UHBVSA - Partners description

Partners

UHBVSA > Partners description

Partners description


Romanian partner

Technical University of Cluj-Napoca is an outstanding research and educational institution in engineering from Romania. The university has nine faculties in its structure where more than 647 academic staff and more than 13 000 students carry out their activity in areas that vary from mechanical and manufacturing engineering to electrical engineering, telecommunications, computer science and control engineering, from civil engineering to architecture and materials science.

 

The research group involved in this billateral cooperation project is the Image Processing and Pattern Recognition Group from the Computer Science Department. The Computer Science Department is part of the Faculty of Automation and Computer Science and is one of the largest departments of the Technical University. Its main objective is to provide high education and to carry out competitive specific research in the field of computer science and engineering.

 

The Image Processing and Pattern Recognition group is led by prof. dr. eng. Sergiu Nedevschi. By the research topics covered, the group has reached state-of-the art levels of expertise in 2D and 3D Image Processing and Recognition, Stereovision for Driving Assistance Systems and Autonomous Driving, Medical Imaging.

 

Slovenian partner

Jožef Stefan Institute is the leading Slovenian scientific research institute, covering a broad spectrum of basic and applied research. The staff of more than 850 specializes in natural sciences, life sciences and engineering.

 

The subjects concern production and control technologies, communication and computer technologies, knowledge technologies, biotechnologies, new materials, environmental technologies, nanotechnologies, and nuclear engineering.

 

The mission of the Jožef Stefan Institute is the accumulation - and dissemination - of knowledge at the frontiers of natural science and technology to the benefit of society at large through the pursuit of education, learning, research, and development of high technology at the highest international levels of excellence.

 

The research group involved in this bilateral cooperation project is led by conf. dr. Dunja Mladenic . The group is part of the Department of Knowledge Technologies. The main research areas of the department involve: data mining, machine learning, text, web and multimedia mining, semantic Web, knowledge management, language technologies, decision support.