Alessandro Papadopoulos, Associate Professor, Docent

E-mail:
alessandro.papadopoulos@mdh.se
Room:
U1-131
Phone:
+46 (0)21-1073 23
Phone (alt):
+46 (0)73-66 20 877
Divisions:
Division of Intelligent Future Technologies
Division of Networked and Embedded Systems
Research groups:
Complex Real-Time Embedded Systems
Robotics
Web:
Official university homepage



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

News

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

Automatica.it
 
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).