ADVIS-SR: Real-Time Anomaly Detection for Safe Human–Robot Interaction in real industrial scenario EU Project 🇪🇺
Industrial Safety Detector using deep Generative models based Anomaly Detection on real world
Projects & Research Work
This page highlights selected research projects, industrial systems, and open-source contributions spanning Explainable AI, Computer Vision, Anomaly Detection, and Industrial AI.
ADVIS-UniGra: RGB Anomaly Detection for Safe Human–Robot Collaboration EU Projects 🇪🇺
RGB-based anomaly detection application for safety monitoring in collaborative robotics environments using synthetic industrial data.
ShapBPT: Image Feature Attributions using Data-Aware Binary Partition Trees Research
A data-aware XAI method for image feature attribution using Binary Partition Trees and hierarchical Shapley values.
AI on Edge Devices Research/Edge AI
Lightweight AI deployment on edge devices, including Raspberry Pi-based computer vision systems.
Explainable Anomaly Detection Explainable AI
A case study on building trust in anomaly detection systems using VAE-GAN models and explainable AI.
LIME Stratified Sampling Explainable AI
An improved LIME sampling strategy for generating more stable and reliable image explanations.
Applied and Freelance Research Projects Applied AI
Applied research and freelance projects in medical imaging, computer vision, machine learning, and intelligent decision systems.