Gayane Sedrakyan

Gayane Sedrakyan serves as an Assistant Professor in the Department of Industrial Engineering & Business Information Systems, with research spanning computer science, healthcare, education, and food systems. Her work bridges theoretical frameworks with practical applications of emerging technologies across critical societal domains.

Her research focuses on human-centric AI systems, particularly in health equity and educational technology. She investigates semantic interoperability in food systems, low-code security frameworks, and digital feedback mechanisms in post-pandemic education. Key areas include explainable AI for reproductive healthcare, privacy-aware agricultural data platforms, and chatbot integration in learning management systems, all emphasizing user experience and ethical design.

Recent publication trends reveal three dominant trajectories: healthcare applications (human-centric recommender systems for health equity), educational innovation (AI chatbots in Education 5.0 and hybrid classroom feedback), and sustainable food systems (cross-sectoral data platforms and semantic tools). Her work consistently integrates process-oriented security in low-code development while addressing societal challenges through interdisciplinary approaches.

Dr. Sedrakyan actively contributes to academic discourse through community building, having co-organized the 2023 Workshop on Controlled Vocabularies and Data Platforms for Smart Food Systems, which advanced collaborative research in food system digitization.