Instructor Profile
Stefano Markidis
Bio
Prof. Stefano Markidis is a full professor at KTH Royal Institute of Technology. His work focuses on high-performance computing, parallel programming, and performance optimization for scientific and data-intensive applications. His research and teaching span GPU computing, scalable algorithms, and tools for analyzing and improving code performance on modern heterogeneous architectures, as well as quantum computing and quantum machine learning. He has led and contributed to research projects and training activities, helping students and researchers build practical skills in profiling, optimization, and efficient Python programming for real-world computational workloads.
About Us
28DIGITAL invests in strategic areas to accelerate the market uptake and scaling of research-based digital technologies (deep tech) focusing on Europe’s key societal challenges: Digital Tech, Digital Cities, Digital Industry, Digital Wellbeing, and Digital Finance.
E-Learning
28DIGITAL provides online and blended Innovation and Entrepreneurship education to raise quality, increase diversity and availability of the top-level content provided by our partner network of leading technical universities around Europe.
EU Collaborations
28DIGITAL is at the centre of digital in Europe and works with other EU organisations, such as the European Innovation Council, the European Central Bank and the European Investment Fund.
EA Consulting partners with 28DIGITAL on several EU funded and co-funded projects.
ICARUS AI
ICARUS AI is a fully customizable AI enabled e-learning platform.