Abdul Muhith

Darul Ulum Islamic University, Universitas Nahdlatul Ulama Indonesia

Papers

Total Citations

H-Index

About

Abdul Muhith’s research bridges critical gaps in rehabilitation robotics and autonomous underwater navigation, with a focus on advanced state estimation techniques. His work addresses two pressing challenges: restoring motor function for stroke survivors and enabling precise control of underwater vehicles. In his highly cited 2022 study, Muhith pioneered the use of the Ensemble Kalman Filter to estimate third finger motion for post-stroke rehabilitation—a vital contribution given that stroke is the second leading cause of disability in people over 60. This work offers a pathway to more responsive, data-driven therapy devices. Expanding into marine robotics, his 2023 paper applied the Unscented Kalman Filter to estimate the motion of remotely operated vehicles (ROVs) in the XY plane, targeting Indonesia’s vast, underexplored underwater territories. By improving navigation accuracy in complex aquatic environments, this research supports safer and more efficient ocean exploration. Though early in his career, Muhith’s dual-domain expertise—combining biomedical and marine engineering—demonstrates remarkable versatility. His growing citation record (2+ per paper) signals rising influence, and his work holds promise for both clinical rehabilitation and maritime technology.