We are proud to invite you to the Skoltech Colloquium!
Guest Speaker: Dr. Daniel Selva received a PhD in Space Systems from MIT in 2012, and he is Assistant Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University, where he directs the Systems Engineering, Architecture, and Knowledge (SEAK) Lab. His research interests focus on the application of knowledge engineering, global optimization and machine learning techniques to space systems engineering and architecture. Prior to MIT, Daniel worked for four years in Kourou (French Guiana) as a member of the Ariane 5 Launch team. Daniel has a dual background in electrical engineering and aeronautical engineering, with degrees from Universitat Politecnica de Catalunya in Barcelona, Spain, and Supaero in Toulouse, France. He is a 2007 la Caixa fellow, and received the Nortel Networks prize for academic excellence in 2002.
When: February 27; 4:00pm.
Where: Hypercube, 3rd floor (please see the location map attached).
What: Encoding and reasoning with expert knowledge in system architecture: applications in satellite systems.
Abstract: Every system has an architecture: its essence, a high-level abstraction of its design. The process of choosing a system architecture is of critical importance: most of the performance and lifecycle cost of a system are fixed or committed by architectural decisions. And yet, most organizations still select system architectures based on unstructured, 100% human processes. This results in potentially sub-optimal architectures chosen from a very reduced set of candidate architectures, due to human limitations: bias, inconsistency in assessments, and low “computational speed”. On the other hand, much more structured, computer-aided processes are used in later phases of system design. These tools bring rigor, consistency, and exhaustiveness into the design process. Why can’t we use similar processes for system architecture? The answer is that system architecture is a much more open-ended, ill-posed problem that goes well beyond configuration design. This is the kind of task at which humans excel, and computers cannot do. What is needed is a theory and a set of interactive tools that can combine the strengths of both humans and computers to find optimal system architectures. My research group at Cornell strives to address these problems by using concepts from logical reasoning systems, knowledge engineering, global optimization, and machine learning. I will discuss how the application of some of these techniques to two real-life complex system architecture problems in the domain of satellite systems for Earth observation, and communications brought forth interesting insights about these problems.
Please confirm your attendance. Pass on the territory is needed!!
Transfers:
If you go by car please pass the details of your car to Alesya Garifullina so she could order a pass for you to the Hypercube. Please see the location map attached.
You can also use our shuttle bus which will depart from Slavyansky Boulevard at 3:15pm ( the last carriage from the city center, turn right and then go around the metro vestibule) Scheme attached.
It will go to the MSM first, and at 3:45 will depart from the MSM from the parking area near Karakorum building to the Hypercube.
Join us on Facebook: https://www.facebook.com/pages/Skoltech-Colloquium/667982569920574
Past schedule and video: https://www.skoltech.ru/en/colloquium/past-schedule/
If you like to participate and for further information or questions, please Liliya Abaimova
We look forward to seeing you.
