PhD research validating LLM understanding of market microstructure through obfuscation testing. Novel methodology proves LLMs detect dealer hedging constraints without temporal context. P#1: 71.5% detection, 91.2% accuracy

Low-Dose CT Reconstruction (Diffusion vs UNet/SwinIR)

Modular AI/ML framework in MATLAB for classification. PhD project T-DTS v3.0 — tree-based, entropy-driven, RBF-enabled ANN. Based on work by Dr. Rybnik.

PhD Research Framework for Data-Driven Modeling of Elastic-Plastic Material Behavior. A comprehensive library providing tools for defining, training, and validating neural network-based constitutive models against simulation data.

📚 Comprehensive learning notes and Python implementations for Coursera's "Remote Sensing Image Acquisition, Analysis, and Applications" course. Features 15 weeks of detailed notes, 15+ Python scripts, and original diagrams for AI-powered environmental monitoring research.

A public repository for my Design Research Resources project. Contains open-access databases of global design journals and academic conferences for design researchers and educators.