CDS 2026 Symposium ASTANA:Machine Learning and Neural Network Applications in Engineering

This workshop bridges deep learning theory with practical engineering application. Participants explore how neural networks CNNs, RNNs/LSTMs, Transformers, and physics-informed models solve real problems across predictive maintenance, energy forecasting, reservoir simulation, and smart infrastructure. Sessions combine core learning mechanics (backpropagation, optimization) with hands-on case studies: vibration-based fault detection, CNN-driven subsurface flow modeling, and grid load forecasting. Attendees leave with the conceptual clarity and practical judgment to match engineering problems to the right architecture, plus concrete next steps for building their first applied model. Designed for students, researchers, and industry professionals, it's hosted September 17, 2026 at Nazarbayev Universit