669 citations · 1.8k across the 68 of their papers we have counts for
9 papers · 1 filter
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…
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…
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
Martha Arbayani Zaidan, Naser Hossein Motlagh, Petteri Nurmi +4
Atmospheric sciences are crucial for understanding environmental phenomena ranging from air quality to extreme weather events, and climate change. Recent breakthroughs in sensing,…
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques
Adarsh Prasad Behera, Jaya Prakash Champati, Roberto Morabito +2
Recent progress in Language Models (LMs) has dramatically advanced the field of natural language processing (NLP), excelling at tasks like text generation, summarization, and quest…
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…
Exponentially Weighted Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection Model Training in Unmanned Aerial Vehicles Surveillance Scenarios
Taufiq Ahmed, Abhishek Kumar, Constantino Álvarez Casado +5
Object detection models often struggle with class imbalance, where rare categories appear significantly less frequently than common ones. Existing sampling-based rebalancing strate…
Sometimes Painful but Certainly Promising: Feasibility and Trade-offs of Language Model Inference at the Edge
Maximilian Abstreiter, Sasu Tarkoma, Roberto Morabito
The rapid rise of Language Models (LMs) has expanded the capabilities of natural language processing, powering applications from text generation to complex decision-making. While s…
Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things
Talha Zeeshan, Abhishek Kumar, Susanna Pirttikangas +1
This paper presents the development and evaluation of a Large Language Model (LLM), also known as foundation models, based multi-agent system framework for complex event processing…
Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?
Guanghan Wu, Sasu Tarkoma, Roberto Morabito
The evolving requirements of Internet of Things (IoT) applications are driving an increasing shift toward bringing intelligence to the edge, enabling real-time insights and decisio…