I investigate physical systems and build the hardware, software, computational tools, experiments, and evidence required to understand them.
Engineering record
A technical record spanning from underlying physical mechanisms and computational research through to integrated engineering systems.
Physics · DFT · Materials
A multiscale research program connecting atomistic interface states, transition networks, reaction–diffusion kinetics, and macroscopic silicon oxidation laws.
Supervisory Software · Workflow Control
An offline-first supervisory application enforcing canonical state contracts, transition guards, and status-based operator guidance for a precision engineering system.
Software · Cryptography · Verification
A proof-carrying workspace-state verification architecture for independently checking artifact changes, provenance, scope, and staleness.
Materials · Oxidation · Process Development
Experimental process characterization, modeling, instrumentation, and engineering methods for semiconductor manufacturing systems.
Engineering discipline
Results matter, but so do the assumptions, provenance, failed attempts, validation criteria, and revision history that make a result defensible.
State the physical question, scope, assumptions, and acceptance criteria before interpreting results.
Preserve source identity, inputs, versions, manifests, and the evidence chain behind a result.
Separate successful execution from numerical convergence, physical consistency, and scientific acceptance.
Use explicit dispositions — PASS, CONDITIONAL, FAIL, or NOT_EVALUATED — instead of ambiguous completion states.
Keep enough configuration, data, and revision history for another engineer or researcher to reproduce the path.
Research direction
My work sits at the intersection of solid-state physics, materials science, semiconductor processing, scientific computing, automation, and embedded engineering.
The common thread is methodological: formulate the physical problem, design the measurement or computation, test the assumptions, quantify uncertainty where possible, and preserve enough evidence to make the result reproducible.
About
Massinissa Tinouche is a physicist and engineer working across semiconductor process engineering, computational research, automation, embedded systems, and scientific software.
This site is a technical record of selected work: architectures, models, measurements, validation logic, design decisions, limitations, and results — not only finished outcomes.
OPEN TO COLLABORATION
Research, engineering, and scientific software often meet at the boundaries between disciplines.