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:

A Comprehensive Exploration of Languages for Parallel Computing (Dec 2021)
Federico Ciccozzi, Lorenzo Addazi, Sara Abbaspour Asadollah, Björn Lisper, Abu Naser Masud, Saad Mubeen
ACM Computing Surveys (CSUR'21)

Implications of Various Preemption Configurations in TSN Networks (Oct 2021)
Mohammad Ashjaei, Lejla Murselović , Saad Mubeen
IEEE Embedded Systems Letters (Embed Syst Lett)

Scheduling Elastic Applications in Compositional Real-Time Systems (Sep 2021)
Shaik Salman, Alessandro Papadopoulos, Filip Markovic, Saad Mubeen, Thomas Nolte
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)

Schedulability Analysis of Best-Effort Traffic in TSN Networks (Sep 2021)
Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Sara Afshar, Saad Mubeen
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)

Offloading Accelerator-intensive Workloads in CPU-GPU Heterogeneous Processors (Sep 2021)
Nandinbaatar Tsog, Saad Mubeen, Fredrik Bruhn, Moris Behnam, Mikael Sjödin
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)

A Trade-Off between Computing Power and Energy Consumption of On-Board Data Processing in GPU Accelerated In-Orbit Space Systems (Sep 2021)
Nandinbaatar Tsog, Saad Mubeen, Mikael Sjödin, Fredrik Bruhn
Transactions of the Japan Society for Aeronautical and Space Sciences, Aerospace Technology Japan (ATJ19)

PhD students supervised as main supervisor:

Aldin Berisa
Bahar Houtan
Zenepe Satka

PhD students supervised as assistant supervisor:

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