[{'Type': 'Journal Article', 'Title': 'AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges', 'Journal': 'Information Fusion, Elsevier Journal', 'Year': '2025', 'Citations': '90'}, {'Type': 'Journal Article', 'Title': 'When Multimodal Large Language Models Meet Computer Vision: Progressive GPT Fine-Tuning and Stress Testing', 'Journal': 'IEEE Access', 'Year': '2025', 'Citations': '3'}, {'Type': 'Journal Article', 'Title': 'Financial Sentiment Analysis and Classification: A Comparative Study of Fine-Tuned Deep Learning Models', 'Journal': 'International Journal of Financial Studies, MDPI Journal', 'Year': '2025', 'Citations': '3'}, {'Type': 'Journal Article', 'Title': 'LLMs for product classification in e-commerce: A zero-shot comparative study of GPT and Claude models', 'Journal': 'Natural Language Processing, Elsevier Journal', 'Year': '2025', 'Citations': '5'}, {'Type': 'Journal Article', 'Title': 'Think Before You Classify: The Rise of Reasoning Large Language Models for Consumer Complaint Detection and Classification', 'Journal': 'Electronics, MDPI Journal', 'Year': '2025', 'Citations': '21'}, {'Type': 'Journal Article', 'Title': 'Fake News Detection and Classification: A Comparative Study of Convolutional Neural Networks, Large Language Models, and Natural Language Processing Models', 'Journal': 'Future Internet, MDPI Journal', 'Year': '2025', 'Citations': '24'}, {'Type': 'Journal Article', 'Title': 'Optimizing Airline Review Sentiment Analysis: A Comparative Analysis of LLaMA and BERT Models through Fine-Tuning and Few-Shot Lear', 'Journal': 'Not Provided', 'Year': '2025', 'Citations': '2'}, {'Type': 'Under Review', 'Title': 'Agentic AI with Orchestrator-Agent Trust: A Modular Visual Classification Framework with Trust-Aware Orchestration and RAG-Based Reasoning', 'Journal': 'arXiv', 'Year': '2025'}, {'Type': 'Under Review', 'Title': 'Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks', 'Journal': 'arXiv', 'Year': '2025', 'Citations': '5'}]
Background
Specializing in Applied Artificial Intelligence, Agentic AI, Multimodal Large Language Models, Natural Language Processing, Business Intelligence, and Software Engineering.