669 citations · 1.8k across the 68 of their papers we have counts for
72 papers
pi-Net: Empirical Latent Representations for Differentiable Physics Heads in Data-Scarce Systems
Akshay Dhalpe, Arnab Chattopadhyay, Shahriar Bakrani Balani +2
Developing reliable predictive models for multi-physics systems often forces a compromise between computationally demanding physical simulators and data-hungry, opaque machine lear…
AeroMig: Multi-modal Inverse-Gamma modeling for aerosol particle number size distributions
Abdur Rahman, Juha Kangasluoma, Santtu Mikkonen +4
Aerosol particles play a critical role in air quality, human health, and climate processes, making their accurate characterization essential. One common way to represent aerosol po…
SE-MoLoRA: Shared-Expert LoRA Adapters for Domain-Specific Photographic Assessment
Bishwash Khanal, Anlan Zhang, Sasu Tarkoma +2
Vision-language models can describe images fluently, but they often fail to provide actionable photographic critique because semantic content and aesthetic judgment remain entangle…
MELD: A Protocol for Merging Knowledge Across Distributed Agentic Memories
Lauri Lovén, Jaakko Sauvola, Jukka Riekki +1
Autonomous agents share a transport and can call each other's tools, but they cannot share what they know: no protocol lets two agents' memories reconcile a fact phrased two ways,…
UrbanWell: Benchmarking Multimodal Large Language Models for Spatio-Temporal Urban Wellbeing Analytics
Yanxin Xi, Xiang Su, Jie Feng +3
Understanding urban wellbeing from multimodal data requires integrating heterogeneous spatial and temporal signals, posing significant challenges for current multimodal large langu…
Autonomic Federated-Market Orchestration for the Edge-Cloud Continuum
Lauri Lovén, Roberto Morabito, Abhishek Kumar +3
The edge-cloud computing continuum demands self-management mechanisms that scale across autonomous administrative domains while honouring tenant- and operator-specified data sovere…
Neural Router: Semantic Content Matching for Agentic AI
Lauri Lovén, Abhishek Kumar, Alexander Engelhardt +5
Large language models (LLMs) can serve as the semantic-matching engine of a content-based publish/subscribe broker for agentic AI across the edge-cloud computing continuum, bridgin…
An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum
Suvi De Silva, Alfreds Lapkovskis, Alaa Saleh +2
Grey failures in the computing continuum produce ambiguous overlapping symptoms that existing approaches fail to diagnose reliably, either due to a lack of causal awareness or acti…
Credibility Trilemma in Polymatroidal Service Markets
Lauri Lovén, Sujit Gujar, Kalle Timperi +4
Mechanism-mediated service markets with polymatroidal feasibility admit efficient, dominant-strategy incentive-compatible (DSIC) allocation, but these guarantees implicitly assume…
The Behavioral Credibility Trilemma: When Calibrated Autonomy Becomes Impossible
Lauri Lovén, Nam Do, Hassan Mehmood +2
We prove that no reinforcement learning policy with confidence-gated autonomy can simultaneously achieve maximum helpfulness, optimal calibration, and full autonomy under rational…
The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting
Lauri Lovén, Sasu Tarkoma
An agent's probability report is paid for twice: by a strictly proper scoring rule, and by an approval rule for the decision it triggers. In this classical decision-coupled setting…
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.…
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…
Creation of AI-driven Smart Spaces for Enhanced Indoor Environments -- A Survey
Aygün Varol, Naser Hossein Motlagh, Mirka Leino +2
Smart spaces are ubiquitous computing environments that integrate diverse sensing and communication technologies to enhance space functionality, optimize energy utilization, and im…
Future-Proofing Mobile Networks: A Digital Twin Approach to Multi-Signal Management
Roberto Morabito, Bivek Pandey, Paulius Daubaris +2
Digital Twins (DTs) are set to become a key enabling technology in future wireless networks, with their use in network management increasing significantly. We developed a DT framew…
From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas
Yanxin Xi, Yu Liu, Zhicheng Liu +3
The Sustainable Development Goals (SDGs) aim to resolve societal challenges, such as eradicating poverty and improving the lives of vulnerable populations in impoverished areas. Th…