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I am a Professor of Electrical and Computer Engineering (ECE) at Mälardalen University (MDU), where I work in the area of complex real-time embedded systems. I have served as Scientific Advisor for different companies, including ABB (2019-2024) and Zero Point Technologies (2024-2025). I was a QUALIFICA Fellow (2023-2025) at the Institute for Software Technology and Software Engineering (ITIS) at the University of Málaga, and an ISA Visiting Professor (2026) at the Institute of Advanced Studies at Alma Mater Studiorum - University of Bologna. Since 2024, I have served as the Scientific Leader for Applied AI as part of the AI@MDU initiative, steering the integration of artificial intelligence in practical applications.

My research lies at the intersection of automatic control, computing systems, and cyber-physical systems. I develop theory, methods, and tools for engineering software-intensive systems that are predictable, adaptive, and resource-aware under uncertainty. A central theme of my work is the use of feedback control, model predictive control, optimization, and formal reasoning to design computing systems that can regulate their own behavior while meeting performance, timing, reliability, safety, and resource-efficiency objectives. My work spans self-adaptive and autonomic software systems, real-time and embedded systems, cloud/edge and distributed computing, robotics, industrial automation, and resilient cyber-physical systems, aiming to bridge control-theoretic principles and software/system engineering practice for adaptive, interconnected, and dependable systems.

Prior to my current position, I worked as a Postdoctoral Research Assistant at the Dipartimento di Elettronica e Informazione at the Politecnico di Milano under the supervision of Maria Prandini.

I was also a Postdoctoral Researcher at the Department of Automatic Control at the Lund University, where I worked under the guidance of Karl-Erik Årzén. Additionally, I was also a member of Lund Center for Control of Complex Engineering Systems (LCCC).

During my time as a PhD Fellow at the Dipartimento di Elettronica e Informazione at Politecnico di Milano, I focused on advanced model simplification techniques for continuous and discontinuous systems. I had the privilege of being mentored by Alberto Leva. If you’re interested, you can access my PhD thesis here.

With my extensive academic background and expertise in complex real-time embedded systems, I am dedicated to advancing the field through innovative research and educating the next generation of engineers.


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  • Erdős number: 3
    • Alessandro Papadopoulos - Daniel Mossé - Israel Koen - Paul Erdős
    • Alessandro Papadopoulos - Alberto Marchetti-Spaccamela - Shmuel Zaks - Paul Erdős
  • Dijkstra number: 3
    • Alessandro Papadopoulos - Ewa Deelman - John R. Rice - Edsger W. Dijkstra
    • Alessandro Papadopoulos - Gerhard Fohler - Elisabeth F.M. Steffens - Edsger W. Dijkstra

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