Olga Ormandjieva

Dr. Olga Ormandjieva is a Professor in the Computer Science and Software Engineering Department at Concordia University, Montreal, Canada. She is a member of the Ordre des Ingénieurs du Québec (OIQ) and holds a Ph.D. in Computer Science (2002) and a Master's in Computer Science and Mathematics (1987). Her research focuses on software quality engineering, big data quality modeling, and AI-driven cybersecurity solutions for detecting cyber-predators in social media. She has published over 135 peer-reviewed papers and seven book chapters, and supervised seven doctoral and seventeen master's students.

Dr. Ormandjieva's expertise spans measurement in software engineering, empirical software engineering, and formal methods. Her work integrates AI and software engineering best practices to address challenges in big data and cybersecurity. She has received grants from NSERC and other sources, and contributed to academic governance, including CEAB accreditation visits and IEEE leadership roles.

Her recent research emphasizes automated cyber-predator detection and big data quality frameworks like MEGA. She teaches software engineering courses and actively engages in curriculum development, emphasizing real-world applications in healthcare and enterprise systems.

Dr. Ormandjieva's service includes organizing international conferences, reviewing for top journals, and developing methodologies for mobile health UIs and requirement traceability systems. Her work bridges theory and practice, addressing critical issues in software reliability, user-centric design, and ethical AI applications.