Sina Sheikholeslami

Hi there! I’m Sina Sheikholeslami, and I do research in machine learning systems and applications of machine learning and deep learning in various domains. I’m a Postdoc at the Division of Energy Systems, Department of Energy Technology at KTH, working with Francesco Fuso-Nerini and Ricardo Vinuesa on leveraging AI for Sustainable Development. I primarily work on the Beyond 2030 project, and will also contribute to OnStove. I am also affiliated with KTH Climate Action Centre and Vinuesa Lab.

I did my PhD studies in the Distributed Computing Group of the Division of Software and Computer Systems (SCS), EECS School of KTH, where I was advised by Vladimir Vlassov, Amir Payberah, and Jim Dowling. My main focus was at the intersection of distributed systems, machine learning/deep learning, and data-intensive computing, as well as applications of ML/DL in different domains.

I have a particular interest in finding (relatively) simple yet sound and practical solutions to challenging questions in machine learning, deep learning, and scalable computing. I also strongly believe in open science and reproducible research, and to that end all of my own work is publicly available with ready-to-execute scripts for reproducing the results.