Conferences have been a big part of Arka Daw’s life as a Ph.D. student this past academic year. Daw presented “Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling” in proceedings at the 2020 SIAM International Conference on Data Mining (SDM), and “PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with […]

Mohannad Elhamod was a Ph.D. student in the Department of Computer Science. He was advised by Anuj Karpatne. Elhamod’s research interest is in machine learning in general, and science-guided machine learning more specifically. He is trying to understand how domain-specific knowledge can help improve ML models and is especially curious about developing and employing visualization […]