Seminar:
Systems Approaches to Cardiovascular Digital Twins and Bias Correction in Hurricane Forecasting

ABSTRACT

In this seminar, I will present two systems-oriented research projects: the Cardiovascular Digital Twin (CVDT) and bias correction in hurricane forecasting. The CVDT represents a groundbreaking application of AI in systems research, simulating the human cardiovascular system with over 34 billion vessels to enable personalized treatment approaches. This model leverages high-performance computing (HPC) and advanced AI techniques to address scalability, real-time adaptability, and precision in simulating dynamic blood flow and vascular responses. The second focus of the talk is on improving hurricane forecasting through bias correction. Existing storm surge models often face systemic errors due to limitations in the accuracy of physics-based simulations. By employing machine learning models, including Long Short-Term Memory (LSTM) and Graph Neural Networks (GNNs), this project aims to predict and correct these biases, allowing for more accurate storm surge forecasts even beyond stations. This systems-based approach enhances resilience against natural disasters.

Noujoud Nader

Louisiana State University

Dr. Noujoud Nader is a research scientist at the Center for Computation & Technology (CCT) at Louisiana State University, with expertise in artificial intelligence, high-performance computing, and systems engineering. Her research focuses on designing scalable, AI-driven systems to address complex challenges in healthcare and environmental forecasting. Dr. Nader’s work spans interdisciplinary applications, including biomedical engineering and climate modeling, with an emphasis on building high-fidelity, adaptive systems for real-world applications. With a Ph.D. in Bioengineering from Sorbonne Universities, Dr. Nader has led numerous projects integrating machine learning with large-scale simulations, such as the development of a Cardiovascular Digital Twin for personalized healthcare and advanced bias correction techniques in hurricane forecasting. Her research is dedicated to fostering innovation in systems design and applying AI for complex engineering problems.