Visible to the public Design Automation for CPS and IoT (DESTION 2022)

Visible to the public 

Design Automation for CPS and IoT (DESTION 2022)

Virtual Event at IEEE/ACM CPS-IoT WEEK 2022  |  May 3, 2022

 

Despite the best efforts of the whole organizing committee, the tail of the pandemic is preventing us from running CPS-IoT Week with an in-person component, as we planned originally. CPS-IoT Week will therefore run as a virtual event. Opting for this choice instead of a hybrid event was a tough decision where we had to strike a balance among several constraints. Detailed information, including registration options, will be available shortly on the website of CPS-IoT Week and of all its conferences and related events.

 

DESTION 2022 will take place on May 3, 2022 on the first day of the CPS-IoT Week events. 

The target audience of DESTION 2022 is researchers and practitioners of CPS design methodologies, machine learning, experts from the tool industry, and end-users from systems companies engaged in CPS and IoT development. The Workshop is tool-oriented with primary emphasis on discussing and demonstrating new design tool concepts and implementations.

Important Dates

  • 13 February 2022 (AoE) : Submission deadline : submit at   https://easychair.org/my/conference?conf=destion2022 
  • 1 March 2022: Author notification
  • 13 March 2022: Camera-ready submission (IEEE submission link was sent over email from EasyChair. Please contact the chairs if you have questions).
  • 3 May, 2022: Workshop day

Overview

Cyber-Physical Systems (CPS) such as aircraft, automobiles, industrial robots, medical devices, and Internet-of-Things (IoT) applications, promise significant economic and societal benefits. The design, verification, validation, testing, and operation of such systems present several challenges induced by scale, complexity, uncertainty, and many stringent requirements on safety, performance, security, availability, and many other metrics.


There has been a drastic shift in the manner in which products are designed in the past few decades, from being predominantly mechanical and having independent components to being cyber-physical with highly interacting components. This has resulted in an explosion in the design complexity, leading to very long design cycle times. For several of the complex systems presented above the design process can last years involving several redesign loops. To circumvent this issue, the current state of practice relies on “hot-starting” a new design from a known baseline, which unfortunately limits innovation, preventing a detailed exploration of the design space. The design space, on the other hand, is significantly more complex given the interdependent nature of the multidisciplinary design problem. There have been numerous advances in the area of AI for Design Automation methods that have been shown to help in the design of these complex systems, as well as in their autonomous operations. These methods range from natural language processing for requirements engineering, physics-informed models to accelerate simulations, Bayesian methods for uncertainty quantification, probabilistic programming methods to represent designs as a handful of examples. On the other hand, as AI is integrated into a diverse variety of systems such as autonomous vehicles, energy grids, health care, IoTs, and social network platforms, the challenge of design and verification of AI-enabled systems has become extremely important. This has led to new Design Automation for AI methods of interest including network architecture exploration techniques, AI testing and verification methods, and simulation tools.

About DESTION

DESTION provides a premier forum for researchers and engineers from academia, industry, and government to present and discuss challenges, promising solutions, and applications in design automation for CPS and IoT. DESTION 2022 has a broad scope covering techniques and tools for modeling, simulation, synthesis, validation, and verification of CPS and IoT, with a focus on “AI for Design Automation” and “Design Automation for AI”, and their applications in a variety of domains, such as automotive and transportation systems, avionics, robotics, building architectures, grid, and medical devices.

CALL FOR PAPERS (Download PDF version)

We invite contributions in the following main topics (but not limited to):

  • Machine learning in CPS/IoT

  • Assurance and formal verification methodologies

  • Correct-by-construction design and evolution

  • Requirement engineering

  • Real-time execution

  • Testing, evaluation and uncertainty quantification methods

  • Languages and tools for specification and design

  • Architectural design

  • Circuit design 

  • Run-time monitoring

  • Benchmarks and datasets

Submissions

Papers: All submissions must be in English. Only original papers that have not been submitted or published in other conferences or journals will be considered. Full technical contributions should have no more than 6 pages, excluding references and appendix. We also welcome shorter papers. 

Tool Papers, Benchmark Releases, and Demos: DESTION 2022 also seeks 2-page abstracts (excluding references) describing benchmarks, tool descriptions, and demos. Supplementary materials for tools and demos such as videos, repository links, and online accessible web-applications are encouraged. 

Please submit your papers and abstracts at https://easychair.org/conferences/?conf=destion2022. The submission must be in the IEEE format, and authors can use the Latex template available at https://www.ieee.org/conferences/publishing/templates.html. All accepted papers and demo abstracts will be published in IEEE Xplore as part of the DESTION 2022 proceedings.

 

Program Co-Chairs: 

Susmit Jha (SRI International, USA)

Arun Ramamurthy (Siemens, USA)

 

General Chairs:

Abhishek Dubey (Vanderbilt University, USA) 

Alessandro Pinto (Raytheon Technologies)

 

Steering Committee:

Werner Damm (Carl von Ossietzky Universitat Oldenburg, Germany) 

Edward A. Lee (University of California, Berkeley, USA) 

Richard Murray (California Institute of Technology, USA) 

George J. Pappas (University of Pennsylvania, USA) 

Alberto Sangiovanni-Vincentelli (University of California, Berkeley, USA) 

S. Shankar Sastry (University of California, Berkeley, USA) 

Janos Sztipanovits (Vanderbilt University, USA) 

Qi Zhu (Northwestern University, USA)

 

Program Committee:

Alessio Lomuscio (Imperial College London)

Himanshu Neema (Vanderbilt University)

Maggie Wigness (Army Research Laboratory)

Sanjai Narain (Perspecta Labs)

Martin Schoeberl (Technical University)

Brian Jalaian (Virginia Tech)

Sydney Whittington (Southwest Research Institute)

Rakesh Kumar (SRI International)

Oleg Sokolsky (University of Pennsylvania)

Christopher McComb (Carnegie Mellon University)

Chuchu Fan (MIT)

Theodore Bapty (Vanderbilt University)

Daniel Balasubramanian (Vanderbilt University)

Paulo Tabuada (UCLA)

Rolf Drechsle (University of Bremen)

Qinru Qiu (Syracuse University)

Pierluigi Nuzzo (University of Southern California)

Aron Laszka (University of Houston)

Wolfgang Reifreif (University of Augsburg)

Prashant Shenoy (University of Massachusetts, Amherst)

Hyunjee Jin (Siemens Corporation, Technology)

 

DESTION 2021 Archives , DESTION 2020 Archives , DESTION 2019 Archives