SCIENTIFIC AI / METHODS & EVALUATION

2 SELECTED STUDIES

AI research.
Methods & evidence.

Two focused studies in generative modeling and operations research. Each connects a technical question to inspectable model code, experimental artifacts, and a clear account of the study's scope.

Research implementations with original sample outputs and simulated optimization results. Open each study for its method and assumptions.

Four generated floorplan image variations from the conditional GAN research implementation
ORIGINAL FIGURE · PUBLIC REPOSITORY

01 / GENERATIVE MODELING

Conditional GAN Floorplans

A PyTorch research implementation of text-conditioned floorplan image synthesis, with model code, saved weights, and sample outputs.

pytorchconditional-gancomputer-vision
Map of candidate EV charging sites, simulated demand districts, and selected coverage areas
ORIGINAL FIGURE · PUBLIC REPOSITORY

02 / MATHEMATICAL OPTIMIZATION

EV Charging Facility Optimization

A simulated facility-siting study using mixed-integer optimization to explore charging coverage and location tradeoffs.

operations-researchmilppulp

MASTER PORTFOLIO HUB

The complete
body of work.

The Applied AI and Data Science Portfolio brings together the wider body of work and labs across vision, language, deep learning, time series, classification, and optimization.

Explore the master repository

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abdul.rehman@team.rapidetechnologies.com