Jaime Arguello

Jaime Arguello is a Professor at the University of North Carolina at Chapel Hill’s School of Information and Library Science (SILS). He holds a PhD in Computer Science from Carnegie Mellon University and has expertise in information retrieval, machine learning, and aggregated search systems. His research focuses on aggregated search, search assistance for complex tasks, and voice-enabled search. He has received the 2015 NSF CAREER Award and multiple best-paper awards. Arguello teaches courses such as Information Retrieval and Text Mining. His funded projects include grants from NSF totaling nearly $500,000 for search assistance systems and learning-oriented search tools.

Education:

• BS (Electrical Engineering), Washington University
• MS (Language Technologies and Information Systems Management), Carnegie Mellon University
• PhD (Language Technologies), Carnegie Mellon University

Research Interests: His work addresses aggregated search system design, user behavior in complex tasks, and the integration of AI tools like GenAI into search processes. Key contributions include methodologies for evaluating aggregated search results and tools like OrgBox for procedural search tasks.

Awards:

• 2015 NSF CAREER Award
• Best Paper Awards (ECIR'17, IIiX'12, SIGIR'09)

Grants & Projects:

• NSF Medium: Athena (Learning-oriented Search)
• NSF Career: Aggregated Search Effectiveness
• NSF-Sponsored Workshop on Task-Based Systems

Labs & Teams: Collaborates on the ResultsSpace environment for collaborative search and leads projects in conversational search and GenAI integration.