The roads and highways are a valuable asset for the state department of transportation. It takes massive investment and a huge amount of time to maintain the road assets [...]

The last decade has witnessed tremendous advances in cloud computing, IoT, and computer vision. IoT computer vision brings powerful capabilities that enables society to t[...]

AI processing has been a big area of focus for the research community for quite some years. The growing computation capability of edge devices has allowed Computer Vision[...]

The use of video streaming has been growing rapidly in the recent years and has beenutilized in various applications. Many of these applications are latency sensitive, bu[...]

The proliferation of connected devices creates various use cases and heterogeneous services, e.g., augmented/virtual reality (AR/VR), vehicle-to-everything (V2X), and mob[...]

The prevalence of computation-intensive and latency-sensitive mobile applications, such as mobile augmented reality (MAR) and autonomous driving, has an utmost effect on [...]

This dissertation presents the systematic design and development of datasets, algorithms, and an AI pipeline specifically curated for real-time trajectory prediction and [...]

The AI-digital era is characterized by an unprecedented surge in data usage, spanning from data centers to IoT devices. This growth has driven the evolution of AI-optimiz[...]

The rise of AI powered computer vision algorithms offers the possibility of intelligent data processing, and decision making based on streaming data from video cameras. A[...]

Mobile crowdsensing (MCS) has been emerging as a new sensing paradigm where vast numbers of mobile devices are used for sensing and collecting data in various applica- ti[...]