I am a Professor of Electrical and Computer Engineering (ECE) at Mälardalen University (MDU), with a focus on automatic control and robotics in complex real-time embedded systems. Additionally, I hold the prestigious position of QUALIFICA Fellow at the Institute for Software Technology and Software Engineering (ITIS) at the University of Málaga. My research endeavors are centered on the modeling and control of interconnected systems in the presence of uncertainty, with a particular focus on leveraging control theory for the design and implementation of computing systems. This work is primarily conducted within the realms of embedded and distributed systems.
In 2024, I assumed the role of Scientific Leader for Applied AI as part of the AI@MDU initiative, steering the integration of artificial intelligence in practical applications.
I received my BSc (2008) and my MSc (2010) in Computer Engineering from Politecnico di Milano, and my Ph.D. (2014) in Information Technology, Systems and Control from the same institution. Post-Ph.D., I embarked on a postdoctoral fellowship at the Department of Automatic Control at Lund University , contributing to the Lund Center for Control of Complex Engineering Systems (LCCC). I further enhanced my research expertise as a Postdoctoral Research Assistant at the Dipartimento di Elettronica, Informazione e Bioingegneria at the Politecnico di Milano.
Currently, I lead the Complex Real-Time Embedded Systems (CORE) research group alongside Prof. Thomas Nolte. My research intersects control and computer engineering, with a nuanced focus on addressing challenges in real-time, embedded, and distributed systems, including cloud and edge computing applications.
In recognition of my innovative research, I was honored with a VR starting grant in 2020 to explore control and distributed optimization strategies for complex and pervasive computing systems. That same year, I received the SSF strategic mobility grant, fostering a collaboration with ABB industrial automation to pioneer next-generation automation systems.
For additional information about my research, academic endeavors, and professional accomplishments, please visit my webpage.
Keywords: Control Theory, Feedback Computing, Fog Computing, Cloud Computing, Real-time and embedded systems
News
Scientific Leader of Applied AI
Read more about my SSF Strategic Mobility project on Framtidens Forskning (Jun 2022)
Granted project FuturAS: Future Generation Automation Systems (SSF) (Dec 2020)
Granted project PSI: Pervasive Self-Optimizing Computing Infrastructures (VR) (Oct 2020)
PhD defense of Mirgita Frasheri on June 12, 2020
Granted project GREENER: Intelligent energy management in connected construction sites (VINNOVA FFI)
Read my IEEE Software blog post
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.
Learn more about my research here.
Selected conference presentations
ICSE 2020: Details
SEAMS 2020: Details
CASTOR days 2022
Hierarchical Resource Orchestration Framework for Real-Time Containers (Jan 2024) Václav Struhár, Silviu Craciunas , Mohammad Ashjaei, Moris Behnam, Alessandro Papadopoulos ACM Transactions on Embedded Computing Systems (TECS 2024)
Multi-Criteria Optimization of Application Offloading in the Edge-to-Cloud Continuum (Dec 2023) Branko Miloradovic, Alessandro Papadopoulos 62nd IEEE Conference on Decision and Control (CDC 2023)
GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem (Dec 2023) Mirgita Frasheri , Branko Miloradovic, Lukas Esterle , Alessandro Papadopoulos IEEE Symposium Series on Computational Intelligence (SSCI 2023)
CTA: A Correlation-Tolerant Analysis of the Deadline-Failure Probability of Dependent Tasks (Dec 2023) Filip Markovic, Pierre Roux , Sergey Bozhko , Alessandro Papadopoulos, Björn B. Brandenburg 44th IEEE Real-Time Systems Symposium (RTSS 2023)
Evaluating Dispatching and Scheduling Strategies for Firm Real-Time Jobs in Edge Computing (Oct 2023) Shaik Salman, Thomas Nolte, Alessandro Papadopoulos, Saad Mubeen 49th Conference of the IEEE Industrial Electronics Society 2023 (IECON 2023)
Dispatching Deadline Constrained Jobs in Edge Computing Systems (Oct 2023) Shaik Salman, Alessandro Papadopoulos, Thomas Nolte, Saad Mubeen 28th International Conference on Emerging Technologies and Factory Automation (ETFA 2023)
Branko Miloradovic (former)
Mirgita Frasheri (former)
Niklas Persson
Anders Lager
Anna Friebe
Bjarne Johansson
Daniel Bujosa Mateu
Hamid Reza Faragardi (former)
Mahdi Momeni Kelageri
Shaik Salman
Sheela Hariharan
Václav Struhár