Mobile cloud forensics is a critical research domain that addresses the challenges of investigating digital evidence distributed across mobile devices and cloud infrastructures. It focuses on developing systematic frameworks, tools, and methodologies to ensure the secure acquisition, preservation, and analysis of forensic data in hybrid environments. Key research topics include forensic process model design, automated evidence collection and correlation, and secure chain of custody for cloud-synchronized data. Other significant areas encompass machine learning-assisted evidence identification, blockchain-based integrity verification, and privacy-preserving forensic analysis techniques. Emerging directions explore forensic readiness in mobile-cloud ecosystems, AI-driven anomaly detection, multi-jurisdictional legal compliance, and the development of cross-platform forensic tools for diverse mobile operating systems and cloud providers. Additionally, integrating big data analytics for large-scale evidence handling, ensuring forensic soundness in virtualized environments, and creating standardized investigation protocols remain crucial research challenges in advancing the field of mobile cloud forensics.