Bahar Houtan, Doctoral student
The focus of my research towards Ph.D. is on providing solutions and techniques that facilitate the configuration and development of predictable vehicle software utilizing the IEEE TSN standards.
Configuring and Analysing TSN Networks Considering Low-priority Traffic (Dec 2021) Bahar Houtan
Supporting End-to-end Data-propagation Delay Analysis for TSN Networks (Nov 2021) Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen MRTC Report, Mälardalen Real-Time Research Centre (MRTC 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)
Synthesising Schedules to Improve QoS of Best-effort Traffic in TSN Networks (Apr 2021) Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen 29th International Conference on Real-Time Networks and Systems (RTNS'21) (RTNS 2021)
An Automated Configuration Framework for TSN Networks (Mar 2021) Bahar Houtan, Albert Bergström , Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen 22nd IEEE International Conference on Industrial Technology (ICIT'21) (ICIT 2021)
Work in Progress: Investigating the Effects of High Priority Traffic on the Best Effort Traffic in TSN Networks (Dec 2019) Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen 40th IEEE Real-Time Systems Symposium (RTSS'19) (RTSS 2019)