Williams Maikol BouzidEngineering · Research
Research profile / 2026

Models are useful only when their assumptions remain visible.

My current work connects human movement, musculoskeletal simulation and marine engineering. I focus on traceable modelling, sensitivity analysis and critical validation rather than treating software output as evidence by itself.

Current research direction

Final-year Erasmus+ research internship at DITEN, University of Genoa, supervised within a multidisciplinary engineering context.

01 / QUESTION

Human stability in dynamic marine environments

Study of postural response and Motion Induced Interruptions, linking biomechanical behaviour with vessel-motion and seakeeping concepts.

MIIPostural stabilityMarine motion
02 / MODELS

OpenSim and SCONE simulation

Musculoskeletal modelling, inverse kinematics, inverse dynamics, static optimisation and controlled simulation used as complementary levels of analysis.

OpenSimSCONEIK · ID · SO
03 / VALIDATION

Evidence across markers, forces and models

Interpretation is based on coherence between kinematics, force-platform data, assumptions, reserve actuators and sensitivity scenarios.

GRFCoP · BoSSensitivity

Methodological principles

A researcher-style workflow should make uncertainty inspectable, not hide it behind polished figures.

01

Define

State the physical question, coordinate systems, units and experimental limits.

02

Reconstruct

Use markers and external loads to reconstruct movement and joint-level quantities.

03

Stress-test

Compare scenarios and numerical assumptions to identify fragile conclusions.

04

Interpret

Separate observations, model-derived results and hypotheses for future validation.

Research interests

Areas where my existing background can support future doctoral or industrial R&D work.

A

Biomechanics and human movement

Postural control, musculoskeletal simulation, movement reconstruction and model-based interpretation.

B

Signal processing and estimation

Radar, sonar, stochastic signals, detection, Kalman filtering and multisensor systems.

C

Scientific computing and control

Numerical simulation, dynamic systems, optimisation, validation and reproducible analysis.