Keynote Speaker:

Michael Paulitsch - Intel Labs, Germany

Biography: Michael brings 20 years of work theoretical and applied research and technology work at university and different industries (aerospace, railway, automotive) in dependability of electronic architectures of cyber physical systems in safety-critical and real-time systems including security aspects of all types.
Michael fills the role of a Dependability Systems Architect (Principal Engineer) at Intel, Munich, Germany, as part Intel Labs Europe, since 2018. He pursues novel safety monitoring approaches at different system levels (chip, platform, application) and evaluates and ensures safe and dependable use of neural network models in safety-critical systems.
From 2014 to 2018, he has been senior engineering manager and product line manager for Vital Platform (safety-critical computing and communication platform with security requirements) at Thales Ground Transportation Systems in Vienna, Austria. In these roles he has been responsible for the execution and strategy of as well as research for this vital platform. Before this, Michael has been Senior Expert of “Dependable Computing and Networks” as well as Scientific Director at Airbus corporate research in Munich, Germany. There his work focused on dependable embedded and secure embedded computing and networks. From 2003 to 2008, he worked at Honeywell Aerospace in the U.S. on software and electronic platforms in the area of business, regional, air transport, and human space avionics and engine control electronics. Michael has also been assistant professor at Technische Universitaet Wien, Vienna, Austria, 1997 to 2003.
Michael published 50+ scientific papers in his area of expertise, participates in multiple international scientific conference committees and holds 30+ patents. He holds a doctoral degree in technical sciences from the Vienna University of Technology, Vienna, Austria with emphasis on dependable embedded systems and a doctoral degree in economics and social sciences with emphasis on production management aspects. He also visited University of Illinois at Urbana-Champaign.
Michael enjoys his spare time with sports like rock climbing, cycling, hiking, ski touring, and running.

Invited Speakers:

Aneta Vulgarakis - Senior Research Manager at Ericsson, Sweden

Biography: Aneta Vulgarakis Feljan is a Research Leader in Artificial Intelligence at Ericsson Research. Her main interest are AI-based Cyber Physical Systems, and the combination of model-driven and data-driven AI. She is specialized in software architectures, knowledge representation and reasoning, automated planning, behavioral modeling and analysis, and application of these to telecom and non-telecom use cases. Aneta is the co-author of 40+ refereed publications on software engineering and AI topics, and a co-inventor of 50+ patent families.  Her paper “A Component Model for Control-Intensive Distributed Embedded Systems” has been awarded the ICSA 2018 Most Influential Paper Award. She is a Program Committee member and referee for several international conferences and journals. Before joining Ericsson Research, Aneta was a scientist at ABB Corporate Research. Her PhD in Computer Science from Mälardalen University focused on component-based modelling and formal analysis of real-time embedded systems.

David Broman - Associate Professor at KTH, Sweden

Biography: David Broman is an Associate Professor at the KTH Royal Institute of Technology, Associate Director Operations for KTH Digital Futures, and CEO of Consecio AB. Between 2012 and 2014, he was a visiting scholar at the University of California, Berkeley, where he also was employed as a part time researcher until 2016. David received his Ph.D. in Computer Science in 2010 from Linköping University, Sweden, and was appointed Assistant Professor there in 2011. He earned a Docent degree in Computer Science in 2015. His research focuses on model-based design of time-aware systems, including cyber-physical systems, embedded systems, and real-time systems. In particular, he is interested in programming and modeling language theory, formal semantics, compilers, and machine learning. David has received an outstanding paper award at RTAS (co-authored 2018), a best paper award in the journal Software & Systems Modeling (SoSyM award 2018), the award as teacher of the year, selected by the student union at KTH (2017), the best paper award at IoTDI (co-authored 2017), awarded the Swedish Foundation for Strategic Research's individual grant for future research leaders (2016), and the best paper presentation award at CSSE&T (2010). He has worked several years within the software industry, co-founded three companies, co-founded the EOOLT workshop series, and is a member of IFIP WG 2.4, Modelica Association, a senior member of IEEE, and a board member of Forsknings och Framsteg.

Peter Ulbrich - Professor at TU Dortmund, Germany

Biography: Peter Ulbrich (born 1980) is a professor at the Technische Universität Dortmund and head of the "System Software Group". His research and teaching activities are in the field of system software for embedded systems, focusing on dependability, system analysis, and design of adaptive cyber-physical systems. He received his diploma in computer science from Friedrich-Alexander University Erlangen-Nuremberg (FAU) in 2007. Unto 2010 he worked on the research project "Component Architecture for Safety-critical Embedded Systems" at Siemens Corporate Research, received his Ph.D. from FAU in 2014, and till 2020 he led the research group "Real-Time Systems" as a post-doctoral fellow. In 2017, Peter Ulbrich was a guest scientist at North Carolina State University, where he researched deep learning for scheduling in real-time systems. Peter Ulbrich is a member of IEEE and ACM and is active in the national and international OS community. Since 2020 he is the spokesman of the Special Interest Group Operating Systems of the Gesellschaft für Informatik (GI).

John Lundbäck - CEO, Arcticus Systems AB, Sweden

Biography: John Lundbäck has been at Arcticus Systems for more than 20 years and is the principle architect for the Rubus Product Line toolset. He has received his education at KTH Royal Technology Institute and Stockholm University. He currently holds the position of CEO at Arcticus Systems since 2018. He is experienced in a wide range of computing and computer-based systems, including software engineering, real-time, programming languages, compilers, operating systems as well as various real-time application domains from low-level assembly to complex multi-tasking software running in safety critical environments. He has responsibility for managing technical research projects at Arcticus Systems and is the Senior Technical Consultant. He has co-authored over 15 research publications in international peer-reviewed journals, conferences and workshops.

Mattias Nyberg - Expert Engineer at Scania and Adjunct Professor at KTH, Sweden

Biography: Will follow soon!