Gaurav Chaudhary is a visionary leader passionate about integrating computational technologies into building design and controls to enhance resource efficiency. As Chief Innovation Officer at Simien AS, he leverages his expertise in building design, ICT, controls, simulation, and data analysis to develop innovative solutions for the built environment.
With a PhD in AI for building control from NTNU, an MSc in Sustainable Architecture from NTNU, and a BArch from Department of Architecture and Planning, IIT Roorkee, Gaurav combines a strong academic foundation with practical expertise in energy systems, big data, and machine learning. His doctoral research focused on developing transferable deep learning models for predicting complex building dynamics, paving the way for smarter, more adaptive systems.
Gaurav’s work embodies his dedication to advancing sustainable and intelligent building technologies.
Click here to view the thesis: This PhD project aims to research and develop generalized and transferable deep learning models that estimate multi-zone, multi-output, and multi-step ahead building dynamics responses based on multi-control inputs. It focused on improving the understanding of various deep learning model architecture components for building dynamics prediction, enhancing the repeatability of training, and increasing the applicability and scalability of these models using transfer learning and fine-tuning strategies.
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