Author

Mahdi Mohseni

Sharif University of TechnologyORCID 0000-0002-4557-3633Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Abdul Aziz HulleckiD· 1 shared Marwan El RichiD· 1 shared Navid ArjmandiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioengineering

Abdul Aziz HulleckORCID

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1 paper

Recent·Most cited

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.

bioRxiv · Apr 26, 2026 · PreprintBioengineering