Deep Learning (DL) is a machine learning technique that teaches computers to do high level tasks that are often natural to humans. DL models are based on artificial neural networks which are inspired by the human brain biological neural circuits. DL models analyze data and enable machines to exhibit human-like cognition. They can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. DL models learn by examples, they are trained by using a large set of labeled/unlabeled data, utilizing supervised, unsupervised or semi-supervised training frameworks. WVU faculties have been working on deep learning as one of the key technologies to solve engineering problems in automated driving, biometrics, health sciences, natural language understanding, satellite image analysis, aerospace and defense applications, medical research, consumer electronics, geography and geology, energy exploration, cybersecurity, time-series prediction, and industrial manufacturing.