Skanda Bharadwaj

I’m a PhD candidate at the Laboratory for Perception, Action, and Cognition (LPAC) at Penn State University, advised by Prof. Yanxi Liu, and Prof. Robert Collins. My research interests are at the intersection of Computer Vision and Machine Learning, specifically in vanishing point detection and human stability analysis. My current work explores the discovery of implicit visual patterns to robustly estimate vanishing points and investigates cross-modality transformer methods for analyzing human stability using foot pressure and body pose data.

Previously, during my master’s degree at Penn State, I specialized in motion estimation for biomedical imaging applications under the guidance of Prof. Mohamed Almekkawy at the UIT lab. My work included developing deep learning-based tracking methods combined with Kalman filtering for enhanced object tracking in ultrasound image sequences, significantly improving arterial wall motion analysis.

Prior to graduate school, I spent over three years as a Computer Vision Engineer at Continental, India, developing algorithms for multi-object tracking and traffic sign recognition for Advanced Driver Assistance Systems (ADAS) aimed at autonomous driving. This role allowed me to collaborate closely on automotive projects for major global manufacturers, including BMW, Toyota, and Honda, focusing on enhancing tracker performance and reliability in real-world driving conditions.