Saad Mubeen, Associate Professor, Docent

Saad Mubeen is an Associate Professor at the School of Innovation, Design and Engineering at Mälardalen University Sweden. He holds a Master degree in Electrical Engineering specialization in Embedded Systems from Jönköping University, in 2009. He received his Licentiate and PhD degrees in Computer Science and Engineering from Mälardalen University in 2012 and 2014 respectively. He received his Docent title in Computer Science with a focus on "Developing Predictable Vehicular Embedded Systems" in 2018.

Saad's research focus is on model- and component-based software development of predictable embedded systems, modeling and timing analysis of on-board real-time communication, modeling and end-to-end timing analysis of distributed embedded systems.

Saad's research focus is on model- and component-based software development of predictable embedded systems, modeling and timing analysis of on-board real-time communication, modeling and end-to-end timing analysis of distributed embedded systems.

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Latest publications:

Modelling multi-criticality vehicular software systems: evolution of an industrial component model (Jun 2020)
Alessio Bucaioni, Saad Mubeen, Federico Ciccozzi, Antonio Cicchetti, Mikael Sjödin
International Journal on Software and Systems Modeling (SoSyM'20)

A Systematic Migration Methodology for Complex Real-time Software Systems (May 2020)
Shaik Salman, Alessandro Papadopoulos, Saad Mubeen, Thomas Nolte
The 23rd International Symposium on Real-Time Distributed Computing (ISORC'20)

DPAC Newsletter Spring 2020 (May 2020)
Kristina Lundqvist, Mikael Sjödin, Saad Mubeen, Håkan Forsberg, Mikael Ekström, Cristina Seceleanu, Nandinbaatar Tsog, Jakob Danielsson, Mohammad Loni, Baran Çürüklü, LanAnh Trinh, Afshin Ameri E., Luciana Provenzano, Kaj Hänninen, Susanne Fronnå, Marjan Sirjani, Rong Gu, Masoud Daneshtalab, Sima Sinaei, Joakim Lindén

Timing Predictability and Security in Safety-critical Industrial Cyber-physical Systems: A Position Paper (Apr 2020)
Saad Mubeen, Elena Lisova, Aneta Vulgarakis Feljan
Applied Sciences--Special Issue "Emerging Paradigms and Architectures for Industry 4.0 Applications" (ApplSci'20)

Architecting and Analysing Connected Autonomous Vehicles (Mar 2020)
Alessio Bucaioni, Patrizio Pelliccione , Saad Mubeen
IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE (ICSA 2020)

MoVES Meets the Real World Automotive Benchmarks (Feb 2020)
Alessio Bucaioni, Saad Mubeen
21st IEEE International Conference on Industrial Technology (ICIT'20)

PhD students supervised as main supervisor:

Bahar Houtan

PhD students supervised as assistant supervisor:

Adnan Ghaderi
Alessio Bucaioni (former)
Daniel Brahneborg
Husni Khanfar
Matthias Becker (former)
Nandinbaatar Tsog