Tibor Kovács

Tibor Kovács is an Associate Professor at the Budapest University of Technology and Economics, affiliated with the Department of Automation and Applied Informatics. He has contributed extensively to applied informatics, focusing on graph database systems, 3D scanning technologies, industrial process optimization, and noise-resistant algorithms. His work bridges theoretical research with practical implementations in manufacturing, sensor design, and data management.

Research Interests:

• Graph database benchmarking and optimization
• 3D geometry scanning and curvature adaptation
• Industrial production network performance analysis
• Energy efficiency in manufacturing systems
• Robust line/edge detection algorithms
• XML tree search methodologies

Publication Trends: His recent work emphasizes scalable data systems (2019) and geometric sensor optimization (2018), while earlier studies focus on industrial energy efficiency (2016), technical advisory networks (2010), and foundational computer vision algorithms (2004–1994).