Ziad Salem
Papers
5
Total Citations
23
H-Index
4
About
Ziad Salem is a pioneering researcher in the emerging field of bio-hybrid systems, where living animals and robots are integrated into cohesive, adaptive societies. His work focuses on developing computational and robotic tools to modulate the self-organization of animal groups, particularly honeybees. Salem’s major contributions include evolving robot controllers that are accepted as conspecifics by animals, enabling robots to influence collective behavior in real-time. To achieve this, he has designed innovative neural network architectures—such as LSTM and convolutional neural networks—for accurate, non-invasive estimation of honeybee density and activity within hives. His most-cited paper, “Evolving robot controllers for a bio-hybrid system” (2018, 7 citations), reports the first successful evolution of such controllers for animal-robot societies. Salem’s work is part of the ASSISIbf project, a landmark initiative aiming to create collective adaptive bio-hybrid societies. With over 20 citations across his key publications, Salem is establishing himself as a leading voice in bio-hybrid robotics, offering transformative approaches to studying and preserving critical pollinators like honeybees.
Research Focus
Key Achievements
Top Papers
- 1Evolving robot controllers for a bio-hybrid system7 citations · 2018
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- 5Convolutional Neural Network for Honeybee Density Estimation2 citations · 2020