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Posts

A Second Step into Feature Engineering: Feature Selection

5 minute read

Published:

We are ready to start with the second part of Feature Engineering (if you’ve missed the previous article, you can find it here). In this short article, we’ll go through a few simple techniques in Feature Selection and Extraction.

A Reinforcement Learning Algorithm for Reducing Energy Consumption

15 minute read

Published:

Progress in urbanization and advancement of the “fully connected” society is giving electricity more and more importance as the main energy source for our social life. Electricity, like air and water, is so widespread that nobody may notice its existence. In view of the increase in its demand, the electric power system has come to face three adversely affecting issues, namely: energy security, economic growth, and environmental protection. Or else, if supply of electricity is stopped, our society will be thrown into a terrible chaos.

portfolio

publications

Physics-Informed Machine Learning Simulator for Wildfire Propagation

Published in AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, 2021

Recommended citation: L Bottero et al (2021), AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rTk6DZgAAAAJ&sortby=pubdate&citation_for_view=rTk6DZgAAAAJ:qjMakFHDy7sC&gmla=AJsN-F4XlU6Ew2u8lbABcn7160wrgWpicNvWDg6qe1Z2hG_dVY2ir7IRRP_WzPbM9T48HN0E70HaFt_suz2j5_Hjzd01lCmifw8PsQv0zes1pjJLO0JeF3I&sciund=11780103975415497734

NeuralPDE: Automating physics-informed neural networks (PINNs) with error approximations

Published in arXiv, 2021

Recommended citation: Kirill Zubov, Zoe McCarthy, Yingbo Ma, Francesco Calisto, Valerio Pagliarino, Simone Azeglio, Luca Bottero, Emmanuel Luján, Valentin Sulzer, Ashutosh Bharambe, Nand Vinchhi, Kaushik Balakrishnan, Devesh Upadhyay, Chris Rackauckas (2021), NeuralPDE: Automating physics-informed neural networks (PINNs) with error approximations https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rTk6DZgAAAAJ&sortby=pubdate&citation_for_view=rTk6DZgAAAAJ:u-x6o8ySG0sC

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.