Kevin Chang
Kevin Chang is a master's degree student in the Department of Computer Science. His advisor is Chang-Tien Lu.
His work centers on generative artificial intelligence systems, particularly agentic workflow orchestration and Retrieval-Augmented Generation (RAG). He is focused on building scalable multi-agent systems, developing evaluation frameworks, and implementing responsible AI controls to ensure reliable and auditable decision-support systems.
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