 conference was successfully held at Hotel Dubrovnik in Zagreb from 9-10 May 2024. The organizer of the conference was the European Alliance for Innovation, with the co-organization of the Department of Information and Communication Traffic of the Faculty of Transport and Traffic Sciences and the Association for Promoting Innovative Technologies - InnovativeFET.
The Impact of Using Modern Information and Communication Equipment and Services on Driving Safety
Comparative Analysis of Cloud-Based Mobile Applications for Preventive Maintenance in Telecommunications
Aktivnosti i rezultati provođenja projekta Utjecaj korištenja mobilnih uređaja na ponašanje vozača tijekom vožnje
Potential of Cloud Computing in the Transport Sector
B2TWNS – Innovative Model for Travelers with Special Needs
Internet of things concept for informing visually impaired persons in indoor environments
An Overview of the Cyber Security Strategic Management in Republic of Croatia
Network Parameters Applicable in Detection of Infrastructure Level DDoS Attacks
Model for Detection and Classification of DDoS Traffic Based on Artificial Neural Network