Learn how to turn Machine Learning into a success.
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.
Learn how to approach building autonomous cars.
Learn STAMP, STPA, and how to apply a systems approach to subsystems.
Struggle with bringing automation to the market? Stop worrying about overly restrictive regulation and download a blueprint to start certifying your automation.
Hi, I am Michael — an Automation Architect and 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 study systems. What I found more interesting than flying a large aircraft is a key characteristic of systems: You put a number of things together and what you receive is something greater than the sum of the parts.
System behavior emerges from the interaction of a system`s components. However, not all system behavior that emerges is wanted. The key to making any innovation a success is controlling unwanted behavior!
Nevertheless, even today many companies still approach building innovative technology from the wrong angle. Accidents, project delays, cost overruns, unsatisfied workforce and customers, are some of the symptoms that we usually see. I have found those symptoms in projects across industries and started looking for a solution. This is when I found a new approach to set companies up for success.
Don`t worry, we`ll find a solution!