Welcome to my website
AI Engineer & Data Scientist
Machine Learning Researcher
I build intelligent AI and data science solutions that turn complex data into meaningful insights, predictive models, and real-world value.
About Me
I am an AI and data science professional with a Ph.D. in Computer Science from the University of North Texas. My background spans artificial intelligence, machine learning, graph neural networks, high-performance computing, predictive modeling, and data analytics.
My work focuses on designing intelligent models, scalable algorithms, and data-driven systems for complex real-world problems across research, industry, and society.
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Computer Science
Publications
Years of Research Experience
Data Science, ML, GNNs, and HPC
Research Areas
Building intelligent systems using machine learning, deep learning, and data-driven methods.
Transforming complex datasets into actionable insights, predictive models, and practical solutions.
Designing graph-based learning models for structured data, representation learning, and prediction.
Developing scalable algorithms and efficient computing methods for large-scale data and graph analytics.
Publications
Projects
Representation learning and geo-embedded data modeling for socioeconomic prediction.
Sliding-window graph learning approach for temporal analysis and stock trend prediction.
Scalable graph algorithms for large dynamic networks using high-performance computing.
Machine learning and image-processing methods for MRI-based brain tumor detection and recognition.
Prompt-based and association-test approaches for studying bias in language models.
Python, Tableau, Power BI, and D3.js based visual analytics for data-driven communication.
Contact
I am open to opportunities and collaborations in AI engineering, data science, machine learning, research, and applied AI solutions.