About

Through curiosity-driven research, I add value to multidisciplinary teams with my experience in collaborative research on Data Analytics, Systems Reliability, Deep Learning, Simulation, and Quantum Information Science

Professional Goals

I strive to add value through curiosity-driven research efforts. I thrive when facing challenging objectives with ample learning opportunities, and in environments that fosters collaboration and celebrates diversity of ideas. I enjoy work that allows me to code the day away, develop algorithms, and explore innovative ideas. I am passionate about adapting information science concepts in an existing domain to different fields, innovating in perspectives.

Research Interests

• Systems Reliability and Resilience
• Information Science
• Machine Learning
• Deep Learning and Reinforcement Learning
• Quantum Information Science

Bio

Dr. Azucena is a Postdoctoral Fellow in the Industrial Engineering Department at the University of Arkansas. In 2014, he received a B.Sc. degree in Business Engineering from ESEN, Santa Tecla, El Salvador. In 2022, he received an M.Sc. degree in Industrial Engineering from the University of Arkansas. In 2023, he completed his Ph.D. in Industrial Engineering from the University of Arkansas. His research interests include Network Reliability, Deep Learning, and Quantum Information Science.

Affiliations

• INFORMS
• IISE
• SRE
• SIAM
• Alpha Pi Mu