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Sina Sheikholeslami

Profile picture of Sina Sheikholeslami





About me

I am a PhD Student in the Distributed Computing Group of the division of Software and Computer Systems (SCS), EECS School of KTH, where I'm being advised by Vladimir Vlassov, Amir Payberah, and Jim Dowling. My main interest lies in the intersection of distributed systems, machine learning, and data-intensive computing.

During my PhD studies, I have worked on systems for machine learning and deep learning. In particular, we developed and released the first framework for automated, parallel ablation studies for deep learning, called AutoAblation, as part of Maggy; and introduced a novel approach for dataset partitioning in data-parallel training of deep neural networks by considering the importance of dataset examples, named Importance-aware DPT, which won the Best Artefact Award of DAIS 2023.

Before starting my Ph.D. studies, I was an EIT Digital Master School scholar (2017-2019) and did my M.Sc. studies at Eindhoven University of Technology (first year) and KTH (second year). I did my internship at Logical Clocks AB, which led to my thesis, "Ablation Programming for Machine Learning".

Prior to that, I was a Big Data R&D Engineer at I did my Bachelor of Science in Computer Software Engineering at Amirkabir University of Technology (Tehran Polytechnic), where I was the President of CEIT's Students' Scientific Chapter from January 2014 to March 2015.

In addition to my studies, I am currently a Board Member and the Council Coordinator of KTH's PhD Chapter and a Steward of the Chapter's Masters of Ceremonies Group. Before that, I was member of EECS PhD Student Council (January 2020 - December 2023), where I was the Vice-chair (January 2021 - December 2022), and a representative in the New Faculty Appointment Committee, the Faculty Promotion Committee, the School Assembly of EECS, and the Council for Third-Cycle Education of EECS. I was also a member of the Nominating Committee of the PhD Chapter (May 2020 - December 2022).

Outside KTH, I am Sweden's Local Representative for the EIT Digital Alumni Foundation since January 2020.


Data Mining (ID2222), assistant | Course web

Data Mining (FID3016), assistant | Course web

Data-Intensive Computing (ID2221), teacher | Course web

Operating Systems (ID1200), teacher | Course web

Operating Systems (ID1206), teacher | Course web