One month ago, I travelled to the United States to attend the 2019 edition of the Computational Sustainability Doctoral Consortium (CompSust DC) at the Carnegie Mellon University in Pittsburgh, PA. It was a great opportunity to meet academic peers working on computational methods that support advances in distinct environmental, economic, and societal issues for a sustainable future around the world.

The interdisciplinary scope of the conference program, with interesting talks and discussions about the challenges and opportunities for the application of different computational techniques in relevant domains, provided the participants with a great opportunity to learn a lot from each other. I also received some feedback after I had presented my poster titled “Detection, Location, and Diagnosis of Power System Faults and Disturbances in Power Distribution Networks with Multivariate Statistical Analysis” and my short talk on “Decision Support System Framework for Self-Healing and Reconfiguration in Power Distribution Networks with Distributed Energy Resources”. Undoubtedly, the contributions from the CompSust DC 2019 will benefit my upcoming works on fault detection, location, and diagnosis, self-healing, and grid reconfiguration within the project RESOLVD, as well as the completion of my thesis!

To conclude, thanks CompSust DC 2019 organizing committee for this excellent and unforgettable event and I hope to meet you again in the future!