AI Cost Optimization, Governance & Sustainable Enterprise Systems

Current Focus

My current work focuses on AI cost optimization, AI governance, sustainable enterprise systems, LLM inference efficiency, software carbon measurement, and standards-based adoption of responsible AI.

I am especially interested in helping organizations move from AI experimentation to reliable, cost-aware, carbon-aware, and governed deployment at enterprise scale.

Research & Innovation Snapshot

• 75+ granted/pending patents across the US, Canada, EU, Australia, and India

• 40+ peer-reviewed publications with ~1,000 citations

• Recent publications at ACL Findings 2025 and NAACL 2025 on sustainable GenAI and LLM inference energy

• Steering Committee Member, Green Software Foundation

• Co-Chair, Software Standards Working Group, Green Software Foundation

• Reviewer for IEEE TNNLS, Neurocomputing, and ACM TOPC

• Recognized with Prolific Innovator, Accenture Invention of the Year Finalist, Business Enabler of the Year, APSEC Best Paper Award, and other innovation awards

Strategic Research Themes

• AI Cost Optimization, Inference Efficiency & Enterprise AI Economics
  Building methods and frameworks to make AI deployment economically measurable, operationally efficient, and scalable.

• AI Governance, Evaluation, Reliability & Responsible Deployment
  Developing approaches for trustworthy AI systems where reliability, evaluation, risk, and governance are treated as first-class engineering concerns.

• Sustainable AI, Green Software & Software Carbon Measurement
  Advancing techniques, standards, and measurement approaches for reducing the environmental and operational impact of software and AI systems.

• NLP, Information Retrieval & Enterprise Text Intelligence
  Designing methods for search, entity disambiguation, semantic analysis, requirements intelligence, and enterprise-scale text analytics.

• Graph Mining, Trend Mining, Recommender Systems & Decision Intelligence
  Applying data-driven methods to identify patterns, recommend actions, and support decision-making across complex enterprise contexts.

• Formal Verification, Model Checking & Reliability-Critical Systems
  Building on formal methods and verification foundations to reason about correctness, reliability, and system behavior.

• Complex Systems, Artificial Life & Theoretical Computing
  Exploring computational models of emergence, evolution, observability, and algorithmic reasoning.

Standards Leadership & Ecosystem Influence

I serve on the Steering Committee of the Green Software Foundation and as Co-Chair of its Software Standards Working Group, contributing to consensus-based specifications for green software, sustainable AI, software carbon measurement, and enterprise adoption.

This work aligns with my broader interest in turning sustainability from an aspiration into measurable engineering practice.