Dr. Dragana Đorđević Čegar
Dragana Đorđević Čegar is the Global Software Quality Lead at Schneider Electric with over 12 years of expertise in software quality. She is the author and/or co-author of several patents and more than 30 publications; Licensed intact Provisional Assessor ASPICE and Instructor at the University of California San Diego.
She has been the Global Manager Quality Customer Programs and QMS at TTTech Auto AG and has 10 years of experience in the automotive software industry.
She received the BSc and MSc degrees in electrical and computer engineering with focus on communication and information technology, from the Electronic Faculty, University of Niš, Serbia in 2011 and 2012 respectively. Dr. Đorđević Čegar also received PhD degree in electrical and computer engineering with focus on artificial intelligence from the Faculty of Technical Sciences, University of Novi Sad, Serbia in 2021. While working on PhD she was part of Quaint community tightly collaborating with several Universities such as Polytechnic University of Nantes, EPFL, NTNU, Vrije Universiteit Brussel etc.
The primary industry focus of Dr. Đorđević Čegar is how to deliver software quality in automotive embedded safety systems, establishment of automated software quality metrics and implementation of AI in automotive software industry. As Provisional Assessor and responsible for Quality Customer Programs and QMS she was actively preparing, driving and participating in ASPICE, ISO 26262, Cybersecurity and ISO 9001,14001, 27001 etc. audits and assessments. Thru her career as Automotive Software Quality Manager she participated and ensured quality of delivery to VW group OEMs, AutoEver (Hyundai), SAIC motors, BMW etc.
She is author or/and co-author of several patents and more than 30 publications. During her career she was working as patent portfolio engineer and therefor actively involved in creation of RT-RK Institute patent portfolio.
References
- Bogdan Pavković, Vladimir Marinković, Dragana Đorđević Čegar, Milan Z. Bjelica. “Safety done right: Systems, Software, Standards and Attitudes”. In: 2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC), IEEE, 2022, pp. 1-1. DOI: 10.1109/zinc55034.2022.9840691.
- Dragana Đorđević Čegar, Miguel Barreda-Ángeles, Dragan Kukolj, Patrick Le Callet. “Modelling effects of S3D visual discomfort in human emotional state using data mining techniques”. Multimedia Tools and Applications, 2020, Vol. 79, No. 27-28, pp. 19803-19829. DOI: 10.1007/s11042-020-08844-3.
Courses
NIT-FSBA-04
Automotive Quality and Project Management with ASPICE
Learn specifics about projects and processes in automotive engineering and how they impact safety.