Mohammad Abboush, M.Sc.

Institute for Software and Systems Engineering

Sprechzeiten
nach Vereinbarung

Links
https://www.researchgate.net/profile/Mohammad_Abboush

https://orcid.org/0000-0002-5533-0029

Vita

• Seit 2019: Wissenschaftlicher Mitarbeiter an der Technischen Universität Clausthal
• 2018: Masterabschluss im Studiengang Mechatronics Engineering mit dem Titel 'Deep Learning Application in Fault Detection and Diagnosis of Mechatronics Systems, A Case Study: Demand-controlled Ventilation and Heating System based on Wireless Sensor and Actuator Networks'
• 2017 - 2018: Wissenschaftliche Hilfskraft mit Bachelorabschluss an der Universität Siegen
• 2015 - 2018: DAAD Stipendium "Programm Führung für Syrien"

Research

• Timing Analysis and Steering system Development (VW)
• Hardware-in-the-loop based real-time testing of automotive software system

Teaching

• Student theses (supervisor)
  • Deep Learning applications in automotive software system testing  
• Exercises instructor
  • Software System Engineering WS2020/21
  • Programming course SS2022

Publications

• M Abboush, D Bamal, C Knieke, A Rausch, "Intelligent Fault Detection and Classification Based on Hybrid Deep Learning Methods for Hardware-in-the-Loop Test of Automotive Software Systems", Sensors 2022, 22, 4066.
• M Abboush, D Bamal, C Knieke, A Rausch, "Hardware-in-the-Loop-Based Real-Time Fault Injection Framework for Dynamic Behavior Analysis of Automotive Software Systems", Sensors 2022, 22, 1360.
• TM Ailane, M Abboush, C Knieke, A Lawendy, A Rausch, "Toward Formalizing The Emergent Behavior in Software Engineering", 2021 IEEE/ACM Joint 9th International Workshop on Software Engineering for Systems-of-Systems and 15th Workshop on Distributed Software Development, Software Ecosystems and Systems-of-Systems (SESoS/WDES). 
• A. Behravan, M. Abboush, R. Obermaisser, "Deep Learning Application in Mechatronics Systems’ Fault Diagnosis, a Case Study of the Demand-Controlled Ventilation and Heating System", The 2019 Internet of Things, Mechatronics and their Applications International Conference (IoTMAC’2019) in Advances in Science and Engineering Technology (ASET’2019) conference, Dubai, United Arab Emirates, 2019.
• A. Behravan, M. Abboush, R. Obermaisser, "Fault Injection Framework for Demand-Controlled Ventilation and Heating Systems Based on Wireless Sensor and Actuator Networks", The 9th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON 2018) "BEST PAPER AWARD", University of British Columbia, Vancouver, Canada, 2018. Best Paper Award