Advanced Engineering Services
What we do
As modern systems become more complex, it is becoming increasingly difficult to analyze and assess them. More and more system behaviors that were never anticipated during development are being discovered late during testing and operation. Problems like unexpected interactions in software-intensive systems, interoperability issues between subsystems, subtle but important flaws in requirements, unanticipated human interactions, and undesirable automated behaviors are becoming increasingly common. These gaps have been recognized as principle barriers holding back advances in modern complex systems.
Advanced Engineering Services (AES) was founded to support practitioners who are adopting new methods based on system theory to analyze their systems. These model-based approaches, developed and evaluated at MIT, have been shown to address often-overlooked problems such as incorrect engineering assumptions, unexpected or conflicting subsystem behaviors, inadequate or incomplete requirements, and unanticipated interactions. AES provides education, training, and method guidance for professionals who are learning and applying these new techniques.
Industries
Energy
Automotive
Trucking
Oil & Gas
Chemical
Healthcare
Medical Devices
Airlines
Rail
Others
Services
AES's mission is to help companies leverage the latest research and the most effective solutions created for the issues above. To achieve this mission, AES provides the following services designed to support industry exploration, implementation, and adoption of advanced engineering methods:
Professional training classes
Dedicated workshops
Method facilitation
Extended project-based support
Analysis and assessment
Customized, tailored consulting as needed
Etc.
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Footnotes
1) In fact, the computer was deliberately programmed that way in an effort to prevent accidental activation in flight. See also Francesca M. Favarò, David W. Jackson, Joseph H. Saleh, Dimitri N. Mavris, Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms, Reliability Engineering & System Safety, Volume 113, May 2013, Pages 131 -142, ISSN 0951 -832
2) See Miller, Charlie, and Chris Valasek. "Remote Exploitation of an Unaltered Passenger Vehicle." white paper, Black Hat, Aug (2015). See also the news coverage, such as http://www.theverge.com/2016/8/2/12353186/car-hack-jeep-cherokee-vulnerability-miller-valasek