Adolfo R. Escobedo

Adolfo R. Escobedo is an Associate Professor in the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. His research focuses on mathematical programming, power systems operations, circular economy, computational social choice, and computational linear algebra. He has received prestigious awards including the NSF CAREER Award (2024) and the INFORMS MIF Early Career Award (2023). His work bridges theoretical advancements in optimization algorithms with practical applications in energy systems, crowd intelligence, and STEM education equity.

• Education: PhD in Industrial Engineering from Texas A&M University (2016), BA in Mathematics from California State University-Los Angeles (2009).
• Affiliations: Member of the College of Engineering, actively contributing to interdisciplinary research and education initiatives.

His research emphasizes robust numerical guarantees in optimization solvers, with a focus on overcoming computational bottlenecks in linear and mixed-integer programming. Recent projects include developing open-source tools for reliable optimization software and launching inclusive STEM education programs targeting underrepresented minorities. Escobedo’s work also addresses societal challenges such as sustainable power systems and waste management through data-driven models.

His publications highlight contributions to rank aggregation, crowd wisdom enhancement, and exact matrix factorization techniques. Beyond academia, he advocates for diversity in STEM through recruitment programs and research internships.

• Key Grants: NSF CAREER Award (2024), CRII: III Grant (2019).
• Labs/Teams: Leads research groups focused on optimization algorithms and computational social choice, collaborating with interdisciplinary teams in energy and environmental systems.