معرفی
Gordon Erlebacher is a Professor at the Department of Scientific Computing at Florida State University (FSU), where he also serves as Program Director for Interdisciplinary Data Science. His work bridges artificial intelligence, scientific computing, and educational technology.
- B.Sc., Free University of Brussels
- M.Sc., Free University of Brussels
- Ph.D., Columbia University
His research spans from early contributions in GPU acceleration of numerical methods (2010s) to modern applications of transformer-based large language models (LLMs) in education and agentic systems for administrative automation. Key areas include:
- Neural networks (autoencoders, pruning, graph neural networks)
- Topic modeling and natural language processing
- Seismic wave propagation and geophysical simulations
- Interactive visualization tools for oceanographic data
- AI-driven educational platforms for classroom engagement
His recent publications focus on AI in public health (CV19 SelfDefense), Alzheimer's disease prediction, and GPU-accelerated seismic modeling. Earlier work includes foundational GPU implementations for seismic wave propagation and turbulence simulations. No scientific awards are explicitly mentioned in the provided text.
