Academic Research
Research contributions in AI, text summarization, and data science
This research investigates the effectiveness of AI-generated text summaries using OpenAI's GPT model. The study evaluates the quality, accuracy, and bias in automated summarization techniques, providing insights into the current state of AI text processing capabilities.
This work presents an innovative approach to evaluating and mitigating bias in sentiment-aware text summarization systems. The research introduces an iterative methodology for bias detection and correction, improving the fairness and accuracy of AI-generated summaries.
Status: Under Review
Keywords: Text Summarization, Bias Evaluation, Sentiment Analysis, AI Ethics
Research Area: Natural Language Processing, Machine Learning
Research in AI text processing, natural language understanding, and machine learning applications for military and civilian use cases.
Advanced statistical modeling, predictive analytics, and data-driven decision support systems for military operations and intelligence analysis.
Research in intelligence analysis systems, threat assessment models, and operational research for military applications.
Master of Computer Science
2025 - Present (Expected Graduation: 2027)
Focus on advanced computer science principles and applications in AI and machine learning.
Master of Science in Applied Statistics and Data Science
2025
Advanced studies in statistical modeling, data analysis, and machine learning applications.
Master of Business Administration
2024
Business administration with focus on strategic management and organizational leadership.
BS in Applied Mathematics & BS in Economics
2007
Dual degree program providing strong foundation in mathematical modeling and economic analysis.
Interested in collaborating on research projects or discussing academic opportunities?