You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at
  • technical reports and other articles issued by Mälardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact

IDT Open Seminar - Automated testing, machine learning and simulation software for automotive domain


Ciprian Paduraru



Start time:

2022-05-05 13:15

End time:

2022-05-05 14:30



Contact person:


The presentation will give an overview of the research I have been doing recently at the University of Bucharest and the Romanian Academy. The topics covered include AI, software testing, animation and simulation in different areas such as self-driving cars, IoT, Guided Fuzzing. I will also present some research ideas and planned future work, and perhaps initiate collaboration with the audience. If you have not visited our university or Bucharest yet, I will also show you why it is worth visiting us!

Ciprian Paduraru is currently an Associate professor at University of Bucharest and Machine Learning Researcher at Romanian Academy. He teaches courses such as Reinforcement Learning and Parallel Programming (CPU, GPU, Cloud). His research is currently focused on two areas: (a) safety of self-driving cars using computer vision techniques in the research projects of Romanian Academy and (b) automatic software testing in the research teams ATLAS and SASHA at the University of Bucharest. Within the two teams, Ciprian researches and publishes in the area of fuzzing and symbolic execution methods using classical AI, Deep Learning and more recently Reinforcement Learning methods. Ciprian has also worked in the game development industry for the last 16 years, focusing on implementing AI in top games. He is active in the simulation engine developers community and has worked and prototyped with several public or proprietary ones.