AI for sustainability

Speaker: Kaushic Kalyanaraman

Abstract

Energy transition in one of the most complex endeavours to be undertaken by humankind. In a span of few decades we have to completely rewire our current industrial system and dramatically alter societal behaviour to achieve COP21 targets. At Shell R&D we are currently working on several ideas in Nature based solutions, Renewable energy and Energy economics in order to advance our abilities in understanding sustainability and developing innovative solutions to accelerate energy transition at a Macro and Microscale. In this talk, Ill briefly highlight some of our research in Sustainability involving Graph ML, Physics informed neural networks and Representational Learning

Bio

Kaushic Kalyanaraman has over 15 years of experience in Energy industry in domains spanning from LNG, Upstream to Renewable energy in Engineering, Commercial and Technology Development. He currently leads Shell’s Machine Learning R&D team with a focus on advancing PiNN, Multimodal ML and Graph ML.