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Where Should Knowledge Enter? A Layered Framework for Knowledge Infusion in Multimodal Iterative Generative Model
Renjith Prasad, Chathurangi Shyalika, Anushka Pawar +2
Multimodal generative models produce fluent outputs but remain unreliable when generation must respect structured, domain-specific, or safety-critical knowledge. Existing methods i…
Results and Retrospective Analysis of the CODS 2025 AssetOpsBench Challenge
Dhaval Patel, Chathurangi Shyalika, Suryanarayana Reddy Yarrabothula +4
Competition retrospectives are useful when they explain what a leaderboard measured, how hidden evaluation changed conclusions, and which design patterns were rewarded. We revisit…
IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance
Chathurangi Shyalika, Dhaval Patel, Amit Sheth
Industrial maintenance environments increasingly rely on AI systems to assist operators in understanding asset behavior, diagnosing failures, and evaluating interventions. Although…
CausalPulse: An Industrial-Grade Neurosymbolic Multi-Agent Copilot for Causal Diagnostics in Smart Manufacturing
Chathurangi Shyalika, Utkarshani Jaimini, Cory Henson +1
Modern manufacturing environments demand real-time, trustworthy, and interpretable root-cause insights to sustain productivity and quality. Traditional analytics pipelines often tr…
CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing
Chathurangi Shyalika, Aryaman Sharma, Fadi El Kalach +4
Modern manufacturing environments demand not only accurate predictions but also interpretable insights to process anomalies, root causes, and potential interventions. Existing AI s…
SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturing
Chathurangi Shyalika, Renjith Prasad, Alaa Al Ghazo +4
In the dynamic landscape of Industry 4.0, achieving efficiency, precision, and adaptability is essential to optimize manufacturing operations. Industries suffer due to supply chain…
A Comprehensive Survey on Rare Event Prediction
Chathurangi Shyalika, Ruwan Wickramarachchi, Amit Sheth
Rare event prediction involves identifying and forecasting events with a low probability using machine learning (ML) and data analysis. Due to the imbalanced data distributions, wh…