Taito Koeda
Papers
1
Total Citations
7
H-Index
1
About
Taito Koeda is a researcher whose work bridges computational biology and entomology, with a primary focus on insect olfaction and pheromone-mediated behavior. His key research area centers on understanding how insects, particularly the silkworm moth (*Bombyx mori*), interact with airborne chemical signals through the biomechanics of wing fanning. In his most-cited work, "Olfactory sampling volume for pheromone capture by wing fanning of silkworm moth: a simulation-based study" (2024, 7 citations), Koeda developed a simulation model to quantify how wing-induced airflows influence the sampling volume of pheromones. This contribution is significant because it provides a mechanistic understanding of how flightless moths optimize odor capture for mating, challenging assumptions about passive diffusion and highlighting the active role of wing movements in olfactory localization. Though early in his career, Koeda’s work has already been cited in studies on insect sensory ecology and bio-inspired sensor design. His simulation-based approach offers a valuable framework for researchers studying odor tracking in robotics and pest management. Koeda’s research exemplifies the power of computational modeling to unravel complex biological interactions, making him a promising voice in the field of chemical ecology.
Research Focus
Key Achievements
Top Papers
- 1