Papers
5
Total Citations
17
H-Index
3
About
Ferhat Sadak is a rising researcher at the intersection of robotics, deep learning, and biomedical engineering. His work primarily focuses on advancing microrobotics and agricultural automation through intelligent computer vision systems. Sadak’s most significant contributions lie in the manipulation and tracking of optical microrobots—micron-scale structures actuated by lasers in liquid media. He has pioneered deep learning-based methods for tracking, pose prediction, and 3D orientation estimation of these microrobots, enabling precise control for biomedical applications such as manipulating biological objects at the micrometer scale. His papers in this domain have garnered early citations, reflecting their growing importance in the field. Beyond microrobotics, Sadak has applied his expertise to agricultural robotics, developing a camouflage-based data augmentation technique for strawberry ripeness assessment to improve automated picking robots. He has also contributed to robotic sorting of zebrafish embryos and to industrial robotics by creating real-time interface protocols using LabVIEW. With multiple publications in 2023-2024, Sadak is establishing himself as a versatile innovator bridging deep learning with practical robotic systems for both biomedical and agricultural challenges.
Research Focus
Key Achievements
Top Papers
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- 2Robotic sorting of zebrafish embryos5 citations · 2024
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