Dr. Leila Character is an Assistant Professor in the Department of Geography at Texas A&M University and a geospatial scientist specializing in remote sensing and machine learning. Her research focuses on building computational approaches that solve complex environmental challenges by enabling large-scale mapping and object detection across terrestrial and underwater environments. She develops new methods […]
This intermediate-level workshop will focus on practical applications, emphasizing automation, prompt engineering, and how to utilize GenAI in research. It will be held virtually and hosted by TAMIDS Senior Ambassador Zavier Ndum. Register at the link below!
Overview The Texas Digital Twin Symposium brings together researchers, students, and industry partners from across Texas to advance the growing digital twin research ecosystem, with a strong focus on data science–enabled methods and real-world applications. The event is designed to spark new cross-disciplinary collaborations spanning engineering, statistics, computer science, and applied mathematics. Through technical sessions, […]
Participants will learn how to identify latent themes in large text collections using unsupervised machine learning and how to interpret and validate these findings. It will be one hour of theory and explanation of the concepts, and the last hour will be hands-on practice in Python. Key topics include: Unsupervised learning, topic modeling concepts, Latent […]
