Author

Abdul Aziz Hulleck

Khalifa University of Science and TechnologyORCID 0000-0003-2811-4379Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Marwan El RichiD· 2 shared Kinda A. KhalafiD· 1 shared Mahdi MohseniiD· 1 shared Muhammad AbdullahiD· 1 shared Navid ArjmandiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersBioengineering

Marwan El RichORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintJun 6, 2026

Kinematics to Kinetics: Evaluating OpenGRF for Scalable Ground Reaction Force Estimation in Healthy and Pathological Gait

Muhammad Abdullah, Abdul Aziz Hulleck, Kinda A. Khalaf, Marwan El Rich

This study evaluates OpenGRF's accuracy in estimating ground reaction forces during gait in healthy and pathological conditions using motion-capture data.

DOI 10.64898/2026.06.03.729748

humanimaging

BioengineeringbioRxivPreprintApr 26, 2026

MMH: A multimodal dataset of whole-body kinematics, bilateral ground reaction forces, and lower-limb surface electromyography signals during load lifting and lowering

Mahdi Mohseni, Abdul Aziz Hulleck, Marwan El Rich, Navid Arjmand

The paper introduces the MMH dataset, which includes kinematic, force, and sEMG data from load lifting and lowering tasks to support musculoskeletal modeling and ergonomic risk assessment.

DOI 10.64898/2026.04.22.718747

humanimaging