Todor Ganchev

Technical University of Varna, University of Patras

Papers

Total Citations

131

H-Index

About

Todor Ganchev is a leading researcher in affective computing, cognitive load assessment, and multimodal human behavior analysis. His work centers on developing databases and frameworks that enable machines to recognize and interpret complex human states, such as stress, cognitive load, and affect, from heterogeneous sensor data. Ganchev’s most impactful contribution is the **CLAS database** (115 citations), a meticulously designed multimodal resource that has become a cornerstone for research into automated recognition of mental states, supporting advancements in human-computer interaction and mental health monitoring. He also spearheaded the **PROMETHEUS database**, a pioneering multimodal corpus for modeling and interpreting unrestricted human behavior, laying groundwork for context-aware intelligent systems. Through these efforts, Ganchev has provided the research community with essential, high-quality datasets that bridge the gap between raw sensor signals and meaningful psychological constructs. His work is instrumental in pushing the boundaries of how technology can understand and respond to human emotional and cognitive states, making him a key figure in the evolution of empathetic and adaptive AI systems.