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.

Granted projects

  • 2020-2024: PROVIDENT: Predictable Software Development in Connected Vehicles Utilising Blended TSN-5G Networks, ~11.3 MSEK (VINNOVA)
  • 2019-2021: 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.

PhD students supervised as main supervisor:

Bahar Houtan
Zenepe Satka

PhD students supervised as assistant supervisor:

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