معرفی
Marija Kalendar is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of the Ss. Cyril and Methodius University of Skopje. She is affiliated with the Department of Computer Engineering and Informatics, where she contributes to research and teaching in computer science, AI, and network technologies. Her work spans machine learning applications, healthcare ethics in AI, IoT frameworks, FPGA implementations, and remote laboratory systems.
Education:
No explicit educational details provided in the text.
Research Interests:
Dr. Kalendar's research focuses on ethical AI (e.g., bias detection in medical datasets), federated learning for healthcare and IoT security, FPGA-based hardware designs for networking, and virtual laboratory frameworks. She also explores cryptocurrency price prediction using ML and LoRaWAN IoT limitations.
Key Article Trends:
Her recent work emphasizes AI ethics (racial bias in clinical AI), cybersecurity in IoT (federated learning for intrusion detection), and remote education infrastructure (UbiLAB framework). She also studies vital signs' role in bias and 5G network frameworks for mission-critical data.
Grants/Advising:
No specific grants or advising details provided. However, her involvement in collaborative projects (e.g., UbiLAB, federated learning frameworks) suggests interdisciplinary teamwork.
Labs/Teams:
Her affiliation with the Department of Computer Engineering and Informatics implies collaboration with FEIT's research institutes, though specific lab names are not mentioned.
