Vesna Krajči

Vesna Krajči is a Senior Lecturer at the Velesna ElectroTechnical College Rijeka, specializing in Electrical Engineering. She teaches courses such as Electronic components and assemblies, Elements of Telematics, Fundamentals of Electrical Engineering, and Computer Control of Complex Systems. Her research focuses on robotics, control systems, and automation, with notable contributions to topics like homomorphic cryptography in machine learning, autonomous robot navigation, and medical robotics for autism therapy. She has also explored variable-structure control methods, nonlinear control algorithms, and embedded systems design.

Her academic career includes over two decades of research, with publications ranging from trajectory tracking optimization (2006) to recent advancements in telematics and healthcare robotics (2022–2024). She has developed practical systems like the KNX HMI prototype and Arduino-based assistive robots. Her work emphasizes interdisciplinary applications, bridging theoretical control methodologies with real-world engineering challenges.

Vesna Krajči’s research trends highlight a progression from foundational robotics control (e.g., variable-structure methods in the 2000s) to modern applications in AI security and medical robotics. Her recent articles (2022–2024) underscore a shift toward integrating machine learning with robotics for healthcare and autonomous systems. No scientific awards are explicitly mentioned, though her extensive publication record reflects sustained academic engagement.

In advising and grants, no formal records are provided, but her course offerings suggest involvement in student projects related to telematics, robotics, and embedded systems. She maintains a focus on practical education, as seen in courses like Project in Telematics and Systems for Managing Production Processes.