My research focuses on developing computer vision methods that work under real operating conditions — limited labels, multiple viewpoints, and noisy sensors.

• Object recognition & multi-view analysis — combining evidence across views for robust detection (including X-ray / NDT settings)
• Applied machine learning — pattern recognition and feature learning for scientific and industrial applications
• Scene understanding — people density, flow, and activity cues in indoor environments