Welcome to my GitHub profile! I hold a Ph.D. in Computer Science from the University of Tennessee at Chattanooga and currently serve as a Postdoctoral Researcher at UTC-CUIP, specializing in machine learning engineering, data science, and the application of AI in transportation systems. As a results-driven Data Scientist, I bring expertise in machine learning, deep learning, and smart city technologies. I have a proven track record of developing high-impact ML models for electric vehicle infrastructure, healthcare imaging, and intelligent transportation systems. With over 5 years of hands-on experience in applied machine learning research, I excel at transforming complex datasets into actionable insights that drive innovation and real-world solutions.
Programming Python, SQL, C++, MATLAB, R
Data Science Machine Learning, Deep Learning, Data Analysis, Feature Engineering, Model Evaluation
Machine Learning & AI TensorFlow, PyTorch, Keras, Scikit-learn, Numpy, Pandas, Scipy
Data Visualization Matplotlib, Seaborn, Tableau, Power BI
Other Parallel Programming, Intelligent Transportation Systems
- Developed ML models to optimize electric vehicle charging station placement, and utilization prediction.
- Pioneered embedding vector analysis techniques for EV charging station optimization, improving utilization predictions
- Built CNN models for detecting invasive ductal carcinoma in whole slide images, achieving 92% accuracy
- Research on Electric Vehicle Identification in Low-Sampling Non-Intrusive Load Monitoring Systems Using Machine Learning.
- DOT Project: Research on Feasibility of Real-Time Infrastructure-Driven Intervention for Improving Pedestrian Safety. Test different communication options for vehicle-to-pedestrian (V2P) systems.
- Research on Road Traffic Accident Severity Prediction Using ML.
- Email: mehdi-khaleghian@utc.edu