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:

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)

Worst-case Execution Time Estimation of Legacy Vehicular Embedded Functions: An Industrial Case Study (Feb 2020)
Marcus Ventovaara , Arman Hasanbegovic , Jimmie Wiklander , Saad Mubeen
21st IEEE International Conference on Industrial Technology (ICIT'20)

On Model-based Development of Embedded Software for Evolving Automotive E/E Architectures (Jan 2020)
Alessio Bucaioni, John Lundbäck , Mikael Sjödin, Saad Mubeen
17th International Conference on Information Technology : New Generations (ITNG'20)

Work in Progress: Investigating the Effects of High Priority Traffic on the Best Effort Traffic in TSN Networks (Dec 2019)
Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
40th IEEE Real-Time Systems Symposium (RTSS) (RTSS'19)

Modelling and Timing Analysis of Real-time Applications on Evolving Automotive E/E Architectures using Rubus-ICE (Dec 2019)
Alessio Bucaioni, John Lundbäck , Mattias Gålnander , Kurt-Lennart Lundbäck , Mohammad Ashjaei, Matthias Becker, Saad Mubeen
Open Demo Session of Real-Time Systems 2019 (RTSS@Work'19)

PhD students supervised as main supervisor:

Bahar Houtan

PhD students supervised as assistant supervisor:

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