Chanda Hirway

Chanda Hirway is an Assistant Lecturer at Technological University of the Shannon's Department of Computer and Software Engineering. Her research focuses on developing AI-driven solutions for email analysis and consumer communication processing. Current projects employ generative AI and ensemble learning methods to improve intent classification in truncated communications and receipt identification systems.

Hirway's technical approaches include LSTM networks, transformer models (GPT-Neo, GPT-2), and deep learning architectures designed to minimize false negatives in email classification. Her work has applications in retail analytics and consumer behavior research.