Solve complex problems with MICHAEL SCHMID

USE a systems approach
To solve complex problems.

Hi there!

Meet michael.

Michael is a PhD Candidate in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT). His research focuses on solving the problems that arise in the highly-complex systems of today as we see automation enter many areas in our daily life from cars and aircraft to applications in our private households.

aNTICIPATE THE CHALLENGE

Today`s systems require systems thinking

The systems we are building today are characterized by high complexity, an increasing amount of software, and interactions between humans and automation. In order to achieve our goals with these kinds of systems we need to adopt a systems perspective.

What are the challenges of today?

The big questions and their solutions!
See how!

join THE MOVEMENT

BECOME A COLLABORATOR

Join me on one of my projects and bring in your perspective to find solutions that solve problems in your environment!

How can we build better systems?

Start contributing and learning for yourself!
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MICHAEL'S mission is to help Achieve system goals and realize benefits.

check out mIchael`s work

RECENT PUBLICATIONS AND MATERIALS

Publications

Schmid, M. (2020). Model-Based Certification of Automated Vehicles (Master`s thesis). Massachusetts Institute of Technology, Cambridge, USA.

Talks & Presentations

Play Video

Offline recording of my presentation about certification of automated vehicles at the meeting of the Engineering Systems Lab (ESL) on January 13, 2021. Due to privacy reasons the Q&A session has been cut out. 

Hot Questions

Most frequent questions and their answers

How safe is safe enough?

July 28, 2020

This question is at the center of many efforts in the AV field. However, safety is a system property that is hard to measure, to prove, and assure. Absolute safety can never be guaranteed but there are tools that can provide guidance in design and help make design decisions as good as they can be. For instance, methods that are based on systems theory such as STPA and CAST are one way to provide guidance from early in the design and build emergent system properties such as safety into a system. 

This could be your question!

Send me an email and let me know your questions!

Reads of the Month

interesting picks around the topic of Automation and ai

July 2020

October 2020

get in touch.

Phone: + 1 857 999 65 60
Email: michael.seb.schmid@gmail.com
77 Massachusetts Avenue, Building 33-407

Cambridge, Massachusetts 02139-4307

Hello

I’m MICHAEL, An Automation Enthusiast

I’M MICHAEL, A researcher in complex systems - HELPING Companies realize their vision

Hi, I am Michael — a PhD Candidate in the field of Autonomous Systems at the Massachusetts Institute of Technology (MIT). I have always had a strong passion for systems — strong enough to let go a career as a jet pilot and become a systems engineer. What I found more interesting than flying a large aircraft is the inherent idea of systems: You put a number of things together and what you receive is something greater than the sum of the parts. For instance, in a company each person has a specific function but only together will each one`s contribution lead to achieving company goals. Systems achieve goals by an interaction of their components…

The interaction of components results in system behavior. While some interactions produce desired system outputs there are others that we would rather prevent. The key to complex systems is controlling the outputs of our system! Working with Nancy Leveson and John Thomas, the creator and the facilitators of the STAMP framework and the associated STPA and CAST methods, I learned a more effective view on systems and methods to solve the kinds of problems that we see with the complex systems of today.

While this is a very basic characteristic of systems I witnessed myself during my time as an engineer in industry that this is often neglected and many problems today are still approached using the wrong tools. As a result, we see accidents, delayed projects, cost overruns, unsatisfied workforce, and many other symptoms of systems that need to be fixed. The upcoming era of Automation and Artificial Intelligence is about to stretch the limits of our existing paradigms even more and call for a solution. Let me show you one!

I`m Interested -- What are the Projects?

  • Analysis of Development Processes for AI Applications
  • Safety Analysis of an Autonomous Driving Software

*currently active projects