Saad Mubeen, Professor

Saad Mubeen is a Full Professor of Computer Scinece, specializing in Predictable Embedded Systems at the School of Innovation, Design and Engineering at Mälardalen University Sweden since August 2022. 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 (Associate Professor) in Computer Science with a focus on "Developing Predictable Vehicular Embedded Systems" in March 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

  • 2023-2026: SEINE: Automatic Self-configuration of Industrial Networks, ~8.5 MSEK 
  • 2023-2026: AORTA: Advanced Offloading for Real-Time Applications, ~20 MSEK (VINNOVA)
  • 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)


PhD and Licentiate defenses 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.

[Show all publications]

[Google Scholar author page]

Latest publications:

Scheduling 5G Radio Resources for the Transmission of Real-time TSN Flows (Sep 2025)
Zenepe Satka, Federico Aromolo , Mohammad Ashjaei, Alessandro Biondi , Daniel Casini , Hossein Fotouhi, Niccolo Borgioli , Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen

Problem-Based Learning in an Educational and Training Module on Model-Based Development of Vehicle Software (Jun 2025)
Saad Mubeen, Mohammad Ashjaei
International Conference on Evaluation and Assessment in Software Engineering (EASE'25)

Experimental Evaluation of a CAN-to-TSN Gateway Implementation (May 2025)
Aldin Berisa, Saad Mubeen, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Benjamin Kraljusic , Nejla Zahirovic
28th International Symposium On Real-Time Distributed Computing (ISORC2025)

Enhancing Real-Time Networked Embedded Systems with End-to-end TSN-5G Networks (Dec 2024)
Zenepe Satka, Saad Mubeen, Mohammad Ashjaei, Daniel Ragnarsson , Didrik Nordin
IEEE 14th International Symposium on Industrial Embedded Systems (SIES2024)

Taming Tardiness on Parallel Machines: Online Scheduling with Limited Job Information (Oct 2024)
Shaik Salman, Thomas Nolte, Alessandro Papadopoulos, Saad Mubeen
MRTC Report, Mälardalen Real-Time Research Centre (MRTC 2024)

Towards Developing a Supervisory Agent for Adapting the QoS Network Configurations (Sep 2024)
Sebastian Leclerc, Kasra Ekrad, Bjarne Johansson, Ines Alvarez, Mohammad Ashjaei, Saad Mubeen
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'24)

Project TitleStatus
PROVIDENT: Predictable Software Development in Connected Vehicles Utilising Blended TSN-5G Networks active
AORTA: Advanced Offloading for Real-Time Applications active
AutoFL: Cross-Layer Trusted Systems for Heterogeneous Federated Learning at Scale active
DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking finished
DPAC - Dependable Platforms for Autonomous systems and Control finished
EEMDEF finished
Femmva - Functional- and execution-models in modern electronic vehicle architectures finished
FLEXATION - Flexible and Secure Modular Automation active
FutureE finished
HERO: Heterogeneous systems - software-hardware integration finished
INTERCONNECT: Integrated Time Sensitive Networking and Legacy Communications in Predictable Vehicle-platforms active
PRESS - Predictable Embedded Software Systems finished
PreView: Developing Predictable Vehicle Software on Multi-core finished
SEINE: Automatic Self-configuration of Industrial Networks active
Sprint 10 Project: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
Sprint 11 Project: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
Sprint 12 Project: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
Sprint 13 Project: SLA-IoT - Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
SynthSoft - Synthesizing Predictable Software for Distributed Embedded Systems finished
XPRES - Excellence in Production Research active