Mahmut Demir

Papers

Total Citations

103

H-Index

About

Mahmut Demir is a researcher whose work bridges the frontiers of sensory biology and autonomous robotics, with a primary focus on how organisms and machines navigate complex environments. His most significant contribution lies in the study of odor plume navigation, where he has fundamentally advanced our understanding of how animals, particularly *Drosophila*, use directional cues. In his highly cited 2022 paper (90 citations), Demir demonstrated that fruit flies do not rely solely on wind direction to track odors, as was long believed, but also sense the motion of the odor itself as a second, critical directional cue. This discovery reshapes a century-old paradigm and has profound implications for designing bio-inspired robotic olfactory systems. His earlier work in robotics, including "Automated Place Detection Based on Coherent Segments" (2018), showcases his versatility, tackling the challenge of how robots can autonomously segment visual streams into meaningful places. By combining rigorous behavioral experiments with computational modeling, Demir’s research offers a compelling blueprint for creating autonomous agents that can navigate complex, dynamic plumes—a challenge with applications in search-and-rescue, environmental monitoring, and beyond.