Research & Publications
Sustained contribution to the technology profession through three reinforcing channels -
peer-reviewed research, conference leadership, and expert speaking - each independently validating
subject-matter
authority in enterprise AI, privacy-preserving systems, and CRM architecture.
Four peer-reviewed publications across IEEE and IJCA, including Best Research Paper Award at IEEE
ICAIC 2026.
Technical Program Committee member across multiple(4+) international conferences.
Session Chair at
multiple(4+) IEEE events, and expert re-reviewer for ECIS - Europe's premier information systems
conference.
Speaker at Salesforce TDX 2026 with global Salesforce+ reach, alongside keynote and invited
appearances at
IEEE ICAUC, IEEE ICRTCST, ICITAI, and Research Triangle AI.
Documented public reach of 600+ professionals across 20+
countries, built deliberately over eight
years.
Privacy-Preserving Federated Learning for Multi-Tenant CRM Systems
Demonstrates how organisations can implement AI across multi-tenant environments while maintaining strict GDPR, CCPA, and HIPAA compliance. Awarded Best Research Paper at the same conference where I also served as Session Chair.
Predictive Customer Intelligence: ML and NLP Integration for CRM Churn Prediction and Lifetime Value Forecasting
Presents practical machine learning frameworks for enterprise CRM churn prediction and customer lifetime value forecasting using NLP integration.
Agentic AI for Sales Intelligence
Explores how autonomous AI agents can transform sales intelligence while maintaining human-in-the-loop oversight — demonstrating a 40% reduction in representative workload.
AI Enhanced Data Privacy in Retail CRM Systems
Co-authored research on securing AI-driven retail CRM systems against emerging data privacy threats.
