
My research interests are at the intersection of Artificial Intelligence and engineering systems. I am particularly interested in using machine learning, digital twins, and data-driven approaches to understand and predict the behavior of complex real-world systems. My goal is to develop practical AI solutions that combine engineering knowledge with intelligent decision-making and create meaningful impact in both academia and industry.
Machine Learning & AI
NLP techniques
Model evaluation
Data preprocessing
PyTorch framework
PyTorch, TensorFlow, scikit-learn
Frameworks & Libraries
Probability theory
Data & Scientific Computing