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My research interest lies in fluid dynamics and its applications in biology and robotics. In particular, I develop fluid-structure interaction models and work closely with experimentalists to study how biological systems interact with their fluid environments and leverage those interactions to gain hydrodynamic benefits. Additionally, I integrate swimming models with Artificial Intelligence to enhance their efficiency and effectiveness. My current research focuses on three areas: (1) mechanics of fish locomotion and fish schooling, (2) design of AI-powered swimmers, and (3) decentralized control of multi-agent systems.
Please refer to my Google Scholar account for a full list of publications.
For students (undergraduate/graduate) and postdoctoral/visiting scholars interested in working with me, please reach out via email (sina.heydari@csun.edu).
Swimming in large groups
Swimming in large groups
I'm interested in fluid-structure interactions and understanding how flying birds and swimming fish are able to utilize the strong interaction between their bodies and the surrounding fluid to achieve highly-controlled locomotion. I study the emergent dynamics and coordination in large groups of interacting swimmers using a hierarchy of fluid-structure interactions models.
Learning to move via Artificial Intelligence
Learning to move via Artificial Intelligence
We are increasingly focused on understanding decentralized control mechanisms, especially as they apply to autonomous robotic systems equipped with distributed sensing and actuation. Drawing inspiration from decentralized biological systems, such as sea stars and their tube feet, we develop mathematical models to capture their underlying principles. We then use Reinforcement Learning (RL) algorithms to train optimal decentralized locomotion controllers and the most effective mechano-sensory cues for locomotion.
In another collaborative project with researchers from DeepMind, we have used RL algorithms to train a 3-link fish model to swim in potential flow. You can read the article here.
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