Alessandro Papadopoulos, Associate Professor, Docent

I am currently an Associate Professor (Docent) in Computer Science, Systems and Control at MDH, and I work in the area of complex real-time embedded systems.

I was a Postdoctoral Research Assistant at the Dipartimento di Elettronica, Informazione e Bioingegneria at the Politecnico di Milano. Before, I was a Postdoctoral Researcher at the Department of Automatic Control at the Lund University. I was also a member of Lund Center for Control of Complex Engineering Systems (LCCC).

I was a PhD Fellow in the Dipartimento di Elettronica e Informazione at Politecnico di Milano and my main research interest were on model simplification techniques for continuous and discontinuous systems.

Keywords: Control Theory, Feedback Computing, Fog Computing, Cloud Computing, Real-time and embedded systems


The next generation of distributed control systems (nominated for best industry paper award at ISSRE 2019)
LUCAS Day 2014



My research topics include the application of control theory to the design and implementation of computing systems, especially in the context of real-time and cloud computing systems. In addition, I am also interested in modeling and control of interconnected systems in presence of uncertainty.

I am particularly interested in autonomic and self-adaptive systems, in different areas of computer science and software engineering.

I am currently involved in the Future factories in the cloud project, investigating novel feedback-based methodologies for resource allocation in cloud systems, and virtualization technologies.

I am involved in the project EU Horizon 2020™ Fog Computing for Robotics and Industrial Automation (FORA) (EU Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 764785).

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Latest publications:

Concurrency defect localization in embedded systems using static code analysis: an evaluation (Oct 2019)
Bjarne Johansson, Alessandro Papadopoulos, Thomas Nolte
The 30th International Symposium on Software Reliability Engineering (ISSRE 2019)

Work-In-Progress: Probabilistic Timing Analysis of a Periodic Task on a Microcontroller (Oct 2019)
Jonathan Thörn , Najda Vidimlic , Anna Friebe, Alessandro Papadopoulos, Thomas Nolte
The 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA2019)

DART: Dynamic Bandwidth Distribution Framework for Virtualized Software Defined Networks (Oct 2019)
Vaclav Struhar, Mohammad Ashjaei, Moris Behnam, Silviu Craciunas , Alessandro Papadopoulos
IEEE 45th Annual Conference of the Industrial Electronics Society (IECON'19)

Classification of PROFINET I/O Configurations utilizing Neural Networks (Sep 2019)
Bjarne Johansson, Björn Leander, Aida Causevic, Alessandro Papadopoulos, Thomas Nolte
The 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA2019)

Towards a Framework for Safe and Secure Adaptive Collaborative Systems (Jul 2019)
Aida Causevic, Alessandro Papadopoulos, Marjan Sirjani
The 9th IEEE International Workshop on Industrial Experience in Embedded Systems Design (IEESD 2019)

Methodological Principles for Reproducible Performance Evaluation in Cloud Computing (Jul 2019)
Alessandro Papadopoulos, Laurens Versluis , André Bauer , Nikolas Roman Herbst , Jóakim von Kistowski , Ahmed Ali-Eldin , Cristina Abad , J. Nelson Amaral , Petr Tuma , Alexandru Iosup
IEEE Transactions on Software Engineering (TSE)