Stefano Markidis
Professor
Details
Researcher
About me
Stefano Markidis is a Professor of Computer Science with a specialization in high-performance computing systems, including supercomputers and quantum computers. Markidis holds a Ph.D. from the University of Illinois at Urbana-Champaign and an MS from Politecnico di Torino. Before joining KTH, he was a researcher at the Los Alamos National Laboratory, Lawrence Berkeley National Laboratory, and KULeuven.
Courses
Applied GPU Programming (DD2360), teacher, examiner
Applied Quantum Machine Learning (FDD3268), examiner
Computational Methods for Electromagnetics (DD2370), course responsible, examiner
Degree Project in Computer Science and Engineering, First Cycle (DA150X), assistant
Degree Project in Computer Science and Engineering, Second Cycle (DA231X), examiner
Degree Project in Computer Science and Engineering, Second Cycle (DA239X), examiner
Degree Project in Computer Science and Engineering, Second Cycle (DA250X), examiner
Degree Project in Electrical Engineering, specialising in ICT Innovation, Second Cycle (EA258X), examiner
High-performance Computing for Computational Scientists (FDD3260), course responsible, teacher, examiner
Introduction to High Performance Computing (DD2358), course responsible, teacher, examiner
Introduction to High Performance Computing (FDD3258), teacher
Large Language Models for Computer Scientists (FDD3559), teacher
Methods in High Performance Computing (DD2356), course responsible, teacher, examiner
Methods in High-Performance Computing (FDD3256), teacher, examiner
Operating Systems (ID1200), teacher
Operating Systems (ID1206), teacher
Project Course in High-Performance Computing (DD2375), course responsible, teacher, examiner
Quantum Computing for Computer Scientists (DD2367), course responsible, examiner
Quantum Computing for Computer Scientists (FDD3280), examiner
Quantum Neural Networks (DD2368), course responsible