Agentic & Multi-Agent Systems
Autonomous workflows, coordination, governance, digital twins, and human oversight for enterprise use cases.
Research & Publications
Research grounded in enterprise reality.
Peer-reviewed work across enterprise AI, autonomous systems, cloud intelligence, financial technology, explainability, and responsible automation.
IEEEConference publications & research presentations
SpringerConference and proceedings research
JournalCloud modernization & applied systems research
Research Themes
Practical intelligence for complex systems.
My research agenda is shaped by real engineering problems: how to make AI systems useful, explainable, governable, and operationally resilient.
AIOps & Cloud Intelligence
Anomaly detection, graph-augmented reasoning, observability, workload intelligence, and adaptive operations.
Financial AI & Automation
Reconciliation, compliance, market intelligence, and trustworthy AI patterns for regulated financial systems.
Selected Publications
Peer-reviewed research and applied scholarship.
X-AD: Explainable Anomaly Detection in Serverless Systems
Research on explainable anomaly detection for serverless environments, connecting operational observability with interpretable AI methods.
Autonomous Data Stewardship: Multi-Agent AI for Real-Time MDM in Financial Services
A multi-agent approach to data stewardship and master data management, designed for real-time quality, governance, and enterprise financial workflows.
RegAgent: LLM-Powered Autonomous Agents for Adaptive Financial Regulatory Compliance Monitoring and Reporting
Explores agent-based regulatory intelligence and adaptive compliance workflows. Recognized with Best Paper and Best Presenter honors.
Multi-Agent AI Framework for Autonomous Financial Reconciliation in Wealth Management
Investigates multi-agent coordination for reconciliation workflows in wealth management, with emphasis on automation and control.
Hybrid Deep Learning Framework Integrating Real-Time Social Sentiment for Stock Market Prediction
Lead-author research combining market signals with real-time social sentiment in a hybrid deep learning framework.
Semantic Web Healthcare Chatbot Using Ontology and Data Mining for Patient Information Assistance
Applies ontology-driven semantic methods and data mining to improve contextual patient information assistance.
From Legacy to Cloud: Migration Strategies for Traditional Financial Institutions Using AWS
Journal research on modernization strategy, architectural tradeoffs, and cloud migration patterns for traditional financial institutions.
Graph-Augmented Agentic AIOps with Trust-Governed Digital Twins for Autonomous Cloud Workload Intelligence
Graph-augmented agentic AIOps combining trust governance, digital twins, graph intelligence, and autonomous cloud workload reasoning.
Selected publications shown. Additional co-authored and conference research is available through Google Scholar and ORCID.
Interested in research collaboration?
I’m open to thoughtful collaboration around enterprise AI, financial systems, AIOps, agentic architectures, and applied cloud intelligence.