Ramamurthy pursuing advanced speed, intelligence, efficiency of data networks
Ramamurthy pursuing advanced speed, intelligence, efficiency of data networks
Publish Date: 2026-02-09 01:32:00
Source Domain: news.unl.edu
- Research led by Byrav Ramamurthy, a computer scientist at the University of Nebraska–Lincoln, focuses on innovating data network speed, intelligence, and efficiency through projects at the intersection of AI and next-generation connectivity.
- The projects, funded by the National Science Foundation and the U.S. Department of Energy, aim to manage and analyze massive data flows in scientific and digital infrastructure.
- Two of the projects utilize AI and machine learning to interpret complex, high-volume datasets, focusing on Internet2 traffic and caching logs from the Open Science Grid.
- The Internet2-related project involves classifying network traffic, detecting anomalies, and understanding data movement.
- The DOE-supported project on the Open Science Grid uses machine learning to predict data requests, thereby optimizing data pre-fetching and storage to reduce bottlenecks in high-energy physics experiments.
- A third NSF-funded project investigates advanced technologies for optical networks to enhance their speed, energy efficiency, and cost-effectiveness.
- High-speed networks are essential for AI advancements due to their ability to support distributed applications across multiple sites with high-bandwidth connectivity.
- Ramamurthy’s research team includes doctoral students and collaborators from various institutions to achieve these innovative goals.
