My recent research work focuses on:

Collecting and analyzing mobility data: In recent research, accessing significant and mindful data has become important to any study. This is particularly true in studies on understanding and analyzing people's mobility. Unfortunately, the research community is facing significant challenges in accessing such data. Among possible mobility data sources, wireless networks play an essential role since they offer detailed information about user movements and behaviors. The datasets obtained from such networks provide valuable insights for a large set of applications such as network optimization and urban planning.

Resource allocation at the Edge : The rapidly evolving mobile Internet landscape, ultra-responsive and interactive applications are becoming the norm. These applications are characterized by their need for minimal latency and high computational requirements. Computation offloading is possible for these applications by transferring all or part of the resource-intensive computational tasks to a remote server at the network's Edge. Compared to cloud offloading, the benefit of edge offloading is the gain in end-to-end delay, which is essential for time-sensitive applications. However, several challenges remain, particularly their sensitivity to mobility and varying network conditions.