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.

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Latest publications:

Using NETCONF for Automatic Fault Diagnosis in Time-Sensitive Networking (Sep 2024)
Ines Alvarez, Saad Mubeen, Mohammad Ashjaei
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'24)

Redundancy Link Security Analysis:\\An Automation Industry Perspective (Sep 2024)
Björn Leander, Bjarne Johansson, Saad Mubeen, Mohammad Ashjaei, Tomas Lindström
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'24)

Task Offloading in Edge-cloud Computing using a Q-Learning Algorithm (Jun 2024)
Somayeh Abdi, Mohammad Ashjaei, Saad Mubeen
The International Conference on Cloud Computing and Services Science (CLOSER 2024)

Evolution of an Automotive Modelling Language for Enhanced Support of Diverse Network Interface Controllers (Feb 2024)
Alessio Bucaioni, Saad Mubeen
International Conference on Artificial Intelligence, Control, Data Sciences and Applications 2024 (ACDSA 2024)

Modelling Centralised Automotive E/E Software Architectures   (Dec 2023)
Alessio Bucaioni, Patrizio Pelliccione , Saad Mubeen
Advanced Engineering Informatics (AEI)

Server Time Reservation for Periodic Real-Time Applications (Dec 2023)
Ali Balador, Lizzy Tengana , Mohammad Ashjaei, Saad Mubeen
The First International Workshop on Intelligent Systems and Paradigms for Next Generation Computing Evolution (INSPIRE'23)

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 active
EEMDEF finished
Femmva - Functional- and execution-models in modern electronic vehicle architectures finished
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
RELIANT Industrial graduate school: Reliable, Safe and Secure Intelligent Autonomous Systems active
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