Eklas Hossain

Oregon Institute of Technology, Boise State University

Papers

Total Citations

105

H-Index

About

Dr. Eklas Hossain is a pioneering researcher at the intersection of robotics, artificial intelligence, and assistive technology. His work focuses on developing intelligent autonomous systems that enhance human capabilities and address real-world challenges. Dr. Hossain’s most impactful contribution is his comprehensive review on Brain-Computer Interface (BCI)-based humanoid control, which has garnered 91 citations. This work explores how brain signals can be harnessed to control external devices, offering transformative potential for individuals with severe motor disabilities. Beyond BCI, he has advanced autonomous navigation by training robots with Artificial Neural Networks (ANN) to navigate static paths and avoid obstacles without human intervention, as demonstrated in his 2017 paper. Dr. Hossain also addresses practical agricultural needs through his design of an autonomous, affordable, and highly efficient sprayer robot, reducing human exposure to harmful pesticides. His recent work on machine learning applications in robotics continues to push boundaries. With a portfolio that bridges cutting-edge AI and tangible societal benefits, Dr. Hossain is shaping the future of human-robot interaction and autonomous systems.