Myeong-Ha Hwang

Korea Electric Power Corporation (South Korea)

Papers

Total Citations

H-Index

About

Myeong-Ha Hwang is a leading researcher in deep learning-based conversational AI and enterprise automation, with a focus on advancing natural language understanding (NLU) and robotic process automation (RPA). Hwang’s major contributions include the development of Ensemble-NQG-T5, a neural question generation model that enhances chatbot training by automatically creating learning datasets, reducing reliance on human resources—a breakthrough cited 21 times. Additionally, Hwang pioneered KoRASA, an optimized open-source Korean NLU framework that addresses functional scalability challenges in deep learning chatbots, garnering 11 citations. In the automation domain, Hwang introduced EnterRPA, an open-source RPA platform designed to streamline enterprise workflows and mitigate failure risks associated with software-driven task automation. Hwang’s work is notable for its practical impact, bridging the gap between cutting-edge AI research and real-world deployment in industries such as customer service and knowledge management. With a growing citation record and a focus on scalable, open-source solutions, Hwang continues to shape the future of conversational AI and enterprise efficiency.