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Midwest Gateway

Midwest Gateway Chapter

Welcome to the Midwest Gateway Chapter of INCOSE. We are based in the St Louis region, from Rolla to the Metro East.

Bronze Chapter Award 2004
2004
Bronze Chapter Award 2005
2005
 Bronze Chapter Award 2005
2020
Silver Chapter Award 2006
2006
Silver Chapter Award 2007
2007
Silver Chapter Award 2008
2008
Silver Chapter Award 2009
2009
Silver Chapter Award 2010
2010
Silver Chapter Award 2011
2011

Symposium on Artificial Intelligence – Machine Learning in Safety Critical Systems

  • Date:
    Dates: 21-22 October 2020 | 16:00 - 20:00 Indian Standard Time (UTC +5:30)
    UTC
  • Address: Virtual Symposium
  • Venue:
    Virtual Symposium
Artificial Intelligence for Systems Engineering - AI4SE 2021
Machine Learning in Safety Critical Systems

Location
: Virtual
Dates: 21-22 October 2020
Time: 16:00 - 20:00 Indian Standard Time (UTC +5:30)
Registrationhttps://www.aesievents.com/registration

INCOSE India, in collaboration with IEEE Systems Council Bangalore Chapter and Aeronautical Society of India, is organizing this virtual symposium to bring together experts from multiple sectors such as aerospace and automotive, to share their research findings and experiences on various challenges pertaining to adoption of AI-ML in safety critical systems.

There is an increasing demand for safety critical engineered systems to inculcate humanlike-intelligence and autonomy through adoption of Artificial Intelligence (AI) models, including data-driven decision making capabilities based on machine-learning (ML) algorithms and techniques. This demand is exponentially increasing the complexity in the design, verification, and validation of such safety critical intelligent systems that are subjected to regulations and certifications.

Engineering such systems requires an assurance on the behavior and performance of the system, and may require new approaches in arriving at the system design, in ensuring that the system is ready for operations, and in engineering safe and effective human interaction with intelligent systems. Challenges include new failure modes (e.g. negative side effects, unsafe exploration), unpredictability (e.g. performance on unseen data), trust and robustness (e.g. explainable decisions and behavior).

This symposium aims to bring together experts from multiple sectors such as aerospace, automotive, industrial automation and healthcare to share their research findings and experiences on various challenges pertaining to adoption of AI-ML in safety critical systems, including implications on regulations and certification.

See the Flyer for more details

Upcoming Chapter Events

New Chapter Members

The following individuals joined the Midwest Gateway Chapter in 2021:
Jan 5 - Ha Phuong Le
Jan 21 - Bertrand Hughes
Mar 26 - Brendan Devine
Aug 10 - Lucas Mobberley
Aug 17 - Geoffrey Buck
Aug 18 - Ross Schwake
Aug 20 - Lori Kao
Sep 24 - Caleb Blissett

Symposium on Artificial Intelligence – Machine Learning in Safety Critical Systems

  • Date:
    Dates: 21-22 October 2020 | 16:00 - 20:00 Indian Standard Time (UTC +5:30)
    UTC
  • Address: Virtual Symposium
  • Venue:
    Virtual Symposium
Artificial Intelligence for Systems Engineering - AI4SE 2021
Machine Learning in Safety Critical Systems

Location
: Virtual
Dates: 21-22 October 2020
Time: 16:00 - 20:00 Indian Standard Time (UTC +5:30)
Registrationhttps://www.aesievents.com/registration

INCOSE India, in collaboration with IEEE Systems Council Bangalore Chapter and Aeronautical Society of India, is organizing this virtual symposium to bring together experts from multiple sectors such as aerospace and automotive, to share their research findings and experiences on various challenges pertaining to adoption of AI-ML in safety critical systems.

There is an increasing demand for safety critical engineered systems to inculcate humanlike-intelligence and autonomy through adoption of Artificial Intelligence (AI) models, including data-driven decision making capabilities based on machine-learning (ML) algorithms and techniques. This demand is exponentially increasing the complexity in the design, verification, and validation of such safety critical intelligent systems that are subjected to regulations and certifications.

Engineering such systems requires an assurance on the behavior and performance of the system, and may require new approaches in arriving at the system design, in ensuring that the system is ready for operations, and in engineering safe and effective human interaction with intelligent systems. Challenges include new failure modes (e.g. negative side effects, unsafe exploration), unpredictability (e.g. performance on unseen data), trust and robustness (e.g. explainable decisions and behavior).

This symposium aims to bring together experts from multiple sectors such as aerospace, automotive, industrial automation and healthcare to share their research findings and experiences on various challenges pertaining to adoption of AI-ML in safety critical systems, including implications on regulations and certification.

See the Flyer for more details
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