Graduate Research Assistant
Kansas State University
Manhattan, Kansas, United States
Kommineni's research and academic interests lie at the intersection of machine learning, deep learning, and data science, with a focus on real-world applications. She have a diverse background in predictive modeling and image classification. One of my notable projects involved predicting hotel booking cancellations using advanced machine learning techniques. She have also worked extensively on image classification problems utilizing Convolutional Neural Networks (CNNs). Currently, she is dedicated to improving emergency response times and predicting future crashes through the analysis of crash data. This work involves extensive Exploratory Data Analysis (EDA), statistical analysis, and the development of deep learning models to enhance the efficiency and effectiveness of emergency services.
Disclosure information not submitted.
An Interactive Geospatial Tool for Post-Crash Emergency Response Planning and Analysis
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT