DATE 2021 became a virtual conference due to the worldwide COVID-19 pandemic (click here for more details)

Taking into consideration the continued erratic development of the worldwide COVID-19 pandemic and the accompanying restrictions of worldwide travelling as well as the safety and health of the DATE community, the Organizing Committees decided to host DATE 2021 as a virtual conference in early February 2021. Unfortunately, the current situation does not allow a face-to-face conference in Grenoble, France.

The Organizing Committees are working intensively to create a virtual conference that gives as much of a real conference atmosphere as possible.


ASDW05-08 Self-Awareness for Autonomy

Session Start
Fri, 17:00
Session End
Fri, 17:55


  • Organizer / Chair: Nikil Dutt (UC Irvine, USA) 

  • Session Abstract: 

    Self-awareness principles promise to endow autonomous systems with high degrees of adaptivity and resilience, borrowing from an abundance of examples in biology and nature. However, the engineering of dependable and predictable autonomous systems pose significant challenges for explainability, testing, and bounding safe behaviors. This session begins with short presentations by academic and industry speakers on these topics, and is followed by an interactive discussion with the audience. The first presentation by Prof. Andreas Herkersdorf (TU Munich) discusses how transparent machine learning techniques can be coupled with self-awareness  to improve dependability in autonomous systems. The second presentation by Dr. Ahmed Nassar (Nvidia) addresses issues in training and testing of self-aware autonomous agents. The third presentation by Dr. Prakash Sarathy (Northrup Grumman) describes how to bound the emergent behavior of autonomous systems using a self-aware dataflow computing paradigm. The session is then followed by an open discussion between the audience and the speakers on research challenges and future directions at the intersection of self-awareness and autonomy. 

  • Speakers:

    • A. Herkersdorf, TU Munich, Germany.   

      Transparent ML as a means of enhancing dependable autonomy 

    • A. Nassar, Nvidia, USA. 

      Continuous Training and Testing of Autonomous Agents: The Road to Self-Awareness 

    • P. Sarathy, Northrop Grumman, USA. 

      Self-aware dataflow computing for Bounded Behavior Assurance