Mauricio Fadel Argerich
Papers
1
Total Citations
2
H-Index
1
About
Mauricio Fadel Argerich is a leading researcher at the intersection of data-driven infrastructure management and artificial intelligence for IT operations (AIOps). His work focuses on developing intelligent systems that automate the management of complex, distributed, and containerized big data applications running on heterogeneous cloud and cluster infrastructures. Argerich’s key contribution lies in leveraging data analytics and machine learning to optimize the performance, reliability, and cost-efficiency of large-scale data-intensive operations. His most-cited paper, "Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations" (2021), has garnered 2 citations and lays the foundation for a new paradigm in infrastructure automation. By addressing the growing challenges of remote, heterogeneous deployments, Argerich’s research enables organizations to reduce operational complexity and improve system resilience. His work is particularly impactful for students and practitioners seeking to bridge the gap between big data engineering and intelligent operations. Argerich continues to advance the field by developing scalable, data-centric solutions that empower next-generation AIOps platforms.
Research Focus
Key Achievements
Top Papers
- 1