Rehan Akbar

Unit: Florida International University, School of Computing and Information Sciences

Title: Associate Teaching Professor

Research Expertise

Dr. Rehan Akbar is an accomplished researcher whose expertise lies at the intersection of software engineering, cybersecurity, big data, and global software development. His research is characterized by a strong focus on solving real-world challenges through innovative, scalable, and secure technological solutions. A significant portion of his work addresses emerging cybersecurity threats, particularly ransomware and malware, where he investigates detection mechanisms, enterprise-level preparedness, and security frameworks for IoT environments using deep learning and AI-driven models.

He has made substantial contributions to the evolution and tailoring of software development processes, especially within the context of small and medium enterprises and globally distributed teams. His work in this area emphasizes agility, process optimization, and contextual adaptation of methodologies, which has been widely recognized in both academic and industry settings.

In the realm of big data, Dr. Rehan has focused on enhancing the usability and interpretability of unstructured and heterogeneous datasets, proposing frameworks that improve data accessibility and decision-making for organizations. His interdisciplinary approach is further reflected in research that bridges human-computer interaction, user experience, and digital transformation.

Through extensive collaborations with institutions in Malaysia, Saudi Arabia, Taiwan, the United States, and the United Kingdom, Dr. Rehan has led and contributed to numerous nationally and internationally funded projects. With a consistent record of publications in high-impact journals and conferences, he remains actively engaged in academic mentorship, editorial responsibilities, and thought leadership in his fields of expertise.


Areas of Expertise/Keywords

Cybersecurity
Software Engineering
Global Software Development
Big Data