most citedBio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems

2 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.DC2026

NeSy-Edge: Neuro-Symbolic Trustworthy Self-Healing in the Computing Continuum

Peihan Ye, Alfreds Lapkovskis, Alaa Saleh +2

The computational demands of modern AI services are increasingly shifting execution beyond centralized clouds toward a computing continuum spanning edge and end devices. However, t…

cs.DC2026

LLM-assisted Agentic Edge Intelligence Framework

Chinmaya Kumar Dehury, Siddharth Singh Kushwaha, Qiyang Zhang +2

Edge intelligence delivers low-latency inference, yet most edge analytics remain hard-coded and must be redeployed as conditions change. When data patterns shift or new questions a…

cs.AI20262 cited

Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems

Alaa Saleh, Praveen Kumar Donta, Roberto Morabito +6

Human biological systems sustain life through extraordinary resilience, continually detecting damage, orchestrating targeted responses, and restoring function through self-healing.…

cs.CY2025

Socio-technical aspects of Agentic AI

Praveen Kumar Donta, Alaa Saleh, Ying Li +15

Agentic Artificial Intelligence (AI) represents a fundamental shift in the design of intelligent systems, characterized by interconnected components that collectively enable autono…

cs.NI2025

Agentic TinyML for Intent-aware Handover in 6G Wireless Networks

Alaa Saleh, Roberto Morabito, Sasu Tarkoma +3

As 6G networks evolve into increasingly AI-driven, user-centric ecosystems, traditional reactive handover mechanisms demonstrate limitations, especially in mobile edge computing an…

cs.AI2025

UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces

Alaa Saleh, Sasu Tarkoma, Praveen Kumar Donta +5

Agentic Artificial Intelligence (AI) constitutes a transformative paradigm in the evolution of intelligent agents and decision-support systems, redefining smart environments by enh…