Nasser Jazdi, PhD

Nasser Jazdi, PhD

Academic Senior Councilor & Academic Director | Deputy Director | Visiting professor at the Anhui University | IEEE Senior Member

University of Stuttgart

Dr. Nasser Jazdi is an electrical engineer and researcher with 20+ years of experience in industrial automation and software engineering. He has a Ph.D. from the University of Stuttgart and is currently the Deputy Director of the Institute of Industrial Automation and Software Engineering at the same university. His research interests include software reliability, machine learning, and AI in industrial automation. He has led many industrial projects and published widely in journals and conferences.

Professional Background

Visiting Prof Anhui
University of Stuttgart
February 2023 – Present
Deputy Director of IAS
University of Stuttgart
January 2003 – Present
PhD. Studying
University of Stuttgart
January 1997 – January 2003
Study EE Dipl-Ing
University of Stuttgart
January 1990 – January 1997

Experience & Engagement

Publication Chair by IEEE
Publication Chair by IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022
VDI-GPP FB5 Technical Advisory Board Safety and Reliability
Vice Chair for Education
Vice Chair for Education in TC 3.3. Telematics: Control via Communication Networks / International Federation of Automatic Control (IFAC)
Reviewer at the Alexander von Humboldt Foundation
VDI/VDE-GMA Technical Committee 6.12 Continuous Engineering of Control Systems
IEEE Senior Member
VDI-GPP FA510 Software Reliability – Developing of the VDI4011-standard
Visiting Scientist
Visiting Scientist in the Laboratory of Prof. Lotfi Zadeh, in the Department of Electrical Engineering and Computer Sciences at UC Berkeley
VDE member


PtX platform
The H2Mare project, which started in spring 2021, is one of three hydrogen lead projects funded by the German Federal Ministry of Education and Research (BMBF) to make a key contribution to implementing the national hydrogen strategy.
PtX platform
EmuDig 4.0
Efficiency boost in massive forming through the development and integration of digital technologies in engineering along the entire value chain
EmuDig 4.0


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(2018). Durchgängiges und dynamisches Engineering von Anlagen.

(2018). Agent Design Patterns for Assistance Systems in various Domains – a Survey.

(2018). Anomaly Detection in Discrete Manufacturing Using Self-Learning Approaches.