WRITING & RESEARCH

Research I've published

Five papers across peer-reviewed journals and preprints, indexed on IEEE Xplore and ResearchGate, plus a technical book on world models in video production. My work focuses on the cost, ethics, and practical use of generative AI.

Published papers

Citations

0 +

Technical book

IEEE Access (latest)

PEER-REVIEWED & PREPRINTS

The papers

From a cost-efficiency framework for generative video models to ethical AI and personalized learning systems.

★ FLAGSHIP · PEER-REVIEWED

Cost-Efficiency Metrics: Evaluating Computational & Resource Efficiency in Generative AI Video Models

A framework I developed for measuring the real compute and resource cost of generative AI video models.

Radar chart comparing cost-efficiency, quality, consistency, speed and memory efficiency across generative video models

IEEE Access · 2026 · DOI 10.1109/ACCESS.2026.3695013 Read on IEEE Xplore ↗︎

JOURNAL

9 citations

Using Generative AI for Video Summarization

Well Testing Journal · 2025

JOURNAL

8 citations

Ethical AI Systems for Bias-Resistant Decision Making in Business & Healthcare

Vascular & Endovascular Review · 2025

JOURNAL

4 citations

Context-Aware Generative AI for Personalized Learning Systems

Nanotechnology Perceptions · 2025

WHITE PAPER

Reinventing Data Protection for the AI Era in 2026

ResearchGate · 2026

FOCUS AREAS

What I research

Most of my research keeps coming back to two questions: what do these models actually cost to run, and how do we use them responsibly? Every paper tries to keep advanced AI practical and accountable at the same time.

Generative AI video modelsComputational & resource efficiencyEthical & bias-resistant AIPersonalized learning systemsData protection in the AI eraLLM evaluation

THE BOOK

World Models Applied in Video Production

A comprehensive technical guide to how world models are reshaping video, from concept to production pipeline.