• Developed a live organ-tracking software to assist during surgery by identifying abnormalities in organ geometry using artificial intelligence• Fed live organ tracking video stills to a Generative Adversarial Network to produce organ deformation variationsthat mimic real world scenarios• Created software that reconstructs organ in 3D using deep learning from a single frame during surgery

• Characterized Suspension Plasma Spray (SPS) on the basis of operating conditions and process parameters like plasma gas composition, suspension feed rate, particles velocity, size, and temperature upon impact• Implemented Machine Learning and Neural Networks to analyze the relevance of those key parameters to predict coating properties• Saved over 150,000$ in installation, set-up and experimental costs for suspension plasma spray applications