Hi, I’m Imran Khan

A physicist by training, exploring the world through computation and light-matter interaction .

I’ve always been captivated by how nature works and how to explain it —I am curiously exploring and learning from the laws of physics and using intelligent systems and tools. This site reflects my journey to bridge these two realms, sharing projects, research.

Featured AI/CV projects </>

Chest X-Ray Pneumonia Classification
Multi-Class CNN (Normal / Viral / Bacterial)

End-to-end exploration of pneumonia detection( Normal, Viral, and Bacterial) on chest X-rays using both classical machine learning(PCA, SVM) and deep convolutional networks and transfer learning(Resnet-50).

Automated Image Quality Assessment (IQA) for SEM Metrology
SEM Metrology

SSIM,PSNR,for full reference image quality assesment . Normalized Variance Focus Score (Normvar), and BRISQUE for No-reference. Domain specific quantification methods such as Histogram comparison and Frequency-domain (FFT) for SEM tool health assesment.

California Housing Price Prediction
MLOPS

A rigorous, end-to-end machine learning workflow to predict median house values in California census block groups. The primary goal was to systematically compare the performance of diverse modeling techniques—from classical regression to advanced boosting.

Featured research projects

Scattering by Nanoplasmonic Mesoscale Assemblies
Angular Scattering Modeling

Studied how gold nanoparticle shells reshape the angular scattering of dielectric microspheres. Using a hybrid MFS + Foldy–Lax model, showed that AuNP coatings suppress Mie sidelobes and enhance forward scattering through phase decoherence and plasmonic multiple scattering.

Modeling Broadband Cloaking Using Nano-Assembled Plasmonic Meta-Structures
Computational EM | Plasmonics Cloaking

Developed a hybrid computational model combining MFS and Foldy–Lax theory to study plasmonic nano-shells. Demonstrated how dense AuNP coatings cancel Mie scattering through multipole interference, enabling broadband optical cloaking and tunable far-field response.

Experimental demonstration of Scattering Suppression in AuNP-Coated Dielectric Microspheres
Experimental Optics | SEM

Experimentally demonstrated scattering suppression in AuNP-coated silica microspheres through nano-fabrication, SEM characterization, and integrating-sphere measurements. Validated key trends predicted by plasmonic cloaking simulations, showing reduced scattering intensity in the 400–600 nm band.

Chest X-Ray Pneumonia Classification Multi-Class CNN (Normal / Viral / Bacterial)

Automated Image Quality Assessment (IQA) for SEM Metrology SEM Metrology

California Housing Price Prediction MLOPS

Scattering by Nanoplasmonic Mesoscale Assemblies Angular Scattering Modeling

Modeling Broadband Cloaking Using Nano-Assembled Plasmonic Meta-Structures Computational EM | Plasmonics Cloaking