Saad Mubeen, Associate Professor, Docent

Saad Mubeen is an Associate Professor at the School of Innovation, Design and Engineering at Mälardalen University Sweden since March 2018. 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.

 

Open positions

  • No open positions at the moment.

 

Granted projects

  • 2021-2025: INTERCONNECT: Integrated Time Sensitive Networking and Legacy Communications in Predictable Vehicle-platforms, ~12.5 MSEK (VINNOVA)
  • 2020-2024: PROVIDENT: Predictable Software Development in Connected Vehicles Utilising Blended TSN-5G Networks, ~11.3 MSEK (VINNOVA)
  • 2019-2022: DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networkings, ~13.5 MSEK (VINNOVA)
  • 2018-2022: HERO: Heterogeneous systems - software-hardware integration, ~26 MSEK (KKS)
  • 2016-2018: PreView: Developing Predictable Vehicle Software on Multi-core, ~3.7 MSEK (KKS)
  • 2016-2017: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT, ~1 MSEK (European Software Center, Chalmers University of Technology)


Licentiate and PhD defense of supervised students


Community services

 


 

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:

Automotive Service-oriented Architectures: a Systematic Mapping Study (Aug 2022)
Nemanja Kukulicic , Damjan Samardzic , Alessio Bucaioni, Saad Mubeen
48th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA'22)

GeoRep – Resilient Storage for Wide Area Networks (Jul 2022)
Daniel Brahneborg, Romaric Duvignau , Wasif Afzal, Saad Mubeen
Journal of IEEE Access (IEEE-Access)

Resilient Conflict-free Replicated Data Types without Atomic Broadcast (Jul 2022)
Daniel Brahneborg, Wasif Afzal, Saad Mubeen
17th International Conference on Software Technologies (ICSOFT 2022)

Towards a Predictable and Cognitive Edge-Cloud Architecture for Industrial Systems (Jul 2022)
Mohammad Ashjaei, Saad Mubeen, Masoud Daneshtalab, Victor Casamayor , Geoffrey Nelissen
Real-time And intelliGent Edge computing workshop (RAGE2022)

AVB-aware Routing and Scheduling for Critical Traffic in Time-sensitive Networks with Preemption (Jun 2022)
Aldin Berisa, Luxi Zhao , Silviu Craciunas , Mohammad Ashjaei, Saad Mubeen, Masoud Daneshtalab, Mikael Sjödin
The 30th International Conference on Real-Time Networks and Systems (RTNS'22)

An Evaluation Framework for Modeling Languages Supporting Predictable Vehicular Software Systems (Apr 2022)
Enxhi Ferko, Igli Jasharllari , Alessio Bucaioni, Mohammad Ashjaei, Saad Mubeen
19th International Conference on Information Technology : New Generations (ITNG2022)

PhD students supervised as main supervisor:

Aldin Berisa
Bahar Houtan
Sahar Mobaiyen
Zenepe Satka

PhD students supervised as assistant supervisor:

Alessio Bucaioni (former)
Daniel Brahneborg
Husni Khanfar
Matthias Becker (former)
Nandinbaatar Tsog (former)
Shaik Salman