Research

Research & Innovation

Advancing the science and practice of enterprise AI through peer-reviewed research, patent innovation, and industry collaboration.

Research Areas

My research program focuses on making AI systems that are not only powerful, but deployable, governable, and trustworthy in complex enterprise environments.

Enterprise Integration

Modernizing workflows, vendor-agnostic cloud integration across SAP BTP, Boomi, AWS, GCP, and Oracle Cloud.

API Management

Strategic API modernization using Apigee X and comparative analysis of enterprise API management platforms.

Agentic AI

Agentic architecture frameworks, MCP interoperability, and secure enterprise AI agents with scalable autonomy.

AI Framework

Machine learning frameworks for retail sales forecasting and applied predictive analytics.

Current Projects

Federated AI Framework for Secure Multi-Cloud Enterprise Integrations

Published

IEEE ICECONF 2025 — reference framework for federated AI across multi-cloud enterprise environments.

Enterprise Agentic Architecture Framework

Published

Governance and scalable autonomy patterns for enterprise agentic AI systems (SJCS, 2026).

Model Context Protocol (MCP) for Agentic AI Interoperability

Published

CFS journal article on MCP, APIs, and the future of secure agentic AI in enterprises.

Professional Affiliations

  • IEEE Senior Member
  • IEEE Computer Society Member
  • IAENG Member — Society of Artificial Intelligence & Society of Computer Science
  • IICSPA Fellow
  • SCRS Fellowship

Research Collaboration

I welcome collaboration with academic institutions, research labs, and industry partners on enterprise AI, trustworthy systems, and applied machine learning research.

Propose a Collaboration →