Writing

Research Notes

14 articles drawn from published research — each paper distilled into a concise, reader-friendly post covering key findings, contributions, and practical implications.

AI Safety & Governance9 min2026-01MDPI ICETAS 2026

Governance-Constrained Agentic AI: Blockchain-Enforced Human Oversight for Safety-Critical Wildfire Monitoring

Wildfire detection demands both speed and accountability. This paper introduces a blockchain-enforced, governance-aware agentic AI architecture that combines hierarchical multi-agent UAV coordination with mandatory human-authorization checkpoints—delivering cryptographically verifiable responsibility without sacrificing adaptive detection performance.

AI SafetyBlockchainAI GovernanceDisaster Response
Cybersecurity & IoT8 min2026-01MDPI ICETAS 2026

Agents for Agents: An Interrogator-Based Secure Framework for Autonomous Internet of Underwater Things

Static trust models collapse in long-duration underwater missions. This paper presents a behavioral trust-monitoring interrogator that dynamically scores underwater agents using a lightweight transformer—storing tamper-proof evidence on a permissioned blockchain—achieving a 21.7% improvement in detection accuracy over static baselines.

Agentic AIBlockchainCybersecurityIoT
Deep RL & Disaster AI10 min2026-01MDPI Mathematics 2026

Multi-Agent Reinforcement Learning for Cloudburst Prediction and Disaster Response

Uncertainty is the enemy of effective disaster response. This work introduces a risk-aware multi-agent deep reinforcement learning framework that explicitly quantifies prediction uncertainty and applies risk-sensitive policy optimization to coordinate cloudburst response—pushing the frontier beyond deterministic agentic forecasting.

Multi-Agent RLDeep RLDisaster ResponseSafety
Research Insights8 min2025-12IEEE ICCA 2025

Blockchain as a Trust Anchor for Autonomous AI: The Perception–Reasoning–Action Pipeline

Can blockchain's immutability solve the auditability crisis in agentic AI? This paper introduces a LangChain-based multi-agent system with Hyperledger Fabric governance, demonstrating trusted autonomous decision-making across healthcare, smart cities, and supply chain applications.

Agentic AIBlockchainArchitectureAI Safety
Applications7 min2025-12IEEE ICCA 2025

FinAgent: When Agentic AI Meets Household Budgets and Nutrition

Food security meets AI: FinAgent is a price-aware multi-agent system that simultaneously optimizes personal finance and dietary nutrition, achieving a 12–18% cost reduction with over 95% nutritional adequacy in real-world Saudi household simulations.

Agentic AIFinanceLLMsApplications
Climate & Disaster AI9 min2025-11ICBDT 2025

From Forecast to Evacuation: Closing the Loop on Cloudburst Response with Agentic AI

Traditional disaster systems treat prediction and response as separate processes. This paper unifies them in a closed-loop agentic AI framework—spanning sensing, forecasting, hydrological modeling, and coordinated evacuation—validated on multi-year radar data from northern Pakistan.

Agentic AIDisaster ResponsePredictionSafety
Operations & Automation6 min2025-11ICBDT 2025

Autonomous Supply Chains: Agentic AI for Smart Inventory Replenishment

Supply chain disruptions cost businesses trillions annually. This paper presents an agentic AI pipeline that integrates real-time demand forecasting with autonomous procurement decisions, enabling intelligent inventory replenishment under conditions of supply uncertainty.

Agentic AISupply ChainAutomationLLMs
Inclusive Design7 min2025-11ICBDT 2025

Inclusive AI: Multi-Agent Systems for Individuals with Disabilities and Neurodivergence

AI accessibility is about more than screen readers. This work deploys a multi-agent agentic AI system tailored to the daily routines, dietary needs, and cognitive patterns of individuals with disabilities and neurodivergent conditions—making personalized assistance a reality.

Agentic AIAccessibilityInclusionLLMs
FinTech & Digital Twins8 min2025-09Springer 2025

Predicting Customer Churn Before It Happens: Agentic Digital Twins in Retail Banking

What if banks could simulate every customer's future behavior? This paper introduces an agentic digital-twin framework that continuously models retail banking customers, predicts churn, and autonomously executes explainable retention strategies—transforming reactive CRM into proactive relationship management.

Digital TwinsAgentic AIBankingPrediction
Applications6 min2025-08ETASR 2025

FinNutriAgent: Dual-Objective Agentic Planning for Budget and Nutrition

Most planning tools optimize one objective. FinNutriAgent (FNA) optimizes two simultaneously—household budget and personal nutrition—using constrained reasoning pipelines and preference-based alignment to produce plans that are both affordable and healthy.

Agentic AIFinanceNutritionPlanning
AI Governance10 min2025-07Heliyon 2025

Governing Agentic AI in Universities: Ethical Frameworks for Responsible Academic Deployment

Autonomous AI tutors and graders are arriving on campuses. This paper provides a comprehensive governance framework for higher education institutions deploying agentic AI—addressing algorithmic bias, academic integrity, opacity in decision-making, and student data rights.

AI GovernanceEthicsEducationPolicy
Cybersecurity & Governance8 min2025-06IEEE Internet of Things Journal 2025

Ethical AI Governance for Cybersecurity in Renewable Energy IoT

As solar farms and wind turbines become AI-managed IoT networks, cybersecurity governance must evolve. This paper proposes principled governance frameworks for AI-driven threat detection and autonomous incident response in renewable energy infrastructure—with formal human-oversight accountability.

AI GovernanceCybersecurityIoTEnergy
Smart Cities9 min2025-05PLOS ONE 2025

Agentic AI-Enhanced Digital Twins: Bringing Autonomous Intelligence to Smart Cities

Digital twins simulate cities; agentic AI drives them. This paper investigates how integrating agentic AI within smart-city digital twin frameworks enables real-time autonomous optimization of urban infrastructure, traffic systems, and energy grids with continuous simulation feedback.

Digital TwinsSmart CitiesAgentic AIInfrastructure
AI Governance7 min2025-04Springer 2025

AI Tools in Academia: A Framework for Maintaining Integrity While Embracing Innovation

AI tools are already in classrooms and research labs. Rather than ban them, this paper provides comprehensive guidelines for ethical AI use in academic settings—balancing genuine pedagogical benefits against integrity, fairness, and attribution risks—with a policy adoption roadmap for institutions.

AI GovernanceAcademic IntegrityEthicsGuidelines

Stay Updated

Follow on Google Scholar for the latest publication updates and citation metrics.

Follow on Google Scholar