Lectures

Across our digital lives, two powerful forces of data utility and data privacy push and pull against each other. In …

Building a useful machine learning model is a challenging process, requiring human expertise to perform various proper tasks and ensure …

Traffic simulation software is used by transportation researchers and engineers to design, and evaluate the efficacy of, changes intended to …

Anomaly Detection has been researched in various domains with several applications in intrusion detection, fraud detection, system health management, and …

Convolutional Neural Network (CNN) is a type of Artificial Neural Network (ANN) designed explicitly for processing unstructured data, such as …

Environmental parameters (e.g., water quality, vegetation, and weather) measuring, monitoring, and estimation are critical for threat detection and mitigation. As …