Big Data Analytics aim to address the challenges of analyzing and extracting insights from massive datasets across various domains. By focusing on topics such as real-time analytics, machine learning, data privacy, and domain-specific applications, this research will contribute to the advancement of Big Data technologies and help solve pressing global issues. The interdisciplinary nature of Big Data research offers exciting opportunities for developing novel techniques and making significant contributions to fields such as healthcare, finance, smart cities, and environmental sustainability.Big Data Analytics offers the ability to extract meaningful insights, make data-driven decisions, and provide solutions to complex real-world problems. However, managing and analyzing massive datasets presents several challenges, including data preprocessing, efficient storage, real-time processing, and extracting actionable insights. This series of PhD research projects will explore various aspects of Big Data Analytics, from developing new algorithms to applying advanced analytical techniques for addressing domain-specific challenges.