I work on large-scale data systems, cloud computing, distributed data processing, and optimization, with current interests at the intersection of Big Data and Artificial Intelligence, including scalable AI-powered data systems. I welcome collaboration with students, academic researchers, and industry partners.
Mahdi Ebrahimi is an Associate Professor of Computer Science at California State University, Northridge (CSUN). His research focuses on Big Data, data-intensive systems, cloud computing, and optimization.
His current work explores the intersection of Big Data and Artificial Intelligence, particularly scalable AI-powered data systems and intelligent data analytics. His research has appeared in peer-reviewed journals and conference proceedings, including IEEE Big Data venues.
My research centers on large-scale data systems and their intersection with cloud computing, optimization, and modern AI.
Large-scale data processing, Apache Spark, distributed analytics, scientific workflows, and scalable data management.
Scalable AI systems that integrate LLMs, retrieval-augmented generation, vector retrieval, and large-scale data processing.
Resource allocation, data placement, workflow scheduling, and optimization of data-intensive cloud applications.
AI- and data-driven approaches to workload scheduling, energy efficiency, thermal management, and resource optimization.
A snapshot of my current publication activity and established research themes. See the Publications page for the complete record.
J. Penaojas, K. Salimkhan, M. Fullton, H. Locke, M. Smith, C. Wang, X. Ruan, M. Ebrahimi, and X.-F. Jiang.
IEEE Consumer Communications & Networking Conference (CCNC), 2026.Data-intensive workflow management, scheduling, data placement, and cloud execution, including the DATAVIEW workflow management system.
Big Data • Scientific Workflows • Cloud ComputingOptimization approaches for placement, allocation, and execution of data-intensive workloads in cloud environments.
Optimization • Scheduling • Cloud SystemsI welcome motivated Master's students, academic collaborators, and industry partners interested in advancing research and applications in large-scale data and AI-powered systems.
I advise research-oriented Master's projects involving Big Data, distributed data processing, cloud computing, optimization, and AI-powered data systems.
I am interested in collaborative research involving Big Data, distributed systems, cloud computing, AI-powered data systems, intelligent infrastructure, and optimization.
I welcome applied research, sponsored student projects, datasets and case studies, and collaborations involving large-scale data, cloud platforms, and AI systems.
Apache Spark, distributed processing, scalable analytics, and modern data platforms.
Data modeling, SQL, database design, and data management.
System architecture, processes, concurrency, memory, and storage.
Security principles, network/system security, and applied security concepts.
I welcome inquiries from Master's students, faculty and researchers, and industry partners interested in Big Data, cloud computing, distributed data systems, optimization, and AI-powered data systems.
JD-4421
Department of Computer Science
California State University, Northridge
(818) 677-6739