most citedAutomating SBOM Generation with Zero-Shot Semantic Similarity

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NI2026

Intent2Tc: Automated Intent-to-Traffic Control Translation with Language Models

Andrea Masini, Sudipta Acharya, Paolo Bellavista +2

Automated and highly usable Quality-of-Service (QoS) enforcement requires translating high-level service intents into deployable traffic-management policies. Although intent-based…

cs.NI2026

NDT Factory: Synthesizing Verified Network Digital Twins from Semantic Models via Multi-Agent LLM

Sudipta Acharya, Petar Djukic, Burak Kantarci

Autonomous network management requires systems that can evaluate Network Service Intents (NSIs) under varying conditions without manual implementation of analysis logic, as envisio…

cs.NI2026

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective

Petar Djukic, Sudipta Acharya, Takai Eddine Kennouche +1

Standards bodies, including TM Forum, 3GPP, and ETSI, are converging on Agentic AI as the foundation for next-generation network management, where Large AI Model (LAM)-based agents…

cs.NI2026

Intent2QoS: Language Model-Driven Automation of Traffic Shaping Configurations

Sudipta Acharya, Burak Kantarci

Traffic shaping and Quality of Service (QoS) enforcement are critical for managing bandwidth, latency, and fairness in networks. These tasks often rely on low-level traffic control…

cs.SE2024★ 1 cited

Automating SBOM Generation with Zero-Shot Semantic Similarity

Devin Pereira, Christopher Molloy, Sudipta Acharya +1

It is becoming increasingly important in the software industry, especially with the growing complexity of software ecosystems and the emphasis on security and compliance for manufa…